Evaluation of Land Use Land Cover Changes in Response to Land Surface Temperature With Satellite Indices and Remote Sensing Data

IF 2.4 3区 环境科学与生态学 Q2 ECOLOGY Rangeland Ecology & Management Pub Date : 2024-08-02 DOI:10.1016/j.rama.2024.07.003
Qun Zhao , Muhammad Haseeb , Xinyao Wang , Xiangtian Zheng , Zainab Tahir , Sundas Ghafoor , Muhammad Mubbin , Ram Pravesh Kumar , Sanju Purohit , Walid Soufan , Khalid F. Almutairi
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Abstract

Land use and land cover (LULC) changes are known as the main factors causing soil degradation, which presents considerable obstacles to maintaining soil quality and the resilience of ecosystems. Human activities substantially impact LULC changes, particularly in areas experiencing rapid development. The objective of this study is to assess the changes in LULC, land surface temperature (LST), Normalized Differentiate Vegetation Index (NDVI), and Normalized Differentiate Built-up Index (NDBI) in Kasur District from 1991 to 2021. The study analyzed five major LULC classes: Water bodies, Urban areas, barren land, forest Cover, and vegetated areas. Our analysis revealed that the Urban area of Kasur expanded by around 16.27%. The vegetation cover experienced a slight decline of just 1%, while water bodies declined by 0.26%. Forest cover experienced a decrease of about 0.54%, and bare land decreased significantly by 14.4%. The imagery classification achieved an overall accuracy of 88% to 92%. The highest NDVI value was observed in 1991 (+0.89), while the lowest was in 2021 (+0.56). Similarly, the highest NDBI recorded was +0.83 in 2021, while the lowest was +0.65 in 1991. The linear regression analysis revealed a strong negative association between the NDVI and NDBI. LST results exhibited a 0.55°C increase between the years 1991 and 2021. The study's findings align with the Sustainable Development Goals (SDGs), particularly SDG-15, which aims to protect, restore, and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt land degradation and biodiversity loss.

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利用卫星指数和遥感数据评估土地利用土地覆被变化对地表温度的影响
众所周知,土地利用和土地覆盖(LULC)的变化是造成土壤退化的主要因素,这对保持土壤质量和生态系统的恢复能力构成了相当大的障碍。人类活动对 LULC 变化产生了重大影响,尤其是在快速发展的地区。本研究旨在评估 1991 年至 2021 年期间卡苏尔地区 LULC、地表温度(LST)、归一化差异植被指数(NDVI)和归一化差异堆积指数(NDBI)的变化情况。研究分析了五大 LULC 类别:水体、城市地区、荒地、森林植被和植被覆盖区。我们的分析表明,卡苏尔的城市面积扩大了约 16.27%。植被覆盖率略微下降了 1%,而水体则下降了 0.26%。森林覆盖率下降了约 0.54%,裸露土地大幅减少了 14.4%。图像分类的总体准确率为 88% 至 92%。最高的 NDVI 值出现在 1991 年(+0.89),而最低的则出现在 2021 年(+0.56)。同样,2021 年记录到的最高 NDBI 值为 +0.83,而 1991 年的最低值为 +0.65。线性回归分析表明,NDVI 与 NDBI 之间存在很强的负相关。LST 结果显示,1991 年至 2021 年期间,温度上升了 0.55°C。研究结果符合可持续发展目标(SDGs),尤其是旨在保护、恢复和促进可持续利用陆地生态系统、可持续管理森林、防治荒漠化以及阻止土地退化和生物多样性丧失的 SDG-15。
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来源期刊
Rangeland Ecology & Management
Rangeland Ecology & Management 农林科学-环境科学
CiteScore
4.60
自引率
13.00%
发文量
87
审稿时长
12-24 weeks
期刊介绍: Rangeland Ecology & Management publishes all topics-including ecology, management, socioeconomic and policy-pertaining to global rangelands. The journal''s mission is to inform academics, ecosystem managers and policy makers of science-based information to promote sound rangeland stewardship. Author submissions are published in five manuscript categories: original research papers, high-profile forum topics, concept syntheses, as well as research and technical notes. Rangelands represent approximately 50% of the Earth''s land area and provision multiple ecosystem services for large human populations. This expansive and diverse land area functions as coupled human-ecological systems. Knowledge of both social and biophysical system components and their interactions represent the foundation for informed rangeland stewardship. Rangeland Ecology & Management uniquely integrates information from multiple system components to address current and pending challenges confronting global rangelands.
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