Distinguishing Land Change from Natural Variability and Uncertainty in Central Mexico with MODIS EVI, TRMM Precipitation, and MODIS LST DataReport as inadecuate




Distinguishing Land Change from Natural Variability and Uncertainty in Central Mexico with MODIS EVI, TRMM Precipitation, and MODIS LST Data - Download this document for free, or read online. Document in PDF available to download.

1

Department of Geography and Environment, Rowan University, Glassboro, NJ 08028, USA

2

Graduate School of Geography, Clark University, 950 Main Street, Worcester, MA 01610, USA

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Clark Labs, Clark University, 950 Main Street, Worcester, MA 01610, USA

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School of Geographical Sciences and Urban Planning, Arizona State University, COOR 5628, Tempe, AZ 85287-0104, USA





*

Author to whom correspondence should be addressed.



Academic Editors: Yudong Tian, Ken Harrison, Alfredo R. Huete and Prasad S. Thenkabail

Abstract 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 a function of precipitation, temperature, and elevation. Over the seven-year period, 59.1% of the variability in EVI was explained by variability in the independent variables, with highest model performance among changing and heterogeneous land cover types, while intact forest cover demonstrated the greatest resistance to changes in temperature and precipitation. Model results were compared to an independent change uncertainty assessment, and selected regional samples of change confusion and natural variability give insight to common problems afflicting land change analyses. View Full-Text

Keywords: vegetation; variability; Land Use and Land Cover Change; precipitation; temperature; MODIS; TRMM; EVI; LST vegetation; variability; Land Use and Land Cover Change; precipitation; temperature; MODIS; TRMM; EVI; LST





Author: Zachary Christman 1,* , John Rogan 2, J. Ronald Eastman 2,3 and B. L. Turner 4

Source: http://mdpi.com/



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