EE CHIRPS RainMapper is a Google Earth Engine-powered WebGIS platform designed to streamline climatology analysis and precipitation monitoring. Utilizing the ~5 km resolution CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data) dataset, this app delivers highly accurate historical rainfall records from 1981 to the present, particularly optimized for tropical regions.
Key Features:
AOI-Based Spatial Analysis: Draw custom polygons or rectangles to define your specific Area of Interest.
Smart Visualization (Dynamic Stretch): The rainfall color palette (Red to Dark Blue) automatically stretches to 100% of the actual minimum and maximum precipitation values within your defined area.
Extensive Charts & Statistics: Features 1-Year Average (monthly trend) and Multi-Year Average (annual trend) analysis modes, outputting interactive Line Charts and precise spatial statistics (Mean, Max, Min).
GeoTIFF Export: Seamlessly download rainfall accumulation data as GeoTIFF files for further desktop GIS processing (ArcGIS/QGIS).
Timelapse Animation (GIF): A built-in GIF generator that creates dynamic, burn-in time-labeled animations of precipitation shifts over months or decades.
Gayo Landscape Explorer is an interactive Google Earth Engine app for the Gayo Highlands, covering Aceh Tengah and Bener Meriah, Aceh. It brings together forest change (Hansen GFC v1.12), aboveground biomass (ESA CCI Biomass v6.0), land cover (ESA CCI / C3S), biodiversity habitat condition (CSIRO BHI v4), ecosystem functional groups (IUCN Global Ecosystem Typology), rainfall (CHIRPS v2.0), soil properties (SoilGrids 2.0), population density (GPWv4.11) and SRTM topography in one map viewer. You can animate time series, compare years with a swipe slider, compute area statistics and run OLS regressions (time trends or pixel scatter) for the landscape. The data were compiled to support research on EUDR traceability and deforestation free coffee in the Kopi Konservasi Gayo programme (TFCA, Redelong Institute, Rumah Berkelanjutan). Created by Defani Arman Alfitriansyah, 2026.
CaiMapper: Dynamic Water Extraction Web App
CaiMapper is a web-based geospatial application designed to automatically detect and extract surface water bodies. Utilizing Surface Reflectance imagery from Landsat 8 and Sentinel-2, this app integrates three primary spectral indices: NDWI, MNDWI, and AWEI. Users can interactively draw an Area of Interest (AOI), set time and cloud cover parameters, and dynamically adjust threshold values for highly precise extraction. Equipped with automated area estimation and a GeoTIFF export feature, CaiMapper is an excellent tool for environmental monitoring and water resource analysis.
Patratani RF Classifier : LULC Mapper Tools Based RF Algorithm
WebGIS interaktif untuk pemetaan tutupan lahan on-the-fly menggunakan citra Sentinel-2A SR dan algoritma Random Forest (RF). Aplikasi ini dirancang untuk memudahkan proses akuisisi citra, ekstraksi puluhan indeks spektral (kompatibel dengan standar MapBiomas), digitasi training sample, hingga uji akurasi (Confusion Matrix) dalam satu web
Studi Kasus: Desa Patratani.
S2 Spectral Calc is an analytical WebGIS dashboard developed within the Google Earth Engine (GEE) ecosystem. This platform focuses on performing on-the-fly extraction, mathematical modification, and spectral index analysis of Sentinel-2 satellite imagery.
Designed with a clean, modern, minimalist UI/UX, the application bridges the complexity of remote sensing coding into a single, intuitive dashboard. Users can quickly deploy Ready Use Indices or freely formulate their own custom indices using the Interactive Raster Calculator. Supported by an intelligent Auto-Stretch visualization system and instant GeoTIFF export capabilities, S2 Spectral Calc serves as a highly efficient and reliable tool for geospatial analysts and foresters to monitor environmental dynamics.
WebGIS Indeks Spektral Desa Patratani menyajikan platform pemantauan kondisi lingkungan secara interaktif menggunakan data citra satelit Sentinel-2. Sistem ini memvisualisasikan berbagai analisis spasial seperti NDVI (kerapatan vegetasi), NDWI (badan air), dan NDMI (kelembapan tajuk). Dilengkapi dengan fitur penyesuaian rentang waktu, persentase tutupan awan, hingga pengunduhan data geospasial (GeoTIFF), WebGIS ini dirancang untuk mempermudah analisis lanjutan terkait dinamika ekosistem secara cepat dan akurat.