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
相关论文
共 50 条
  • [21] Multitemporal RADARSAT-2 Polarimetric SAR Data for Urban Land-Cover Mapping
    Gao, Liang
    Ban, Yifang
    SIXTH INTERNATIONAL SYMPOSIUM ON DIGITAL EARTH: DATA PROCESSING AND APPLICATIONS, 2010, 7841
  • [22] Modeling and Mapping Soil Moisture of Plateau Pasture Using RADARSAT-2 Imagery
    Chai, Xun
    Zhang, Tingting
    Shao, Yun
    Gong, Huaze
    Liu, Long
    Xie, Kaixin
    REMOTE SENSING, 2015, 7 (02): : 1279 - 1299
  • [23] Using the AIEM and Radarsat-2 SAR to Retrieve Bare Surface Soil Moisture
    Yin, Chengshen
    Liu, Quanming
    Zhang, Yin
    WATER, 2024, 16 (11)
  • [24] Use of fully polarimetric RADARSAT-2 data to retrieve soil moisture of periodic surfaces
    Jiang, Q. (jiangqigang@jlu.edu.cn), 1600, Chinese Society of Agricultural Engineering (29):
  • [25] LANDSLIDE PREDICTION USING SOIL MOISTURE ESTIMATION DERIVED FROM POLARIMETRIC RADARSAT-2 DATA AND SRTM
    Luo, Shiyu
    Sarabandi, Kamal
    Tong, Ling
    Pierce, Leland
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 5386 - 5389
  • [26] ESTIMATING SOIL MOISTURE IN THE AGRICULTURAL AREAS USING RADARSAT-2 QUAD-POLARIZATION SAR DATA
    Ma, Jianwei
    Huang, Shifeng
    Li, Jiren
    Li, Xiaotao
    Song, Xiaoning
    Leng, Pei
    Sun, Yayong
    Lei, Tianjie
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 3031 - 3034
  • [27] Effect of sub-pixel variability and land-cover on soil moisture retrieval from RADARSAT-1 data
    Lakhankar, Tarendra
    Ghedira, Hosni
    Azar, Amir
    Khanbilvardi, Reza
    2006 IEEE MICRORAD, 2006, : 187 - +
  • [28] Implementation of a multiangle soil moisture retrieval model using RADARSAT-2 imagery over arid Juyanze, northwest China
    Yang, Liping
    Li, Yanfei
    Li, Qi
    Sun, Xiaohui
    Kong, Jinling
    Wang, Le
    JOURNAL OF APPLIED REMOTE SENSING, 2017, 11
  • [29] Monitoring Soil Moisture to Support Risk Reduction for the Agriculture Sector Using RADARSAT-2
    McNairn, Heather
    Merzouki, Amine
    Pacheco, Anna
    Fitzmaurice, John
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (03) : 824 - 834
  • [30] Estimating Soil Moisture over Winter Wheat Fields during Growing Season Using RADARSAT-2 Data
    Chen, Lin
    Xing, Minfeng
    He, Binbin
    Wang, Jinfei
    Xu, Min
    Song, Yang
    Huang, Xiaodong
    REMOTE SENSING, 2022, 14 (09)
12345