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RFmerge (version 0.1-10)

Merging of Satellite Datasets with Ground Observations using Random Forests

Description

S3 implementation of the Random Forest MErging Procedure (RF-MEP), which combines two or more satellite-based datasets (e.g., precipitation products, topography) with ground observations to produce a new dataset with improved spatio-temporal distribution of the target field. In particular, this package was developed to merge different Satellite-based Rainfall Estimates (SREs) with measurements from rain gauges, in order to obtain a new precipitation dataset where the time series in the rain gauges are used to correct different types of errors present in the SREs. However, this package might be used to merge other hydrological/environmental satellite fields with point observations. For details, see Baez-Villanueva et al. (2020) . Bugs / comments / questions / collaboration of any kind are very welcomed.

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Install

install.packages('RFmerge')

Monthly Downloads

23

Version

0.1-10

License

GPL (>= 3)

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Maintainer

Mauricio ZambranoBigiarini

Last Published

May 22nd, 2020

Functions in RFmerge (0.1-10)

RFmerge-package

Merging of Satellite Datasets with Ground Observations using Random Forests
ValparaisoPPts

Daily Precipitation Time Series for Valparaiso Region (Chile)
RFmerge

Merging of satellite datasets with ground observations using Random Forests (RF)
ValparaisoPPgis

Spatial location of rain gauges in the Valparaiso region (Chile)
ValparaisoSHP

Administrative borders of the Valparaiso Region (Chile)