COMSATS University Islamabad, Department of Environmental Sciences, Abbottabad, Pakistan.
COMSATS University Islamabad, Department of Civil Engineering, Abbottabad, Pakistan.
Braz J Biol. 2024 Aug 12;84:e281700. doi: 10.1590/1519-6984.281700. eCollection 2024.
Human activities are altering the existing patterns of Land Use Land Cover (LULC) and Land Surface Temperature (LST) on a global scale. However, long-term trends of LULC and LST are largely unknown in many remote mountain areas such as the Karakorum. . The objective of our study therefore was to evaluate the historical changes in land use and land cover (LULC) in an alpine environment located in Islamabad Capital Territory, Pakistan. We used Landsat satellite pictures (namely Landsat 5 TM and Landsat 8 OLI) from the years 1988, 2002, and 2016 and applied the Maximum Likelihood Classification (MLC) approach to categorize land use classes. Land Surface Temperatures (LST) were calculated using the thermal bands (6, 10, and 11) of Landsat series data. The correlation between the Human Modification Index (HMI) and LULC as well as LST was evaluated by utilizing data from Google Earth Engine (GEE). Over the study period, the urbanized area increased by 9.94%, whilst the agricultural and bare soil areas decreased by 3.81% and 3.94%, respectively. The findings revealed a significant change in the LULC with a decrease of 1.99% in vegetation. The highest LST class exhibited a progressive trend, with an increase from 12.27% to 48.48%. Based on the LST analysis, the built-up area shows the highest temperature, followed by the barren, agricultural, and vegetation categories. Similarly, the HMI for different LST categories indicates that higher LST categories have higher levels of human alteration compared to lower LST categories, with a strong correlation (R-value = 0.61) between HMI and LST. The findings can be utilized to promote sustainable urban management and for biodiversity conservation efforts. The work also has the potential of utilizing it to protect delicate ecosystems from human interference and to formulate strategies and regulations for sustainable urban growth, including aspects of land utilization and zoning, reduction of urban heat stress, and urban infrastructure.
人类活动正在改变全球范围内土地利用和土地覆盖(LULC)和地表温度(LST)的现有格局。然而,在许多偏远山区,如喀喇昆仑山脉,长期的 LULC 和 LST 趋势在很大程度上是未知的。因此,我们的研究目的是评估位于巴基斯坦伊斯兰堡首都地区的高山环境中土地利用和土地覆盖(LULC)的历史变化。我们使用了来自 1988 年、2002 年和 2016 年的 Landsat 卫星图像(即 Landsat 5 TM 和 Landsat 8 OLI),并应用最大似然分类(MLC)方法对土地利用类别进行分类。地表温度(LST)是通过 Landsat 系列数据的热波段(6、10 和 11)计算得出的。利用来自 Google Earth Engine(GEE)的数据,评估了人类改造指数(HMI)与 LULC 以及 LST 的相关性。在研究期间,城市面积增加了 9.94%,而农业和裸土面积分别减少了 3.81%和 3.94%。研究结果表明,LULC 发生了显著变化,植被减少了 1.99%。最高的 LST 类别表现出渐进的趋势,从 12.27%增加到 48.48%。根据 LST 分析,建成区的温度最高,其次是荒地、农业区和植被区。同样,不同 LST 类别的 HMI 表明,与低 LST 类别相比,高 LST 类别具有更高的人类改造水平,与 HMI 和 LST 之间存在很强的相关性(R 值=0.61)。研究结果可用于促进可持续城市管理和保护生物多样性的努力。该研究还有可能利用它来保护脆弱的生态系统免受人类干扰,并制定可持续城市增长的战略和法规,包括土地利用和分区、减少城市热应激以及城市基础设施等方面。