BIOMASS ESTIMATION ALONG A CLIMATIC GRADIENT USING MULTI-FREQUENCY POLARIMETRIC RADAR VEGETATION INDEX
Abstract. Monitoring biomass changes in the Mediterranean ecosystems is important for better understanding their responses to climatic and anthropogenic changes. Multi-frequency SAR data (L-band PASLAR and C-band Sentinel-1) is investigated for developing a biomass estimation model along a climatic gradient in Israel. First, the relationships between biomass and transmissivity at various frequencies are discussed. Multi-frequency polarimetric radar vegetation index (MPRVI) is then proposed utilizing the ensemble average of degree of polarization and cross-polarized backscattering coefficients. After randomly partitioning the data for training set and testing set, the new MPRVI-based biomass model is evaluated. It shows a good agreement with reference biomass data with an r-square of 0.899 and a root-mean-squared error (RMSE) of 0.381 kg/m2 and with a relative RMSE (RRMSE) of 10.8%.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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BIOMASS ESTIMATION ALONG A CLIMATIC GRADIENT USING MULTI-FREQUENCY POLARIMETRIC RADAR VEGETATION INDEX ; volume:V-3-2022 ; year:2022 ; pages:369-374 ; extent:6
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; V-3-2022 (2022), 369-374 (gesamt 6)
- Creator
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Chang, G. J.
Oh, Y.
Shoshany, M.
- DOI
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10.5194/isprs-annals-V-3-2022-369-2022
- URN
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urn:nbn:de:101:1-2022051905313346230418
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:22 AM CEST
Data provider
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Associated
- Chang, G. J.
- Oh, Y.
- Shoshany, M.
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