Arid
Merging unmixed landsat TM data in a semi-empirical SAR model for the assessment of herbaceous vegetation biomass in a heterogeneous environment
Svoray, T; Shoshany, M
通讯作者Svoray, T
会议名称3rd International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Applications
会议日期SEP 11-14, 2001
会议地点SHEFFIELD, ENGLAND
英文摘要

In this paper we suggest a remote sensing methodology for herbaceous Areal Aboveground Biomass (AAB) estimations in the heterogeneous Mediterranean system. The methodology developed is based on a modification of the water-cloud model to the conditions of mixed environments including shrub, dwarf shrub and herb formations. The use of the Green leaf biomass Volumetric Density (GVD) as a canopy descriptor and the use of soil and vegetation fractions from Landsat TM data facilitated improvements in the application of the water-cloud model to the study area and enabled successful reproduction of the backscatter from the Mediterranean vegetation formations and the derivation of AAB values of herbaceous vegetation. The model was applied to the entire image domain and the AAB layers achieved prove capable of representing spatio-temporal patterns of changing AAB. Based on these results, the methodology provided in this paper lays a basis for the derivation of important and more advanced ecological and range management parameters, such as primary production, carrying capacity and dominance in the areal domain. The use of satellite images for quantitative mapping of these parameters may contribute significantly to our understanding of Mediterranean to semi-arid ecosystems and could provide an efficient tool for rangeland planners and decision makers.


来源出版物PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON RETRIEVAL OF BIO- AND GEOPHYSICAL PARAMETERS FROM SAR DATA FOR LAND APPLICATIONS
ISSN0379-6566
出版年2002
卷号475
页码81-86
ISBN92-9092-741-0
出版者ESA PUBLICATIONS DIVISION C/O ESTEC
类型Proceedings Paper
语种英语
国家Israel
收录类别CPCI-S
WOS记录号WOS:000175369400012
WOS关键词ERS-1 SAR ; BACKSCATTER
WOS类目Geography, Physical ; Instruments & Instrumentation ; Remote Sensing ; Optics
WOS研究方向Physical Geography ; Instruments & Instrumentation ; Remote Sensing ; Optics
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/293963
作者单位(1)Ben Gurion Univ Negev, Dept Geog & Environm Dev, Dept Informat Syst Engn, IL-84105 Beer Sheva, Israel
推荐引用方式
GB/T 7714
Svoray, T,Shoshany, M. Merging unmixed landsat TM data in a semi-empirical SAR model for the assessment of herbaceous vegetation biomass in a heterogeneous environment[C]:ESA PUBLICATIONS DIVISION C/O ESTEC,2002:81-86.
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