NDLI: A semi-empirical backscattering model for estimation of leaf area index (LAI) of rice in southern China

Content Provider	IEEE Xplore Digital Library
Author	Jinsong Chen Hui Lin Aixia Liu Yun Shao Limin Yang
Copyright Year	2007
Description	Author affiliation: China Land Surveying & Planning Inst., Hong Kong (Jinsong Chen)
Abstract	Most paddy rice in southern China grows in warm, humid and rainy areas where it is hard to acquire optical remote sensing data. In this study, a semi-empirical backscattering model was proposed to estimate leaf area index (LAI) of rice in the area using ENVISAT Advanced Synthetic Aperture Radar (ASAR) alternating polarization data. Ground measurements of LAI, water content and height of rice in the test site were collected and the model fitted at the same time as the acquisition of ASAR data. LAI estimated from the model was compared with ground measurements to evaluate the accuracy of the model. The results showed that the model provides a promising alternative to optical remote sensing data for predicting LAI of rice in southern China.
Starting Page	3667
Ending Page	3680
File Size	2745498
Page Count	14
File Format	PDF
ISBN	9781424412112
DOI	10.1109/IGARSS.2007.4423641
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Backscatter Testing Remote monitoring Crops Synthetic aperture radar Adaptive optics Optical sensors Optical scattering Laboratories Time measurement leaf area index (LAI) Rice backscattering model ENVISAT ASAR
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

Inversion of leaf area index for invasive plant using ENVISAT ASAR

Monitoring Sugarcane Growth Using ENVISAT ASAR Data

Application of ENVISAT ASAR Data in Mapping Rice Crop Growth in Southern China

Integration of MERIS and ASAR Data for LAI Estimation of Wheat Fields

Rice Mapping and Monitoring Using ENVISAT ASAR Data

Characterizing L-Band Scattering of Paddy Rice in Southeast China With Radiative Transfer Model and Multitemporal ALOS/PALSAR Imagery

Remote sensing of burned area: A fuzzy-based framework for joint processing of optical and microwave data

Snow covered area retrieval using Envisat ASAR wideswath in mountainous areas

Use of optical and microwave remote sensed data to estimate leaf area index spatial variability (∗).

A semi-empirical backscattering model for estimation of leaf area index (LAI) of rice in southern China

Similar Documents

Inversion of leaf area index for invasive plant using ENVISAT ASAR

Monitoring Sugarcane Growth Using ENVISAT ASAR Data

Application of ENVISAT ASAR Data in Mapping Rice Crop Growth in Southern China

Integration of MERIS and ASAR Data for LAI Estimation of Wheat Fields

Rice Mapping and Monitoring Using ENVISAT ASAR Data

Characterizing L-Band Scattering of Paddy Rice in Southeast China With Radiative Transfer Model and Multitemporal ALOS/PALSAR Imagery

Remote sensing of burned area: A fuzzy-based framework for joint processing of optical and microwave data

Snow covered area retrieval using Envisat ASAR wideswath in mountainous areas

Use of optical and microwave remote sensed data to estimate leaf area index spatial variability (∗).

A semi-empirical backscattering model for estimation of leaf area index (LAI) of rice in southern China