NDLI: Planting date estimation in semi-arid environments based on Ku-band radar scatterometer data

Content Provider	IEEE Xplore Digital Library
Author	Ringelmann, N. Scipal, K. Bartalis, Z. Wagner, W.
Copyright Year	2004
Description	Author affiliation: Inst. of Photogrammetry & Remote Sensing, Vienna Univ. of Technol. (Ringelmann, N.; Scipal, K.; Bartalis, Z.; Wagner, W.)
Abstract	A method to determine planting dates in semi-arid regions is presented, based on $K_{u}-band$ spaceborne scatterometer data. The planting date analysis was performed for Mali, a region with a broad range of vegetation cover with tropical forest in the south and desert in the north. The Ku-band data was acquired by the Sea Winds scatterometer onboard the QuikSCAT satellite during the time from January 2000 to December 2003. Climate data from meteorological stations was compared with scatterometer time series of data colocated from a circular area of a specific size. The comparison shows that the evolution of the backscatter signal is highly correlated with the vegetation cycle triggered in turn by the rain season. An accurate date for the onset of the growing season and therefore a basic planting date can be determined from noise-filtered backscatter time series using a simple threshold method. The temporal variations of the backscatter time series are mainly caused by vegetation growth and changes of surface soil moisture. An increased backscatter signal indicates therefore more and more sufficient growing conditions. For the estimation of the contribution of surface soil moisture, the backscatter was additionally compared with in situ data from test sites within the Duero basin in Spain, covered by the soil moisture measurement network of the University of Salamanca. The comparison showed a significant influence of surface soil moisture on the microwave backscatter
Starting Page	1288
Ending Page	1291
File Size	428773
Page Count	4
File Format	PDF
ISBN	0780387422
DOI	10.1109/IGARSS.2004.1368652
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar scattering Radar measurements Spaceborne radar Backscatter Vegetation Surface soil Moisture Performance analysis Satellites Meteorology
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

A method to retrieve soil moisture using ERS Scatterometer data

Soil moisture inversion from X-band SAR and scatterometer data of vegetation fields

Land-surface parameters estimation from ERS Wind Scatterometer: a case study in China

Dependence of X-, C-, and L-band measurements to soil moisture on vegetated fields. A comparison of airborne scatterometer and SAR data

Measurement of scattering properties of vegetation at Ka-band by 35GHhz polarimetric scatterometer

The global soil moisture archive 1992-2000 from ERS scatterometer data: first results

Comparison of Measurements and Theory for Backscatter from Vegetation-Covered Soil on the Konza Prairie

Estimation of bare surface soil moisture with L-band multi-polarization radar measurements

Status of the Metop ASCAT soil moisture product

Planting date estimation in semi-arid environments based on Ku-band radar scatterometer data

Similar Documents

A method to retrieve soil moisture using ERS Scatterometer data

Soil moisture inversion from X-band SAR and scatterometer data of vegetation fields

Land-surface parameters estimation from ERS Wind Scatterometer: a case study in China

Dependence of X-, C-, and L-band measurements to soil moisture on vegetated fields. A comparison of airborne scatterometer and SAR data

Measurement of scattering properties of vegetation at Ka-band by 35GHhz polarimetric scatterometer

The global soil moisture archive 1992-2000 from ERS scatterometer data: first results

Comparison of Measurements and Theory for Backscatter from Vegetation-Covered Soil on the Konza Prairie

Estimation of bare surface soil moisture with L-band multi-polarization radar measurements

Status of the Metop ASCAT soil moisture product

Planting date estimation in semi-arid environments based on Ku-band radar scatterometer data