摘要
植被覆盖度(FVC)是描述地表植被变化的重要参数,其在地表过程模拟、气候建模和全球变化研究中起着重要作用,研究植被覆盖度的变化具有重要的意义。通过对2005~2020年MOD13Q1 NDVI数据重建,采用像元二分模型及最大值合成方法,对天水市植被覆盖时空变化特点进行研究分析。结果表明:2005~2020年间天水市的植被覆盖度呈增加趋势,增加的区域主要包括天水市藉河两侧以及天水市中部、东部和东北部;全市低植被覆盖度向中低植被覆盖度、中植被覆盖度转移,藉河流域两侧的植被覆盖度明显增加,其中藉河北部的植被覆盖度变化最显著;秦州区西部、甘谷县中西部、武山县西部等植被覆盖度较低区域的植被覆盖呈增长趋势,生态环境状况明显转好;高植被覆盖区域变化较小,基本保持稳定。研究结果合理解释了天水市植被覆盖的空间变化,可为生态系统保护与环境治理提供重要的理论依据。
Fractional Vegetation Cover(FVC)is an important parameter to describe the change of land surface vegetation.It plays an important role in surface process simulation,climate modeling and global change research.It is of great significance to study the change of vegetation coverage.Based on the reconstruction of MOD13Q1 NDVI data from 2005 to 2020,the temporal and spatial variation characteristics of vegetation cover in Tianshui City were studied and analyzed by using dimidiate pixel model and maximum value composite method.The results show that the vegetation coverage of Tianshui city shows an increasing trend from 2005 to 2020.The increasing areas mainly include the two sides of Xihe River,the middle,East and northeast of Tianshui city;The low vegetation coverage of the whole city has shifted to medium and low vegetation coverage and medium vegetation coverage.The vegetation coverage on both sides of the Xihe River Basin has increased significantly,especially in the north of the Xihe River;The vegetation coverage in the west of Qinzhou District,the middle and west of Gangu County and the west of Wushan County showed an increasing trend,and the ecological environment improved significantly;The change of high vegetation coverage area is small and basically remains stable.The results reasonably explain the spatial change of vegetation cover in Tianshui City,which can provide an important theoretical basis for ecosystem protection and environmental governance.
作者
王润科
王建
赵泽斌
牛莉婷
Runke WANG;Jian WANG;Zebin ZHAO;Liting NIU(Tianshui Normal University,Tianshui 741001,China;Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《遥感技术与应用》
CSCD
北大核心
2024年第4期987-999,共13页
Remote Sensing Technology and Application
基金
甘肃省科技计划项目(21JR1RE293)
天水师范学院校级科研项目(ZDY2020-18)资助。
关键词
植被覆盖度
NDVI重建
像元二分模型
时空变化
Vegetation cover age
NDVI reconstruction
Dimidiate pixel model
Spatiotemporal Variation
