NDLI: Chlorophyll content retrieval from hyperspectral remote sensing imagery

Content Provider	Springer Nature Link
Author	Yang, Xiguang Yu, Ying Fan, Wenyi
Copyright Year	2015
Abstract	Chlorophyll content is the essential parameter in the photosynthetic process determining leaf spectral variation in visible bands. Therefore, the accurate estimation of the forest canopy chlorophyll content is a significant foundation in assessing forest growth and stress affected by diseases. Hyperspectral remote sensing with high spatial resolution can be used for estimating chlorophyll content. In this study, the chlorophyll content was retrieved step by step using Hyperion imagery. Firstly, the spectral curve of the leaf was analyzed, 25 spectral characteristic parameters were identified through the correlation coefficient matrix, and a leaf chlorophyll content inversion model was established using a stepwise regression method. Secondly, the pixel reflectance was converted into leaf reflectance by a geometrical-optical model (4-scale). The three most important parameters of reflectance conversion, including the multiple scattering factor (M 0 ), and the probability of viewing the sunlit tree crown (P T ) and the background (P G ), were estimated by leaf area index (LAI), respectively. The results indicated that M 0 , P T , and P G could be described as a logarithmic function of LAI, with all R 2 values above 0.9. Finally, leaf chlorophyll content was retrieved with RMSE = 7.3574 μg/cm2, and canopy chlorophyll content per unit ground surface area was estimated based on leaf chlorophyll content and LAI. Chlorophyll content mapping can be useful for the assessment of forest growth stage and diseases.
Starting Page	1
Ending Page	13
Page Count	13
File Format	PDF
ISSN	01676369
Journal	Environmental Monitoring and Assessment
Volume Number	187
Issue Number	7
e-ISSN	15732959
Language	English
Publisher	Springer International Publishing
Publisher Date	2015-06-23
Publisher Place	Cham
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Geometrical-optical model Hyperion 4-scale Leaf area index Forest scene components Environmental Monitoring/Analysis Environmental Management Ecotoxicology Atmospheric Protection/Air Quality Control/Air Pollution Ecology
Content Type	Text
Resource Type	Article
Subject	Pollution Medicine Management, Monitoring, Policy and Law

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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
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