干旱区生态环境知识资源中心(Arid): Verification of Fractional Vegetation Coverage and NDVI of Desert Vegetation via UAVRS Technology

Arid

DOI	10.3390/rs12111742
	Verification of Fractional Vegetation Coverage and NDVI of Desert Vegetation via UAVRS Technology
	Tang, Liang 1,2; He, Mingzhu 1,2; Li, Xinrong1,2
通讯作者	He, Mingzhu
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:11
英文摘要	Desertification control and scientific evaluation of desert ecosystem sustainability are important issues for countries along the Silk Road Economic Belt. Fractional vegetation coverage (FVC) is used as a quantitative indicator to describe the vegetation coverage of desert ecosystems. Although satellite remote sensing technology has been widely used to retrieve FVC at the regional and global scale, the authenticity evaluation of the inversion results has been flawed. To gain insight into the composition, structure and changes of desert vegetation, it is important to assess the accuracy of FVC and explore the relationship between FVC and meteorological factors. Therefore, we adopted unmanned aerial vehicle remote sensing (UAVRS) technology to verify the inversion results and analyse the practicability of MODIS-NDVI (where NDVI = normalized difference vegetation index) products in desert areas. To provide a new method for the estimation of vegetation coverage in the natural state, the relationships between vegetation coverage and four meteorological factors, namely, land surface temperature, temperature, precipitation and evaporation were analysed. The results showed that using the original MODIS-NDVI data product with a spatial resolution of 250 m to invert vegetation coverage is practical in desert areas (coefficient of determination (R-2) = 0.83, root mean square error (RMSE) = 0.052, normalized root mean square error (NRMSE) = 42.94%, mean absolute error (MAE) = 0.007) but underestimates vegetation coverage in the study area. MODIS-NDVI data products are different from the real NDVI in the study area. Correcting MODIS-NDVI data products can effectively improve the accuracy of the inversion. When extracting vegetation coverage in this area, the scale has little effect on the results. There is a significant correlation between precipitation, evaporation and FVC in the area, but the interaction of temperature and land surface temperature with precipitation and evaporation also has a considerable impact on FVC, and evaporation has a substantial impact on FVC values inverted from MODIS-NDVI data (FVCM), When exploring the relationship between vegetation coverage and meteorological elements, if vegetation coverage is retrieved from MODIS-NDVI data products or MODIS-NDVI data, when considering temperature and precipitation, the effect of evaporation should also be considered. In addition, meteorological factors can be used to predict FVC (R-2 = 0.7364, RMSE = 0.0623), which provides a new method for estimating FVC in areas with less manual intervention.
英文关键词	fractional vegetation coverage (FVC) NDVI unmanned aerial vehicle temperature precipitation desert vegetation
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000543397000047
WOS关键词	UNMANNED AERIAL VEHICLE ; INDEXES ; TEMPERATURE ; SIMULATION ; DERIVATION ; CANOPY ; RED
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院西北生态环境资源研究院
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319757
作者单位	1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Shapotou Desert Res & Expt Stn, Donggang West Rd 320, Lanzhou 730000, Peoples R China; 2.Key Lab Stress Physiol & Ecol Cold & Arid Reg, Lanzhou 730000, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Tang, Liang,He, Mingzhu,Li, Xinrong. Verification of Fractional Vegetation Coverage and NDVI of Desert Vegetation via UAVRS Technology[J]. 中国科学院西北生态环境资源研究院,2020,12(11).
APA	Tang, Liang,He, Mingzhu,&Li, Xinrong.(2020).Verification of Fractional Vegetation Coverage and NDVI of Desert Vegetation via UAVRS Technology.REMOTE SENSING,12(11).
MLA	Tang, Liang,et al."Verification of Fractional Vegetation Coverage and NDVI of Desert Vegetation via UAVRS Technology".REMOTE SENSING 12.11(2020).