169 skills found · Page 1 of 6
AbnormalDistributions / Landsat8 Scene CalculatorCreates NDVI, SAVI, RBG, NIR, short wave infrared, agriculture, geology, and bathymetric GeoTIFF files using Landsat8 imagery.
robintw / RPiNDVIRaspberry PI NDVI Code
IPL-UV / KNDVIKernel vegetation indices and the kernel NDVI
geotrellis / Geotrellis Landsat TutorialA tutorial project that processes a LandSat image into an NDVI on a web map.
Okes2024 / Detecting Deforestation From Remote Sensing Data GEE This project detects deforestation by analyzing Landsat 8 imagery and NDVI changes in Google Earth Engine, identifying significant vegetation loss between 2015 and 2024 to support environmental monitoring and data-driven decision-making.
fsn1995 / Drought AnalysisDrought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)
Dogiye12 / Illegal Logging Detection Via Satellite And MLThis project demonstrates how synthetic satellite imagery data can be used to train a machine learning model for detecting illegal logging activities. Using simulated spectral bands (Red, NIR, SWIR) and derived vegetation indices (NDVI) along with texture features, the project classifies areas as either logged or non-logged.
jiezhou87 / HANTS GEEA scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform
Agri-Hub / Deep Learning For Cloud Gap Filling On Normalized Difference Vegetation IndexA CNN-RNN based model that identifies correlations between optical and SAR data and exports dense Normalized Difference Vegetation Index (NDVI) time-series of a static 6-day time resolution and can be used for Events Detection tasks
Otutu11 / Mangrove Health Monitoring Using NDVI And MLThis project focuses on assessing the health of mangrove ecosystems using satellite-derived vegetation indices, particularly the Normalized Difference Vegetation Index (NDVI), combined with Machine Learning (ML) models.
dgketchum / Satellite ImagePython package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.
Digdgeo / Ndvi2GifLibrary to create Multi Seasonal remote sensing indexes composites
antoniomazza88 / SAR2NDVI CNNA CNN is trained to perform the estimation of the NDVI, using coupled Sentinel-1 and Sentinel-2 time-series.
Dogiye12 / Erosion Risk Mapping Using SVM Decision TreesBased on slope, rainfall, land use, and NDVI data.
PiddePannkauga / NdviMachineNo description available
abhiwagh95 / Crop Yield Prediction Using Weather Data And NDVI Time SeriesThe proposed system will be able to predict the crop yield production which will be useful to farmers for harvesting and storage. The system will use the weather forecasting which includes the parameters like temperature, rainfall, humidity, dew point and the normalized difference vegetation index time series from Sentinel-2 satellite for selected region. By using both the results obtained,accurate crop yield prediction can be calculated which will help farmers in planning efficiently, minimize costs and maximize yields—and profits—as a result.
Dogiye12 / Drought Monitoring With NDVI MLAnalyze NDVI trends and use LSTM to predict drought onset in arid regions.
iboates / NdviA python function that uses GDAL and numpy to perform an NDVI calculation given a NIR band and a colour band
publiclab / Leaflet MultispectralMultispectral color manipulation and processing (NDVI etc) for Leaflet image overlays with pure JavaScript in Image Sequencer
S-Stergiadis / MODIS LST Downscaling With RFRModis land surface temperature image downscaling using NDVI as a predictor with random forest regression