NDLI: Retrieving Surface Soil Moisture in Cotton Fields Using ASAR and MODIS Data Without the Auxiliary Data in SIHU Region, Hubei Province, China

Content Provider	IEEE Xplore Digital Library
Author	Xiong Qin-Xue Yang-Yang You
Copyright Year	2013
Description	Author affiliation: Eng. Res. Center of Wetland Agric. in the Middle Reaches of the Yangtze, Yangtze Univ., Jingzhou, China (Xiong Qin-Xue; Yang-Yang You)
Abstract	Surface soil moisture is variable, and it plays a crucial role in many processes in the soil-atmosphere interface. The knowledge of the surface soil moisture is very helpful for retrieving the spatial-temporal distribution of water-logging of agriculture field. The capability of microwave remote sensing has been proven that due to its all-weather, day-round measurement and sensitive backscattering coefficient to soil water content, it can derive quantitative soil moisture information from active and passive sensor systems at various spatial resolutions. Soil surface roughness and vegetation of agriculture field are also two main factors influenced on radar backscattering coefficient. So many models have been developed to calculate surface soil moisture, for example, Integral Equation Model (IEM) for bare field, the semi-empirical water cloud model and a novel method for agriculture field. However, these models need too many parameters. It is difficult to use them easily and widely. The paper retrieved the surface soil moisture in cotton fields using 79 ASAR GM images data from 2007-2011 during cotton growing periods. The auxiliary parameters were calculated using MODIS data. The main method was following: (1) got the spatial distribution of land-use classification using crop time series characteristics and MODIS data, (2) corrected the matrix pixels data of backscattering coefficient using the land-use classification data, (3) separated backscattering coefficient influenced by soil and vegetation using the semi-empirical water-cloud model and calculated the model's parameters by ASAR GM data under water saturation state using non-linear statistic mode and the vegetation water content from NDVI data calculated by MODIS data, (4) calculated soil surface moisture by ASAR GM time-series data using the corrected soil backscattering coefficient. This method does not require any auxiliary data beforehand. Compared the method value with the measured data sitting on cotton field in SIHU region, the results indicated that this method was corrected (R2=0.779 n=25). And the spatial temporal distribution of surface soil moisture during cotton growing periods was calculated.
Sponsorship	Central South Univ.
Starting Page	963
Ending Page	969
File Size	840989
Page Count	7
File Format	PDF
ISBN	9781467356527
DOI	10.1109/ICMTMA.2013.240
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mechatronics Automation soil surface moisture remote sensing retrieval ASAR GM data
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in