Linearment mapping for ground water modelling

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I am interested in learning how to map linearments from Landsat 7/8 data for groundwater modelling.

Does anyone have the procedure? Please share the detailed process, as I want to map the groundwater for my project area.

Also, which model is best used for simulation of groundwater flow, contaminant transport and salt water intrusion?

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2 Answers

  1. "Groundwater Flows - a Case Study" by Norman Hopkins and David Hopkins briefly summarizes and references the photolineament work done by Vernon (1951), Faulkner (1973) and Diodato (1999), begining on Page 3 of the report linked below. I'd recommend reviewing this paper as a starting point for finding other articles on the subject:

    https://www.swfwmd.state.fl.us/files/database/site_file_sets/1851/Kings_Bay-Norman_Hopkins.pdf

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  2. Dear Charles,

    Many regions in the world are explicitly dependent on groundwater as one of the main water resource, specifically in the arid and semi-arid regions. Groundwater plays an important role in providing water for drinking, industrial and agricultural activities. This area in the past was destructed by army attacks by chemical weapons.The DRASTIC index comprises seven parameters with different rating and weighting value and is calculated based on the following equation

    V = × ∑ Wi Ri  --------(1)

    where: V = index value, Wi = weighting coefficient for parameter i and Ri = related rating value.And  sigma limit i=1 to 7

    DRASTIC method as designed by consists of seven physical parameters. The most important mapable factor that control groundwater pollution is the Depth to groundwater (D), Net recharge (R), Aquifer media (A), Soil media (S), Topography (T), Impact of vadose zone media (I), and Hydraulic conductivity (C). These parameters are weighted from one to five based on their relative significance in contributing to the contamination potential. All rating and weighting value are explained in Table (attached) based. The achieving index is a qualified measure of vulnerability to contamination; areas with a higher index value are more vulnerable than those with a lower index. Permeability and porosity are the main principal factors in determining the potential of the area to be considered as a water bearing aquifer. The area is characterized by at least four different hydrogeological aquifers due to presence of different geological units. Structural trends such as discontinuities can be detected in many forms, such as faults, joints, bedding planes or foliations, and may be useful in several environmental applications including landslide studies, hydrogeology and mineral exploration.At over 40 years, the Landsat series of satellites provides the longest temporal record of space-based surface observations. Landsat 1 was launched in 1972 and was followed by a series of consecutive, temporally overlapping, Landsat observatories (Landsat 2, 3, 4, 5 and 7) that have provided near-global coverage reflective and thermal wavelength observations with increasing spectral and spatial fidelity.Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared. Landsat 8 extends the remarkable 40 year Landsat record and has enhanced capabilities including new spectral bands in the blue and cirrus cloud-detection portion of the spectrum, two thermal bands, improved sensor signal-to-noise performance and associated improvements in radiometric resolution, and an improved duty cycle that allows collection of a significantly greater number of images per day. This paper introduces the current (2012–2017) Landsat Science Team's efforts to establish an initial understanding of Landsat 8 capabilities and the steps ahead in support of priorities identified by the team. Preliminary evaluation of Landsat 8 capabilities and identification of new science and applications opportunities are described with respect to calibration and radiometric characterization; surface reflectance; surface albedo; surface temperature, evapotranspiration and drought; agriculture; land cover, condition, disturbance and change; fresh and coastal water; and snow and ice. Insights into the development of derived ‘higher-level’ Landsat products are provided in recognition of the growing need for consistently processed, moderate spatial resolution, large area, long-term terrestrial data records for resource management and for climate and global change studies. The paper concludes with future prospects, emphasizing the opportunities for land imaging constellations by combining Landsat data with data collected from other international sensing systems, and consideration of successor Landsat mission requirements.

    Please find attached related Fig, table & article,

    Regards,

    Prem Baboo

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