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Evaluation of the predictive capabilities of Landsat 7 ETM+ on 50-cm mean annual soil temperature in the Transylvanian Plain, Romania

submitted by kamada3k8 2 years and 6 months ago
Mean annual soil temperature has important implications for crops as well as for soil classification and formation. Landsat 7 Enhanced Thematic Mapper Plus (ETM+) band-6 was analysed to determine its relationship with mean annual soil temperature (MAST) at 5 cm in the Transylvanian Plain, Romania. Band-6 is available in both high and low gain formats from the United States Geological Survey; for our study only high gain was evaluated because of the increased resolution that it provides. Both of the gain levels of band-6 are measured at 1.4–12.5 µm (thermal infrared), at 6-m spatial resolution. Four different months of Landsat 7 ETM+ data were used to predict MAST and compared with 5-cm soil temperature data measured on-site with in situ sensors and data logging stations. Despite no correction for land cover differences across the plain, strong relationships were found between the Landsat-predicted and field measured MAST with a coefficient of determination (R2) for July, August, December and February of .63. Multiple regression analysis (MASTRegression) provided a weaker relationship, when compared with MASTin situ, with a coefficient of determination (R2) of .42. Significant differences existed between urban and agricultural land covers, as identified by Coordination of Information on the Environment (CORINE) data. The use of Landsat 7 ETM+ could reduce the time and expense of large field studies for determining MAST. These data could then be used for temperature models of entire regions, for a range of land management options.


Topic: Agriculture

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