Skip to main content
Glama
land_cover.md2.23 kB
### Land Cover (WorldCover & NDVI via `pystac-client`) The **Land Cover** tool in GIS-MCP allows you to access global land cover maps and vegetation indices through the [Microsoft Planetary Computer](https://planetarycomputer.microsoft.com/). It currently supports downloading ESA **WorldCover** layers and computing **NDVI** from Sentinel-2 imagery. --- #### Installation To enable land products, install GIS-MCP with the **land-cover** extra: ```bash pip install gis-mcp[land-cover] ``` #### Parameters ##### `download_worldcover` - **year** – Year of the WorldCover dataset (e.g., `2020`, `2021`, `2023`). - **collection** *(optional)* – STAC collection ID. *(default: `"esa-worldcover"`)* - **asset_key** – Asset key to download. *(default: `"map"`)* - **bbox** *(optional)* – Bounding box string `"minx,miny,maxx,maxy"` in WGS84. - **geometry_geojson** *(optional)* – GeoJSON geometry (string) for clipping. - **out_crs** *(optional)* – Output CRS (e.g., `"EPSG:4326"`). *(default: `"EPSG:4326"`)* - **filename** *(optional)* – Custom filename for the GeoTIFF. *(default: auto-generated)* - **path** *(optional)* – Output directory. *(default: `./data/land_products` inside the package)* --- ##### `compute_s2_ndvi` - **datetime** – Date or date range in ISO 8601. Examples: - `"2024-07-05"` → single day - `"2024-07-01/2024-07-15"` → date interval *(default: `"2024-07-01/2024-07-15"`)* - **cloud_cover_lt** – Maximum cloud cover percentage. Use `None` to disable filtering. *(default: `20`)* - **bbox** *(optional)* – Bounding box string `"minx,miny,maxx,maxy"` in WGS84. - **geometry_geojson** *(optional)* – GeoJSON geometry (string) for clipping. - **out_crs** *(optional)* – Output CRS (e.g., `"EPSG:4326"`). *(default: `"EPSG:4326"`)* - **filename** *(optional)* – Custom filename for the output GeoTIFF. *(default: auto-generated)* - **path** *(optional)* – Output directory. *(default: `./data/land_products` inside the package)* #### Example Usage ```bash Using gis-mcp compute the NDVI from Sentinel-2 imagery over Iran during July 2024 with less than 20% cloud cover. ```

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mahdin75/gis-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server