Preprint Article Version 1 This version is not peer-reviewed

Global Spatial Relationship between Land Use Land Cover and Land Surface Temperature

Version 1 : Received: 1 January 2020 / Approved: 3 January 2020 / Online: 3 January 2020 (05:03:05 CET)

How to cite: Rasul, A. Global Spatial Relationship between Land Use Land Cover and Land Surface Temperature. Preprints 2020, 2020010023 (doi: 10.20944/preprints202001.0023.v1). Rasul, A. Global Spatial Relationship between Land Use Land Cover and Land Surface Temperature. Preprints 2020, 2020010023 (doi: 10.20944/preprints202001.0023.v1).

Abstract

Land Surface Temperature (LST) and Land Use Land Cover (LULC) are the principal aspects of climate and environment studies. The object of the study is to assess spatial relationship between LST and remote sensing LULC indices at the global and continental scale. Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua daytime LST and eight LULC MODIS indices of 2018 prepared and processed using Earth Engine Code Editor. R squared and significance of the relationship values of randomly selected points computed in R program. The research observed the relationship between examined indices and LST is significant at the 0.001 level. Normalized Difference Water Index (NDWI) and Normalized Difference Snow Index (DSI) are the dominant drivers of LST in the world, Asia and North America. In Australia and Africa, Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) are the dominant drivers of LST. Albedo and Normalized Difference Soil Index (NDSI) have superior in Central America. In South America and Europe, the dominant driver of LST is NDWI. Relationship between albedo and LST is moderate inverse on a global scale. Observed relationship between LST and examined vegetation indices is positive in Europe and North America while inverse in Australia and Africa. All observed relationship between Normalized Difference Built-up Index (NDBI) and LST are positive. Association observed between NDSI and LST is positive in Australia, Africa and Central America.

Subject Areas

Land Use Land Cover (LULC); Land Surface Temperature (LST); Google Earth Engine (GEE); relationship; remote sensing indices; MODIS; global

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