森林砍伐对地表温度的影响:以沙巴州昆达桑高地为例

Ricky Anak Kemarau, Oliver Valentine Eboy, Zaini Sakawi, Stanley Anak Suab, Nik Norliati Fitri Md Nor
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引用次数: 0

摘要

近几十年来,热带地区广泛的森林砍伐动态地改变了森林和土地覆盖。在集约化农业、农村居民点扩张和城市发展需求的推动下,这种转变强调了对植被和森林覆盖进行警惕监测的必要性,以了解全球和地方的环境变化。这项研究的重点是在沙巴州昆达桑高地,森林砍伐及其对地表温度(LST)的影响之间复杂的相互作用。该研究分析了1990年、2009年和2021年,使用了Landsat 5和Landsat 8卫星数据,跨越30年的时间来破译森林覆盖动态。利用遥感技术,它揭示了森林砍伐、森林覆盖和地表温度波动之间的演变关系,并利用中分辨率成像光谱仪(MODIS)从1990年到2021年的见解进行了验证。由于缺乏关于热带森林砍伐对地表温度影响的研究,该研究的核心目标是在森林损失程度与随之而来的热变化之间建立强有力的联系。这些发现强调了植被减少对地表温度上升的切实影响,因此有必要精确了解森林砍伐地区及其热响应。27年来,昆达桑高地约76%的森林覆盖变成了农田和城区,这揭示了一个惊人的情况。研究进一步揭示了地表温度与森林平方公里面积以及归一化植被指数(NDVI)之间存在明显的负相关关系。这些研究结果为森林管理提供了宝贵的指导,确定了脆弱地区,同时也赋予了地方治理能力,以制定可持续土地管理战略。
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Impact Deforestation on Land Surface Temperature: A Case Study Highland Kundasang, Sabah
In recent decades, extensive deforestation in tropical regions has dynamically reshaped forests and land cover. Driven by demands for intensified agriculture, rural settlement expansion, and urban growth, this transformation underscores the need for vigilant monitoring of vegetation and forest cover to comprehend global and local environmental shifts. This study focuses on the intricate interplay between deforestation and its impact on land surface temperature (LST) within Sabah's Kundasang highland. Analyzing years 1990, 2009, and 2021, the study employs Landsat 5 and Landsat 8 satellite data spanning three decades to decipher forest cover dynamics. Utilizing remote sensing techniques, it unveils the evolving relationship between deforestation, forest cover, and LST fluctuations, validated using Moderate Resolution Imaging Spectroradiometer (MODIS) insights from 1990 to 2021. Motivated by the scarcity of research on tropical deforestation's LST impact, the study's core aim is to establish a robust link between forest loss extent and ensuing thermal changes. The findings highlight a tangible influence of reduced vegetation on rising surface temperatures, necessitating a precise understanding of deforested areas and their thermal responses. Revealing a striking scenario, around 76% of Kundasang highland's forest cover transformed into agriculture and urban zones over 27 years. The study further uncovers a clear inverse relationship between LST and forest area in square kilometers, as well as the Normalized Difference Vegetation Index (NDVI). These findings provide valuable guidance for forest management, identifying vulnerable areas, while also empowering local governance to shape sustainable land management strategies.
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来源期刊
Geoplanning Journal of Geomatics and Planning
Geoplanning Journal of Geomatics and Planning Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.00
自引率
0.00%
发文量
5
审稿时长
4 weeks
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