干旱区生态环境知识资源中心(Arid): Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold

Arid

DOI	10.1016/j.jag.2021.102417
	Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold
	Wu, Jing; Kurosaki, Yasunori; Gantsetseg, Batdelger; Ishizuka, Masahide; Sekiyama, Tsuyoshi Thomas; Buyantogtokh, Batjargal; Liu, Jiaqi
通讯作者	Wu, J (corresponding author), Tottori Univ, Arid Land Res Ctr, Hamasaka, Tottori 1390, Japan.
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN	1569-8432
EISSN	1872-826X
出版年	2021
卷号	102
英文摘要	Monitoring of dry vegetation in arid and semi-arid regions is crucial in environmental investigations such as assessments of wind erosion risk, livestock forage, and fire risk. However, there has been little research into estimating the coverage and mass of dry (non-photosynthetic) vegetation. In our study area at Tsogt-Ovoo (TsO) in the northern Gobi Desert, Mongolia, we used MODIS data to compare observed dry vegetation cover (VCd obs) and mass (M-d_obs) with values estimated from the Normalized Difference Vegetation Index (NDVI) and six other potential Short Wavelength InfraRed (SWIR) dry vegetation indices. Of the seven vegetation indices, the Soil Tillage Index (STI) and Normalized Difference Tillage Index (NDTI), both of which are calculated from SWIR bands 6 and 7, provided good estimates of (VCd_obs) and (M-d_obs). Our comparisons of observed roughness length (z(0)) and threshold friction velocity (ut) for sand saltation at stony and non-stony sites with dry vegetation cover determined from STI verified its suitability for estimating VCd(STI). At both sites, the observed z(0)and u(t)increased with increasing estimated VCd(STI). Based on their relationships with STI, we predicted values of z(0)and u(t)in the absence of dry vegetation that were in accordance with published data. The threshold wind speeds at 10 m height derived from u(t)at both the stony and non-stony sites were reasonably close to the value that is commonly used in dust models. Thus, we verified that STI is a suitable index for estimating the amount of dry vegetation in the Gobi Desert and, potentially, in other arid and semi-arid regions. Although the relationships of z(0)and u(*t)with STI require further validation, it appears that the use of STI can improve future wind erosion risk assessments in arid and semi-arid environments.
英文关键词	Dry vegetation Soil Tillage Index Roughness length Threshold friction velocity Arid region
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000700846700003
WOS关键词	WIND EROSION ; DUST EMISSION ; LAND-SURFACE ; PHOTOSYNTHETIC VEGETATION ; REGIONAL CHARACTERISTICS ; LITTER DECOMPOSITION ; PLANT LITTER ; SOIL ; GRASSLAND ; CLIMATE
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363611
作者单位	[Wu, Jing; Kurosaki, Yasunori; Buyantogtokh, Batjargal; Liu, Jiaqi] Tottori Univ, Arid Land Res Ctr, Hamasaka, Tottori 1390, Japan; [Gantsetseg, Batdelger; Buyantogtokh, Batjargal] Informat & Res Inst Meteorol Hydrol & Environm, Ulaanbaatar, Mongolia; [Ishizuka, Masahide] Kagawa Univ, Fac Engn & Design, Takamastsu, Japan; [Sekiyama, Tsuyoshi Thomas] Japan Meteorol Agcy, Meteorol Res Inst, Tsukuba, Ibaraki, Japan
推荐引用方式 GB/T 7714	Wu, Jing,Kurosaki, Yasunori,Gantsetseg, Batdelger,et al. Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold[J],2021,102.
APA	Wu, Jing.,Kurosaki, Yasunori.,Gantsetseg, Batdelger.,Ishizuka, Masahide.,Sekiyama, Tsuyoshi Thomas.,...&Liu, Jiaqi.(2021).Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,102.
MLA	Wu, Jing,et al."Estimation of dry vegetation cover and mass from MODIS data: Verification by roughness length and sand saltation threshold".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 102(2021).