land-cover
There are 50 repositories under land-cover topic.
Azure/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 land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
KonstantinosF/Classification-of-Hyperspectral-Image
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
agr-ayush/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.
Kalit31/Land-Cover-Analysis
Land Cover Change Detection using Satellite Image Segmentation.
microsoft/landcover-orinoquia
Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project
jgrss/cultionet
Image segmentation of cultivated land
Junjue-Wang/LoveNAS
[ISPRS 2024] LoveNAS: Towards Multi-Scene Land-Cover Mapping via Hierarchical Searching Adaptive Network
DynaSlum/satsense
Satsense is a Python library for land use/cover classification using satellite imagery
calekochenour/gee-vegetation-change
Reproducible remote sensing analysis using Google Earth Engine (GEE) to identify vegetation change in Columbia.
ar-siddiqui/curve_number_generator
QGIS Plugin 'Curve Number Generator' has multiple algorithms to generate the curve number layer for any area of interest using different datasets.
tgrippa/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
vannizhang/aiforearth-landcover-app
A web mapping app to test, tweak and train the land cover classification from a deep neural network model built by @microsoft
hamidrezaomidvar/LINDER
LINDER (Land use INDexER) is an open-source machine-learning based land use/land cover (LULC) classifier using Sentinel 2 satellite imagery
brazil-data-cube/rwlts
R Client Library for Web Land Trajectory Service
preligens-lab/challenge-ens
Code repository for the ENS Challenge Data 2021 by Preligens
mintusf/land_cover_segmentation
Segmentation for land cover using raw satellite data (Sentinel 2La)
n-verde/LIFE-IP_4_NATURA
GEE code for national-scale land cover classification using Sentinel imagery
nicoladimauro/TiSeLaC-ECMLPKDD17
TiSeLaC ECML/PKDD 2017 discovery challenge solution
brazil-data-cube/rlccs
R Client Library for Land Cover Classification System Web Service
saraivaufc/land-use-classification-using-encoder-decoder-lstm
Biweekly mapping of land use and land cover using MODIS time series (MOD13Q1) and LSTM Neural Networks.
xp-song/Intro2R-spatial
A crash course in analysing spatial patterns of the landscape using R
brazil-data-cube/lccs-ws
Land Cover Classification System Web Service
brazil-data-cube/lccs.py
Python Client Library for Land Cover Classification System Web Service
derevirn/lulc-keras
Land Use and Land Cover (LULC) Classification using Convolutional Neural Networks and Transfer Learning
vannizhang/sentinel2-land-cover-explorer
The source code of the Sentinel-2 Land Cover Explorer has been moved to https://github.com/Esri/imagery-explorer-apps
brazil-data-cube/lccs-db
Land Cover Classification System Database Model
brazil-data-cube/lccs-ws-spec
Land Cover Classification System Web Service Specification
kadyb/OGH2023_hack
Hackathon "Automatic land cover mapping" at OpenGeoHub Summer School 2023
mbacou/WADashboard
Water Accounting+ dashboard
mebauer/parcel-impervious-area-nyc
Exploring NYC's DEP Citywide Parcel-Based Impervious Area GIS Study.
Nowosad/CLLC
Country-level Land Cover - categories and transitions
Servir-Mekong/rlcms
Hosting repository for the RLCMS methodology and code using GEE
ApexRMS/stsimsf
SyncroSim Add-On Package (to stsim) for integrating stocks and flows into state-and-transition simulation models in ST-Sim.
darkshadow013/Land-Cover-ML
This project is to find the land cover on a satellite image using machine learning models. This project uses CNN and SVM as Hybrid to do so.
Sophie-Villerot/Sentinel-for-CLMS-Papers
Papers for Copernicus Land Monitoring Services evolution - based on H2020 ECoLaSS project