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230pix2pix

als_nns

Convolutional Neural Networks to predict forest stand variables with help of voxelized ALS data

awesome-backbones

集成主流Backbone，学习/对比/魔改

bap

Best Available Pixel calculation using Google Earth Engine

bayesian_lsp

A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.

beps-sif-model

BEPS-SIF is a global sun-induced chlorophyll fluorescence model which considers the multiple scattering effects within a canopy.

ccdc

Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.

cheatsheets

RStudio Cheat Sheets

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

cs-video-courses

List of Computer Science courses with video lectures.

cuestarfm

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

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.

custsg

cuSTSG is a GPU-enabled spatial-temporal Savitzky-Golay (STSG) program based on the Compute Unified Device Architecture (CUDA). Firstly, the cosine similarities between the annual NDVI time series are used to identify and exclude the NDVI values with inaccurate quality flags from the NDVI seasonal growth trajectory. Secondly, the computational performance is improved by reducing redundant computations, and parallelizing the computationally intensive procedures using CUDA on GPUs.

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

dtwclust

R Package for Time Series Clustering Along with Optimizations for DTW

dtwsat

Time-Weighted Dynamic Time Warping for satellite image time series analysis

dynamicworld

ee-dynamic-time-warping

ee-rgb-timeseries

Earth Engine JS module to color time series chart points as stretched 3-band RGB.

ee_bionet

The Google Earth Engine implementation of the BioNet algorithm to estimate biophysical parameters along with their uncertainties.

ee_ipl_uv

Multitemporal Cloud Masking in the Google Earth Engine

eewpython

A series of Jupyter notebook to learn Google Earth Engine with Python

fit-fc

forest_degradation_georgia

forestmangr

R package for forest mensuration and management

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gee-image-fusion

geebfastmonitor

Google Earth Engine implementation of the popular R bfast package

geegprphenodemos

Google Earth Engine demo codes from the article "Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression"

geeguide

Harmonization of Landsat and Sentinel 2 in Google Earth Engine, documentation and scripts