Regression‐Based Estimation of Lodgepole Pine Forest Age from Landsat Thematic Mapper Data |
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| Authors: | Mark E Jakubauskas Kevin Price |
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| Institution: | 1. Kansas Applied Remote Sensing (KARS) Program , University of Kansas , 2291 Irving Hill Road, Lawrence, Kansas, 66045, U.S.A.;2. Department of Geography and Kansas Applied Remote Sensing (KARS) Program , University of Kansas , 2291 Irving Hill Road, Lawrence, Kansas, 66045, U.S.A. |
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| Abstract: | Abstract A linear regression‐based model for mapping forest age using Landsat Thematic Mapper data is evaluated in the lodgepole pine forests of Yellowstone National Park. Regression models predicting age (R2=0.62) and a logarithmic transformation of age (R2 = 0.90) used a combination of visible, near‐infrared, and middle‐infrared TM bands. Forest age maps produced using the regression method match broad‐scale patterns of forest age within the Yellowstone Central Plateau study area. Per‐pixel estimates of forest age, however, may depart substantially from actual forest age, particularly for older stands, and the maps are most appropriate for depicting regional patterns of forest age. |
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| Keywords: | Heat flow Thermal conductivity Surface temperature Intrusion Gravity anomaly NOAA-AVHRR |
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