Arid
DOI10.3390/rs10121993
Evaluating MODIS Dust-Detection Indices over the Arabian Peninsula
Albugami, Sarah1; Palmer, Steven1; Meersmans, Jeroen2; Waine, Toby2
通讯作者Albugami, Sarah
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2018
卷号10期号:12
英文摘要

Sand and dust storm events (SDEs), which result from strong surface winds in arid and semi-arid areas, exhibiting loose dry soil surfaces are detrimental to human health, agricultural land, infrastructure, and transport. The accurate detection of near-surface dust is crucial for quantifying the spatial and temporal occurrence of SDEs globally. The Arabian Peninsula is an important source region for global dust due to the presence of extensive deserts. This paper evaluates the suitability of five different MODIS-based methods for detecting airborne dust over the Arabian Peninsula: (a) Normalized Difference Dust Index (NDDI); (b) Brightness Temperature Difference (BTD) (31-32); (c) BTD (20-31); (d) Middle East Dust Index (MEDI) and (e) Reflective Solar Band (RSB). We derive detection thresholds for each index by comparing observed values for dust-present’ versus dust-free’ conditions, taking into account various land cover settings and analyzing associated temporal trends. Our results suggest that the BTD (31-32) method and the RSB index are the most suitable indices for detecting dust storms over different land-cover types across the Arabian Peninsula. The NDDI and BTD (20-31) methods have limitations in identifying dust over multiple land-cover types. Furthermore, the MEDI has been found to be unsuitable for detecting dust in the study area across all land-cover types.


英文关键词MODIS remote sensing dust NDDI BTD MEDI
类型Article
语种英语
国家England
收录类别SCI-E
WOS记录号WOS:000455637600135
WOS关键词MINERAL DUST ; SAHARAN DUST ; MIDDLE-EAST ; CLIMATE-CHANGE ; SAUDI-ARABIA ; STORMS ; REGION ; DESERTIFICATION ; TEMPERATURE ; AEROSOLS
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/2XILL650/212677
作者单位1.Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4RJ, Devon, England;
2.Cranfield Univ, Soil & Agrifood Inst, Cranfield MK43 0AL, Beds, England
推荐引用方式
GB/T 7714
Albugami, Sarah,Palmer, Steven,Meersmans, Jeroen,et al. Evaluating MODIS Dust-Detection Indices over the Arabian Peninsula[J],2018,10(12).
APA Albugami, Sarah,Palmer, Steven,Meersmans, Jeroen,&Waine, Toby.(2018).Evaluating MODIS Dust-Detection Indices over the Arabian Peninsula.REMOTE SENSING,10(12).
MLA Albugami, Sarah,et al."Evaluating MODIS Dust-Detection Indices over the Arabian Peninsula".REMOTE SENSING 10.12(2018).
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