Identification of early abandonment in cropland through radar‐based coherence data and application of a Random‐Forest model-Reference-Cited by-同舟云学术

Identification of early abandonment in cropland through radar‐based coherence data and application of a Random‐Forest model

Published:2022-05-05 Issue:7 Volume:14 Page:735-755
ISSN:1757-1693
Container-title:GCB Bioenergy
language:en
Short-container-title:GCB Bioenergy

Author:

Meijninger Wouter¹,Elbersen Berien¹^ORCID,van Eupen Michiel¹,Mantel Stephan²,Ciria Pilar³,Parenti Andrea⁴^ORCID,Sanz Gallego Marina³,Perez Ortiz Paloma³,Acciai Marco⁴,Monti Andrea⁴^ORCID

Affiliation:

1. Wageningen University & Research Wageningen The Netherlands

2. ISRIC Wageningen The Netherlands

3. CIEMAT Madrid Spain

4. Bologna University Bologna Italy

Funder

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Waste Management and Disposal,Agronomy and Crop Science,Renewable Energy, Sustainability and the Environment,Forestry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gcbb.12939

Reference65 articles.

1. The potential of sentinel-1 InSAR coherence for grasslands monitoring in Eastern Cape, South Africa

2. Mapping the extent of abandoned farmland in Central and Eastern Europe using MODIS time series satellite data

3. Borcan. (2020).https://programmerbackpack.com/introduction‐to‐random‐forests‐classifier‐and‐step‐by‐step‐sklearn‐implementation/(visited30‐9‐2021)

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