Paper Info
Title
Designing an improved soil moisture index in the near-infrared and shortwave plane
Abstract
Drought index plays an important role in the assessment of drought severity as one sensitive indicator of land drought status. A simple and accurate method of expressing ground drought from remote sensing data is in urgent. Firstly, a brand-new frame has been developed by coordinate system transformation, with (x', y') expressing (soil water content, vegetation coverage), which made the meaning more clearly. Secondly, a new drought index - the modified Shortwave Infrared Perpendicular Water Stress Index (MSPSI) has been proposed, with additive of vegetation fraction f, (expressed as a distance from LAI contour to soil baseline) as a vegetation coverage adjusting factor, which makes ground drought status with vegetation coverage variance be considered as belonging to the new coordinate system. To evaluate the new index, the correlation analysis between the in-situ observation data from the meteorological sites and simulated values from MOD09A1 has been performed on a regional scale. We found them to be in good agreement. To further confirm that the drought index is feasible with higher precision than original drought indices (DIs), comparison experiment has been done.
Year
DOI
Venue
2011
10.1109/IGARSS.2011.6049867
IGARSS
Keywords
Field
DocType
remote sensing,drought index,moisture,hydrology,modis,remote sensing data,soil moisture index,vegetation coverage,soil water content,drought monitoring,modified shortwave infrared perpendicular water stress index,mod09a1,soil moisture,shortwave,vegetation fraction,near-infrared,coordinate system transformation,soil,vegetation,indexing terms,reflectivity,near infrared,water stress,correlation,infrared,agricultural production,water supply,coordinate system,indexation,indexes
Coordinate system,Soil science,Vegetation,Moisture,Computer science,Remote sensing,Near-infrared spectroscopy,Shortwave,Water content,Enhanced vegetation index,Soil water
Conference
Volume
Issue
ISSN
null
null
2153-6996
ISBN
Citations 
PageRank 
978-1-4577-1003-2
2
0.67
References 
Authors
0
6
Name
Order
Citations
PageRank
Fang Liu11188125.46
Qi-ming Qin215849.12
Chao Chen32032185.26
Haixia Feng423.04
Ning Zhang521.35
Leilei Chai6101.94