喀拉拉邦科塔亚姆地区植被指数对地表温度的双时相分析

Vijayakumar Anitha, Marimuthu Prashanthi Devi, Duraisamy Prabha
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摘要

研究人员在印度喀拉拉邦科塔亚姆地区评估了归一化植被指数(NDVI)在两个不同时期对地表温度(LST)以及城市地表热岛成因的影响。研究采用了 1988 年和 2020 年的 Landsat TM、Landsat OLI 和 TIRS 图像来仔细研究 NDVI 和 LST 之间的关系。对不同 NDVI 等级覆盖的面积进行了量化。研究结果表明,研究区域的归一化差异植被指数从 1988 年的 0.77 降至 2020 年的 0.59,导致 LSTmax 从 1988 年的 34.46 ℃ 升至 2020 年的 40.63 ℃。归一化差异植被指数的下降导致高 UHI 等级从 1988 年的 20.83 平方公里增加到 660.59 平方公里,极高 UHI 等级从 7.26 平方公里增加到 181.35 平方公里。观测发现,NDVI 与 LST 之间存在反比关系,1988 年和 2020 年的皮尔逊系数分别为 0.5737 和 0.5199,这表明 NDVI 可作为评估 LST 和 UHI 影响的重要指标。未来的研究将探讨 LULCC 的季节变化对 LST、昼夜 UHI 的影响及其对人类健康和能源消耗的影响。
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Bi-Temporal Analysis of Vegetation Index on Land Surface Temperature in Kottayam, Kerala
The impact of NDVI (Normalized Difference Vegetation Index) on the LST (Land Surface Temperature) as well as on the genesis of surface heat islands in urban areas during two different time periods was assessed in Kottayam district, Kerala, India. Landsat TM, Landsat OLI and TIRS imagery from the years 1988 and 2020 were employed to scrutinize the relationship between NDVI and LST. The area covered under different NDVI classes were quantified. The finding indicated that NDVI of the research region decreased from 0.77 in 1988 to 0.59 in 2020, resulting in an increase in LSTmax from 34.46 °C in 1988 to 40.63 °C in 2020. Decrease in NDVI resulted in an increase in the high UHI class from 20.83 km2 in 1988 to 660.59 km2 and from 7.26 km2 to 181.35km2 in the very high UHI class. An inverse relationship was observed between NDVI and LST, with Pearson coefficients of 0.5737 and 0.5199 for 1988 and 2020, respectively, which indicates that NDVI could serve as a crucial metric for evaluating LST and UHI effects. Future research will explore the effect of seasonal variability in LULCC on LST, day and night time UHI and their impacts on human health and energy consumption.
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