Multispectral Remote Sensing of Saline Seeps

Chaturvedi, L.; Carver, K.; Harlan, Johan; Hancock, G. D.; Small, Frederick V.; Dalstead, Kevin J.

doi:10.1109/tgrs.1983.350549

Cited by 25 publications

(8 citation statements)

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“…A few examples are: (i) saline water, Klemas and Hardisky (1987), Calvin et al (1987) and discussed the dependence of brightness temperature with salinity and true temperature (passive microwave); (ii) soil salinity or soil moisture, Carver et al (1978) and Colwell (1983) showed that salinity detection produced better results for the lowest moisture contents. Chaturvedi et al (1983) with a L and C bands airborne radiometer and a L band scatterometer were unable to identify accurately saline seeps. A two layered model representative of a fresh and saline groundwater association is proposed by .…”

Section: Microwavementioning

confidence: 98%

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Remote sensing of salt affected soils

Mougenot¹,

Pouget²,

Epema

1993

Remote Sensing Reviews

181

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Remote sensing is an important aid in mapping and surveying salt affected soils. Both spatial and temporal variation can be followed. We emphasize this overview on reflectance properties by sunlight. Thermal infrared information, which can be used to detect hygroscopic characteristics of salts, and microwaves, which give indirectly information on salt are only described briefly.Spectral properties of different salts consisting of chlorides and sulphates are presented. Also calcite spectra are evaluated. This evaluation gives the background to examine possibilities of present day operational satellites and new technologies like imaging spectroscopy. Possibilities of operational systems, working in broad bands are treated separately with direct observations on bare soils and indirect observations on vegetation covered surfaces. In the visible part of the spectrum the high reflectance of salt covered areas is prominent. Bands in the middle infrared give information on moisture content, which is often associated with salt content differences, and some information on type of salts. The overview ends with a discussion on possibilities of future remote sensing system.

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Section: Microwavementioning

confidence: 98%

“…Chaturvedi et al, (1983) showed that potential saline seeps cannot be detected by thermal imagery. Giovacchini et al (1982) obtained information about evaporation of playas and water loss with accuracy of 50%.…”

Section: Thermal Infraredmentioning

confidence: 99%

Remote sensing of salt affected soils

Mougenot¹,

Pouget²,

Epema

1993

Remote Sensing Reviews

181

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“…Dwivedi [14] used the first four bands of MSS to designate salty soils. Chaturvedi et al [15] and Singh and Srivastav [16] used brightness and thermal temperature layers to detect soil salinity. Menenti et al [17] used 3 bands of TM (1, 5, and 7) to detect salt minerals.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Different Soil Salinity Mapping Using Remote Sensing Techniques in Arid Ecosystems, Saudi Arabia

Elhag

2016

Journal of Sensors

121

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Land covers in Saudi Arabia are generally described as salty soils with sand dunes and sand sheets. Waterlogging and higher soil salinity are major challenges to sustaining agricultural practices in Saudi Arabia principally within closed drainage basins. Agricultural practices in Saudi Arabia were flourishing in the last two decades. The newly reclaimed lands were added annually and distributed all over the country. Irrigation techniques are mostly modernized to fulfill water saving strategies. Nevertheless, water resources in Saudi Arabia are under stress and groundwater levels are depleted rapidly due to heavy abstraction that may exceed crop water requirements in most of the cases due to high evaporation rates. The excess use of irrigational water leads to severe soil salinity problems. Applications of remote sensing technique in agricultural practices became widely distinctive and cover multidisciplinary principal interests on both local and regional levels. The most important remote sensing applications in agricultural practices are vegetation indices which are related to vegetation and water especially in an arid environment. Soil salinity mapping in an arid ecosystem using remote sensing data is a demanding task. Several soil salinity indices were implemented and evaluated to detect soil salinity effectively and quantitatively. Thematic maps of soil salinity were satisfactorily produced and assessed.

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“…Remote sensing methods such as electromagnetic induction (DeJong et al, 1979;Rhoades & Corwin, 1981;Williams & Baker, 1982;Oluic & Kovacevic, 1983;Wollenhaupt et al, 1986;Palacky, 1987;Williams & Hoey, 1987;Kachanoski et al, 1988;Mazac et al, 1988;Corwin & Rhoades, 1990;Slavich & Petterson, 1990;Diaz & Herrero, 1992;Greenhouse & Slaine, 1983;Sudduth & Kitchen, 1993;Doolittle et al, 1994;Jaynes et al, 1995;Lesch et al, 1995) electrical resistivity tomography (Mazac et al, 1988;Daily et al, 1992), near-IR measurements (Sudduth & Hummel, 1993),x-ray tomography (Tollner, 1994) thermal-IR measurements (Ottle et al, 1989;Jupp et al, 1990;Shih & Jordan, 1993;Moran et al, 1994b), NOAA advanced very high resolution radiometry (Huang et al, 1995) microwave measurements (Jackson & Schmugge, 1986;Jupp et al, 1990;Wood et al, 1993;Schmugge et al, 1994) ground penetrating radar (Topp et al, 1980;Doolittle, 1987;Truman et al, 1988;Raper et al, 1990;Kung & Donohue, 1991;Kung & Lu, 1993), and multispectral scanning (Everitt et al, 1977;Chaturvedi et al...…”

Section: Measurement and Estimation Methodsmentioning

confidence: 99%

“…The most important remotely sensed satellite information for surface and subsurface hydrologists is probably the estimation of soil moisture and ET derived from satellite thermalinfrared images and/or NOAA advanced very high resolution radiometer (AVHRR) satellite data used in combination with energy balance models at the land-atmosphere interface (Carlson, 1985;Engman, 1986;Taconet et al, 1986;Ottle et al, 1989;Carlson et al, 1990;Shih & Jordan, 1993;Moran et al, 1994b;Huang et al, 1995) and the determination of effective meso-scale hydraulic properties using the inverse modeling approach combined with remotely sensed data from surface reflectance, surface temperature, and multifrequency microwave techniques (Feddes et al, 1993). Microwave techniques, particularly passive microwave measurements, have shown good correlation with ground data of surface soil moisture (Jackson & Schmugge, 1986;Wood et al, 1993;Chaturvedi et al, 1983;Schmugge et al, 1994). Ground-penetrating radar has been demonstrated to be a potential tool to nondestructively map soil layers with textural discontinuities, and also may have potential in mapping certain types of preferential flow (Kung & Donohue, 1991;Kung & Lu, 1993).…”

Section: Measurement and Estimation Methodsmentioning

confidence: 99%

GIS Applications of Deterministic Solute Transport Models for Regional-Scale Assessment of Non-Point Source Pollutants in the Vadose Zone

Corwin

2015

SSSA Special Publications

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In recent years, worldwide attention has shifted from point source to non-point source (NPS) pollutants, particularly with regard to the pollution of surface and subsurface sources of drinking water. This is due to the widespread occurrence and potential chronic health effects of NPS pollutants. The ubiquitous nature of NPS pollutants poses a complex technical problem. The area1 extent of their contamination increases the complexity and sheer volume of data required for assessment far beyond that of typical point source pollutants. The spatial nature of the NPS pollution problem necessitates the use of a geographic information system (GIS) to manipulate, retrieve, and display the large volumes of spatial data. This chapter provides an overview of the components (i.e., spatial variability, scale dependency, parameter-data estimation and measurement, uncertainty analysis, and others) required to successfully model NPS pollutants with GIS and a review of recent applications of GIS to the modeling of non-point source pollutants in the vadose zone with deterministic solute transport models. The compatibility, strengths, and weaknesses of coupling a GIS to deterministic one-dimensional transport models are discussed. BACKGROUND IN NON-POINT SOURCE POLLUTANTS

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Multispectral Remote Sensing of Saline Seeps

Cited by 25 publications

References 0 publications

Remote sensing of salt affected soils

Remote sensing of salt affected soils

Evaluation of Different Soil Salinity Mapping Using Remote Sensing Techniques in Arid Ecosystems, Saudi Arabia

GIS Applications of Deterministic Solute Transport Models for Regional-Scale Assessment of Non-Point Source Pollutants in the Vadose Zone

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