Topic: modis Goto Github
Some thing interesting about modis
Some thing interesting about modis
modis,An R package ๐ฆ making it easy to query, preview, download and preprocess multiple kinds of spatial data ๐ฐ via R. All beta.
User: 16eagle
Home Page: https://jakob.schwalb-willmann.de/getSpatialData
modis,A curated list of Awesome Spectral Indices (ASI) resources
Organization: awesome-spectral-indices
modis,A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
Organization: awesome-spectral-indices
Home Page: https://awesome-ee-spectral-indices.readthedocs.io/
modis,The Awesome Spectral Indices Streamlit App.
Organization: awesome-spectral-indices
Home Page: https://share.streamlit.io/davemlz/espectro/main/espectro.py
modis,Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
Organization: awesome-spectral-indices
Home Page: https://ee-spectral.readthedocs.io/
modis, Awesome Spectral Indices in Julia
Organization: awesome-spectral-indices
Home Page: https://awesome-spectral-indices.github.io/SpectralIndices.jl/dev/
modis,Google Earth Engine, Python and R scripts for analysing and visualising MODIS snow duration data in British Columbia
Organization: bcgov
modis,Flask extension for Brazil Data Cube to collect satellite imagery from multiple providers.
Organization: brazil-data-cube
Home Page: https://bdc-collectors.readthedocs.io/en/latest
modis,Earth Observation Data Access Gateway
Organization: cs-si
Home Page: https://eodag.readthedocs.io
modis,Atmospheric correction with Py6S and MODIS data
Organization: dhi-gras
modis,On-Demand Earth System Data Cubes (ESDCs) in Python
Organization: esds-leipzig
Home Page: https://cubo.readthedocs.io/en/latest/
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.
User: fdetsch
modis,A repository to showcase environmental projects implemented with Google Earth Engine platform, Javascript and machine learning algorithms.
User: fotioudim
modis,Python module to download modis data
User: gabriel-desharnais
modis,Remote sensing data processing
Organization: genericmappingtools
modis,cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)
Organization: hpscil
modis,cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)
Organization: hpscil
modis,cuSTNLFFM is a GPU-enabled Spatial and Temporal Non-Local Filter-based Fusion Model (STNLFFM)
Organization: hpscil
modis,Materials for NCEO crop modelling, Earth Observation and DA workshop in Accra
User: jgomezdans
Home Page: http://jgomezdans.github.io/accra_wkshp
modis,BRDF modelling using linear kernel models
User: jgomezdans
modis,A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python
User: johnnay
Home Page: http://johnjnay.com/forecastVeg/
modis,R scripts for the SWAT model calibration/sensitivity/uncertainty analysis
User: kkyong77
modis,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/
User: krishnakafle
Home Page: https://kaflekrishna.com.np/
modis,Map of the Thomas Fire, using data from NASA's MODIS and VIIRS satellites
User: mkmcc
modis,A highly modular Discord bot designed for anyone to customise and self-host.
Organization: modisworks
Home Page: https://modisworks.github.io/
modis,Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
User: montimaj
modis,Sentinel 2 and Landsat 8 Atmospheric correction
Organization: multiply-org
Home Page: http://www2.geog.ucl.ac.uk/~ucfafyi/
modis,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.
Organization: nasa-develop
modis,ๅซๆ้ฅๆ-ๆฐๆฎๅค็ใๅๆไธๅๆผ-Pythonๅฎ็ฐ
User: ninganme
modis,Access data from the MODIS web service and perform quality filtering in Python
Organization: ornldaac
modis,Webinar: NASA ORNL DAAC MODIS and VIIRS Data Tools and Services at your Fingertips
Organization: ornldaac
modis,A sea ice detection algorithm to map sea ice using MODIS visible and infrared data at 500 m resolution.
User: parera-portell
modis,A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. โฌ๏ธ โฌ๏ธ
User: pinkychow1010
Home Page: https://sites.google.com/view/intraurban/home
modis,A ninja python package that unifies the Google Earth Engine ecosystem.
Organization: r-earthengine
Home Page: https://ee-extra.readthedocs.io/
modis,Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
User: rajohansen
Home Page: https://rajohansen.github.io/waterquality/
modis,An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
Organization: ropensci
Home Page: https://docs.ropensci.org/MODIStsp
modis,Biweekly mapping of land use and land cover using MODIS time series (MOD13Q1) and LSTM Neural Networks.
User: saraivaufc
modis,GEE, an open-source platform, for fast computation to Spatio-temporal analysis of satellite data.
User: saumyatas
modis,This repository contains code examples which demonstrate how users can access the CMRSET actual evapotranspiration data product and related data services.
Organization: ternaustralia
Home Page: https://portal.tern.org.au/actual-evapotranspiration-australia-cmrset-algorithm/21915
modis,FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics
User: tianjialiu
Home Page: https://sites.google.com/view/firecam/home
modis,HMS Smoke Explorer: To visualize NOAA's Hazard Mapping System (HMS) smoke product
User: tianjialiu
Home Page: https://globalfires.earthengine.app/view/hms-smoke
modis,ModL2T: hybrid MODIS and Landsat algorithm in Google Earth Engine for estimating post-monsoon burned area from agricultural fires in northwestern India
User: tianjialiu
modis,MODIS Assimilation and Processing Engine
Organization: wfp-vam
Home Page: https://wfp-vam.github.io/modape/
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