SURFACE PARAMETERS ESTIMATION USING RADARSAT-2 POLARIMETRIC DATA OVER WHEAT COVERED AREA

被引：0

作者：

Chen, Quan ^{[1
,2
,3
]}

Li, Zhen ^{[1
]}

Cai, Aimin ^{[2
,3
]}

Tian, Bangsen ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100864, Peoples R China

[2] Grad Univ Chinese Acad Sci, Beijing 100864, Peoples R China

[3] Beijing Normal Univ, Inst Remote Sensing Applicat Chinese Acad Sci, State Key Lab Remote Sensing Sci, Beijing 100864, Peoples R China

来源：

2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年

关键词：

Radarsat-2; Soil Moisture; Roughness; Polarimetric; Vegetation Covered area;

D O I：

10.1109/IGARSS.2010.5650824

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In the field of agriculture, robust harvests and crop yields are challenged by the dynamic nature of soil and crop conditions that fluctuate throughout the growing season. Satellite SAR imagery is an efficient method for mapping crop and underground soil characteristics over large spatial areas and tracking temporal changes in soil and crop conditions. Compared with conventional one (ERS-1/2, Radarsat-1) or two-polarization (Envisat/ASAR) space-borne SAR sensors, RADARSAT-2 powerful new features in terms of polarization can benefit the agricultural sector. In this paper, soil moisture and LAI from ground measurements is compared with power information of two Radarsat-2 polarimetric images, result shows soil moisture does has some influence when vegetation is short, but LAI doesn't influence backscattering at any stage of this paper.

引用

页码：4843 / 4846

页数：4

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