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Title: Regional biomass and leaf-area estimates derived from satellite imagery as inputs to spatial trace-gas flux models for arctic tundra

Abstract

Reflectance spectra, leaf area index (LAI), and live biomass measurements were collected for 60 plots near Toolik Lake and Imnavait Creek, Alaska during July and August, 1993. Normalized difference vegetation indices (NDVI) were calculated from the reflectance spectra. NDVI was found to be highly correlated to both LAI and biomass. These relationships have been seen in temperate ecosystems, but have never been tested in Arctic tundra previous to this study. In addition, a clear relationship is seen between NDVI values and pH and moisture. Acidic plots have much higher NDVI values than non-acidic plots, while moist plots have high NDVI values relative to dry and wet plots. The average field NDVI measurements for major physiognomic categories were compared to average NDVI values for the same categories derived from a SPOT multispectral satellite image of the area. These values were also found to be highly correlated. However, field NDVI values were consistently about 40% higher than SPOT NDVI values. Possible explanations for this consistent trend include effects of low sun angle in the Arctic in combination with relatively high view angle of the SPOT sensor. Using the regression equations for the above relationships, biomass and LAI images were calculated from themore » SPOT image. The resulting images show expected trends in the LAI and biomass across the landscape. The image of biomass will be used as an input to a spatial model of methane emissions for the Alaskan Arctic. Another key input variable to the methane model will be soil moisture. Alternative image processing methods and/or radar images will be used to derive this important variable.« less

Authors:
; ; ;  [1]
  1. Univ. of Colorado, Boulder, CO (United States)
Publication Date:
OSTI Identifier:
7266083
Report Number(s):
CONF-940894-
Journal ID: ISSN 0012-9623; CODEN: BECLAG
Resource Type:
Conference
Journal Name:
Bulletin of the Ecological Society of America; (United States)
Additional Journal Information:
Journal Volume: 75:2; Conference: Annual Ecological Society of America (ESA) meeting: science and public policy, Knoxville, TN (United States), 7-11 Aug 1994; Journal ID: ISSN 0012-9623
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; METHANE; ECOLOGICAL CONCENTRATION; TUNDRA; PLANT GROWTH; ALASKA; BIOMASS; EVALUATION; IMAGE PROCESSING; MATHEMATICAL MODELS; ALKANES; DEVELOPED COUNTRIES; ENERGY SOURCES; GROWTH; HYDROCARBONS; NORTH AMERICA; ORGANIC COMPOUNDS; PROCESSING; RENEWABLE ENERGY SOURCES; USA; 540120* - Environment, Atmospheric- Chemicals Monitoring & Transport- (1990-)

Citation Formats

Shippert, M M, Walker, D A, Auerbach, N A, and Lewis, B E. Regional biomass and leaf-area estimates derived from satellite imagery as inputs to spatial trace-gas flux models for arctic tundra. United States: N. p., 1994. Web.
Shippert, M M, Walker, D A, Auerbach, N A, & Lewis, B E. Regional biomass and leaf-area estimates derived from satellite imagery as inputs to spatial trace-gas flux models for arctic tundra. United States.
Shippert, M M, Walker, D A, Auerbach, N A, and Lewis, B E. 1994. "Regional biomass and leaf-area estimates derived from satellite imagery as inputs to spatial trace-gas flux models for arctic tundra". United States.
@article{osti_7266083,
title = {Regional biomass and leaf-area estimates derived from satellite imagery as inputs to spatial trace-gas flux models for arctic tundra},
author = {Shippert, M M and Walker, D A and Auerbach, N A and Lewis, B E},
abstractNote = {Reflectance spectra, leaf area index (LAI), and live biomass measurements were collected for 60 plots near Toolik Lake and Imnavait Creek, Alaska during July and August, 1993. Normalized difference vegetation indices (NDVI) were calculated from the reflectance spectra. NDVI was found to be highly correlated to both LAI and biomass. These relationships have been seen in temperate ecosystems, but have never been tested in Arctic tundra previous to this study. In addition, a clear relationship is seen between NDVI values and pH and moisture. Acidic plots have much higher NDVI values than non-acidic plots, while moist plots have high NDVI values relative to dry and wet plots. The average field NDVI measurements for major physiognomic categories were compared to average NDVI values for the same categories derived from a SPOT multispectral satellite image of the area. These values were also found to be highly correlated. However, field NDVI values were consistently about 40% higher than SPOT NDVI values. Possible explanations for this consistent trend include effects of low sun angle in the Arctic in combination with relatively high view angle of the SPOT sensor. Using the regression equations for the above relationships, biomass and LAI images were calculated from the SPOT image. The resulting images show expected trends in the LAI and biomass across the landscape. The image of biomass will be used as an input to a spatial model of methane emissions for the Alaskan Arctic. Another key input variable to the methane model will be soil moisture. Alternative image processing methods and/or radar images will be used to derive this important variable.},
doi = {},
url = {https://www.osti.gov/biblio/7266083}, journal = {Bulletin of the Ecological Society of America; (United States)},
issn = {0012-9623},
number = ,
volume = 75:2,
place = {United States},
year = {Wed Jun 01 00:00:00 EDT 1994},
month = {Wed Jun 01 00:00:00 EDT 1994}
}

Conference:
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