DocumentCode :
1391526
Title :
Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content
Author :
Clevers, Jan G P W ; Kooistra, Lammert
Author_Institution :
Lab. of Geo-Inf. Sci. & Remote Sensing, Wageningen Univ., Wageningen, Netherlands
Volume :
5
Issue :
2
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
574
Lastpage :
583
Abstract :
Plant stress is often expressed as a reduction in amount of biomass or leaf area index (LAI). In addition, stress may affect the plant pigment system, influencing the photosynthetic capacity of plants. Chlorophyll content is the main driver for this primary production. The chlorophyll content is indirectly related to the nitrogen (N) content. In this paper emphasis is on estimation of canopy chlorophyll content and N content using remote sensing techniques. Hyperspectral reflectance data representing a range of canopies were simulated using the PROSAIL radiative transfer model at a 1 nm sampling interval. Various indices were tested for estimating canopy chlorophyll content. Subsequently, tests with field data were performed for sampling locations within an extensively grazed fen meadow using ASD FieldSpec measurements and within a potato field with a Cropscan radiometer for estimating canopy N content. PROSAIL simulations showed that the red-edge chlorophyll index (CIred edge) was linearly related to the canopy chlorophyll content over the full range of potential values (R2=0.94) . In contrast, highly non-linear relationships of chlorophyll content with most traditional red-edge indices were found. At the study sites the CI2 was found to be a good and linear estimator of canopy N content (no chlorophyll was measured) for both the grassland site (R2=0.77) and for the potato field (R2=0.88) . The latter number refers to plots showing no “luxury” N consumption. However, for the full potato data set, including highly fertilized plants, an exponential relationship yielded a better fit (R2=0.85) as compared to a linear fit (R2=0.65) . Currently, this approach can, e.g., be applied with MERIS and Hyperion data and with the upcoming Sentinel-2 and -3 systems.
Keywords :
geochemistry; vegetation; vegetation mapping; ASD FieldSpec measurements; Cropscan radiometer; Hyperion data; MERIS data; PROSAIL radiative transfer model; PROSAIL simulations; Sentinel-2 system; Sentinel-3 system; biomass reduction; canopy chlorophyll content; canopy nitrogen content; grazed fen meadow; hyperspectral reflectance data; hyperspectral remote sensing data; leaf area index; plant photosynthetic capacity; plant pigment system; plant stress; potato field; red-edge chlorophyll index; remote sensing techniques; Biological system modeling; Hyperspectral imaging; Indexes; Nitrogen; Vegetation mapping; Chlorophyll; PROSAIL; hyperspectral; nitrogen; remote sensing; spectroscopy;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2011.2176468
Filename :
6096423
Link To Document :
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