摘要
植被覆盖度(Fractional Vegetation Cover,FVC)是表征植被活力和冠层绿度的重要指标,对解析植被变化及其在水土流失监测等领域的应用均具有重要意义。本文以地处南方红壤区的长汀县为例,利用不同空间分辨率的多源遥感数据,通过归一化植被指数(Normalized Difference Vegetation Index,NDVI)计算FVC,探讨不同空间分辨率遥感数据对FVC的影响。结果表明:在空间分布上,由不同空间分辨率遥感影像反演的长汀县FVC总体上均呈现出中间低、四周高的分布特征;在时间上,2022年9月长汀县FVC略高于4月和12月。由Sentinel-2影像反演的10 m分辨率的FVC数据能够更加精细、准确地刻画异质性地表景观的植被覆盖情况,有助于福建省零星水土流失图斑的提取。相较之下,受混合像元影响,由MODIS数据计算的250 m和500 m的FVC数据均值偏低,难以反映不同地类的植被覆盖差异。
Fractional Vegetation Cover(FVC)is a key indicator for characterizing vegetation vigor and canopy greenness,playing a significant role in understanding vegetation dynamics and supporting applications in fields such as soil erosion assessment.Located in the southern red soil region of China,Changting County is selected for the case study.Multi-source remote sensing data with varying spatial resolutions are employed to calculate FVC based on the Normalized Difference Vegetation Index(NDVI),aiming to explore the impact of spatial resolution on FVC estimation.The results indicate that,spatially,the FVC retrieved from remote sensing images of different resolutions exhibits a consistent pattern across Changting County,that is lower in the central area and higher in the surrounding regions.Temporally,the FVC in September 2022 is slightly higher than that in April and December.Among the datasets used,Sentinel-2 imagery(10 m resolution)provides finer and more accurate representations of the heterogeneous vegetation landscape,making it more suitable for the extraction of scattered soil erosion patches in Fujian Province.In contrast,due to the effect of the mixed pixel,MODIS-derived FVC data(250 m and 500 m resolutions)tend to underestimate FVC values and fail to capture the vegetation cover differences across various land cover types.
作者
余智超
金时来
李琳
彭菲菲
汪小钦
YU Zhichao;JIN Shilai;LI Lin;PENG Feifei;WANG Xiaoqin(Key Lab of Spatial Data Mining&Information Sharing of Ministry of Education,Academy of Digital China(Fujian),Fuzhou University,Fuzhou 350108;Fujian Soil and Water Conservation Experimental Station,Fuzhou 350001)
出处
《亚热带水土保持》
2025年第3期7-10,共4页
Subtropical Soil and Water Conservation
基金
福建省水利科技项目“基于生物措施因子测算优化的水土流失监测方法研究”(MSK202431)。
关键词
长汀县
多源遥感数据
FVC
水土流失
Changting County
multi-source remote sensing data
FVC
soil erosion
