# Geopera Spectral Indices Database

> Comprehensive technical reference for satellite spectral indices used in remote sensing analysis. 226 indices across 24 satellite sensors with formulas, code samples, and sensor-specific band mappings.

Geopera operates a satellite imagery platform. This documentation site provides the canonical reference for spectral index formulas, sensor compatibility, and implementation code in Python and R.

## Tools
- [AI Assistant](https://docs.geopera.com/spectral-indices/ask): Ask questions about spectral indices, get sensor-specific recommendations, and generate code.
- [Spectral Index Calculator](https://docs.geopera.com/spectral-indices/calculator): Interactive calculator for any sensor and index combination.
- [Sensor Comparison](https://docs.geopera.com/spectral-indices/compare): Compare spectral bands across satellite sensors.

## Documentation
- [Welcome](https://docs.geopera.com/): Introduction to the Geopera platform and documentation.
- [Get Started](https://docs.geopera.com/get-started): Quickstart guide for using satellite imagery and spectral indices.
- [Spectral Indices Database](https://docs.geopera.com/spectral-indices): Browse all 226 indices grouped by category.
- [Data Collections](https://docs.geopera.com/data): Specifications for all satellite imagery collections we deliver.
- [Live Orbits](https://docs.geopera.com/data/sky): Interactive 3D globe tracking all Geopera's satellites — click any for its 24-hour ground track.
- [Data Concepts](https://docs.geopera.com/data-concepts): Glossary of satellite imagery terminology written for technical buyers.

## API Reference & SDKs
> The Geopera platform is a capability kernel: 227 typed operations, all invoked as POST /v1/op/{operation_id}. Documented across the REST API, the Python and TypeScript SDKs, the CLI, and the MCP gateway for AI agents.
- [API Reference](https://docs.geopera.com/api-reference): The Geopera API — one typed operation per capability, reachable from REST, the SDKs, and AI agents.
- [Authentication](https://docs.geopera.com/api-reference/authentication): Authenticate every request with a Bearer token — either a session token or a minted gpra_ API key — and understand the principal and scope model behind it.
- [Core Concepts](https://docs.geopera.com/api-reference/concepts): The operation model, side-effect tiers, idempotency, provenance, and the multi-client surface.
- [Errors](https://docs.geopera.com/api-reference/errors): The problem+json error model, the full status-code catalogue, and how to handle each class of failure.
- [Alerts & notifications](https://docs.geopera.com/api-reference/guides/alerts-and-notifications): Define alert rules that evaluate band math against new items, then read and acknowledge the events and in-app notifications they raise.
- [Auto-downloading orders](https://docs.geopera.com/api-reference/guides/auto-download): Subscribe to order.fulfilled, verify the delivery, list what landed, and pull every asset down with short-lived signed URLs — no polling.
- [Bulk ordering with cloud-aware selection](https://docs.geopera.com/api-reference/guides/batch-ordering): Order thousands of areas without picking captures by hand — measure what each capture actually delivers over your area, then let the API choose the minimal set.
- [Billing & credits](https://docs.geopera.com/api-reference/guides/billing): Credits, top-ups, the 3-D Secure retry, auto top-up, and how spend operations charge.
- [Catalog discovery](https://docs.geopera.com/api-reference/guides/catalog-discovery): Find imagery across commercial hosts, free data sources, and your own STAC items using AOI, time, cloud-cover, and collection filters.
- [Clipping](https://docs.geopera.com/api-reference/guides/clipping): Clip an item's raster assets to an area of interest, poll the async job to completion, and retrieve the result as a signed-URL descriptor.
- [Enterprise & governance](https://docs.geopera.com/api-reference/guides/enterprise): Enterprise post-pay billing, minimum commitments and take-or-pay, monthly statements, and per-member spend caps.
- [Managing data](https://docs.geopera.com/api-reference/guides/managing-data): Organize delivered imagery with items, collections, and assets — list, fetch, update, soft-delete, and download the data your projects produce.
- [Ordering archive imagery](https://docs.geopera.com/api-reference/guides/ordering): Search the catalog, preview the server-authoritative price, and place an archive order — with idempotency and billing modes.
- [Processing & analytics](https://docs.geopera.com/api-reference/guides/processing): Clip to an AOI, run a processing job, and execute pluggable analytics like change detection over one or many items.
- [Provenance & lineage](https://docs.geopera.com/api-reference/guides/provenance): How Geopera records lineage at write time, what gets recorded, and what that guarantees.
- [Sharing](https://docs.geopera.com/api-reference/guides/sharing): Create, scope, validate, and revoke password-protected share links that expose a single item or collection to people outside your organization.
- [Tasking new acquisitions](https://docs.geopera.com/api-reference/guides/tasking): Order a new satellite acquisition over an AOI — feasibility, quotation, and one-step priced accept.
- [Uploading your own data](https://docs.geopera.com/api-reference/guides/uploads): Bring your own COGs into a project as STAC items + assets — initiate, sign, upload, complete.
- [Visualization & tiles](https://docs.geopera.com/api-reference/guides/visualization-and-tiles): Render imagery as XYZ map tiles, discover the visualizations available for an item, and serve them to map clients over WMTS.
- [Webhooks](https://docs.geopera.com/api-reference/guides/webhooks): Subscribe to platform events, verify the HMAC signature, and rely on durable at-least-once delivery.
- [Idempotency](https://docs.geopera.com/api-reference/idempotency): Use the Idempotency-Key header to make money-mutating operations safe to retry, so a dropped connection never charges or orders twice.
- [Operations Reference](https://docs.geopera.com/api-reference/operations): Every Geopera operation, grouped by domain, with its required scope and side-effect tier.
- [Alerts operations](https://docs.geopera.com/api-reference/operations/alerts): Full reference for the alerts operations — request fields, response model, scope, and side-effect.
- [Analytics operations](https://docs.geopera.com/api-reference/operations/analytics): Full reference for the analytics operations — request fields, response model, scope, and side-effect.
- [API keys operations](https://docs.geopera.com/api-reference/operations/api-keys): Full reference for the api keys operations — request fields, response model, scope, and side-effect.
- [Assets operations](https://docs.geopera.com/api-reference/operations/assets): Full reference for the assets operations — request fields, response model, scope, and side-effect.
- [Band formulas operations](https://docs.geopera.com/api-reference/operations/band-formulas): Full reference for the band formulas operations — request fields, response model, scope, and side-effect.
- [Billing operations](https://docs.geopera.com/api-reference/operations/billing): Full reference for the billing operations — request fields, response model, scope, and side-effect.
- [Catalog & search operations](https://docs.geopera.com/api-reference/operations/catalog): Full reference for the catalog & search operations — request fields, response model, scope, and side-effect.
- [Clipping operations](https://docs.geopera.com/api-reference/operations/clip): Full reference for the clipping operations — request fields, response model, scope, and side-effect.
- [COG & tiles operations](https://docs.geopera.com/api-reference/operations/cog): Full reference for the cog & tiles operations — request fields, response model, scope, and side-effect.
- [Collections operations](https://docs.geopera.com/api-reference/operations/collections): Full reference for the collections operations — request fields, response model, scope, and side-effect.
- [EULAs operations](https://docs.geopera.com/api-reference/operations/eulas): Full reference for the eulas operations — request fields, response model, scope, and side-effect.
- [Event subscriptions operations](https://docs.geopera.com/api-reference/operations/event-subscriptions): Full reference for the event subscriptions operations — request fields, response model, scope, and side-effect.
- [Glossary operations](https://docs.geopera.com/api-reference/operations/glossary): Full reference for the glossary operations — request fields, response model, scope, and side-effect.
- [Items operations](https://docs.geopera.com/api-reference/operations/items): Full reference for the items operations — request fields, response model, scope, and side-effect.
- [Mosaic operations](https://docs.geopera.com/api-reference/operations/mosaic): Full reference for the mosaic operations — request fields, response model, scope, and side-effect.
- [Notifications operations](https://docs.geopera.com/api-reference/operations/notifications): Full reference for the notifications operations — request fields, response model, scope, and side-effect.
- [Orders & tasking operations](https://docs.geopera.com/api-reference/operations/orders): Full reference for the orders & tasking operations — request fields, response model, scope, and side-effect.
- [Organizations operations](https://docs.geopera.com/api-reference/operations/organizations): Full reference for the organizations operations — request fields, response model, scope, and side-effect.
- [Payment methods operations](https://docs.geopera.com/api-reference/operations/payment-methods): Full reference for the payment methods operations — request fields, response model, scope, and side-effect.
- [Processing operations](https://docs.geopera.com/api-reference/operations/processing): Full reference for the processing operations — request fields, response model, scope, and side-effect.
- [Projects operations](https://docs.geopera.com/api-reference/operations/projects): Full reference for the projects operations — request fields, response model, scope, and side-effect.
- [Provenance operations](https://docs.geopera.com/api-reference/operations/provenance): Full reference for the provenance operations — request fields, response model, scope, and side-effect.
- [Reports operations](https://docs.geopera.com/api-reference/operations/reports): Full reference for the reports operations — request fields, response model, scope, and side-effect.
- [Sharing operations](https://docs.geopera.com/api-reference/operations/share): Full reference for the sharing operations — request fields, response model, scope, and side-effect.
- [STAC operations](https://docs.geopera.com/api-reference/operations/stac): Full reference for the stac operations — request fields, response model, scope, and side-effect.
- [Uploads operations](https://docs.geopera.com/api-reference/operations/uploads): Full reference for the uploads operations — request fields, response model, scope, and side-effect.
- [Usage operations](https://docs.geopera.com/api-reference/operations/usage): Full reference for the usage operations — request fields, response model, scope, and side-effect.
- [Visualization operations](https://docs.geopera.com/api-reference/operations/visualization): Full reference for the visualization operations — request fields, response model, scope, and side-effect.
- [Pagination](https://docs.geopera.com/api-reference/pagination): How list and search operations page their results, the three field conventions, and how to loop through every result yourself.
- [Quickstart](https://docs.geopera.com/api-reference/quickstart): Get a token, make your first call, and place an order — end to end in a few minutes.
- [Rate limits](https://docs.geopera.com/api-reference/rate-limits): How per-key throttling works, the 429 contract, and how to back off and retry safely.
- [Scopes & authorization](https://docs.geopera.com/api-reference/scopes): The complete catalog of operation scopes, how they map to API-key capabilities and member roles, and what a denied call returns.
- [CLI](https://docs.geopera.com/api-reference/sdks/cli): A structured command tree where every operation is a command — geopera <resource> <action> — with schema-derived flags, a --json fallback, and a low-level escape hatch for scripting.
- [CLI authentication & login](https://docs.geopera.com/api-reference/sdks/cli/authentication): Sign the geopera CLI in with the OAuth device flow or a headless API key, manage profiles, refresh and rotate tokens, inspect the current principal, and sign out.
- [CI & recipes](https://docs.geopera.com/api-reference/sdks/cli/ci-recipes): Run the geopera CLI headlessly in pipelines — token-from-env auth, structured commands, piped JSON bodies, jq parsing, exit-code scripting, and multi-profile setups.
- [CLI command reference](https://docs.geopera.com/api-reference/sdks/cli/commands): Per-command reference for the geopera CLI — the generated resource/action command tree, how operation ids map to commands and request fields map to flags, plus login, logout, whoami, completion, the geopera op escape hatch, and the exit-code contract.
- [Profiles & configuration](https://docs.geopera.com/api-reference/sdks/cli/configuration): How the geopera CLI resolves the active profile and API base URL, where credentials are stored, and the environment variables and flags that override them.
- [Using geopera op](https://docs.geopera.com/api-reference/sdks/cli/op): The low-level escape hatch — invoke any operation by id with a raw JSON body, for scripting or operations not yet in the command tree.
- [AI agents (MCP)](https://docs.geopera.com/api-reference/sdks/mcp): Connect an AI agent to Geopera through a Model Context Protocol server that exposes Geopera operations as typed tools.
- [MCP authentication & token modes](https://docs.geopera.com/api-reference/sdks/mcp/authentication): How an MCP client connects to Geopera and which credential each tool call runs as, across the hosted endpoint and a local stdio connection.
- [Quickstart: Hosted MCP (HTTP + OAuth)](https://docs.geopera.com/api-reference/sdks/mcp/hosted): Connect an MCP client to the hosted streamable-HTTP gateway, sign in once through the browser, and have the agent act as the real signed-in user.
- [Quickstart: Local (stdio)](https://docs.geopera.com/api-reference/sdks/mcp/quickstart-local): Run the Geopera MCP server on your own machine over stdio and connect it to Claude Desktop or Claude Code with a single token.
- [Agent recipes](https://docs.geopera.com/api-reference/sdks/mcp/recipes): A worked end-to-end MCP workflow — discover, estimate, confirm, act, verify — that an agent runs to buy archive imagery safely.
- [Safety & side-effects](https://docs.geopera.com/api-reference/sdks/mcp/safety): How each MCP tool's side-effect tier maps to standard MCP tool annotations, and how agents should gate spend and destructive calls.
- [Verify your setup](https://docs.geopera.com/api-reference/sdks/mcp/testing): Confirm your MCP client is connected to Geopera by asking the agent to run one low-risk operation and checking that it returns a result.
- [Tool reference](https://docs.geopera.com/api-reference/sdks/mcp/tools): How the MCP gateway exposes ~188 governed operations as tools — reads, lists, and mutations — with the tool name, scope, and side-effect tier for each.
- [Python SDK](https://docs.geopera.com/api-reference/sdks/python): The official, fully typed Python client for Geopera, with a fluent client over a generated client and one module per operation.
- [Async usage](https://docs.geopera.com/api-reference/sdks/python/async): Run any operation concurrently with the Python SDK's first-class asyncio support, sharing one httpx-backed client across awaited calls.
- [Authentication](https://docs.geopera.com/api-reference/sdks/python/authentication): Authenticate the Python SDK with a Geopera API key or a session token using the Geopera client, with AuthenticatedClient as the lower-level escape hatch.
- [Client Configuration](https://docs.geopera.com/api-reference/sdks/python/configuration): Configure the Python client — token, base URL, auth header, timeouts, TLS, redirects, default headers and cookies, retries, proxies, and the underlying httpx client.
- [Error handling](https://docs.geopera.com/api-reference/sdks/python/errors): How the Python SDK surfaces failures as returned typed models rather than raised exceptions, and how to handle each case.
- [Typed models](https://docs.geopera.com/api-reference/sdks/python/models): Build request bodies and read responses with the Python SDK's typed attrs models, the UNSET sentinel, and the helpers in geopera.types — and pass plain dicts to the fluent client when you prefer.
- [Calling operations](https://docs.geopera.com/api-reference/sdks/python/operations): Call any Geopera operation from the Python SDK with client.resource.action(body), pass detailed=True for the typed Response, and drop down to the per-operation modules when you need the raw HTTP response.
- [Pagination](https://docs.geopera.com/api-reference/sdks/python/pagination): Page through list operations in the Python SDK using the body-level limit and offset fields, with both the fluent client and the low-level operation modules.
- [Python recipes](https://docs.geopera.com/api-reference/sdks/python/recipes): Complete, runnable end-to-end recipes for the Python SDK — catalog search, tasking estimates, archive orders, processing jobs, billing top-ups, and event subscriptions.
- [Operation reference](https://docs.geopera.com/api-reference/sdks/python/reference): Every Geopera operation mapped to its Python SDK module and input model.
- [Uploads & downloads](https://docs.geopera.com/api-reference/sdks/python/uploads-downloads): How the Python SDK handles the upload session flow and download descriptors — and the byte transfer you do yourself with httpx, shown with the fluent client.
- [TypeScript SDK](https://docs.geopera.com/api-reference/sdks/typescript): Install and use @geopera/sdk to call any Geopera operation from TypeScript through fully typed resource namespaces, with compile-time type-safety on every request body and response.
- [Advanced usage](https://docs.geopera.com/api-reference/sdks/typescript/advanced): Override the base URL, inject a custom fetch, send custom headers and idempotency keys, cancel in-flight requests, and paginate manually with the TypeScript SDK.
- [TypeScript SDK Authentication](https://docs.geopera.com/api-reference/sdks/typescript/authentication): Authenticate the @geopera/sdk TypeScript client with an API key or session token.
- [Client reference](https://docs.geopera.com/api-reference/sdks/typescript/client-reference): The public API of the @geopera/sdk TypeScript package — GeoperaClient, the namespace surface, invoke, callOperation, and the exported types.
- [Error handling](https://docs.geopera.com/api-reference/sdks/typescript/errors): How the TypeScript SDK surfaces API failures via GeoperaError and how to distinguish them from network and abort errors.
- [Operations](https://docs.geopera.com/api-reference/sdks/typescript/operations): Every Geopera operation callable through the TypeScript SDK invoke() method.
- [TypeScript SDK Quickstart](https://docs.geopera.com/api-reference/sdks/typescript/quickstart): Install @geopera/sdk, construct a client, and make your first fully-typed operation call through typed resource namespaces in TypeScript.
- [Versioning](https://docs.geopera.com/api-reference/sdks/typescript/versioning): How @geopera/sdk versions are numbered with SemVer, how the package version relates to the /v1 API surface, and what "breaking" means for each.
- [STAC & OGC compatibility](https://docs.geopera.com/api-reference/stac-and-ogc): How Geopera exposes STAC 1.0.0 Items, search, and mosaics, OGC WMTS tiles, OGC API - Processes, and the standard STAC/WMTS/OGC REST endpoints for off-the-shelf clients.
- [Versioning](https://docs.geopera.com/api-reference/versioning): How the path-encoded API surface version and the independently SemVer-versioned client packages relate, and what counts as a breaking change for each.

## Data Collections (satellite specifications)
- [BJ3A](https://docs.geopera.com/data/bj3a): 50 cm multispectral, China's Beijing-3A satellite — wide swath for sub-meter
- [BJ3N](https://docs.geopera.com/data/bj3n): 30 cm multispectral, Beijing-3N (formerly Beijing-3B) — sub-meter with up to 45° off-nadir
- [Dragonette-1](https://docs.geopera.com/data/dragonette-001): 5.3 m hyperspectral imagery — 24 bands across green, yellow, red, red edge, NIR
- [Dragonette-2/3](https://docs.geopera.com/data/dragonette-002): 5.3 m hyperspectral imagery — 31 bands, dual-satellite constellation
- [Gaofen-1](https://docs.geopera.com/data/gaofen-1): 2 m multispectral, Chinese national EO satellite, 800 km wide-field swath
- [Gaofen-2](https://docs.geopera.com/data/gaofen-2): 80 cm multispectral, Chinese national EO satellite
- [GeoEye-1](https://docs.geopera.com/data/geoeye-1): 40 cm multispectral, Vantor archive since 2008
- [Göktürk-1](https://docs.geopera.com/data/gokturk): 50 cm multispectral, Türkiye's national EO satellite
- [Jilin-1](https://docs.geopera.com/data/jl1-50cm): 50 cm multispectral, the largest commercial constellation, lowest cost on the market
- [Jilin-1 GF03D](https://docs.geopera.com/data/jl1-75cm): 75 cm pansharpened multispectral, Jilin-1 GF03D series — steerable sub-meter wide-area coverage
- [KOMPSAT-3](https://docs.geopera.com/data/kompsat-3): 50 cm multispectral, South Korean national EO with 2-day revisit
- [KOMPSAT-3A](https://docs.geopera.com/data/kompsat-3a): 40 cm multispectral with thermal infrared, South Korean EO
- [Landsat 8/9](https://docs.geopera.com/data/landsat-8-9): 30m multispectral plus thermal, free, global, continuing the 50-year Landsat record
- [NAIP](https://docs.geopera.com/data/naip): 60 cm aerial multispectral, US-only, biennial archive since 2003
- [Sentinel-2](https://docs.geopera.com/data/sentinel-2): 10m multispectral imagery, free, global, every 5 days
- [SuperView-1](https://docs.geopera.com/data/superview-1): 50 cm multispectral, four-satellite Chinese constellation
- [SuperView-2](https://docs.geopera.com/data/superview-2): 42 cm multispectral with red-edge, Siwei's newer SuperView-2 / GaoJing-2 constellation
- [SuperView Neo](https://docs.geopera.com/data/superview-30cm): 30 cm multispectral, Siwei's flagship SuperView Neo-1 / Siwei Gaojing-1
- [TripleSat](https://docs.geopera.com/data/triplesat): 80 cm multispectral, three-satellite constellation with daily revisit
- [WorldView 1](https://docs.geopera.com/data/worldview-1): 50 cm panchromatic — black and white only, no spectral bands
- [WorldView 2](https://docs.geopera.com/data/worldview-2): 50 cm multispectral with 8 bands, 16-year archive since 2009
- [WorldView 3](https://docs.geopera.com/data/worldview-3): 30 cm multispectral with 8 bands and SWIR, the gold standard for commercial Earth observation
- [WorldView 4](https://docs.geopera.com/data/worldview-4): 31 cm multispectral with 4 bands — archive only, sensor failed in orbit 2019
- [WorldView Legion](https://docs.geopera.com/data/worldview-legion): 34 cm multispectral, Vantor's newest constellation with 15× daily revisit

## Data Concepts (glossary)
- [Tasking tiers — regular, priority, speculative](https://docs.geopera.com/data-concepts/tasking-tiers): Three commercial tiers determine how aggressively the satellite operator chases your acquisition window.
- [Catalog (archive) imagery](https://docs.geopera.com/data-concepts/catalog): Imagery that already exists in the archive — fastest, cheapest path when you can flex on quality parameters.
- [Feasibility check](https://docs.geopera.com/data-concepts/feasibility-check): Operations matches a tasking request against constellation orbit predictions to produce a list of collection opportunities.
- [Orthorectification](https://docs.geopera.com/data-concepts/orthorectification): Geometric correction that projects imagery onto a digital elevation model so every pixel sits at its true ground position.
- [Surface reflectance (and atmospheric correction)](https://docs.geopera.com/data-concepts/surface-reflectance): Converts raw sensor counts into the actual fraction of light reflected by the ground — required for any quantitative or multi-date work.
- [Pansharpening](https://docs.geopera.com/data-concepts/pansharpening): Fuses high-resolution panchromatic with lower-resolution multispectral to produce sharper colour imagery.
- [Mosaicking](https://docs.geopera.com/data-concepts/mosaicking): Stitches many scenes into a seamless, cloud-removed composite over a large AOI.
- [DSM — Digital Surface Model](https://docs.geopera.com/data-concepts/dsm): A 3D model of everything visible from above — ground, trees, buildings, infrastructure, vehicles. Built from stereo or tri-stereo captures.
- [DTM — Digital Terrain Model](https://docs.geopera.com/data-concepts/dtm): Bare-earth 3D model with trees, buildings and other surface features removed or interpolated through.
- [GSD — Ground Sample Distance](https://docs.geopera.com/data-concepts/gsd): The size of one pixel on the ground. 30 cm GSD means each pixel covers a 30 cm square.
- [Off-nadir angle](https://docs.geopera.com/data-concepts/off-nadir): How far the satellite tilted from straight-down when capturing. Higher angles give more collection opportunities but degrade quality.
- [Cloud cover](https://docs.geopera.com/data-concepts/cloud-cover): Cloud percentage matters per-AOI, not per-scene. Thin cirrus is the silent killer.
- [Sun elevation angle](https://docs.geopera.com/data-concepts/sun-elevation): How high the sun was at capture time. Affects shadows, illumination consistency, and time-series comparability.
- [Spectral bands](https://docs.geopera.com/data-concepts/spectral-bands): Different sensors capture different parts of the electromagnetic spectrum. More bands means more analytical options.
- [Bit depth — 8-bit vs 16-bit](https://docs.geopera.com/data-concepts/bit-depth): Determines how many distinct values the sensor can record per band. 16-bit preserves dynamic range needed for quantitative work.
- [Processing levels — L0, L1, L2, L3](https://docs.geopera.com/data-concepts/processing-levels): Industry shorthand for how much processing has been applied. Definitions vary by provider but the rough hierarchy is consistent.
- [Optical vs SAR (synthetic aperture radar)](https://docs.geopera.com/data-concepts/optical-vs-sar): Optical sensors capture reflected sunlight. SAR sensors emit radar pulses and measure the echo — they see through clouds and at night.
- [Sun-synchronous orbit and LEO](https://docs.geopera.com/data-concepts/orbits): Why Earth observation satellites all live in similar orbits at similar altitudes — and why that drives revisit times.
- [Ground stations and downlink](https://docs.geopera.com/data-concepts/ground-stations): Satellites can only send data to Earth when overhead a ground station. Ground station geography drives delivery latency.
- [Revisit rate — theoretical vs real](https://docs.geopera.com/data-concepts/revisit): How often a given point on Earth can be imaged. The number on a spec sheet is the theoretical maximum; real revisit at acceptable quality is usually half that.
- [Swath width](https://docs.geopera.com/data-concepts/swath): The width of the strip of ground the satellite images in a single pass. Determines coverage per acquisition and how quickly a constellation can cover wide areas.
- [Stereo and tri-stereo capture](https://docs.geopera.com/data-concepts/stereo): When the satellite captures the same area from two or three angles in a single pass — required for DSM and DTM generation.
- [AOI — Area of Interest](https://docs.geopera.com/data-concepts/aoi): The geographic region you want imaged. Shape and size both affect feasibility and pricing.
- [CRS — Coordinate Reference Systems](https://docs.geopera.com/data-concepts/crs): How geographic coordinates are projected onto a map. UTM-WGS84 is the most common for satellite imagery deliveries.
- [Positional accuracy (CE90)](https://docs.geopera.com/data-concepts/positional-accuracy): How closely a pixel's reported geographic position matches its true ground position. Reported as CE90 — the radius within which 90% of points fall.
- [Sensor noise, speckle, and artefacts](https://docs.geopera.com/data-concepts/noise-and-noise-handling): Real-world imagery has imperfections. How they are handled determines whether downstream analytics produce reliable results.

## Vegetation Indices (149)
- [ARI](https://docs.geopera.com/spectral-indices/ari): Anthocyanin Reflectance Index
- [ARVI](https://docs.geopera.com/spectral-indices/arvi): Atmospherically Resistant Vegetation Index
- [ARVI2](https://docs.geopera.com/spectral-indices/arvi2): Atmospherically Resistant Vegetation Index 2
- [BGI](https://docs.geopera.com/spectral-indices/bgi): Blue Green Pigment Index
- [BNDVI](https://docs.geopera.com/spectral-indices/bndvi): Blue Normalized Difference Vegetation Index
- [bNIRv](https://docs.geopera.com/spectral-indices/bnirv): Blue Near-Infrared Reflectance of Vegetation
- [BRI](https://docs.geopera.com/spectral-indices/bri): Blue Red Pigment Index
- [BWDRVI](https://docs.geopera.com/spectral-indices/bwdrvi): Blue Wide Dynamic Range Vegetation Index
- [CIrededge](https://docs.geopera.com/spectral-indices/ci_rededge): Chlorophyll Index Red Edge
- [CIrededge710](https://docs.geopera.com/spectral-indices/cirededge710): Chlorophyll Index RedEdge 710
- [CRI550](https://docs.geopera.com/spectral-indices/cri550): Carotenoid Reflectance Index 550
- [CRI700](https://docs.geopera.com/spectral-indices/cri700): Carotenoid Reflectance Index 700
- [Ctr1](https://docs.geopera.com/spectral-indices/carter1): Simple Ratio 695/420 Carter1
- [Ctr2](https://docs.geopera.com/spectral-indices/carter2): Simple Ratio 695/760 Carter2
- [Ctr3](https://docs.geopera.com/spectral-indices/ctr3): Carter Stress Index 3
- [Ctr4](https://docs.geopera.com/spectral-indices/ctr4): Carter Stress Index 4
- [Ctr6](https://docs.geopera.com/spectral-indices/carter6): Simple Ratio 550/420 Carter6
- [DVI](https://docs.geopera.com/spectral-indices/dvi): Simple Ratio NIR/RED Difference Vegetation Index
- [EVI](https://docs.geopera.com/spectral-indices/evi): Enhanced Vegetation Index
- [GARI](https://docs.geopera.com/spectral-indices/gari): Green Atmospherically Resistant Vegetation Index
- [GDVI](https://docs.geopera.com/spectral-indices/gdvi): Green Difference Vegetation Index
- [GEMI](https://docs.geopera.com/spectral-indices/gemi): Global Environment Monitoring Index
- [GEMI](https://docs.geopera.com/spectral-indices/gemi2): Global Environmental Monitoring Index
- [GI](https://docs.geopera.com/spectral-indices/gi): Greenness Index
- [GNDVI](https://docs.geopera.com/spectral-indices/gndvi): Green Normalized Difference Vegetation Index
- [GOSAVI](https://docs.geopera.com/spectral-indices/gosavi): Green Optimized Soil Adjusted Vegetation Index
- [GRVI](https://docs.geopera.com/spectral-indices/grvi): Green Ratio Vegetation Index
- [GSAVI](https://docs.geopera.com/spectral-indices/gsavi): Green Soil Adjusted Vegetation Index
- [GVI](https://docs.geopera.com/spectral-indices/gvi_tc): Tasselled Cap - vegetation
- [IPVI](https://docs.geopera.com/spectral-indices/ipvi): Infrared Percentage Vegetation Index
- [LCI](https://docs.geopera.com/spectral-indices/lci): Leaf Chlorophyll Index
- [mARI](https://docs.geopera.com/spectral-indices/ari2): Modified Anthocyanin Reflectance Index
- [MCARI](https://docs.geopera.com/spectral-indices/mcari): Modified Chlorophyll Absorption in Reflectance Index
- [MCARI/MTVI2](https://docs.geopera.com/spectral-indices/mcari_mtvi2): MCARI/MTVI2
- [MCARI/OSAVI](https://docs.geopera.com/spectral-indices/mcari_osavi): MCARI/OSAVI
- [MCARI/OSAVI750](https://docs.geopera.com/spectral-indices/mcari_osavi750): MCARI/OSAVI750
- [MCARI1](https://docs.geopera.com/spectral-indices/mcari1): Modified Chlorophyll Absorption in Reflectance Index 1
- [MCARI2](https://docs.geopera.com/spectral-indices/mcari2): Modified Chlorophyll Absorption in Reflectance Index 2
- [MCARI710](https://docs.geopera.com/spectral-indices/mcari710): Modified Chlorophyll Absorption Ratio Index 710
- [mND705](https://docs.geopera.com/spectral-indices/mnd705): Modified Normalized Difference (705, 750 and 445 nm)
- [MNLI](https://docs.geopera.com/spectral-indices/mnli): Modified Nonlinear Index
- [MSAVI](https://docs.geopera.com/spectral-indices/msavi): Modified Soil Adjusted Vegetation Index
- [MSAVIhyper](https://docs.geopera.com/spectral-indices/msavi_hyper): Modified Soil Adjusted Vegetation Index Hyper
- [MSI](https://docs.geopera.com/spectral-indices/msi): Moisture Stress Index
- [MSR670](https://docs.geopera.com/spectral-indices/msr670): Modified Simple Ratio 670,800
- [mSR705](https://docs.geopera.com/spectral-indices/msr705): Modified Simple Ratio (705 and 445 nm)
- [MSR705](https://docs.geopera.com/spectral-indices/msr705_750): Modified Simple Ratio 705,750
- [MTVI1](https://docs.geopera.com/spectral-indices/mtvi1): Modified Triangular Vegetation Index 1
- [MTVI2](https://docs.geopera.com/spectral-indices/mtvi2): Modified Triangular Vegetation Index 2
- [NBR](https://docs.geopera.com/spectral-indices/nbr): Normalized Burn Ratio
- [ND MIR/NIR](https://docs.geopera.com/spectral-indices/nd_mir_nir): Normalized Difference MIR/NIR Vegetation Index
- [NDII](https://docs.geopera.com/spectral-indices/ndii): Normalized Difference Infrared Index
- [NDLI](https://docs.geopera.com/spectral-indices/ndli): Normalized Difference Lignin Index
- [NDMI](https://docs.geopera.com/spectral-indices/ndmi): Normalized Difference Moisture Index
- [NDNI](https://docs.geopera.com/spectral-indices/ndni): Normalized Difference Nitrogen Index
- [NDRE](https://docs.geopera.com/spectral-indices/ndre): Normalized Difference Red-Edge
- [NDVI](https://docs.geopera.com/spectral-indices/ndvi): Normalized Difference Vegetation Index
- [NDVI](https://docs.geopera.com/spectral-indices/ndvi_classic): Normalized Difference Vegetation Index (Classic)
- [NDVIc](https://docs.geopera.com/spectral-indices/ndvic): Normalized Difference Vegetation Index C
- [NDWI](https://docs.geopera.com/spectral-indices/ndwi_gao): Normalized Difference Water Index (Gao)
- [NGRDI](https://docs.geopera.com/spectral-indices/ngrdi): Normalized Green Red Difference Index
- [NIRv](https://docs.geopera.com/spectral-indices/nirv): Near-Infrared Reflectance of Vegetation
- [NIRvH2](https://docs.geopera.com/spectral-indices/nirvh2): Hyperspectral Near-Infrared Reflectance of Vegetation
- [NIRvP](https://docs.geopera.com/spectral-indices/nirvp): Near-Infrared Reflectance of Vegetation and Incoming PAR
- [NLI](https://docs.geopera.com/spectral-indices/nli): Nonlinear vegetation index
- [NMDI](https://docs.geopera.com/spectral-indices/nmdi): Normalized Multi-band Drought Index
- [Norm G](https://docs.geopera.com/spectral-indices/norm_g): Normalized Green
- [Norm NIR](https://docs.geopera.com/spectral-indices/norm_nir): Normalized Near-Infrared
- [Norm R](https://docs.geopera.com/spectral-indices/norm_r): Normalized Red
- [NormG](https://docs.geopera.com/spectral-indices/normg): Normalized Green
- [NormNIR](https://docs.geopera.com/spectral-indices/normnir): Normalized NIR
- [NormR](https://docs.geopera.com/spectral-indices/normr): Normalized Red
- [NPCI](https://docs.geopera.com/spectral-indices/npci): Normalized Difference 680/430 Normalized Pigment Chlorophyll Index
- [NPQI](https://docs.geopera.com/spectral-indices/npqi): Normalized Difference 415/435 Normalized Phaeophytinization Index
- [NRFIg](https://docs.geopera.com/spectral-indices/nrfig): Normalized Rapeseed Flowering Index Green
- [NRFIr](https://docs.geopera.com/spectral-indices/nrfir): Normalized Rapeseed Flowering Index Red
- [OCVI](https://docs.geopera.com/spectral-indices/ocvi): Optimized Chlorophyll Vegetation Index
- [OSAVI](https://docs.geopera.com/spectral-indices/osavi): Optimized Soil Adjusted Vegetation Index
- [OSAVI2](https://docs.geopera.com/spectral-indices/osavi2): Optimized Soil Adjusted Vegetation Index 2
- [PNDVI](https://docs.geopera.com/spectral-indices/pndvi): Pan NDVI
- [PRI](https://docs.geopera.com/spectral-indices/pri_standard): Photochemical Reflectance Index
- [PRI528/587](https://docs.geopera.com/spectral-indices/pri_528_587): Normalized Difference 528/587 Photochemical Reflectance Index
- [PRI531/570](https://docs.geopera.com/spectral-indices/pri_531_570): Normalized Difference 531/570 Photochemical Reflectance Index
- [PRI570/531](https://docs.geopera.com/spectral-indices/pri_570_531): Normalized Difference 570/531 Photochemical Reflectance Index
- [PSRI](https://docs.geopera.com/spectral-indices/psri): Plant Senescence Reflectance Index
- [PSRI](https://docs.geopera.com/spectral-indices/psri2): Plant Senescence Reflectance Index
- [PVI](https://docs.geopera.com/spectral-indices/pvi): Perpendicular Vegetation Index
- [RCC](https://docs.geopera.com/spectral-indices/rcc): Red Chromatic Coordinate
- [RDI](https://docs.geopera.com/spectral-indices/rdi): Simple Ratio MIR/NIR Ratio Drought Index
- [RDVI](https://docs.geopera.com/spectral-indices/rdvi): Renormalized Difference Vegetation Index
- [REDSI](https://docs.geopera.com/spectral-indices/redsi): Red-Edge Disease Stress Index
- [REIP1](https://docs.geopera.com/spectral-indices/reip1): Red-Edge Inflection Point 1
- [REIP2](https://docs.geopera.com/spectral-indices/reip2): Red-Edge Inflection Point 2
- [reNDVI](https://docs.geopera.com/spectral-indices/rendvi): Red Edge NDVI
- [REP](https://docs.geopera.com/spectral-indices/rep): Red-Edge Position Linear Interpolation
- [RGBVI](https://docs.geopera.com/spectral-indices/rgbvi): Red Green Blue Vegetation Index
- [RGRI](https://docs.geopera.com/spectral-indices/rgri): Red-Green Ratio Index
- [RI](https://docs.geopera.com/spectral-indices/ri): Normalized Difference Red/Green Redness Index
- [RSR](https://docs.geopera.com/spectral-indices/rsr): Reduced Simple Ratio
- [RVI](https://docs.geopera.com/spectral-indices/rvi): Simple Ratio 800/670 Ratio Vegetation Index
- [RVSI](https://docs.geopera.com/spectral-indices/rvsi): Red-Edge Stress Vegetation Index
- [S](https://docs.geopera.com/spectral-indices/saturation): Saturation
- [S2REP](https://docs.geopera.com/spectral-indices/s2rep): Sentinel-2 Red-Edge Position
- [SARVI](https://docs.geopera.com/spectral-indices/sarvi): Soil Adjusted and Atmospherically Resistant Vegetation Index
- [SAVI](https://docs.geopera.com/spectral-indices/savi): Soil Adjusted Vegetation Index
- [SAVI2](https://docs.geopera.com/spectral-indices/savi2): Soil-Adjusted Vegetation Index 2
- [SBI](https://docs.geopera.com/spectral-indices/sbi): Tasselled Cap - brightness
- [SeLI](https://docs.geopera.com/spectral-indices/seli): Sentinel-2 LAI Green Index
- [SEVI](https://docs.geopera.com/spectral-indices/sevi): Shadow-Eliminated Vegetation Index
- [SI](https://docs.geopera.com/spectral-indices/si): Shadow Index
- [SIPI](https://docs.geopera.com/spectral-indices/sipi): Structure Insensitive Pigment Index
- [SIPI](https://docs.geopera.com/spectral-indices/sipi2): Structure Insensitive Pigment Index
- [SLAVI](https://docs.geopera.com/spectral-indices/slavi): Specific Leaf Area Vegetation Index
- [sNIRvLSWI](https://docs.geopera.com/spectral-indices/snirvlswi): SWIR-enhanced Near-Infrared Reflectance of Vegetation for LSWI
- [sNIRvNDPI](https://docs.geopera.com/spectral-indices/snirvndpi): SWIR-enhanced Near-Infrared Reflectance of Vegetation for NDPI
- [sNIRvNDVILSWIP](https://docs.geopera.com/spectral-indices/snirvndvilswip): SWIR-enhanced Near-Infrared Reflectance of Vegetation for the NDVI-LSWI Product
- [sNIRvNDVILSWIS](https://docs.geopera.com/spectral-indices/snirvndvilswis): SWIR-enhanced Near-Infrared Reflectance of Vegetation for the NDVI-LSWI Sum
- [sNIRvSWIR](https://docs.geopera.com/spectral-indices/snirvswir): SWIR-enhanced Near-Infrared Reflectance of Vegetation
- [SR](https://docs.geopera.com/spectral-indices/sr): Simple Ratio
- [SR2](https://docs.geopera.com/spectral-indices/sr2): Simple Ratio (800 and 550 nm)
- [SR3](https://docs.geopera.com/spectral-indices/sr3): Simple Ratio (860, 550 and 708 nm)
- [SR555](https://docs.geopera.com/spectral-indices/sr555): Simple Ratio (555 and 750 nm)
- [SR705](https://docs.geopera.com/spectral-indices/sr705): Simple Ratio (705 and 750 nm)
- [TCARI](https://docs.geopera.com/spectral-indices/tcari): Transformed Chlorophyll Absorption Ratio
- [TCARI/OSAVI](https://docs.geopera.com/spectral-indices/tcari_osavi): TCARI/OSAVI
- [TCARI/OSAVI705](https://docs.geopera.com/spectral-indices/tcari_osavi705): TCARI/OSAVI 705,750
- [TCARIOSAVI](https://docs.geopera.com/spectral-indices/tcariosavi): TCARI/OSAVI Ratio
- [TCARIOSAVI705](https://docs.geopera.com/spectral-indices/tcariosavi705): TCARI/OSAVI Ratio (705 and 750 nm)
- [TCI](https://docs.geopera.com/spectral-indices/tci): Triangular Chlorophyll Index
- [TDVI](https://docs.geopera.com/spectral-indices/tdvi): Transformed Difference Vegetation Index
- [TGI](https://docs.geopera.com/spectral-indices/tgi): Triangular Greenness Index
- [TriVI](https://docs.geopera.com/spectral-indices/trivi): Triangular Vegetation Index
- [TRRVI](https://docs.geopera.com/spectral-indices/trrvi): Transformed Red Range Vegetation Index
- [TSAVI](https://docs.geopera.com/spectral-indices/tsavi): Transformed Soil Adjusted Vegetation Index
- [TTVI](https://docs.geopera.com/spectral-indices/ttvi): Transformed Triangular Vegetation Index
- [TVI](https://docs.geopera.com/spectral-indices/tvi): Transformed Vegetation Index
- [TVI](https://docs.geopera.com/spectral-indices/tvi_broge): Triangular Vegetation Index
- [TVI](https://docs.geopera.com/spectral-indices/tvi_triangular): Triangular Vegetation Index
- [VARI](https://docs.geopera.com/spectral-indices/vari): Visible Atmospherically Resistant Index
- [VARI](https://docs.geopera.com/spectral-indices/vari_visible): Visible Atmospherically Resistant Index
- [VARI700](https://docs.geopera.com/spectral-indices/vari700): Visible Atmospherically Resistant Index (700 nm)
- [VARIrededge](https://docs.geopera.com/spectral-indices/vari_rededge): Visible Atmospherically Resistant Index Red Edge
- [VI700](https://docs.geopera.com/spectral-indices/vi700): Vegetation Index (700 nm)
- [VIG](https://docs.geopera.com/spectral-indices/vig): Vegetation Index Green
- [VOG1](https://docs.geopera.com/spectral-indices/vog1): Vogelmann Red Edge Index 1
- [VOG2](https://docs.geopera.com/spectral-indices/vog2): Vogelmann Red Edge Index 2
- [VOG3](https://docs.geopera.com/spectral-indices/vog3): Vogelmann Red Edge Index 3
- [WDRVI](https://docs.geopera.com/spectral-indices/wdrvi): Wide Dynamic Range Vegetation Index
- [WDVI](https://docs.geopera.com/spectral-indices/wdvi): Weighted Difference Vegetation Index

## Water Indices (20)
- [LSWI](https://docs.geopera.com/spectral-indices/lswi): Land Surface Water Index
- [LWVI-1](https://docs.geopera.com/spectral-indices/lwvi1): Leaf Water Vegetation Index 1
- [LWVI-2](https://docs.geopera.com/spectral-indices/lwvi2): Leaf Water Vegetation Index 2
- [MNDWI](https://docs.geopera.com/spectral-indices/mndwi): Modified Normalized Difference Water Index
- [NDMI](https://docs.geopera.com/spectral-indices/ndmi2): Normalized Difference Moisture Index
- [NDWI](https://docs.geopera.com/spectral-indices/ndwi): Normalized Difference Water Index
- [NDWI](https://docs.geopera.com/spectral-indices/ndwi_mcfeeters): Normalized Difference Water Index (McFeeters)
- [NWI](https://docs.geopera.com/spectral-indices/nwi): New Water Index
- [OSI](https://docs.geopera.com/spectral-indices/osi): Oil Spill Index
- [PI](https://docs.geopera.com/spectral-indices/pi): Plastic Index
- [PWI](https://docs.geopera.com/spectral-indices/pwi): Plant Water Index
- [RNDVI](https://docs.geopera.com/spectral-indices/rndvi): Reversed Normalized Difference Vegetation Index
- [S2WI](https://docs.geopera.com/spectral-indices/s2wi): Sentinel-2 Water Index
- [SWM](https://docs.geopera.com/spectral-indices/swm): Sentinel Water Mask
- [TWI](https://docs.geopera.com/spectral-indices/twi): Triangle Water Index
- [WET](https://docs.geopera.com/spectral-indices/wet_tc): Tasselled Cap - wetness
- [WI1](https://docs.geopera.com/spectral-indices/wi1): Water Index 1
- [WI2](https://docs.geopera.com/spectral-indices/wi2): Water Index 2
- [WI2015](https://docs.geopera.com/spectral-indices/wi2015): Water Index 2015
- [WRI](https://docs.geopera.com/spectral-indices/wri): Water Ratio Index

## Geology Indices (19)
- [AKP](https://docs.geopera.com/spectral-indices/akp): Alunite/Kaolinite/Pyrophylite Index
- [ALT](https://docs.geopera.com/spectral-indices/alteration): Alteration Index
- [AMP](https://docs.geopera.com/spectral-indices/amphibole): Amphibole Index
- [Clay](https://docs.geopera.com/spectral-indices/clay): Clay Index
- [DOL](https://docs.geopera.com/spectral-indices/dolomite): Dolomite Index
- [ECA](https://docs.geopera.com/spectral-indices/epidote_chlorite_amphibole): Epidote/Chlorite/Amphibole Index
- [Fe3+](https://docs.geopera.com/spectral-indices/fe3_iron): Ferric Iron Index
- [FEI](https://docs.geopera.com/spectral-indices/ferrous_iron): Ferrous Iron Index
- [FOX](https://docs.geopera.com/spectral-indices/ferric_oxides): Ferric Oxides Index
- [FSI](https://docs.geopera.com/spectral-indices/ferrous_silicates): Ferrous Silicates Index
- [GOS](https://docs.geopera.com/spectral-indices/gossan): Gossan Index
- [HRI](https://docs.geopera.com/spectral-indices/host_rock): Host Rock Index
- [Kaolinitic](https://docs.geopera.com/spectral-indices/kaolinitic): Kaolinitic Index
- [Laterite](https://docs.geopera.com/spectral-indices/laterite): Laterite Index
- [Muscovite](https://docs.geopera.com/spectral-indices/muscovite): Muscovite Index
- [NDSI](https://docs.geopera.com/spectral-indices/ndsi): Normalized Difference Salinity Index
- [Phengitic](https://docs.geopera.com/spectral-indices/phengitic): Phengitic
- [Quartz Index](https://docs.geopera.com/spectral-indices/quartz_index): Quartz Rich Rocks
- [Sericite Index](https://docs.geopera.com/spectral-indices/sericite_index): Sericite/Muscovite/Illite/Smecite

## Urban Indices (9)
- [H](https://docs.geopera.com/spectral-indices/hue): Hue Index
- [I](https://docs.geopera.com/spectral-indices/intensity): Intensity Index
- [NDBI](https://docs.geopera.com/spectral-indices/ndbi): Normalized Difference Built-up Index
- [NHFD](https://docs.geopera.com/spectral-indices/nhfd): Non-Homogeneous Feature Difference
- [PISI](https://docs.geopera.com/spectral-indices/pisi): Perpendicular Impervious Surface Index
- [UI](https://docs.geopera.com/spectral-indices/ui): Urban Index
- [VgNIRBI](https://docs.geopera.com/spectral-indices/vgnirbi): Visible Green-Based Built-Up Index
- [VIBI](https://docs.geopera.com/spectral-indices/vibi): Vegetation Index Built-up Index
- [VrNIRBI](https://docs.geopera.com/spectral-indices/vrnirbi): Visible Red-Based Built-Up Index

## Soil Indices (8)
- [BI](https://docs.geopera.com/spectral-indices/bi): Brightness Index
- [BI2](https://docs.geopera.com/spectral-indices/bi2): Second Brightness Index
- [CI](https://docs.geopera.com/spectral-indices/ci_soil): Coloration Index
- [NSDS](https://docs.geopera.com/spectral-indices/nsds): Normalized Shortwave Infrared Difference Soil-Moisture
- [NSDSI1](https://docs.geopera.com/spectral-indices/nsdsi1): Normalized Shortwave-Infrared Difference Bare Soil Moisture Index 1
- [NSDSI2](https://docs.geopera.com/spectral-indices/nsdsi2): Normalized Shortwave-Infrared Difference Bare Soil Moisture Index 2
- [NSDSI3](https://docs.geopera.com/spectral-indices/nsdsi3): Normalized Shortwave-Infrared Difference Bare Soil Moisture Index 3
- [RI4XS](https://docs.geopera.com/spectral-indices/ri4xs): SPOT HRV XS-based Redness Index 4

## Fire Indices (3)
- [NSTv1](https://docs.geopera.com/spectral-indices/nstv1): NIR-SWIR-Temperature Version 1
- [NSTv2](https://docs.geopera.com/spectral-indices/nstv2): NIR-SWIR-Temperature Version 2
- [SAVIT](https://docs.geopera.com/spectral-indices/savit): Soil-Adjusted Vegetation Index Thermal

## Burn Indices (2)
- [BAI](https://docs.geopera.com/spectral-indices/bai): Burn Area Index
- [VI6T](https://docs.geopera.com/spectral-indices/vi6t): VI6T Index

## Environmental Indices (2)
- [S3](https://docs.geopera.com/spectral-indices/s3): S3 Snow Index
- [SWI](https://docs.geopera.com/spectral-indices/swi): Snow Water Index

## Radar Indices (9)
- [QpRVI](https://docs.geopera.com/spectral-indices/qprvi): Quad-Polarized Radar Vegetation Index
- [RFDI](https://docs.geopera.com/spectral-indices/rfdi): Radar Forest Degradation Index
- [VDDPI](https://docs.geopera.com/spectral-indices/vddpi): Vertical Dual De-Polarization Index
- [VHVVD](https://docs.geopera.com/spectral-indices/vhvvd): VH-VV Difference
- [VHVVP](https://docs.geopera.com/spectral-indices/vhvvp): VH-VV Product
- [VHVVR](https://docs.geopera.com/spectral-indices/vhvvr): VH-VV Ratio
- [VVVHD](https://docs.geopera.com/spectral-indices/vvvhd): VV-VH Difference
- [VVVHR](https://docs.geopera.com/spectral-indices/vvvhr): VV-VH Ratio
- [VVVHS](https://docs.geopera.com/spectral-indices/vvvhs): VV-VH Sum

## Kernel Indices (5)
- [kEVI](https://docs.geopera.com/spectral-indices/kevi): Kernel Enhanced Vegetation Index
- [kIPVI](https://docs.geopera.com/spectral-indices/kipvi): Kernel Infrared Percentage Vegetation Index
- [kNDVI](https://docs.geopera.com/spectral-indices/kndvi): Kernel Normalized Difference Vegetation Index
- [kRVI](https://docs.geopera.com/spectral-indices/krvi): Kernel Ratio Vegetation Index
- [kVARI](https://docs.geopera.com/spectral-indices/kvari): Kernel Visible Atmospherically Resistant Index

## Sensors
- [BJ3A](https://docs.geopera.com/spectral-indices/sensors/bj3a): 21AT satellite sensor with compatible spectral indices.
- [BJ3N](https://docs.geopera.com/spectral-indices/sensors/bj3n): 21AT satellite sensor with compatible spectral indices.
- [Dragonette-1](https://docs.geopera.com/spectral-indices/sensors/dragonette-001): Wyvern satellite sensor with compatible spectral indices.
- [Dragonette-2/3](https://docs.geopera.com/spectral-indices/sensors/dragonette-002): Wyvern satellite sensor with compatible spectral indices.
- [Gaofen-1](https://docs.geopera.com/spectral-indices/sensors/gaofen-1): CNSA satellite sensor with compatible spectral indices.
- [Gaofen-2](https://docs.geopera.com/spectral-indices/sensors/gaofen-2): CNSA satellite sensor with compatible spectral indices.
- [GeoEye-1](https://docs.geopera.com/spectral-indices/sensors/geoeye-1): MAXAR satellite sensor with compatible spectral indices.
- [Göktürk-1](https://docs.geopera.com/spectral-indices/sensors/gokturk): IMPROSAT satellite sensor with compatible spectral indices.
- [Jilin-1](https://docs.geopera.com/spectral-indices/sensors/jl1-50cm): CG Satellite satellite sensor with compatible spectral indices.
- [Jilin-1 GF03D](https://docs.geopera.com/spectral-indices/sensors/jl1-75cm): CG Satellite satellite sensor with compatible spectral indices.
- [KOMPSAT-3](https://docs.geopera.com/spectral-indices/sensors/kompsat-3): SIIS satellite sensor with compatible spectral indices.
- [KOMPSAT-3A](https://docs.geopera.com/spectral-indices/sensors/kompsat-3a): SIIS satellite sensor with compatible spectral indices.
- [Landsat 8/9](https://docs.geopera.com/spectral-indices/sensors/landsat-8-9): USGS/NASA satellite sensor with compatible spectral indices.
- [NAIP](https://docs.geopera.com/spectral-indices/sensors/naip): USDA satellite sensor with compatible spectral indices.
- [Sentinel-2](https://docs.geopera.com/spectral-indices/sensors/sentinel-2): ESA satellite sensor with compatible spectral indices.
- [SuperView Neo](https://docs.geopera.com/spectral-indices/sensors/superview-30cm): SPACEWILL satellite sensor with compatible spectral indices.
- [SuperView-1](https://docs.geopera.com/spectral-indices/sensors/superview-1): SPACEWILL satellite sensor with compatible spectral indices.
- [SuperView-2](https://docs.geopera.com/spectral-indices/sensors/superview-2): SPACEWILL satellite sensor with compatible spectral indices.
- [TripleSat](https://docs.geopera.com/spectral-indices/sensors/triplesat): 21AT satellite sensor with compatible spectral indices.
- [WorldView 1](https://docs.geopera.com/spectral-indices/sensors/worldview-1): MAXAR satellite sensor with compatible spectral indices.
- [WorldView 2](https://docs.geopera.com/spectral-indices/sensors/worldview-2): MAXAR satellite sensor with compatible spectral indices.
- [WorldView 3](https://docs.geopera.com/spectral-indices/sensors/worldview-3): MAXAR satellite sensor with compatible spectral indices.
- [WorldView 4](https://docs.geopera.com/spectral-indices/sensors/worldview-4): MAXAR satellite sensor with compatible spectral indices.
- [WorldView Legion](https://docs.geopera.com/spectral-indices/sensors/worldview-legion): MAXAR satellite sensor with compatible spectral indices.