MODISTools-package: MODIS subsetting tools

Description Details Author(s) References See Also

Description

Provides an automated batch method for retrieving subsets of MODIS Land Processes data through the MODIS Web Service and processing them to a format ready for user friendly application in R such as statistical modelling. Datasets currently available - from terra, aqua, and combined platforms - through the web service: surface reflectance; land cover/land cover change; land surface temperature and emissivity; vegetation indices; leaf area index and FPAR; evapotranspiration; net photosynthesis and primary productivity.

Details

Imports RCurl and XML. The main purpose of this package is to employ the MODIS SOAP Web Service to remotely interrogate the MODIS archive and locally download the requested datasets. The most important function is MODISSubsets, which allows the user to request subsets from a given MODIS product for multiple time-series. Each time-series is defined by a coordinate location (WGS-1984), a specified surrounding extent of pixels, and a start and end date. The relevant MODIS product data is then extracted for these location/time combinations. Automating this as a batch process greatly reduces time, effort, and human error. Alternatively, MODISTransects expands upon MODISSubsets by extracting MODIS data along a transect, and its surrounding neighbourhood. Downloaded subsets are saved in ascii files, which are then accessed by MODISSummaries for computing summary statistics. It also organises downloaded data back with the original input data into a csv file that can be easily used for modelling; this provides efficient storage of data and a transparent process from data collection, to processing, to a form that is ready for final use.

Author(s)

Sean Tuck

References

https://daacmodis.ornl.gov/cgi-bin/MODIS/GLBVIZ_1_Glb/modis_subset_order_global_col5.pl

https://cran.r-project.org/package=RCurl

https://cran.r-project.org/package=XML

See Also

MODISSubsets


seantuck12/MODISTools documentation built on May 29, 2019, 4:55 p.m.