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Journals / International Journal of Engineering and Geosciences / 2019 / Cilt: 4 - Sayı: 3

Land surface temperature anomalies in response to changes in forest cover

Orhan GÜNDÜZ
Mohamed NAJAR
Souad GHOUZLANE
Behnam KHORRAMI
Nilanchal PATEL
Pages
149–156
Publication Date
2022-10-19
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the results, a descending trend in forest cover with a total 2560 ha decline in area and an ascending trend of about 4 degrees rise in surface temperature values on both forest and non-forest areas were detected in the study area from 1984 to 2017.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Land cover/use changes specially the forest cover changes affect the local surface temperature (LST) of the earth.
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Key Findings & Data:According to the results, a descending trend in forest cover with a total 2560 ha decline in area and an ascending trend of about 4 degrees rise in surface temperature values on both forest and non-forest areas were detected in the study area from 1984 to 2017.
💡
Conclusion & Impact:It was also found that the deforested areas of the study area correlate with the LST rise spatially with a very high correlation (0.98) from which a tangible interaction of the parameters can be inferred.
🔬Design:Research Article
📍Scope:2017 Verileri
⚙️Variables:Iran · Land Surface Temperature · Sardasht

Abstract

Land cover/use changes specially the forest cover changes affect the local surface temperature (LST) of the earth. In this study, a combination of remote sensing and GIS techniques was used to scrutinize the interactions between LST anomalies and deforestation in Sardasht County, NW Iran. The land cover/use change layers of the study area were extracted from Landsat satellite imagery based on Binary Encoding classification and change detection technique. The radiometric correction analysis were done for each Landsat image to derive LST map layers. According to the results, a descending trend in forest cover with a total 2560 ha decline in area and an ascending trend of about 4 degrees rise in surface temperature values on both forest and non-forest areas were detected in the study area from 1984 to 2017. The temporal and spatial analysis yielded high rates of reverse temporal correlation (-0.81) between forest areas and LST anomalies while the correlation value of 0.76 was found for non-forest areas and LST. The regression analysis of the values confirmed the correlation results to be trustable at 99 percent. It was also found that the deforested areas of the study area correlate with the LST rise spatially with a very high correlation (0.98) from which a tangible interaction of the parameters can be inferred.

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Cite This Article

GÜNDÜZ, O., NAJAR, M., GHOUZLANE, S., KHORRAMI, B., PATEL, N. (2022). Land surface temperature anomalies in response to changes in forest cover. International Journal of Engineering and Geosciences, Cilt: 4 - Sayı: 3, 149–156. https://ajindex.com/articles/540720

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