Mapping soil salinity using a combined spectral response index for bare soil and vegetation: A case study in the former lake Texcoco, Mexico

Fernandez-Buces, N.; Siebe, Christina; Cram, Silke; Palacio, José Luis

doi:10.1016/j.jaridenv.2005.08.005

Cited by 177 publications

(90 citation statements)

References 17 publications

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“…For example, FerOpen Access ARS A. ALLBED, L. KUMAR 375 nandez-Buces et al [42] used surface features to predict soil salinity. They found that the correlation coefficient between surface colors, EC and the sodium adsorption ratio (SAR) were statistically significant, which suggested that efflorescence color is a promising surface indicator with which to estimate soil salinity.…”

Section: Salt Features At the Soil Surfacementioning

confidence: 99%

“…Among the vegetation indices, NDVI, SAVI, Ratio Vegetation Index (RVI) and Tasseled Cap Transformation that consisted of the Soil Brightness Index (SBI), the Green Vegetation Index (GVI), and the Wetness Index (WI) have been used in soil salinity studies [26,29,30,57,[79][80][81]. Due to absorption in the visible range and high reflectance in the NIR range of the electromagnetic spectrum, the NDVI (Table 1) has been widely used to map soil salinity by monitoring halophytic plants [42,51,79]. The difference in reflectance between the visible and NIR bands is divided by the sum of the two bands' reflectance ( Table 1).…”

Section: Vegetation and Soil Indicesmentioning

confidence: 99%

“…This normalizes differences in the amount of incoming light and produces a number from −1 to 1; the range of actual values is approximately 0.1 for bare soils to 0.9 for healthy vegetation [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.…”

Section: Vegetation and Soil Indicesmentioning

confidence: 99%

“…On the other hand, different studies such as Tashi et al [104], Fernandez-Buces, et al [42] have successfully used indirect indicator to map soil salinity through monitoring the vegetation condition by using NDVI. Generally, these methods assume that soil salinity is the only stressor decreasing and damaging the crop condition, whereas other factors such as inappropriate soil management and water quality are neglected.…”

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

confidence: 99%

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

Allbed¹,

Kumar²

2013

ARS

297

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: Salt Features At the Soil Surfacementioning

confidence: 99%

Section: Vegetation and Soil Indicesmentioning

confidence: 99%

Section: Vegetation and Soil Indicesmentioning

confidence: 99%

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

confidence: 99%

See 2 more Smart Citations

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

Allbed¹,

Kumar²

2013

ARS

297

159

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“…It seems to en− able precise gathering of information concerning the structure and functioning of plant communities (Tucker 1980;Hobbs 1990;Behrens et al 2004;Starks et al 2006;Liu et al 2007). As data collecting using this method is easy and fast, it is possible to gather large numbers of measurements, and consequently to follow current changes of the vegetation and to monitor biosphere on a large scale (Laidler and Treitz 2003;Fernández−Buces et al 2006). It is also known that plant communities' analysis performed by means of spectral data confirms the results obtained for the classification based on floristically−phytosociological data (Hope et al 1993;Strąg and Barcikowski 2002).…”

Section: Introductionmentioning

confidence: 99%

Spectral characteristics of the Arctic ornithogenic tundra vegetation in Hornsund area, SW Spitsbergen

Zmudczynska

Zwolicki²,

Barcikowski³

et al. 2009

PPRes

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Solar radiation reflectance was analysed to characterize Arctic ornithogenic tun− dra developing in the vicinity of large breeding colony of Brunnich's guillemots Uria lomvia and kittiwakes Rissa tridactyla at the foot of Gnålberget cliff (Hornsund, SW Spitsbergen). Radiometric method was found to be a useful tool for studying structure and functioning of plant formations. We measured reflectance of four wavelengths: 554 nm (YG), 655 nm (RED), 870 nm (NIR) and 1650 nm (SWIR) at 10 plots situated along the transect running from the colony to the sea. Moreover, data of plant community character, species quantitative composition as well as total biomass were collected to relate these pa− rameters with the spectral values. The results showed that radiometric data characterized vegetation well enough to recognize the same plant communities on the basis of spectral reflectance as distinguished with traditional phytosociological methods.

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Characterisation of Productivity Limitation of Salt‐affected Lands in Different Climatic Regions of Europe Using Remote Sensing Derived Productivity Indicators

et al. 2011

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Soil salinity is a global issue and one of the major causes of land degradation. The large scale monitoring of salt‐affected areas is therefore very important to shed light on necessary rehabilitation measures and to avoid further land degradation. We address the productivity limitation of salt‐affected soils across the European continent by the usage of soil maps and high temporal resolution time series of satellite images derived from the SPOT vegetation sensor. Using the yearly dynamism of the vegetation signal derived from the Normalised Difference Vegetation Index, we decomposed the spectral curve into its base fraction and seasonal dynamism fractions next to an index approximating gross primary productivity. We observe gross primary productivity, base fraction and seasonal dynamism productivity differences of saline, sodic and not salt‐affected soils under croplands and grasslands in four major climatic zones of the European continent. Analysis of variance models and post hoc tests of mean productivity values indicate significant productivity differences between the observed salt‐affected and salt free areas, between management levels of soils as well as between the saline and sodic character of the land. The analysis gives insight into the limiting effect of climate in relation to the productivity of salt‐affected soils. The proposed indicators are applicable on the global level, are objective and readily repeatable with yearly updates, thus, might contribute to the global operational monitoring and assessment of degraded lands. Copyright © 2011 John Wiley & Sons, Ltd.

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Mapping soil salinity using a combined spectral response index for bare soil and vegetation: A case study in the former lake Texcoco, Mexico

Cited by 177 publications

References 17 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

Spectral characteristics of the Arctic ornithogenic tundra vegetation in Hornsund area, SW Spitsbergen

Characterisation of Productivity Limitation of Salt‐affected Lands in Different Climatic Regions of Europe Using Remote Sensing Derived Productivity Indicators

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