Spatial variability of soil quality in the surroundings of a saline lake environment

González, María Eugenia Pérez; Rodríguez, María del Pilar García; Gonzalez-Quiñones, Vanesa; Ballesta, Raimundo Jiménez

doi:10.1007/s00254-006-0317-y

Cited by 11 publications

(8 citation statements)

References 8 publications

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“…For example, in the case of vegetation indices, some researchers like Elnaggar & Noller [51] have found that vegetation indices (NDVI, SAVI, and GVI) had a weak correlation with the EC measurements, which suggests that halophytes could not be used to identify salt-affected soils under vegetation cover. Sethi et al [108] in a study in India, found the same, whereas Pérez González et al [83] found the NDVI to be very useful in detecting halophytic plants and relating it to saline soils. Despite these varying results of using halophytic plants as indirect indicators for soil salinity detection and mapping, it is ineffective to monitor and map soil salinity through non-halophyte plants, as they cannot live in highly saline areas.…”

Section: Issues In Mapping Soil Salinity In Arid and Semi-arid Regionmentioning

confidence: 82%

“…In Mexico, FernandezBuces et al [42] found a significant correlation between NDVI, EC and SAR. Moreover, Pérez González et al [83] have correlated the NDVI of halophytic vegetation with the spatial variability of the chemical and physical properties of a transect to identify saline hydromorphic soils. Their results showed the NDVI to be very proper in detecting halophytic plant and relating it to saline soils.…”

Section: Vegetation and Soil Indicesmentioning

confidence: 99%

See 1 more Smart Citation

Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review

Allbed¹,

Kumar²

2013

ARS

312

159

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Soil salinity is a serious environmental problem especially in arid and semiarid areas. It either occurs naturally or is human-induced. High levels of soil salinity negatively affect crop growth and productivity leading land degradation ultimately. Thus, it is important to monitor and map soil salinity at an early stage to enact effective soil reclamation program that helps lessen or prevent future increase in soil salinity. Remote sensing has outperformed the traditional method for assessing soil salinity offering more informative and professional rapid assessment techniques for monitoring and mapping soil salinity. Soil salinity can be identified from remote sensing data obtained by different sensors by way of direct indicators that refer to salt features that are visible at the soil surface as well as indirect indicators such as the presence of halophytic plant and assessing the performance level of salt-tolerant crops. The purposes of this paper are to 1) discuss some soil salinity indicators; 2) review the satellite sensors and methods used for remote monitoring, detecting and mapping of soil salinity, particularly in arid and semi-arid regions; 3) review various spectral vegetation and salinity indices that have been developed and proposed for soil salinity detection and mapping, with an emphasis on soil salinity mapping and assessment in arid and semi-arid regions; and 4) highlight the most important issues limiting the use of remote sensing for soil salinity mapping, particularly in arid and semi-arid regions.

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Section: Issues In Mapping Soil Salinity In Arid and Semi-arid Regionmentioning

confidence: 82%

Section: Vegetation and Soil Indicesmentioning

confidence: 99%

Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review

Allbed¹,

Kumar²

2013

ARS

312

159

View full text Add to dashboard Cite

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“…In spite of its lower resolution, Landsat remains a popular type of image used in these studies because of its low cost, number of years of operations (>30 yr), and relatively high spatial and spectral resolution. Numerous investigations have focused on soil salinity in arid areas using remote sensing (Metternicht and Zinck, 2003) and in combining GIS and remote sensing for watershed assessment (e.g., Basnyat et al, 2000;Perez-Gonzalez et al, 2006).…”

Section: Remote Sensing Gis and Sediment Geochemistrymentioning

confidence: 99%

Geochemical processes contributing to the contamination of soil and surface waters in the Rio Conchos basin, Mexico

et al. 2008

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A geochemical characterization of the middle Rio Conchos basin is presented based on two contaminants, salts (Ca and Na) and toxic metalloids (As and Sb). Their content in surface water and sediment samples was determined, and their spatial distribution was mapped to show the relationship to each other, to the geology and hydrology, and to other potential factors affecting their distribution (i.e., prevailing winds). Correlation analyses between salts, toxic metalloids, and associated elements, and their spatial distribution aided in determining their sources, which included mines, rock outcrops, urban centers, irrigation waste water, and agricultural runoff. The salinity of the Rio Conchos reached a critical level after receiving waters of its contaminated tributary Rio Chuviscar and irrigation drain returns from the Irrigation District 005, but further downstream the water quality improved when it mixed with Ca-rich water, signifi cantly reducing its Na concentration. Based on its spatial distribution, the content of As in alluvial material was found to be associated with the presence of Ag-Pb mines and to a lesser degree to Oligocene ignimbrites. A correlation of As with Sb, Cu, and Bi suggests that natural sources are the dominant contribution of As within the area, although concentrations above permissible level for water were found in river water samples at a few places where sewage was also present, suggesting an additional (anthropogenic) important source of As. A characterization of natural sources affecting the chemistry of surface waters is a fi rst step toward understanding the natural processes taking place and for documenting natural background levels that are needed to predict the response of the environment to various human activities.

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“…NDVI is mainly used to measure crop health application. In poor spatial coverage, vegetation species can be distinguished spectrally by NDVI (Pérez González et al, 2006). (Brown et al, 2013;Xiao et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

“…In this study, use of NDVI was helpful to detect the saline soil and vegetation that is under stress. (Pérez González et al, 2006). A study was conducted in the Da'an, north China to evaluate the spatial heterogeneity of the land surface.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal change assessment using normalize difference vegetative index and spectral analysis techniques for vegetation cover on Wadi Auranah

2014

Global NEST Journal

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Wadi Auranah is one of the potential wadis in respect of land use, located on the western shield (Hijaz escarpment) of Saudi Arabia. A spatio-temporal change assessment of this wadi (valley) was conducted with the help of landsat data. The results of the spectral analysis and NDVI for vegetation changes assessment reveals a continuous increasing trend of land cover biomass in specific parts of the wadi. Geological review of geologic map supports soil fertility. It is observed from field assessment of the study area that has potential for more land more to be cultivated. About 73 km 2 of vegetation land cover has been increased in the last 20 years. Treated wastewater is the main source of water supply that is used for afforestation and cultivation purpose.

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Spatial variability of soil quality in the surroundings of a saline lake environment

Cited by 11 publications

References 8 publications

Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review

Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review

Geochemical processes contributing to the contamination of soil and surface waters in the Rio Conchos basin, Mexico

Spatio-temporal change assessment using normalize difference vegetative index and spectral analysis techniques for vegetation cover on Wadi Auranah

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