Analysis of salinization dynamics by remote sensing in Hetao Irrigation District of North China

Yu, Ruihong; Liu, Tingxi; Xu, Yuan; Chen, Zhu; Zhang, Qing; Qu, Zhongyi; Liu, Xiaomin; Li, Changyou

doi:10.1016/j.agwat.2010.03.009

Cited by 137 publications

(82 citation statements)

References 12 publications

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“…Overall, the trends of land cover change in desert oasis of the present study were largely similar as compared to steppe and desert regions of northern China with oasis expansion (expanding urban areas as well as farmlands), decreasing area of ecotone rangelands and degraded land due to being desertified by agricultural intensification, wind erosion, water deficiency and overgrazing in the last decades (Li et al, 2004b;Luo et al, 2008;Hao and Ren, 2009;Yu et al, 2010). Although the warmer and wetter climate of the Hotan Oasis (Fig.…”

Section: Discussionmentioning

confidence: 60%

“…As Table 2 shows, the results from this method provide much better classification accuracy than those from MLC without using these indexes, in which overall classification accuracy increased by roughly 4-5 %. For example, the NDSI allows the detection of salt-affected soils and areas potentially at risk of salinization in the degraded lands, which are mostly distributed in the marginal sites around the oasis (Yu et al, 2010). However, this is time-consuming, particularly on a broader scale.…”

Section: Discussionmentioning

confidence: 99%

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Analysis of land cover change and its driving forces in a desert oasis landscape of Xinjiang, northwest China

Amuti

Luo

2014

Solid Earth

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Abstract. The combined effects of drought, warming and the changes in land cover have caused severe land degradation for several decades in the extremely arid desert oases of southern Xinjiang, northwest China. Land cover classifications of Landsat images in 1990, 2000 and 2008 were performed based on the multistage supervised classification scheme using the maximum likelihood classifier integrated with conventional vegetation and soil indexes, which improved overall accuracies by 4-5 % compared to the standard classification method. Based on the detection of changes in land cover during 1990-2008 using remote sensing (RS) and a geographic information system (GIS), it can be found that the oasis significantly (+35 %) increased, while the area of ecotone decreased (−43 %). The major trends of the land cover changes were the notable growth of the oasis and the reduction of the desert-oasis ecotone. These changes were mainly a result of the intensified human activities such as land and water exploitation as well as overgrazing. The results of this study indicate that the oasis environment will be deteriorated by increase in potential areas of land degradation if the trend of desert moving further inward and the shrinking of the ecotone continues over the next decades.

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Section: Discussionmentioning

confidence: 60%

Section: Discussionmentioning

confidence: 99%

Analysis of land cover change and its driving forces in a desert oasis landscape of Xinjiang, northwest China

Amuti

Luo

2014

Solid Earth

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“…The spatial and temporal distributions of soil salinization in Jiefangzha Irrigation Sub-district were determined by analyzing remote sensing images acquired at the end of March. The irrigation sub-district is in the western part of Hetao Irrigation District in Inner Mongolia, China [10]. Then, Wang [11] used remote sensing images for August and September to extract data on the salinization of the delta oasis of Weigan and Kuqa rivers.…”

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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“…Their results indicated that the use of Landsat TM imagery effectively identified bare soils that were characterized by high spectral reflectance due to a high salt content on the surface, and the approach of integrating DTA with remote sensing data was more accurate and effective compared to using remote sensing analysis alone. Many researchers, including Katawatin and Kotrapat [52], Mehrjardi [53] and Yu et al [54] have investigated the utility and effectiveness of ETM+ data for soil salinity mapping and monitoring. For example, in Thailand, Katawatin and Kotrapat [52] investigated the use of Landsat-7 ETM+ with different combinations of three sources of ancillary data (topography, geology, and underground water quality) for soil salinity mapping.…”

Section: Multispectral Satellite Sensors For Mapping and Monitoring Smentioning

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

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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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Analysis of salinization dynamics by remote sensing in Hetao Irrigation District of North China

Cited by 137 publications

References 12 publications

Analysis of land cover change and its driving forces in a desert oasis landscape of Xinjiang, northwest China

Analysis of land cover change and its driving forces in a desert oasis landscape of Xinjiang, northwest China

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

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

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