Characterizing soil salinity in irrigated agriculture using a remote sensing approach

Abbas, Akhtar; Khan, Shahbaz; Hussain, Nisar; Hanjra, Munir A.; Akbar, Saud

doi:10.1016/j.pce.2010.12.004

Cited by 235 publications

(132 citation statements)

References 27 publications

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“…Studies revealing pressures from unsustainable agriculture practices have mainly focused on effects from irrigation strategies (Abbas et al 2013;Martínez-López et al 2014;Shahriar Pervez et al 2014), nitrogen treatment (Tilling et al 2007;Chen et al 2010;Perry et al 2012), and crop characterization (Zhong et al 2014;Alcantara et al 2012;Jain et al 2013). Structural properties of the studied areas are less revealing than spectral ones for these tasks, therefore passive multispectral or hyperspectral data have mainly been used.…”

Section: Agriculture Monitoringmentioning

confidence: 99%

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Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

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Recognizing the imperative need for biodiversity protection, the Convention on Biological Diversity (CBD) has recently established new targets towards 2020, the so-called Aichi targets, and updated proposed sets of indicators to quantitatively monitor the progress towards these targets. Remote sensing has been increasingly contributing to timely, accurate, and cost-effective assessment of biodiversity-related characteristics and functions during the last years. However, most relevant studies constitute individual research efforts, rarely related with the extraction of widely adopted CBD biodiversity indicators. Furthermore, systematic operational use of remote sensing data by managing authorities has still been limited. In this study, the Aichi targets and the related CBD indicators whose monitoring can be facilitated by remote sensing are identified. For each headline indicator a number of recent remote sensing approaches able for the extraction of related properties are reviewed. Methods cover a wide range of fields, including: habitat extent and condition monitoring; species distribution; pressures from unsustainable management, pollution and climate change; ecosystem service monitoring; and conservation status assessment of protected areas. The advantages and limitations of different remote sensing data and algorithms are discussed. Sorting of the methods based on their reported accuracies is attempted, when possible. The extensive literature survey aims at reviewing highly performing methods that can be used for large-area, effective, and timely biodiversity assessment, to encourage the more systematic use of remote sensing solutions in monitoring progress towards the Aichi targets, and to decrease the gaps between the remote sensing and management communities.

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Section: Agriculture Monitoringmentioning

confidence: 99%

“…LISS-II time series have been useful in extracting ground salinity indices (Abbas et al 2013). Following the LU mapping of the study area, salinity affected soils of different degree were identified as crucial tool for irrigation management.…”

Section: Agriculture Monitoringmentioning

confidence: 99%

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

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“…Soil salinization is so much so extensive that it now spreads at the rate of two million hectares per year [2,3]. This requires the development of effective preventive and management measures, including rapid reliable means of getting information on spatial and temporal distributions of saline-alkali lands across the globe.…”

Section: Introductionmentioning

confidence: 99%

Using Modified Remote Sensing Imagery to Interpret Changes in Cultivated Land under Saline-Alkali Conditions

et al. 2016

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Abstract:Managing the rapidly changing saline-alkali land under cultivation in the coastal areas of China is important not only for mitigating the negative impacts of such land on the environment, but also for ensuring long-term sustainability of agriculture. In this light, setting up rapid monitoring systems to assist decision-making in developing sustainable management plans is therefore an absolute necessity. In this study, we developed a new interpretation system where symbols are used to grade and classify saline-alkali lands in space and time, based on the characteristics of plant cover and features of remote sensing images. The system was used in combination with the maximum likelihood supervised classification to analyze the changes in cultivated lands under saline-alkali conditions in Huanghua City. The analysis revealed changes in the area and spatial distribution of cultivated under saline-alkali conditions in the region. The total area of saline-alkali land was 139,588.8 ha in 1992 and 134,477.5 ha in 2011. Compared with 1992, severely and moderately saline-alkali land areas decreased in 2011. However, non/slightly saline land areas increased over that in 1992. The results showed that the salinization rate of arable lands in Huanghua City decreased from 1992 to 2011. The moderately saline-alkali land southeast of the city transformed into non/slightly saline-alkaline. Then, severely saline-alkali land far from the coastal zone west of the city became moderately saline-alkaline. Spatial changes in cultivated saline-alkali lands in Huanghua City were such that the centers of gravity (CG) of severely and non/slightly saline-alkali land moved closer the coastline, while that of the moderately saline-alkali land moved from southwest coastal line to northwest. Factors influencing changes in cultivated lands in the saline-alkali ecosystem included climate, hydrology and human activity. Thus, studies are required to further explore these factors in order to build a better understanding into the relative contributions of the changes saline-alkali state on the functions of coastline ecosystems.

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“…This is particularly the problem of Argentina, Egypt, India, Iraq, Pakistan, Syria and Iran (Rhoades and Corwin, 1990). Soil salinization is characterized by its evolution in both time and space (Abbas et al, 2013). Therefore, the use of traditional methods (laboratory analysis, field survey) for its monitoring is insufficient and unsuited to the rate of evolution of this phenomenon and is demanding high costs, contrariwise to the optical satellite imagery that can be a powerful tool for mapping and continuous monitoring of the progression of this phenomenon by its synoptic coverage and the sensitivity of the electromagnetic signal to soil parameters at the first centimeters of the surface layer, such as the dielectric constant that is directly related to the salt content of the soil (Farifteh et al, 2006;Metternichet and Zinck, 2003;Mougenot and Pouget, 1993).…”

Section: Introductionmentioning

confidence: 99%

“…Abbas et al, (2013) and Khan et al (2001) tested several indices namely the index of brightness (BI), the Normalized Difference Salinity Index (NDSI) and Salinity Index (SI). In the Norway Indian Project (Indo-Dutch Network Project, 2003), three salinity indices have been proposed; SI-1, SI-2 and SI-3.…”

Section: Introductionmentioning

confidence: 99%

Mapping soil salinity in irrigated land using optical remote sensing data

Lhissoui¹,

Harti²,

Chokmani

2014

EJSS

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Article Info Received : 01.05.2014 Accepted : 14.10.2014 Soil salinity caused by natural or human-induced processes is certainly a severe environmental problem that already affects 400 million hectares and seriously threatens an equivalent surface. Salinization causes negative effects on the ground; it affects agricultural production, infrastructure, water resources and biodiversity. In semi-arid and arid areas, 21% of irrigated lands suffer from waterlogging, salinity and/or sodicity that reduce their yields. 77 million hectares are saline soils induced by human activity, including 58% in the irrigated areas. In the irrigated perimeter of Tadla plain (central Morocco), the increased use of saline groundwater and surface water, coupled with agricultural intensification leads to the deterioration of soil quality. Experimental methods for monitoring soil salinity by direct measurements in situ are very demanding of time and resources, and also very limited in terms of spatial coverage. Several studies have described the usefulness of remote sensing for mapping salinity by its synoptic coverage and the sensitivity of the electromagnetic signal to surface soil parameters. In this study, we used an image of the TM Landsat sensor and field measurements of electrical conductivity (EC), the correlation between the image data and field measurements allowed us to develop a semi-empirical model allowing the mapping of soil salinity in the irrigated perimeter of Tadla plain. The validation of this model by the ground truth provides a correlation coefficient r² = 0.90. Map obtained from this model allows the identification of different salinization classes in the study area.

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Characterizing soil salinity in irrigated agriculture using a remote sensing approach

Cited by 235 publications

References 27 publications

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

Using Modified Remote Sensing Imagery to Interpret Changes in Cultivated Land under Saline-Alkali Conditions

Mapping soil salinity in irrigated land using optical remote sensing data

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