Topic: landcover-classification Goto Github
Some thing interesting about landcover-classification
Some thing interesting about landcover-classification
landcover-classification,An implementation of the neural network described in "Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification"
Organization: custom-computing-ic
Home Page: https://arxiv.org/abs/1906.11981
landcover-classification,Python module to download and preprocess Sentinel-2 data from Theia platform at tile-level
User: j-desloires
landcover-classification,Landcover classification models validator using the SIGPAC data
User: jesusaldanamartin
landcover-classification,codes for TGRS paper: Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and Retrieval
User: jiankang1991
landcover-classification,Source code for the paper, "Water Body Extraction from Sentinel-2 Imagery with Deep Convolutional Networks and Pixelwise Category Transplantation".
User: joshuabillson
landcover-classification,This is a script that reads in Landsat-8 data, Esri Sentinel-2 10m land cover time series data and train a random forest classification algorithm to estimate fractional built cover at 30m scale. The trained model can be used to produce fractional land cover for other regions.
User: kkumar555
landcover-classification,Upsampling already available land cover raster layers using machine learning inside Google Earth Engine platform.
User: konstantinosf
landcover-classification,In order to map LCLU in french-Guyana, few scripts were developped or adapted to enable either to automaticaly map either to explore cloudless mosaic and even automaticaly detect floodings with Sentinel 1 SAR data.
User: lecaethomas
landcover-classification,Additional Material for JETRO GLODAL + SV CU LDD Training at TNI, May 2023
User: lookmeebbear
landcover-classification,Future Urban-Wildfire Risk Mapping (FUWRM), pronounced as "form". This repository holds the programming script files and some of the binaries that represent the predictive risk maps for wildfires in urban regions of Southern Victoria (AUS) and Northern California (USA) in 2030 and 2040.
User: madicetea
landcover-classification,Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification
User: manila95
landcover-classification,The aim of this project was to create a land cover classification of the area near Surat in India for 3 timesteps (2015, 2018, 2022) using a Random Forest classifier to access the process of urbanization
User: mar-koz22
landcover-classification,Landcover classification on sentinel-2 data with Prithvi, EfficientNet-Unet and OSM / CNES Landcover labels.
User: maxwolf-01
landcover-classification,GEE code for pixel-based land cover classification with Random Forest (RF) algorithm, and for NDVI time series visualization.
User: mrbourriz
landcover-classification,Land Use /Land Cover Classification using PyTorch with the RGB EuroSat Dataset
User: muhammedm294
landcover-classification,GRASS GIS addon for Incora landcover classification. See also https://github.com/mundialis/incora
Organization: mundialis
Home Page: https://mundialis.github.io/r.incora/
landcover-classification,The Supervised Land Cover Classification (SLaCC) tool is a Google Earth Engine script created by the Summer 2019 Southern Maine Health and Air Quality Team. It uses NASA Earth observations, the National Land Cover Database, land cover classification training data, and a shapefile of Cumberland County, Maine, USA. The goal of the project was to evaluate land cover and tick habitat suitability in southern Maine. The SLaCC script occurs in two parts. Part 1 of the script allows users to create a supervised land cover map over a region using a Classification And Regression Tree (CART) model. Part 2 of the script allows users to create a map that displays the "edges" of chosen land covers.
Organization: nasa-develop
landcover-classification,Rough implementation of the Automated landcover classification using unsupervised classification methods.
User: ocsmit
landcover-classification,Open source canopy classification system
User: ocsmit
landcover-classification,Landcover classification of satelite images
User: pachums
landcover-classification,This is a Repository used for getting insights about EuroSat dataset and also for training a model in order to classify those 10 classes
User: pauldamsa
landcover-classification,A TensorFlow implentation of fixed size kernel CNN
User: ringochuchudull
Home Page: https://arxiv.org/abs/1906.11834
landcover-classification,Pytorch code for the paper "The color out of space: learning self-supervised representations for Earth Observation imagery"
User: stevinc
landcover-classification,An Earth Engine based landcover mapping tool for the Polesia region, built for the British Trust for Ornithology by Artio Earth Observation.
User: tpfd
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