使用谷歌地球引擎监测LULC动态和检测孟加拉silhet的转变热点 (2000-2023年)
S M Nazmul Haque1, Md Jahir Uddin2
1Department of Civil Engineering, Ahsanullah University of Science and Technology, Dhaka, 1208, Bangladesh.
Scientific reports
|August 25, 2025
概括
孟加拉国西尔赫特地区的快速城市化在过去23年里导致城市面积增加了300%, 这种土地使用变化显著增加了洪水风险,需要改善排水基础设施.
科学领域:
- 环境科学
- 遥感技术
- 地理信息系统 (GIS)
背景情况:
- 孟加拉国西尔赫特因地形,气候和快速城市化而面临洪水风险.
- 之前在Sylhet的土地使用/土地覆盖 (LULC) 研究范围和方法有限.
- 没有使用长期卫星数据和云计算进行全面的全区LULC评估.
研究的目的:
- 从2000年到2023年进行LULC变化,过渡和确定西尔赫特地区的热点/冷点的广泛分析.
- 使用谷歌地球引擎 (GEE) 进行全区LULC评估.
- 为减少洪水和城市规划提供数据驱动的见解.
主要方法:
- 使用Landsat 7 ETM+和Landsat 8 OLI卫星图像进行LULC分类 (2000-2023年).
- 使用谷歌地球引擎中的随机森林分类算法进行监督的LULC分类和变化检测.
- 应用了Getis-Ord Gi*统计数据来识别土地转型热点和冷点区域.
主要成果:
- 建筑面积的显著增加 (约. 其他水域的水量减少 (约300%) 较大. 在西尔赫特地区的77%.
- 所有市区都出现城市扩张,比尼巴扎尔增加了1500%;比什瓦纳特地区出现了最大的水体减少 (约90%).
- 卡纳伊加特地区的土地覆盖率最稳定 (7%不变),而巴拉甘地区的LULC变化率最高 (5.5%).
结论:
- 城市化趋势正在推动Sylhet的LULC发生重大变化,其特点是城市区域的扩大和水体的缩小.
- 观察到的LULC动态加剧了突然洪水的脆弱性,强调了有效的城市规划和排水管理的需要.
- 这些发现为当局,政策制定者和工程师提供了关键信息,
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