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1 Ergebnisse
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Evaluating methods to map burned area at 30-meter resolutio..:
Abhinav Chandel
;
Wajida Sarwat
;
Abdul Najah
..
https://www.frontiersin.org/articles/10.3389/ffgc.2022.933807/full. , 2022
Link:
https://doi.org/10.3389/ffgc.2022.933807
RT Journal T1 <Title>Evaluating methods to map burned area at 30-meter resolution in forests and agricultural areas of Central India</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:10663738fd534c26b7991e5c6c52cd31&Exemplar=1&LAN=DE A1 Abhinav Chandel A1 Wajida Sarwat A1 Abdul Najah A1 Sujay Dhanagare A1 Meghna Agarwala PB Frontiers Media S.A. YR 2022 K1 crop residue burning (CRB) K1 wildfire K1 normalized burn ratio (NBR) K1 machine learning (ML) K1 random forest—ensemble classifier K1 spectral index (SI) K1 Forestry K1 SD1-669.5 K1 Environmental sciences K1 GE1-350 JF https://www.frontiersin.org/articles/10.3389/ffgc.2022.933807/full LK http://dx.doi.org/https://doi.org/10.3389/ffgc.2022.933807 DO https://doi.org/10.3389/ffgc.2022.933807 SF ELIB - SuUB Bremen
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