气候变化领域集成服务门户(CCPortal): Estimating the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil from MODIS data: Assessing the applicability of the NDVI-DFI model in the typical Xilingol grasslands

CCPortal

DOI	10.1016/j.jag.2018.11.006
	Estimating the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil from MODIS data: Assessing the applicability of the NDVI-DFI model in the typical Xilingol grasslands
	Wang G.; Wang J.; Zou X.; Chai G.; Wu M.; Wang Z.
发表日期	2019
ISSN	15698432
起始页码	154
结束页码	166
卷号	76
英文摘要	Quantitative estimations of the fractional cover of photosynthetic vegetation (f PV ), non-photosynthetic vegetation (f NPV ) and bare soil (f BS ) are critical for soil wind erosion, desertification, grassland grazing, grassland fire, and grassland carbon storage studies. At present, regional and large-scale f PV , f NPV and f BS estimations have been carried out in many areas. However, few studies have used moderate resolution imaging spectroradiometer (MODIS) data to perform large-scale, long-term f PV , f NPV and f BS estimations in the Xilingol grassland of China. The objective of this study was to quantitatively estimate the time series of f PV , f NPV and f BS in the typical grassland region of Xilingol from MODIS image data. Field measurement spectral and coverage data from May and September 2017 were combined with the 8-day composite product (MOD09A1) acquired during 2017. We established an empirical linear model of different non-photosynthetic vegetation indices (NPVIs) and f NPV based on the sample scale. The linear correlation between the dead fuel index (DFI) and f NPV was best (R 2 = 0.60, RMSE = 0.15). A normalized difference vegetation index (NDVI)-DFI model based on MODIS data was proposed to accurately estimate the f PV , f NPV and f BS (estimation accuracies of 44%, 71%, and 74%, respectively) in the typical grasslands of Xilingol in China. The f PV , f NPV and f BS values for the typical grassland time series estimated by the NDVI-DFI model were consistent with the phenological characteristics of the grassland vegetation. The results show that the application of the NDVI-DFI model to the Xilingol grassland is reasonable and appropriate, and it is of great significance to the monitoring of soil wind erosion and fires in grasslands. © 2018
英文关键词	Bare soil; DFI; Fractional cover; MODIS; Non-photosynthetic vegetation; Xilingol grassland
语种	英语
scopus关键词	bare soil; grassland; MODIS; NDVI; phenology; vegetation cover; China; Nei Monggol; Xilingol
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156525
作者单位	College of Resource and Environment Engineering, Ludong University, Yantai, 264025, China; State Key Laboratory of Earth Surface Process and Resource Ecology, Beijing Normal University, Beijing, 100875, China
推荐引用方式 GB/T 7714	Wang G.,Wang J.,Zou X.,et al. Estimating the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil from MODIS data: Assessing the applicability of the NDVI-DFI model in the typical Xilingol grasslands[J],2019,76.
APA	Wang G.,Wang J.,Zou X.,Chai G.,Wu M.,&Wang Z..(2019).Estimating the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil from MODIS data: Assessing the applicability of the NDVI-DFI model in the typical Xilingol grasslands.International Journal of Applied Earth Observation and Geoinformation,76.
MLA	Wang G.,et al."Estimating the fractional cover of photosynthetic vegetation, non-photosynthetic vegetation and bare soil from MODIS data: Assessing the applicability of the NDVI-DFI model in the typical Xilingol grasslands".International Journal of Applied Earth Observation and Geoinformation 76(2019).