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作 者:吴小伙 Wu Xiaohuo(Fujian Longyan Basic Geographic Information and Surveying Center,Longyan 364000,China)
机构地区:[1]福建省龙岩市基础地理信息与测绘中心,福建龙岩364000
出 处:《科学技术创新》2022年第5期21-24,共4页Scientific and Technological Innovation
摘 要:福建省长汀县是我国典型南方亚热带红壤丘陵区。由于山势陡峭,降雨量强度大等自然原因和人类不合理开采等历史原因,导致长汀成为我国南方水土流失最严重的区域之一,造成大量经济和生态损失。经过多年的水土流失治理和封山育林保护,长汀的生态环境显著改善,但植被覆盖变化的时空分布格局仍然不清晰。为了解决此科学问题,本文基于多源卫星遥感分析长汀县1980-2020年植被覆盖度变化及其空间分布格局。结果表明:长汀县植被覆盖度40年间呈逐年上升趋势;除了主城区汀州镇外,其余乡镇植被覆盖度均逐年上升,其中三洲、河田、策武和濯田四个水土流失严重的乡镇植被覆盖增加速度最快;多源遥感NDVI数据具有一定差异,MODIS最高,Landsat次之,AVHRR最小;时间趋势回归系数上,多源遥感数据也存在一定差异;本文的研究结果为长汀水土流失治理和生态环境保护提供重要借鉴意义。Changting County, Fujian Province is a typical subtropical red soil hilly region in southern China. Due to natural reasons such as steep mountain, heavy rainfall intensity and historical reasons such as unreasonable exploitation by human beings, Changting has become one of the areas with the most serious soil erosion in southern China, resulting in a large number of economic and ecological losses. After years of soil erosion control and closing hillsides for afforestation protection, the ecological environment of Changting has improved significantly, but the spatial and temporal distribution pattern of vegetation cover change is still unclear. In order to solve this scientific problem, this paper analyzes the change of vegetation coverage and its spatial distribution pattern in Changting County from 1980 to 2020 based on multi-source satellite remote sensing. The results show that the vegetation coverage in Changting County has been increasing year by year for 40 years. Except Tingzhou Town, the main urban area, the vegetation coverage of other towns and villages has been increasing year by year, among which Sanzhou, Hetian, Cewu and Zhuotian, four towns and villages with serious soil erosion, have the fastest growth rate. There are some differences in multi-source remote sensing NDVI data, MODIS is the highest, Landsat is the second, AVHRR is the smallest;On the time trend regression coefficient, there are some differences in multi-source remote sensing data. The research results of this paper provide important reference for soil erosion control and ecological environment protection in Changting.
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