> For the complete documentation index, see [llms.txt](https://docs.geopard.tech/geopard-tutorials/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.geopard.tech/geopard-tutorials/api-docs/geo-endpoints-for-spatial-data-access/wms-get-raster-pictures-of-spatial-data-layers/17.-satellite-image-cropped-by-field-boundary-and-custom-color-schema.md). # 17. Satellite Image: cropped by Field boundary and custom color schema Satellite Image, precisely cropped based on defined Field boundaries, is available for various views such as `RGB`, `NIR`, `EVI2`, `LAI`, `NDVI`, `GNDVI`, `IPVI`, `GCI`, `SAVI`, `OSAVI`, `NDWI`, `WDRVI`, `NDMI`, `MCARI`, etc including related contrast representations. The output Satellite Images are not pixelated and provide a clear visualization of the data. In addition to this precise cropping, GeoPard allows for the customization of color schemes. This feature can be applied to both the **cropped** and **contrast** representations of vegetation indexes, offering additional versatility in data visualization. {% hint style="info" %} For instance, a new color scheme can be applied directly via extending `env` variable with `c1:%231b7837%3Bc2:%23ffffbf%3Bc3:%23af8dc3`. In this value, `%23` represents the `#` symbol, and `%3b` stands for the `;` symbol. {% endhint %} Several examples are provided to illustrate the customization of color schemes for both **cropped** and **contrast** NDVI views, showcasing the flexibility of our color adjustment features. {% hint style="info" %} The `urls` provided below are intended solely for explanatory purposes. \ \ For accurate and operational use, `urls` should be sourced from the `geoMaps` object. They can be modified using specific attributes, offering further flexibility in managing geospatial data. {% endhint %} ### NDVI: contrast VS contrast with corrected color schema ![](/files/ABxPgpdM93y4Xm4jXkwt) **VS** ![](/files/QDXlSTZQaxiExUSzhVI5) The request format is [https://api.geopard.tech/geo/map/reflect?TRANSPARENT=true\&SRS=EPSG:900913\&HEIGHT=1024\&BBOX=\\&TIME=2022-07-20T10:15:26Z\&CQL\_FILTER=uuid=%27\%27\&VIEWPARAMS=uuid:\\&env=v1:0.740%3Bv2:0.835%3Bv3:0.904%3Bc1:%23af8dc3%3Bc2:%23ffffbf%3Bc3:%231b7837\&LAYERS=agri:planetscope\_ndvi\_and\_field\&geopardApiKey=\](https://api.geopard.tech/geo/map/reflect?TRANSPARENT=true\&SRS=EPSG:900913\&HEIGHT=1024\&BBOX=\&TIME=2022-07-20T10:15:26Z\&CQL_FILTER=uuid=%27%27\&VIEWPARAMS=uuid:\&env=v1:0.740%3Bv2:0.835%3Bv3:0.904%3Bc1:%23af8dc3%3Bc2:%23ffffbf%3Bc3:%231b7837\&LAYERS=agri:planetscope_ndvi_and_field\&geopardApiKey=). ### NDVI: original VS original with corrected color schema ![](/files/QUiTPlHO2rsfWpzUXHgq) **VS** ![](/files/5Qh9ybjoQMPmJapNcJoJ) The request format is [https://api.geopard.tech/geo/map/reflect?TRANSPARENT=true\&SRS=EPSG:900913\&HEIGHT=1024\&BBOX=\\&TIME=2022-07-20T10:15:26Z\&CQL\_FILTER=uuid=%27\%27\&VIEWPARAMS=uuid:\\&LAYERS=agri:planetscope\_ndvi\_and\_field\&env=c1:%23008837%3Bc2:%23a6dba0%3Bc3:%23f7f7f7%3Bc4:%23c2a5cf%3Bc5:%237b3294\&geopardApiKey=\](https://api.geopard.tech/geo/map/reflect?TRANSPARENT=true\&SRS=EPSG:900913\&HEIGHT=1024\&BBOX=\&TIME=2022-07-20T10:15:26Z\&CQL_FILTER=uuid=%27%27\&VIEWPARAMS=uuid:\&LAYERS=agri:planetscope_ndvi_and_field\&env=c1:%23008837%3Bc2:%23a6dba0%3Bc3:%23f7f7f7%3Bc4:%23c2a5cf%3Bc5:%237b3294\&geopardApiKey=). ### Explanation of the URL parameters Where the input attributes are: 1. `VIEWPARAMS=uuid:` contains the uuid of the "Field"; 2. `CQL_FILTER=uuid=%27%27` contains the uuid of the Satellite Image delivered by Planet, this parameter is not required for Sentinel2 and Landsat providers; 3. `TIME=2022-07-20T10:15:26Z` has the data of the satellite image in the format `YYYY-MM-DDThh:mm:ssZ` (url encoded) and located in the "FieldSatelliteImagery" entity with `acquisitionDate` attribute; 4. `BBOX=` contains the bounding box (url encoded) of the "Field" in `EPSG:3857` or `EPSG:900913` projection; 5. `WIDTH=1024` reflects the output image size in pixels (the precise number is important only if it is used as a thumbnail); 6. `geopardApiKey=` is coupled to the authorization option via API Key; 7. `LAYERS=agri:planetscope_ndvi_and_field` reflects the style for the Satellite Image provided by Planet, this parameter depends on the provider like Sentinel2 and Landsat.
--- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.geopard.tech/geopard-tutorials/api-docs/geo-endpoints-for-spatial-data-access/wms-get-raster-pictures-of-spatial-data-layers/17.-satellite-image-cropped-by-field-boundary-and-custom-color-schema.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.