Applicability of different vegetation indices for pasture biomass estimation in the north-central region of Mongolia

A dependable pasture biomass estimation is critical to prevent the pasture shortages for decision-makers at all levels in Mongolia. Remote sensing technology is expected to be capable of deriving such estimates. Therefore, in this study, we produced and compared linear regression models between abov...

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Bibliographic Details
Published in:Geocarto international 2022-12, Vol.37 (25), p.7415-7430
Main Authors: Bayaraa, Batbileg, Hirano, Akira, Purevtseren, Myagmartseren, Vandansambuu, Battsengel, Damdin, Byambasuren, Natsagdorj, Enkhjargal
Format: Article
Language:English
Subjects:
Mongolia
pasture biomass
vegetation indices
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Summary:A dependable pasture biomass estimation is critical to prevent the pasture shortages for decision-makers at all levels in Mongolia. Remote sensing technology is expected to be capable of deriving such estimates. Therefore, in this study, we produced and compared linear regression models between above-ground pasture biomass and seven vegetation indices using close-range spectral measurements in the forest-steppe zone, which is one of six vegetation zones of Mongolia. The results indicated that the atmospherically resistant vegetation index (ARVI) (R 2 = 0.62; p 
ISSN:1010-6049
1752-0762
DOI:10.1080/10106049.2021.1974956