NDLI: Leaf Area Index retrieval from remotely sensed data: Scaling effect and propagation mechanisms

Content Provider	IEEE Xplore Digital Library
Author	Hua Wu Bo-Hui Tang Chuanrong Li Zhao-Liang Li
Copyright Year	2010
Description	Author affiliation: Academy of Opto-Electronics, Chinese Academy of Sciences, China (Chuanrong Li) \|\| State Key Laboratory of Resources and Environment Information System, Institute of Geographical, Sciences and Natural Resources Research, CAS, Beijing, 100101, China (Hua Wu; Bo-Hui Tang; Zhao-Liang Li)
Abstract	This paper makes an attempt to address the scaling problem of Leaf Area Index (LAI) and to analyze the propagation of scaling effect of LAI. On the basis of the Taylor series expansion and following the general scaling procedure, it is demonstrated that the magnitude of the scaling effect is the product of the degree of the non-linearity of the retrieval model and the spatial heterogeneity of input variables involved in this model. Finally, a scaling correction model is proposed to correct for the scaling effect of LAI. The validation using the simulated data indicates that the proposed scaling correction model of LAI gives promising accuracy if the spatial heterogeneity is well characterized by its wavelet variance. The RMSE and relative error of retrieved LAI induced by the scale effect can be greatly reduced after scaling correction. The scaling propagation analysis of LAI reveals that the scaling effects caused by several non-linear components may compensate for each other, which would enhance our confidence in using LAI product over heterogeneity areas.
Starting Page	2668
Ending Page	2671
File Size	210932
Page Count	4
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5653438
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data models Analytical models Remote sensing Biological system modeling Indexes Pixel Estimation Model non-linearity Leaf area index Scaling Scaling effect Spatial heterogeneity
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

Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index

Enhanced Watershed Modeling by Incorporating Remotely Sensed Evapotranspiration and Leaf Area Index

Remote sensing of leaf area index: enhanced retrieval from close-range and remotely sensed optical observations

Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin

Influence of Spatial Heterogeneity and Scaling on Leaf Area Index Estimates from Remote Sensing Data

Retrieval of conifer leaf area index based on the optical physical model

Models for estimating Leaf Area Index of different crops using hyperspectral data

The spatial scaling effect of continuous canopy Leaves Area Index retrieved by remote sensing

Estimation of leaf area index (LAI) of South Africa from MODIS imager by inversion of PROSAIL radiative transfer model

Leaf Area Index retrieval from remotely sensed data: Scaling effect and propagation mechanisms

Similar Documents

Evaluation of Three Techniques for Correcting the Spatial Scaling Bias of Leaf Area Index

Enhanced Watershed Modeling by Incorporating Remotely Sensed Evapotranspiration and Leaf Area Index

Remote sensing of leaf area index: enhanced retrieval from close-range and remotely sensed optical observations

Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin

Influence of Spatial Heterogeneity and Scaling on Leaf Area Index Estimates from Remote Sensing Data

Retrieval of conifer leaf area index based on the optical physical model

Models for estimating Leaf Area Index of different crops using hyperspectral data

The spatial scaling effect of continuous canopy Leaves Area Index retrieved by remote sensing

Estimation of leaf area index (LAI) of South Africa from MODIS imager by inversion of PROSAIL radiative transfer model

Leaf Area Index retrieval from remotely sensed data: Scaling effect and propagation mechanisms