land-cover topic
pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded...
Classification-of-Hyperspectral-Image
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
cultionet
Image segmentation of cultivated land
Semi_automated_OBIA_processing_with_local_USPO
This repository contains the computer code of a semi-automated framework for land cover mapping using OBIA and local USPO
satsense
Satsense is a Python library for land use/cover classification using satellite imagery
Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification
LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.
Land-Cover-Analysis
Land Cover Change Detection using Satellite Image Segmentation.
gee-vegetation-change
Reproducible remote sensing analysis using Google Earth Engine (GEE) to identify vegetation change in Columbia.
landcover-orinoquia
Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project
LoveNAS
[ISPRS 2024] LoveNAS: Towards Multi-Scene Land-Cover Mapping via Hierarchical Searching Adaptive Network