MODIS

Data downloader and processor

A framework for accessing and processing MODIS imagery data from various online archives.

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.

GitHub

57 stars
13 watching
27 forks
Language: R
last commit: over 3 years ago
Linked from 1 awesome list

downloadmodisprocess

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
ropensci/modistspAutomates processing of MODIS Land Products time series data from satellite imagery156
jgomezdans/get_modisTools to download MODIS data from the USGS repository using Python62
bluegreen-labs/modistoolsA package providing an interface to download MODIS land products subsets in R.1
lucadelu/pymodisA Python library to download and process MODIS data from NASA servers166
wintechis/flex-rmlA tool for efficient data transformation and knowledge graph construction using RDF Mapping Language4
ropensci/feddataAutomates download and preprocessing of large-scale geospatial datasets from various sources.99
froydnj/chipzA Common Lisp library for decompressing compressed data from various algorithms17
openforis/sepalA platform for processing and analyzing large datasets related to forest monitoring and sustainable development213
laserdisc-io/laserdiscA pure functional programming Redis client with strongly typed protocol and serialization94
carlos-alberto-silva/rgediA package providing tools for downloading, visualizing and processing NASA's Global Ecosystem Dynamics Investigation data166
dlr-eoc/ukis-pysatProvides tools to access and process satellite data from various sources27
mnhrdt/imscriptA collection of small C utilities for image processing and manipulation.120
16eagle/getspatialdataAn R package for querying, preprocessing and downloading various spatial datasets from public APIs.304
disruptek/frostyA library for serializing and deserializing data from various targets such as streams and sockets50
zimmski/tavorAutomates testing of structured data formats using randomized generation and analysis245