MONITORING SOIL MOISTURE OVER WHEAT AND SOYBEAN FIELDS DURING GROWING SEASON USING SYNTHETIC APERTURE RADAR

被引：0

作者：

Xing, Minfeng ^{[1
,2
]}

Wang, Jinfei ^{[2
]}

Shang, Jiali ^{[3
]}

He, Binbin ^{[1
]}

Shan, Bo ^{[4
]}

Huang, Xiaodong ^{[2
]}

Qian, Jiang ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Sichuan, Peoples R China

[2] Univ Western Ontario, Dept Geog, London, ON N6A 5C2, Canada

[3] Agr & Agri Food Canada, 960 Carling Ave, Ottawa, ON K1A 0C6, Canada

[4] A&L Canada Labs Inc, 2136 Jetstream Rd, London, ON N5V 3P5, Canada

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

基金：

中国国家自然科学基金;

关键词：

soil moisture; Radarsat-2; SAR; Dubois; VEGETATION;

D O I：

10.1109/IGARSS.2016.7729788

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper examines the potential of Radarsat-2 C-band synthetic aperture radar (SAR) data for quantifying the spatial variability of soil moisture during the agriculture growth period. To remove the effect of crop within total backscattering, a method that adequately represents the scattering behavior of vegetation-covered area by defining the scattering of the vegetation and underlying soil was developed. The Dubois model was employed to determine the backscattering from the underlying soil. The modified Water Cloud Model was used to reduce the effect of backscattering caused by the vegetation. Soil moisture was derived by the inversion scheme which uses of the dual polarizations (HH and VV) available from the quad polarization Radarsat-2 data.

引用

页码：3047 / 3050

页数：4

共 50 条

[1] Retrieving Soil Moisture Over Soybean Fields During Growing Season Through Polarimetric Decomposition
Xiao, Tengfei
Xing, Minfeng
He, Binbin
Wang, Jinfei
Shang, Jiali
Huang, Xiaodong
Ni, Xiliang
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 1132 - 1145
[2] Estimating Soil Moisture Over Winter Wheat Fields During Growing Season Using Machine-Learning Methods
Chen, Lin
Xing, Minfeng
He, Binbin
Wang, Jinfei
Shang, Jiali
Huang, Xiaodong
Xu, Min
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 14 : 3706 - 3718
[3] 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)
[4] Using multi-polarization C- and L-band synthetic aperture radar to estimate biomass and soil moisture of wheat fields
Hosseini, Mehdi
McNairn, Heather
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 58 : 50 - 64
[5] Retrieval of Surface Soil Moisture over Wheat Fields during Growing Season Using C-Band Polarimetric SAR Data
Goita, Kalifa
Magagi, Ramata
Beauregard, Vincent
Wang, Hongquan
REMOTE SENSING, 2023, 15 (20)
[6] Retrieving Surface Soil Moisture over Wheat and Soybean Fields during Growing Season Using Modified Water Cloud Model from Radarsat-2 SAR Data
Xing, Minfeng
He, Binbin
Ni, Xiliang
Wang, Jinfei
An, Gangqiang
Shang, Jiali
Huang, Xiaodong
REMOTE SENSING, 2019, 11 (16)
[7] Soil moisture retrieval over agricultural fields through integration of synthetic aperture radar and optical images
Mardan, Milad
Ahmadi, Salman
GISCIENCE & REMOTE SENSING, 2021, 58 (08) : 1276 - 1299
[8] Seven Years of Advanced Synthetic Aperture Radar (ASAR) Global Monitoring (GM) of Surface Soil Moisture over Africa
Dostalova, Alena
Doubkova, Marcela
Sabel, Daniel
Bauer-Marschallinger, Bernhard
Wagner, Wolfgang
REMOTE SENSING, 2014, 6 (08) : 7683 - 7707
[9] Soil moisture modeling over agricultural fields using C-band synthetic aperture radar and modified Dubois model
Munda, Manoj Kumar
Parida, Bikash Ranjan
APPLIED GEOMATICS, 2023, 15 (01) : 97 - 108
[10] Soil moisture modeling over agricultural fields using C-band synthetic aperture radar and modified Dubois model
Manoj Kumar Munda
Bikash Ranjan Parida
Applied Geomatics, 2023, 15 : 97 - 108

← 1 2 3 4 5 →