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Distinguishing Land Change From Natural Variability And Uncertainty In Central Mexico With Modis Evi, Trmm Precipitation, And Modis Lst Data, Zachary Christman, John Rogan, J. Ronald Eastman, B. L. Turner Ii
Distinguishing Land Change From Natural Variability And Uncertainty In Central Mexico With Modis Evi, Trmm Precipitation, And Modis Lst Data, Zachary Christman, John Rogan, J. Ronald Eastman, B. L. Turner Ii
Zachary Christman
Precipitation and temperature enact variable influences on vegetation, impacting the type and condition of land cover, as well as the assessment of change over broad landscapes. Separating the influence of vegetative variability independent and discrete land cover change remains a major challenge to landscape change assessments. The heterogeneous Lerma-Chapala-Santiago watershed of central Mexico exemplifies both natural and anthropogenic forces enacting variability and change on the landscape. This study employed a time series of Enhanced Vegetation Index (EVI) composites from the Moderate Resolution Imaging Spectoradiometer (MODIS) for 2001–2007 and per-pixel multiple linear regressions in order to model changes in EVI as …
Evidence For Deviations From Uniform Changes In A Portuguese Watershed Illustrated By Corine Maps: An Intensity Analysis Approach, Zara Teixeira, João C. Marques, Robert Gilmore Pontius
Evidence For Deviations From Uniform Changes In A Portuguese Watershed Illustrated By Corine Maps: An Intensity Analysis Approach, Zara Teixeira, João C. Marques, Robert Gilmore Pontius
Geography
We apply a method to evaluate the strength of the evidence for deviations from uniform land change in a coastal area, in the context of Intensity Analysis. The errors in the CORINE maps at 1990 and 2006 can influence the apparent change, but the errors are unknown because error assessment of the 1990 map has never been released, while the error of the 2006 map has been checked for only some countries. The 1990 and the 2006 maps of a coastal watershed in Portugal served as the data to compute the intensities of changes among eight categories. We evaluate the …
Distinguishing Land Change From Natural Variability And Uncertainty In Central Mexico With Modis Evi, Trmm Precipitation, And Modis Lst Data, Zachary Christman, John Rogan, J. Ronald Eastman, B. L. Turner Ii
Distinguishing Land Change From Natural Variability And Uncertainty In Central Mexico With Modis Evi, Trmm Precipitation, And Modis Lst Data, Zachary Christman, John Rogan, J. Ronald Eastman, B. L. Turner Ii
School of Earth & Environment Faculty Scholarship
Precipitation and temperature enact variable influences on vegetation, impacting the type and condition of land cover, as well as the assessment of change over broad landscapes. Separating the influence of vegetative variability independent and discrete land cover change remains a major challenge to landscape change assessments. The heterogeneous Lerma-Chapala-Santiago watershed of central Mexico exemplifies both natural and anthropogenic forces enacting variability and change on the landscape. This study employed a time series of Enhanced Vegetation Index (EVI) composites from the Moderate Resolution Imaging Spectoradiometer (MODIS) for 2001–2007 and per-pixel multiple linear regressions in order to model changes in EVI as …
Distinguishing Land Change From Natural Variability And Uncertainty In Central Mexico With Modis Evi, Trmm Precipitation, And Modis Lst Data, Zachary Christman, John Rogan, J. Ronald Eastman, B. L. Turner
Distinguishing Land Change From Natural Variability And Uncertainty In Central Mexico With Modis Evi, Trmm Precipitation, And Modis Lst Data, Zachary Christman, John Rogan, J. Ronald Eastman, B. L. Turner
Geography
Precipitation and temperature enact variable influences on vegetation, impacting the type and condition of land cover, as well as the assessment of change over broad landscapes. Separating the influence of vegetative variability independent and discrete land cover change remains a major challenge to landscape change assessments. The heterogeneous Lerma-Chapala-Santiago watershed of central Mexico exemplifies both natural and anthropogenic forces enacting variability and change on the landscape. This study employed a time series of Enhanced Vegetation Index (EVI) composites from the Moderate Resolution Imaging Spectoradiometer (MODIS) for 2001-2007 and per-pixel multiple linear regressions in order to model changes in EVI as …