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aquacrop-enkf

A crop growth simulation system based on Aquacrop-OS crop model and ensemble Kalman filter

deeplearningforlanduselandcoverclassification

lai4sr

Generating Leaf Area Index Data For Super-Resolution

land_cover_classification

A deep learning (neural network) land cover classification project using satellite images (remote sensing).

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.

lulc-keras

Land Use and Land Cover (LULC) Classification using Convolutional Neural Networks and Transfer Learning

randomforest-ga

Jupyter notebook for classifying remote sensing imagery using random forest machine learning

resunet-a

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

rwofost_expt

R interface for the WOFOST crop simulation model

satellite-image-semantic-segmentation-unet-tensorflow-keras

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

solc

Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类