Open Access

ARTICLE

Observed Impacts of Climate Variability on LULC in the Mesopotamia Region

Muntaha Alzubade^1,*, Orkan Ozcan¹, Nebiye Musaoglu¹, Murat Türkeş²

1 Istanbul Technical University, Istanbul, 3400, Turkey
2 Bogazici University, Istanbul, 3400, Turkey

* Corresponding Author: Muntaha Alzubade. Email:

Computers, Materials & Continua 2021, 67(2), 2255-2269. https://doi.org/10.32604/cmc.2021.013565

Received 30 August 2020; Accepted 19 December 2020; Issue published 05 February 2021

Abstract

Remote sensing analysis techniques have been investigated extensively, represented by a critical vision, and are used to advance our understanding of the impacts of climate change and variability on the environment. This study aims to find a means of analysis that relies on remote sensing techniques to demonstrate the effects of observed climate variability on Land Use and Land Cover (LULC) of the Mesopotamia region, defined as a historical region located in the Middle East. This study employed the combined analysis of the Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST), and two statistical analysis methods (Pearson Correlation Analysis, r; Coefficient of Determination, R²), which were applied using the Moderate Resolution Imaging Spectroradiometer data and observed surface meteorological data from 2000 to 2018. The resulting NDVI images show five LULC classes with NDVI values varying between −0.3 and 0.9. Furthermore, changes in the classified LULC area were compared statistically to those in NDVI values, where a positive relationship was found. Also, when the LST values and temperature are more extreme, the NDVI values were found to be smaller, suggesting a decrease in the density of vegetation cover. A negative correlation was found through Pearson correlation analysis (r = ~−0.64), indicating a direct effect of increased temperatures on LULC. Indeed, this negative relationship between NDVI and LST was proven using R² values, where a two-dimensional scatter plot analysis showed that R² ranges from 0.54 to 0.9. Ultimately, the results obtained from this study reveal changes that may have many prominent effects in the field of LULC classification, accelerating the implications of climate change and variability factors.

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