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    • Journal of Range Management, Volume 55 (2002)
    • Journal of Range Management, Volume 55, Number 4 (July 2002)
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    Short-term monitoring of rangeland forage conditions with AVHRR imagery

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    Author
    Thoma, D. P.
    Bailey, D. W.
    Long, D. S.
    Nielsen, G. A.
    Henry, M. P.
    Breneman, M. C.
    Montagne, C.
    Issue Date
    2002-07-01
    Keywords
    remote sensing
    hill grasslands
    satellite imagery
    multispectral imagery
    advanced very high resolution radiometer
    short-grass praire
    range condition
    estimation
    nitrogen content
    prairies
    biomass
    seasonal variation
    Montana
    forage
    NDVI
    biomass
    nitrogen
    regional
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    Citation
    Thoma, D. P., Bailey, D. W., Long, D. S., Nielsen, G. A., Henry, M. P., Breneman, M. C., & Montagne, C. (2002). Short-term monitoring of rangeland forage conditions with AVHRR imagery. Journal of Range Management, 55(4), 383-389.
    Publisher
    Society for Range Management
    Journal
    Journal of Range Management
    URI
    http://hdl.handle.net/10150/643673
    DOI
    10.2307/4003475
    10.2458/azu_jrm_v55i4_thoma
    Additional Links
    https://rangelands.org/
    Abstract
    A study was conducted to determine the potential of using Advanced Very High Resolution Radiometer (AVHRR) imagery to monitor short-term changes in rangeland forage conditions on a regional scale. Forage biomass and nitrogen concentration were estimated at 6 study sites throughout a typical grazing season (April to October). Study sites were located in northern and southern Montana in areas classified as foothills grassland and shortgrass prairie. Normalized Difference Vegetation Index (NDVI) values from AVHRR imagery (1 km pixels) were used to predict live biomass, dead standing biomass, total biomass, nitrogen (N) concentration and standing N. Values of the NDVI were correlated (r < 0.4, P < 0.01) to live, dead, and total biomass estimates and standing N, but were not correlated to N concentration (r = 0.04, P = 0.8). Relationships between NDVI and vegetative attributes were similar (P > 0.05) for all 6 study sites, which indicates that NDVI could be used to predict forage abundance at multiple locations and at variable dates. Using simple linear regression, NDVI accounted for 63% of the variation in live and total biomass, 18% of the variation in dead biomass, 66% of the variation in standing N, but < 1% of the variation in N concentration. The NDVI obtained from AVHRR imagery was a good predictor of forage abundance as measured by live, dead and total biomass as well as standing N, but it was not related to forage quality as measured by N or crude protein concentration. On a regional basis, land managers could use AVHRR-NDVI values to identify areas with high or low levels of forage abundance that may result from factors such as drought, variable precipitation patterns, or uneven grazing.
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2307/4003475
    Scopus Count
    Collections
    Journal of Range Management, Volume 55, Number 4 (July 2002)

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