Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models

Statistical and physical models have seldom been compared in studying grasslands. In this paper, both modeling approaches are investigated for mapping leaf area index (LAI) in a Mediterranean grassland (Majella National Park, Italy) using HyMap airborne hyperspectral images. We compared inversion of...

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Bibliographic Details
Published in:ISPRS journal of photogrammetry and remote sensing Vol. 66; no. 6; pp. 894 - 906
Main Authors: Darvishzadeh, Roshanak, Atzberger, Clement, Skidmore, Andrew, Schlerf, Martin
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01.11.2011
Elsevier
Subjects:
Accuracy
ancillary information
Animal, plant and microbial ecology
Applied geophysics
band vegetation indexes
Biological and medical sciences
canopy biophysical variables
crop chlorophyll content
Earth sciences
Earth, ocean, space
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
General aspects. Techniques
Grasslands
heterogeneous grassland
Hyperspectral
hyperspectral imagery
Internal geophysics
Inversions
Italy
Leaf area index
least squares
Mapping
Mapping LAI
Mediterranean grassland
Modeling
national parks
optical-properties
Partial least square regression
physical models
precision agriculture
Radiative transfer
red edge position
reflectance data
remote-sensing data
Teledetection and vegetation maps
Vegetation
Vegetation indices
Italy
Narrows
New York
Southern Europe
United States
Europe
Mapping LAI
Modeling
Mediterranean grassland
Hyperspectral
Vegetation indices
Partial least square regression
inverse problem
Mediterranean vegetation
radiative transfer
accuracy
least-squares
Offshore discharge
Image
North America
in situ
grasslands
physical models
regression
imagery
performances
Leaf area index
national parks
ISSN:0924-2716, 1872-8235
Online Access:Get full text
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Summary:Statistical and physical models have seldom been compared in studying grasslands. In this paper, both modeling approaches are investigated for mapping leaf area index (LAI) in a Mediterranean grassland (Majella National Park, Italy) using HyMap airborne hyperspectral images. We compared inversion of the PROSAIL radiative transfer model with narrow band vegetation indices (NDVI-like and SAVI2-like) and partial least squares regression (PLS). To assess the performance of the investigated models, the normalized RMSE (nRMSE) and R 2 between in situ measurements of leaf area index and estimated parameter values are reported. The results of the study demonstrate that LAI can be estimated through PROSAIL inversion with accuracies comparable to those of statistical approaches ( R 2 = 0.89, nRMSE = 0.22). The accuracy of the radiative transfer model inversion was further increased by using only a spectral subset of the data ( R 2 = 0.91, nRMSE = 0.18). For the feature selection wavebands not well simulated by PROSAIL were sequentially discarded until all bands fulfilled the imposed accuracy requirements.
Bibliography:http://dx.doi.org/10.1016/j.isprsjprs.2011.09.013
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ISSN:0924-2716
1872-8235
DOI:10.1016/j.isprsjprs.2011.09.013