Machine learning tool to detect landslides from optical satellite imagery
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Updated
Dec 8, 2022 - Python
Machine learning tool to detect landslides from optical satellite imagery
An open-source semi-automated processing chain for urban OBIA classification.
Zero-shot segmentation of very large remote sensing images with SAM2: multi-pass coverage maximization and parameter-free tile-boundary merging (Remote SAMsing)
Object-Based Image Analysis Tools for Radiative Transfer Modeling
This repository contains the computer code of a semi-automated framework for land cover mapping using OBIA and local USPO
Lslide package provides functions for the automated dection of landslides using high-resolution LiDAR DTM data, open-source software, and an object-oriented approach. Moreover, it consists of basic functions of Evan's Geomorphometry & Gradient Metrics Toolbox
GEE code for national-scale land cover classification using Sentinel imagery
Pixel-based and object-oriented land cover classifications of historical panchromatic Corona Spy satellite images
Curso intermedio de GRASS GIS. Edición 2023. UNC.
"Classical" object-based image segmentation (OBIA) for geospatial data
Object-based image analysis (OBIA) using Orfeo Toolbox
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