modis
There are 2 repositories under modis topic.
- awesome-spectral-indices
awesome-spectral-indices / awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Language:Python 844 - eodagLanguage:Python 317
16EAGLE / getSpatialData
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
Language:R 303- spectral
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
Language:JavaScript 174 - cubo
ESDS-Leipzig / cubo
On-Demand Earth System Data Cubes (ESDCs) in Python
Language:Python 164 ropensci / MODIStsp
An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
Language:R 155HPSCIL / cuSTARFM
cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)
Language:Cuda 68r-earthengine / ee_extra
A ninja python package that unifies the Google Earth Engine ecosystem.
Language:Python 61fdetsch / MODIS
Download and processing framework for MODIS imagery. The package provides automated access to the global online data archives LP DAAC, LAADS and NSIDC as well as processing capabilities such as file conversion, mosaicking, subsetting and time series.
Language:R 58cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)
Language:Cuda 53JohnNay / forecastVeg
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
Language:Python 45RAJohansen / waterquality
Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
Language:R 42- EO-Climate-Hazard-Analysis-App
pinkychow1010 / EO-Climate-Hazard-Analysis-App
A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️
- Language:Ruby 38
peterkuma / ccplot
Command-line application for visualizing data from CloudSat and CALIPSO satellites
Language:Python 35multiply-org / atmospheric_correction
Sentinel 2 and Landsat 8 Atmospheric correction
Language:C 34- Language:Python 28
krishnakafle / Blog_kaflekrishna
All the code in this branch will be python based, upon jupyter notebook. You will be able to find all codes for Google Earth Engine(GEE) on this repository. You will be able to link code with each post blog on readme file for each folders. Content from the Blog https://kaflekrishna.com.np will be uploaded here. https://google-earth-engine.com/
Language:Jupyter Notebook 25ornldaac / modis_restservice_qc_filter_Python
Access data from the MODIS web service and perform quality filtering in Python
Language:Jupyter Notebook 22- espectro
The Awesome Spectral Indices Streamlit App.
Language:Python 21 NingAnMe / Python-Satellite-remote-sensing
卫星遥感-数据处理、分析与反演-Python实现
Language:Python 21- awesome-ASI
A curated list of Awesome Spectral Indices (ASI) resources
cuSTNLFFM is a GPU-enabled Spatial and Temporal Non-Local Filter-based Fusion Model (STNLFFM)
Language:Cuda 19- HydroMST
montimaj / HydroMST
Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
Language:Python 19 - SpectralIndices.jl
Awesome Spectral Indices in Julia
Language:Julia 18 GenericMappingTools / RemoteS.jl
Remote sensing data processing
Language:Julia 18saumyatas / Zonal-Statistics
GEE, an open-source platform, for fast computation to Spatio-temporal analysis of satellite data.
Language:JavaScript 18Webinar: NASA ORNL DAAC MODIS and VIIRS Data Tools and Services at your Fingertips
Language:Jupyter Notebook 17ModisWorks / modis
A highly modular Discord bot designed for anyone to customise and self-host.
Language:Python 16tianjialiu / FIRECAM
FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics
Language:JavaScript 16jgomezdans / BRDF_modelling
BRDF modelling using linear kernel models
Language:Jupyter Notebook 15HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product
Language:JavaScript 14bcgov / snow-dur-analysis
Google Earth Engine, Python and R scripts for analysing and visualising MODIS snow duration data in British Columbia
Language:R 13NASA-DEVELOP / ORCAA
The Optical Reef and Coastal Area Assessment (ORCAA) tool in Google Earth Engine allows users to monitor, track, and evaluate water parameters in the Belize and Honduras Barrier Reefs from January 2013 to present using Landsat 8, Sentinel-2, and Aqua/Terra MODIS imagery.
- Language:Jupyter Notebook 11
- cmrset-examples
ternaustralia / cmrset-examples
This repository contains code examples which demonstrate how users can access the CMRSET actual evapotranspiration data product and related data services.
Language:Jupyter Notebook 11
