HoucaiGuo

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

scikit-learn-intelex

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

kneed

Knee point detection in Python :chart_with_upwards_trend:

mpl-scatter-density

:zap: Fast scatter density plots for Matplotlib :zap:

eemont

A python package that extends Google Earth Engine.

DSen2

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

patchify.py

A library that helps you split image into small, overlappable patches, and merge patches into original image.

Fmask

The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.

cubo

On-Demand Earth System Data Cubes (ESDCs) in Python

dsen2-cr

DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

ChangeDetectionPCAKmeans

MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.

PSTCR

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.

python-guided-filter

Numpy/Scipy implementation of the (fast) Guided Filter

MCTK

The MODIS Conversion Toolkit plugin for ENVI

OpenSICDR

Open Satellite Image Cloud Detection Resources (Datasets and Tools)

cuESTARFM

cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)

spams-python

A rehost of the python version of SPArse Modeling Software (SPAMS)

cuFSDAF

cuFSDAF is an enhanced FSDAF algorithm parallelized using GPUs. In cuFSDAF, the TPS interpolator is replaced by a modified Inverse Distance Weighted (IDW) interpolator. Besides, computationally intensive procedures are parallelized using the Compute Unified Device Architecture (CUDA), a parallel computing framework for GPUs. Moreover, an adaptive domain-decomposition method is developed to adjust the size of sub-domains according to hardware properties adaptively and ensure the accuracy at the edges of sub-domains.

VSDF

Code for VSDF: A variation-based spatiotemporal data fusion method

Agri-Fuse

A novel spatiotemporal fusion method: Agri-Fuse

SSLI

Reconstructing seamless harmonized Landsat Sentinel-2 (HLS) time series using self-supervised learning

pyDtwSat

Dynamic Time Warping andTime-Weighted Dynamic Time Warping (TWDTW) for satellite image time series analysis.

ROBOT

Code release for ROBOT (a ROBust and OpTimization-based spatiotemporal data fusion model)

FSDAF2_GUI

The program of FSDAF 2.0.

Hybrid-FusionNet

A Hybrid Feature Fusion Framework for Multi-Source High-Resolution Remote Sensing Image Classification

PhDnet

The source code and pre-trained models of PhDnet

PlanetScope-gap-filling

VICR

IC_CSC-Information-Reconstruction

Missing Information Reconstruction Integrating Isophote Constraint and Color- Structure Control for Remote Sensing Data