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100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code-1

100 Days of ML Coding

2021-erl-wnv-risk

This is the repository used to create West Nile virus risk maps with ECOSTRESS LST measurements.

a212

a500_conda_code

acolite

ACOLITE: generic atmospheric correction module

altoolbox

MATLAB Active Learning Toolbox for Remote Sensing

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book An Introduction to Statistical Learning in python.

antair

Scripts and functions for a monitoring of air temperature in Antarctica using MODIS data and machine learning

astroimagereconscnn

Astronomical Image Reconstruction with Convolutional Neural Networks

atmosphericcorrection

6s模型大气校正python版本，支持GF1、2,Landsat-8,Sentinel-2等影像

atmosphericcorrectionintroduction

This repo contains a brief introduction to atmospheric correction for remote sensing imagery using examples from drone imagery.

atsc500

UBC ATSC500 boundary layer meteorology

awesome-atmos

A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning

awesome-google-earth-engine

Curated list of Google Earth Engine resources

bayesian-geographically-weighted-regression

The code to conduct Bayesian geographically weighted regression

bayesiantools

General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics

bernscm

bndownscale

Climate Downscaling with Bayesian Networks in R. This is the code for the Master's Thesis Multisite Downscaling of Precipitation with Bayesian Networks, which can be found in the link below. Note that this work has been polished and reworked thoroughly in the repository downscaleR.BN.

boundedline-pkg

Plot line(s) with error bounds/confidence intervals/etc. in Matlab

buildingchangedetector

基于U-Net检测卫星图像上的新增建筑

builtup-classification-osm

Replication code for "Supervised Classification of Built-up Areas in Sub-Saharan African Cities using Landsat Imagery and OpenStreetMap"

cafferemotesensing

cdt

The Climate Data Toolbox for Matlab

ceus_mgwr

Computational Improvements to Multi-scale Geographically Weighted Regression (MGWR)

climlab

Python package for process-oriented climate modeling

continuouslst

convert_geotiff

A commandline utility for converting GeoTIFF files for use in WRF

cryogrid3

CryoGrid is a one-dimensional land surface model dedicated to simulate ground temperatures in permafrost environments. The model calculates the surface energy balance in order to represent energy transfer processes between the atmosphere and the ground. These processes include the radiation balance, the exchange of sensible heat, as well as evaporation and condensation. For a realistic representation of the thermal dynamics of the ground, the model includes processes such as the phase change of soil water and an insulating snow cover during winter. Further developments of CryoGrid already enable the model to represent processes such as ground subsidence and the formation of thermokarst due to melting of excess ground ice. The implemented lake module (FLAKE) allows CryoGird also to simulate heat transfer processes of tundra landscapes that are densely populated by lakes and ponds.

cssfc

experiemntal code for “Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing”