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

A. Hassaballa, Abdul-Haleem and Matori, Abdul Nasir and M. Shafri, H. Z. (2013) Generation of Extensive Moisture Content’s Map Using Weighted Moisture Values Over Multi-Surface Cover Types. Research Journal of Applied Sciences, Engineering and Technology . pp. 1-9. ISSN 2040-7467



The study utilized the Thermal Inertia method (TI) for soil surface moisture (θ) 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 θ 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 θ over the 3 different locations were generated and then validated using the field measured θ. A good agreement was found between the actual and estimated θ, so that, the R 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 θ map was generated using weighting factors from three partitions of the surface cover in order to produce an accurate θ map that considers the spectral disparity of variable surface covers within a single pixel.

Item Type:Article
Impact Factor:SJR Impact Factor: 0.15
Academic Subject One:Academic Department - Civil Engineering - Geotechnic and highway
Departments / MOR / COE:Departments > Civil Engineering
ID Code:10790
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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