Surface Moisture Content Retrieval from Visible/Thermal Infrared Images and Field Measurements

Abdalla HASSABALLA, Abdalhaleem and MATORI , Abdul Nasir and Mohd SHAFRI, Helmi Zulhaidi (2013) Surface Moisture Content Retrieval from Visible/Thermal Infrared Images and Field Measurements. Caspian Journal of Applied Sciences Research . pp. 182-189. ISSN 2251-9114



In this study, NOAA/AVHRR satellite was used to estimate the surface temperature and satellite estimated soil moisture content as input parameters leading to estimate the evapotranspiration over Perak Tengah & Majung regions in Malaysia. At this stage of the study, the work was focused on the analysis of soil moisture content θ and surface temperature Ts data acquired from in-situ measurements over two locations: Sitiawan and University PETRONAS UTP weather stations represents urban area and multiple land cover area respectively. Throughout the study area, θ was measured using soil moisture probe for Sitiawan and the oven method for UTP; while Ts data measured using mini thermometers for both stations. Both Ts and θ were measured in three different near surface depths 5 cm, 10 cm and 15 cm, the θ values were then plotted against Ts in graphical representations to study the impact of surface temperature on wet soils behavior. A reasonable negative relationship was noticed among the θ - Ts representation, the relation was agreed with the so called “ Universal Triangle” method which is being used in the study of soil moisture, vegetation cover and temperature interaction, particularly over areas with biomass cover. Soil moisture estimation algorithm has been generated upon the “Universal Triangle” method from the satellite extracted surface temperature, Normalized Difference Vegetation Index NDVI and the field measured moisture content. Moisture content parameters were calculated, and then the moisture content algorithm was generated accordingly for the two study locations with three different “Split-window” algorithms and finally a spatial validation of satellite θ algorithms was conducted for accuracy assessment.

Item Type:Article
Academic Subject One:Academic Department - Civil Engineering - Geotechnic and highway
Departments / MOR / COE:Departments > Civil Engineering
ID Code:10788
Deposited By: Assoc Prof Dr Abd Nassir Matori
Deposited On:16 Dec 2013 23:48
Last Modified:16 Dec 2013 23:48

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