l4h_chirps              Extract CHIRPS v3 precipitation data from
                        Google Earth Engine
l4h_co_column           Extracts carbon monoxide (CO) concentration
                        from Sentinel-5P TROPOMI
l4h_dengue              Extract dengue case data from OpenDengue
l4h_era5land            Extract ERA5-Land climate variables from Google
                        Earth Engine
l4h_forest_loss         Extracts forest cover loss within a defined
                        polygon
l4h_human_built         Extracts built‑up surface area from GHSL
                        Built‑Up Surface dataset
l4h_install             Install Python dependencies for land4health
                        package
l4h_list_metrics        List available metrics in _land4health_
l4h_malaria             Extract malaria metrics from the Malaria Atlas
                        Project GeoServer
l4h_night_lights        Extracts global night‑time lights using
                        harmonized DMSP‑OLS and VIIRS data
l4h_packages            List all _land4health_ packages
l4h_pm2_5               Extract Global PM2.5 (monthly) from Google
                        Earth Engine
l4h_rural_access_index
                        Compute Rural Access Index (RAI)
l4h_sebal_modis         Download and process evapotranspiration data
l4h_surface_temp        Extracts Land Surface Temperature (LST) from
                        MODIS MOD11A1
l4h_terra_climate       Extract TerraClimate variables (monthly) from
                        Google Earth Engine
l4h_travel_time         Travel Time to Healthcare or Cities (Oxford
                        Dataset)
l4h_urban_heat_index    Calculates the Surface Urban Heat Island (SUHI)
                        index using MODIS LST and GHS-SMOD
l4h_urban_rural_area    Extracts surface areas by urban and rural
                        categories from GHS-SMOD
l4h_use_python          Configure Python environment for land4health
l4h_vegetation          Extract vegetation indices from MODIS MOD13A1
