DOI: 10.1016/j.jag.2015.02.011
Scopus记录号: 2-s2.0-84933546699
论文题名: Dry-season vegetation mass and cover fraction from SWIR1.6 and SWIR2.1 band ratio: Ground-radiometer and MODIS data in the Sahel
作者: Kergoat L ; , Hiernaux P ; , Dardel C ; , Pierre C ; , Guichard F ; , Kalilou A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 39 起始页码: 56
结束页码: 64
语种: 英语
英文关键词: Cover fraction
; Ground radiometry
; MODIS
; Sahel
; SWIR
; Vegetation mass
Scopus关键词: dry season
; MODIS
; radiometer
; risk assessment
; satellite data
; semiarid region
; shortwave radiation
; vegetation cover
; vegetation dynamics
; Sahel [Sub-Saharan Africa]
英文摘要: The potential of the short-wave infrared (SWIR) bands to detect dry-season vegetation mass and cover fraction is investigated with ground radiometry and MODIS data, confronted to vegetation data collected in rangeland and cropland sites in the Sahel (Senegal, Niger, Mali). The ratio of the 1.6 and 2.1 μm bands (called STI) acquired with a ground radiometer proved well suited for grassland mass estimation up to 2500 kg/ha with a linear relation (r2 = 0.89). A curvilinear regression is accurate for masses ranging up to 3500 kg/ha. STI proved also well suited to retrieve vegetation cover fraction in crop fields, fallows and rangelands. Such dry-season monitoring, with either ground or satellite data, has important applications for forage, erosion risk and fire risk assessment in semi-arid areas. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79502
Appears in Collections: 气候变化事实与影响
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作者单位: GET (CNRS/IRD/Université de Toulouse), 14 Avenue E. Belin, Toulouse, France; CNRM-GAME (CNRS/MétéoFrance), 42 Avenue Coriolis, Toulouse, France; ILRI, ICRISAT Sahelian Centre, B.P. 12404, Niamey, Niger
Recommended Citation:
Kergoat L,, Hiernaux P,, Dardel C,et al. Dry-season vegetation mass and cover fraction from SWIR1.6 and SWIR2.1 band ratio: Ground-radiometer and MODIS data in the Sahel[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,39