Stars
Image segmentations of trees outside forest
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised v…
This repository holds a set of notebooks that allows to follow an optimised workflow for creating Sample Based Area Estimates resulting from an ensemble classification of various time-series and re…
Reproducing the "End-to-End Google Earth Engine" course using Jupyter Notebooks and geemap.
HYDrologic Remote sensing Analysis for Floods Python package
Running Segment Anything Geospatial over Earth Engine exports with Dataflow at scale.
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
Regional LULC maps of three target areas located in the main ecoregions of Ecuador at a6 resolution of 10 m using Google Earth Engine (GEE) cloud-based computing.
Earth Engine and Geemap: Geospatial Data Science with Python
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
This is a record of all the Manuscript Monday links!
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Tutorials and content created by Earth Engine users, for Earth Engine users
Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.
A repository for MapBiomas data accessing in Google Earth Engine
Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine
A series of python notebooks describing a simple workflow to develop a deep learning model with very high resolution images.
Creating annual land cover in KAZA, southern Africa
Functions and Python scripts to ingest ERA5 data into Google Earth Engine
A curated list of Awesome Spectral Indices (ASI) resources