Remote Sensing Metrics for Spatial Health Analysis
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Documentation for package ‘land4health’ version 0.3.0
Help Pages
| 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 |