A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
-
Updated
Jul 2, 2024 - Python
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
An open source library and framework for deep learning on satellite and aerial imagery.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A collection of 300+ Python examples for using Google Earth Engine in QGIS
Miami InSAR time-series software in Python
Search and download Copernicus Sentinel satellite images
Rotational region detection based on Faster-RCNN.
Open Data Cube analyses continental scale Earth Observation data through time
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Remotes Sensing Semantic Segmentation
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Python module for hyperspectral image processing
A collection of tools to work with Google Earth Engine Python API
Community Datasets added by users and made available for use at large
This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)
framework for large-scale SAR satellite data processing
Data Preparation for Satellite Machine Learning
LiCSBAS: InSAR time series analysis package using LiCSAR products
official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection
Add a description, image, and links to the remote-sensing topic page so that developers can more easily learn about it.
To associate your repository with the remote-sensing topic, visit your repo's landing page and select "manage topics."