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How Do Different Land Uses/Covers Contribute to Land Surface Temperature and Albedo?

Author

Listed:
  • Saeid Varamesh

    (Department of Natural Resources, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 5619911367, Iran)

  • Sohrab Mohtaram Anbaran

    (Department of Natural Resources, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 5619911367, Iran)

  • Bagher Shirmohammadi

    (Department of Reclamation of Arid and Mountainous Regions, University of Tehran, Tehran 3158777871, Iran)

  • Nadir Al-Ansari

    (Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187 Lulea, Sweden)

  • Saeid Shabani

    (Research Department of Natural Resources, Golestan Agricultural and Natural Resources Research and Education Center, AREEO, Gorgan 4915677555, Iran)

  • Abolfazl Jaafari

    (Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran 1496813111, Iran)

Abstract

Land surface temperature (LST) and land surface albedo (LSA) are the two key regional and global climate-controlling parameters; assessing their behavior would likely result in a better understanding of the appropriate adaptation strategies to mitigate the consequences of climate change. This study was conducted to explore the spatiotemporal variability in LST and LSA across different land use/cover (LULC) classes in northwest Iran. To do so, we first applied an object-oriented algorithm to the 10 m resolution Sentinel-2 images of summer 2019 to generate a LULC map of a 3284 km 2 region in northwest Iran. Then, we computed the LST and LSA of each LULC class using the SEBAL algorithm, which was applied to the Landsat-8 images from the summer of 2019 and winter of 2020. The results showed that during the summer season, the maximum and minimum LSA values were associated with barren land (0.33) and water bodies (0.11), respectively; during the winter season, the maximum LSA value was observed for farmland and snow cover, and the minimum value was observed in forest areas (0.21). The maximum and minimum LST values in summer were acquired from rangeland (37 °C) and water bodies (24 °C), respectively; the maximum and minimum values of winter values were detected in forests (4.14 °C) and snow cover (−21.36 °C), respectively. Our results revealed that barren land and residential areas, having the maximum LSA in summer, were able to reduce the heating effects to some extent. Forest areas, due to their low LSA and high LST, particularly in winter, had a greater effect on regional warming compared with other LULC classes. Our study suggests that forests might not always mitigate the effects of global warming as much as we expect.

Suggested Citation

  • Saeid Varamesh & Sohrab Mohtaram Anbaran & Bagher Shirmohammadi & Nadir Al-Ansari & Saeid Shabani & Abolfazl Jaafari, 2022. "How Do Different Land Uses/Covers Contribute to Land Surface Temperature and Albedo?," Sustainability, MDPI, vol. 14(24), pages 1-13, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16963-:d:1006959
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    References listed on IDEAS

    as
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    2. Richard A. Betts, 2000. "Offset of the potential carbon sink from boreal forestation by decreases in surface albedo," Nature, Nature, vol. 408(6809), pages 187-190, November.
    3. Zahn Münch & Lesley Gibson & Anthony Palmer, 2019. "Monitoring Effects of Land Cover Change on Biophysical Drivers in Rangelands Using Albedo," Land, MDPI, vol. 8(2), pages 1-25, February.
    4. Linfeng Xu & Xuan Liu & De Tong & Zhixin Liu & Lirong Yin & Wenfeng Zheng, 2022. "Forecasting Urban Land Use Change Based on Cellular Automata and the PLUS Model," Land, MDPI, vol. 11(5), pages 1-16, April.
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