Search results for "forest" (94 items found)
Model for landscape connectivity and ecosystem services assessment.
2017-02-15T12:27:55.655061+00:00
LiDAR Forestry Height generates a DEM with the forest height, calculated from a classified LiDAR point cloud
2019-09-10T07:32:18.252170+00:00
Extract Google Earth Engine datasets (Sentinel-2, Landsat, SRTM, MODIS NDVI, Global Forest Change) directly into QGIS by vector layer extent.
2026-06-02T20:07:04.967812+00:00
This is a QGIS plugin that uses Google Earth Engine sentinel 2 image collection in projection EPSG:4326. the images classified …
2022-08-08T19:57:45.797099+00:00
tools to handle raster and vector data to split it into small pieces equaled in size for machine learning datasets
2022-01-19T02:15:29.531264+00:00
Machine Learning for Image Classification in QGIS
2025-04-23T08:56:01.048268+00:00
All-in-one GIS toolkit: thematic maps, lot labels, MBTiles (multi-layer + canvas export), KML/KMZ, basemaps, font conversion, CRS tools (batch set), …
2026-07-17T02:57:20.278524+00:00
An advanced Machine Learning pipeline for Satellite-Derived Bathymetry (SDB). Features ICESat-2 integration, In-Situ Data filtering, and Spatial Residual Stacking.
2026-07-16T11:33:37.071600+00:00
Allows user to generate a landuse with cross-referring data from different origins.
2019-09-16T06:32:34.486080+00:00
This plugin automate the determination of Indonesia's Environmental Support and Capacity.
2024-06-14T09:48:46.511628+00:00
Automatic tracks based on least cost path algorithm
2018-08-08T19:43:35.476945+00:00
Raster vectorization, spectral indices (NDVI/EVI/SAVI/NDWI/MNDWI/NDBI/NBR/BSI/NDSI/NDRE), terrain analysis, zonal stats, K-Means and Random Forest classification.
2026-06-03T21:33:16.171065+00:00
Landsat C2 L1/L2, Sentinel-2, CBERS-04A, MODIS 09/11/12/13 scale factor per product independently, PCA, spectral indices, supervised + unsupervised classification, band …
2026-06-07T15:30:08.741199+00:00