Proceedings of the Fourth International Conference on Environmental Science and Technology (EST 2023)

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Estimation of Grassland Biomass in Eastern Mongolia RS-Based Vegetation Indices

Authors
Amarsaikhan Damdinsuren1, *, Byambadolgor Batdorj1, Enkhjargal Damdinsuren1, Nyamjargal Erdenebaatar1, Tsogzol Gurjav1
1Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia
*Corresponding author. Email: amarsaikhan@mas.ac.mn
Corresponding Author
Amarsaikhan Damdinsuren
Available Online 29 October 2023.
DOI
10.2991/978-94-6463-278-1_20How to use a DOI?
Keywords
Eastern grassland area; biomass; MODIS data; vegetation indices
Abstract

The aim of this study is to estimate above-ground biomass (AGB) in the eastern grassland area of Mongolia applying two machine learning methods, such as the support vector machine (SVM) and random forest (RF), and determine the appropriate method by comparing the results. For this purpose, 21 vegetation indices derived from MODIS data of August 2016 are used. As ground-truth information, reference biomass samples are available from 38 sites of a field survey. To select the appropriate prediction variables, the correlations between the measured biomass in the field and the defined indices are calculated. For further analysis, eight indices with correlation coefficients (r)>0.6 are selected. When the classification results are compared, the RF method demonstrates higher accuracy. Therefore, we can conclude that it can be used efficiently for the estimation of AGB in the selected grassland area of Mongolia.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Fourth International Conference on Environmental Science and Technology (EST 2023)
Series
Advances in Engineering Research
Publication Date
29 October 2023
ISBN
978-94-6463-278-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-278-1_20How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Amarsaikhan Damdinsuren
AU  - Byambadolgor Batdorj
AU  - Enkhjargal Damdinsuren
AU  - Nyamjargal Erdenebaatar
AU  - Tsogzol Gurjav
PY  - 2023
DA  - 2023/10/29
TI  - Estimation of Grassland Biomass in Eastern Mongolia RS-Based Vegetation Indices
BT  - Proceedings of the Fourth International Conference on Environmental Science and Technology (EST 2023)
PB  - Atlantis Press
SP  - 205
EP  - 215
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-278-1_20
DO  - 10.2991/978-94-6463-278-1_20
ID  - Damdinsuren2023
ER  -