Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/TGRS.2018.2848285 |
Polarimetric Radar Vegetation Index for Biomass Estimation in Desert Fringe Ecosystems | |
Chang, Jisung Geba1; Shoshany, Maxim1; Oh, Yisok2 | |
通讯作者 | Chang, Jisung Geba |
来源期刊 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
ISSN | 0196-2892 |
EISSN | 1558-0644 |
出版年 | 2018 |
卷号 | 56期号:12页码:7102-7108 |
英文摘要 | Biomass estimation of eastern Mediterranean shrublands was investigated using PALSAR full- and dual-polarization L-band and Sentinel-1 dual-polarization C-band data. First, we conducted an empirical assessment of single and multiple regressions between polarized backscattering coefficients and shrubland biomass distribution along the climatic gradient between semiarid and arid regions. We then found that the PALSAR L-band HV-polarized backscattering coefficient has higher biomass information content than Sentinel-1 C-band data. Based on a theoretical volume scattering model and a semiempirical model, we propose a new polarimetric radar vegetation index (PRVI) that utilizes the degree of polarization and the cross-polarized backscattering coefficient. The relationship between the new index and the biomass was assessed with reference to normalized difference vegetation index-based biomass estimates calculated using Landsat imagery. The PRVI was found to have higher correlation with biomass compared with other radar polarization parameters, in general, and an existing radar vegetation index (RVI), in particular. Assessment of PRVI-based biomass predictions compared with allometric data extracted from air photographs, Lidar, and field data for 67 sites across the desert fringe zone indicated moderate performance with an RMSE of 0.329 kg/m(2), while an RVI-based biomass estimation had an RMSE of 0.439 kg/m(2). |
英文关键词 | ALOS-PALSAR degree of polarization polarimetric radar vegetation index (RVI) (PRVI) shrublands |
类型 | Article |
语种 | 英语 |
国家 | Israel ; South Korea |
收录类别 | SCI-E |
WOS记录号 | WOS:000451621000019 |
WOS关键词 | ERS-2 SAR BACKSCATTER ; FOREST BIOMASS ; SHRUBLAND BIOMASS ; MODEL ; DESERTIFICATION ; POLARIZATION ; IMAGES ; RICE |
WOS类目 | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/209989 |
作者单位 | 1.Technion Israel Inst Technol, Fac Civil & Environm Engn, Haifa 3200003, Israel; 2.Hongik Univ, Sch Elect & Elect Engn, Seoul 04066, South Korea |
推荐引用方式 GB/T 7714 | Chang, Jisung Geba,Shoshany, Maxim,Oh, Yisok. Polarimetric Radar Vegetation Index for Biomass Estimation in Desert Fringe Ecosystems[J],2018,56(12):7102-7108. |
APA | Chang, Jisung Geba,Shoshany, Maxim,&Oh, Yisok.(2018).Polarimetric Radar Vegetation Index for Biomass Estimation in Desert Fringe Ecosystems.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,56(12),7102-7108. |
MLA | Chang, Jisung Geba,et al."Polarimetric Radar Vegetation Index for Biomass Estimation in Desert Fringe Ecosystems".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56.12(2018):7102-7108. |
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