# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "RFmerge" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'RFmerge: Merging of Satellite Datasets with Ground Observations using Random
  Forests'
version: 0.3-3
doi: 10.1016/j.rse.2019.111606
identifiers:
- type: doi
  value: 10.32614/CRAN.package.RFmerge
abstract: 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 gridded
  datasets with point observations. For details, see Baez-Villanueva et al. (2020)
  <https://doi.org/10.1016/j.rse.2019.111606>. Bugs / comments / questions / collaboration
  of any kind are very welcomed.
authors:
- name: Mauricio Zambrano-Bigiarini
  email: mzb.devel@gmail.com
  orcid: https://orcid.org/0000-0002-9536-643X
- name: Oscar M. Baez-Villanueva
  email: oscar.baezvillanueva@ugent.be
  orcid: https://orcid.org/0000-0002-2262-1698
preferred-citation:
  type: article
  title: 'RF-MEP: a novel Random Forest method for merging gridded precipitation products
    and ground-based measurements'
  authors:
  - name: Baez-Villanueva
  - family-names: M.
    given-names: O.
  - name: Zambrano-Bigiarini
  - name: M.
  - name: Beck
  - name: H.
  - name: McNamara
  - name: I.
  - name: Ribbe
  - name: L.
  - name: Nauditt
  - name: A.
  - name: Birkel
  - name: C.
  - name: Verbist
  - name: K.
  - name: Giraldo-Osorio
  - name: J.D.
  - name: Thinh
  - name: N.X.
  journal: Remote Sensing of Environment
  volume: '239'
  year: '2020'
  doi: 10.1016/j.rse.2019.111606
  url: https://doi.org/10.1016/j.rse.2019.111606
  start: '111610'
repository: https://cran.r-universe.dev
repository-code: https://github.com/hzambran/RFmerge
commit: 97122d5de92933e61e68062f64a73e6bd3f80f14
url: http://mzb.cl/RFmerge/
date-released: '2026-05-08'
contact:
- name: Mauricio Zambrano-Bigiarini
  email: mzb.devel@gmail.com
  orcid: https://orcid.org/0000-0002-9536-643X
references:
- type: manual
  title: 'RFmerge: Merging of Satellite Datasets with Ground Observations using Random
    Forests'
  authors:
  - name: Mauricio Zambrano-Bigiarini
    email: mzb.devel@gmail.com
  - name: Oscar M. Baez-Villanueva
    email: obaezvil@th-koeln.de
  - name: Juan Giraldo-Osorio
    email: j.giraldoo@javeriana.edu.co
  year: '2026'
  notes: R package version 0.3-3 . doi:10.32614/CRAN.package.RFmerge
  url: https://CRAN.R-project.org/package=RFmerge
  doi: 10.32614/CRAN.package.RFmerge