NDLI: Vegetation index response to leaf area index and fractional vegetated area over cotton

Content Provider	IEEE Xplore Digital Library
Author	Mauget, S.A. Upchurch, D.R.
Copyright Year	2000
Description	Author affiliation: Agric. Res. Service, Lubbock, TX, USA (Mauget, S.A.)
Abstract	In an agricultural setting vegetation indices should accurately track the state of crop growth under conditions in which the radiometer field of view includes both active vegetative, senesced, and non-vegetative components. Ideally, they should also do so regardless of variation in viewing and background conditions. The authors field evaluate 5 vegetation indices based on their ability to respond linearly to two distinct rates of crop growth. The indices resistance to moisture related and site-to-site variation in soil reflectance were also evaluated, but those results are not discussed in detail. Thus of the general criteria outlined above only resistance to variation in viewing conditions are not considered, as no attempt has been made to test the effects of solar or viewing angle, or resistance to atmospheric distortion. Index evaluation here is based on the response to the development of fractional vegetated area (FVA) and Leaf Area Index (LAI) measured over cotton (Gossypium hirsutum L.) plots grown under both irrigated and dryland conditions. Their emphasis on FVA and LAI is based on the central role of leaf area in both crop growth and remote sensing. LAI has traditionally been cited as a key property influencing a canopy's cross-sectional area to incident photosynthetically active radiation (PAR), and thus its ability to assimilate light energy into biomass. During the remote sensing era LAI has been widely considered as the biophysical variable linking canopy reflectances and vegetation index (VI) values to absorbed PAR (APAR) and agricultural yield. Many studies have compared LAI variation with that of the Normalized Difference Vegetation Index (NDVI).
Starting Page	372
Ending Page	374
File Size	299355
Page Count	3
File Format	PDF
ISBN	0780363590
DOI	10.1109/IGARSS.2000.860523
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vegetation Crops Immune system Remote sensing Radiometry Moisture Soil Reflectivity Testing Area measurement
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

Leaf area index inversion and validation for cotton in Xinjiang based on the DMC remotely sensed Mini-satellite data

Estimation and validation of leaf area index time series for crops on 5M scale from space

Estimating Leaf Area Index from Remotely Sensed Data

Prediction of soil irrigation demanding condition under vegetation covering by proper vegetation index

Algorithm of Leaf Area Index product for HJ-CCD over Heihe River Basin

Soil Moisture Variations Monitoring Using New Microwave Soil Moisture Index (MSMI)

Estimating large area wheat evapotranspiration from remote sensing data

Estimating Phytomass Productivity Of Weed Species Associated With Young Pine Plantations Utilizing Remotely Sensed Reflectance Data

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

Vegetation index response to leaf area index and fractional vegetated area over cotton

Similar Documents

Leaf area index inversion and validation for cotton in Xinjiang based on the DMC remotely sensed Mini-satellite data

Estimation and validation of leaf area index time series for crops on 5M scale from space

Estimating Leaf Area Index from Remotely Sensed Data

Prediction of soil irrigation demanding condition under vegetation covering by proper vegetation index

Algorithm of Leaf Area Index product for HJ-CCD over Heihe River Basin

Soil Moisture Variations Monitoring Using New Microwave Soil Moisture Index (MSMI)

Estimating large area wheat evapotranspiration from remote sensing data

Estimating Phytomass Productivity Of Weed Species Associated With Young Pine Plantations Utilizing Remotely Sensed Reflectance Data

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

Vegetation index response to leaf area index and fractional vegetated area over cotton