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2014 (Vol. 7, Issue: 8)
Article Information:

Generation of Extensive Moisture Content’s Map Using Weighted Moisture Values over Multi-Surface Cover Types

A.A. Hassaballa, A.N. Matori and H.Z.M. Shafri
Corresponding Author:  A.A. Hassaballa 

Key words:  MODIS applications, moisture content, perak tengah and manjung, remote sensing, spectral disparity, thermal inertia method,
Vol. 7 , (8): 1603-1611
Submitted Accepted Published
May 21, 2013 June 15, 2013 February 27, 2014

The study utilized the Thermal Inertia method (TI) for soil surface moisture (&theta) estimation, which is based mainly on two sets of parameters. First, the spatial set, which includes the determination of satellite’s surface Temperature (Ts) and the Vegetation Indices (VI). Second, the set of soil parameters, which includes the determination of soil Field Capacity (FC) and the Permanent Wilting Point (PWP) as upper and lower boundaries of the soil water capacity respectively. In this study, MODIS (Aqua/Terra) images were used for estimating the spatial set (Ts and NDVI). Moreover, 3 meteorological stations at 3 different surface cover areas within the study area were selected (Seberang Perak for agricultural land, UTP for multi-cover land and Sitiawan for urban area), then in-situ measurements of FC, PWP, TS and &theta were conducted over each station at the time of MODIS satellite overpass. In order to overcome the atmospheric attenuation, the satellite’ Ts was rectified by the field measured Ts through regression plots. After that, the satellite &theta over the 3 different locations were generated and then validated using the field measured &theta. A good agreement was found between the actual and estimated &theta, so that, the R2 over the agricultural area found to be 88%, over the area with multiple surface cover was 81% and over the urban area was 66%. After assuring the validity and the applicability of the used technique, a generalized &theta map was generated using weighting factors from three partitions of the surface cover in order to produce an accurate &theta map that considers the spectral disparity of variable surface covers within a single pixel.
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  Cite this Reference:
A.A. Hassaballa, A.N. Matori and H.Z.M. Shafri , 2014. Generation of Extensive Moisture Content’s Map Using Weighted Moisture Values over Multi-Surface Cover Types.  Research Journal of Applied Sciences, Engineering and Technology, 7(8): 1603-1611.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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