Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization

Dehaan, Remy; Taylor, G. R.

doi:10.1016/s0034-4257(01)00321-2

Cited by 241 publications

(94 citation statements)

References 14 publications

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“…In the coastal area, people build breakwater to protect the upper tidal flat from sea water intrusion. Meanwhile, some anthropogenic activities such as unadvisable irrigation and reclamation might lead to secondary salinization (Lax et al 1994;Dehaan and Taylor 2002;Rietz and Haynes 2003). Thus, we should take into account appropriate human activities in saline land to prevent salinization.…”

Section: Discussionmentioning

confidence: 99%

The spatial distribution characteristics of soil salinity in coastal zone of the Yellow River Delta

Han

et al. 2013

Environ Earth Sci

155

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Section: Discussionmentioning

confidence: 99%

The spatial distribution characteristics of soil salinity in coastal zone of the Yellow River Delta

Han

et al. 2013

Environ Earth Sci

155

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“…The found that differentiation of salt-affected soils based on the mapping of halophytic plants simply achieved via the employing of the principal component analysis of Geoscan imagery. The potential of the HyMap airborne hyperspectral sensor, which captures images within a spectral range of 450 -2500 nm in 128 bands, for soil salinity studies has been tested by Dehaan and Taylor [73,74]. They concluded that HyMap has considerable potential for mapping saline areas that characterize the variety of salinity levels and scattered halophyte plants.…”

Section: Hyperspectral Remote Sensing Datamentioning

confidence: 99%

“…However, these methods are time-consuming and costly since dense sampling is required to adequately characterize the spatial variability of an area [11][12][13][14]. Ghabour & Daels [15] agreed that detection soil salinity traditionally is time consuming, but remote sensing data and techniques offer more efficiently and economically rapid tools and techniques for monitoring and mapping soil salinity.…”

Section: Introductionmentioning

confidence: 99%

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

Allbed¹,

Kumar²

2013

ARS

301

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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“…Many researchers used the NDVI as a biophysical indicator to analyze indirect effects of environmental changes (Aguilar et al 2012;Barton, 2012), including those due to processes of salinization (Naumann et al 2008;Zhang et al 2011). The delineation of type and status of vegetation could provide a spatial overview of salinity distribution (Dehaan and Taylor, 2002;Tilley et al 2007) and support land planners to reduce the risk resulting from salinization (Wiegand et al 1994). Increased water salinity induces changes in chlorophyll concentration and therefore a photosynthesis slowdown (DeLaune et al 1987).…”

Section: Introductionmentioning

confidence: 99%

ASTER and Worldview-2 satellite data comparison for identification of groundwater salinization effects on the Classe pine forest vegetation (Ravenna, Italy)

Barbarella

Giglio

Greggio

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The availability of a large number of data acquired by satellite sensors with different spatial and spectral resolutions has always required an evaluation of their synergistic use. The integration of dataset of images coming from different sources can be an optimal solution for the study of various environmental problems which need a continuous monitoring (coastal development, forest evolution, land use changes etc.). The Classe pinewood, an important safeguarded biodiversity hot spot near Ravenna city (Italy), is historically affected by the groundwater salinization. Since changes in the water concentration are able to induce variations of the leaf properties and vegetation cover, recognizable by surveys carried out with different spectral bands, the comparison between ASTER and Worldview-2 data was performed using the (Normalized Difference Vegetation Index) NDVI. For each satellite data, the same Areas of Interest (AOIs) were selected within the most widespread cover, Thermophilic Deciduous Forest (TDF). The NDVI was calculated, statistically evaluated and the AOI rankings were built. In order to evaluate the difference between the results provided by the two images, statistical tests were applied on the average NDVI values. Finally the calculated NDVI were compared with groundwater salinity data collected during a contemporary field monitoring campaign. Based on groundwater salinity the same AOIs ranking was reached for both satellite sensors. This study suggests the opportunity to employ the medium resolution Aster images in continuity with high resolution WarldView-2 dataset.

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Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization

Cited by 241 publications

References 14 publications

The spatial distribution characteristics of soil salinity in coastal zone of the Yellow River Delta

The spatial distribution characteristics of soil salinity in coastal zone of the Yellow River Delta

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

ASTER and Worldview-2 satellite data comparison for identification of groundwater salinization effects on the Classe pine forest vegetation (Ravenna, Italy)

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