Soil Moisture Retrieval of Vegetated Land Cover Using RADARSAT-2 Data

被引：0
|
作者：
Kumar, Vinay [1 ]
Ahmed, Tasneem [2 ]
Singh, Dharmendra [1 ]
机构：
[1] Indian Inst Technol Roorkee, Dept Elect & Commun Engn, Roorkee 247667, Uttarakhand, India
[2] Indian Inst Technol Roorkee, Dept Math, Roorkee 247667, Uttarakhand, India
来源：
2015 NATIONAL CONFERENCE ON RECENT ADVANCES IN ELECTRONICS & COMPUTER ENGINEERING (RAECE) | 2015年
关键词：
Soil moisture; synthetic aperture radar (SAR); remote sensing; RADARSAT-2; MODIS; NDVI; WATER-CONTENT; CORN; BACKSCATTER; IMAGERY;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The objective of this paper is to find the soil moisture of the vegetated land cover using data fusion approach between C-band SAR and optical data. For which we are using RADARSAT-2 and MODIS data and Dubois model were used to evaluate the soil moisture of vegetated land cover. The principle behind this fusion approach is that the backscattering coefficient of RADARSAT-2 data contains information regarding vegetation and soil (by volume scattering from vegetation and surface scattering from underlying soil), whereas MODIS data contains information regarding vegetation. Dubois model is used because it is easy to implement on data and it gives satisfactory result. In this paper using land survey data, first we have find the relation between normalized backscattering coefficient and NDVI (Normalized difference vegetation index) and after getting relationship we have used it on test area.
引用
收藏
页码：276 / 281
页数：6
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