Soil salinity characteristics using moderate resolution imaging spectroradiometer (MODIS) images and statistical analysis

Shamsi, Seyed Rashid Fallah; Zare, Sanaz; Abtahi, Seyed Ali

doi:10.1080/03650340.2011.646996

Cited by 44 publications

(20 citation statements)

References 33 publications

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“…Moreover, in the past time more frequent soil observations have been inhibited by cost considerations. Currently, satellite remote sensing offers an alternative inexpensive tool for soil salinity mapping at a variety of spatio-temporal scales (FernandezBuces et al, 2006;Fan et al, 2012;Fallah Shamsi et al, 2013). It is accepted that passive remote sensing can only sense the superficial soil, while subsoil salinity may be a major cause of yield reduction particularly over dryland regions (Rengasamy et al, 2003).…”

Section: Introductionmentioning

confidence: 98%

“…In addition to the Landsat sensors, coarse-resolution sensors generally provide more frequent observations, represented by the MODIS (MODerate-resolution Imaging Spectroradiometer) sensors. The daily MODIS data have been used for monitoring soil salinity (Lobell et al, 2010;Fallah Shamsi et al, 2013). However, two major weaknesses may prevent the use of coarse-resolution data for long-term soil studies.…”

Section: Introductionmentioning

confidence: 99%

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Towards decadal soil salinity mapping using Landsat time series data

Fan

Weng

Tao³

2016

International Journal of Applied Earth Observation and Geoinfor

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Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Towards decadal soil salinity mapping using Landsat time series data

Fan

Weng

Tao³

2016

International Journal of Applied Earth Observation and Geoinfor

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“…The triangular cluster plot approach was applied to collect soil samples [20]. At each site four samples were collected.…”

Section: Soil Samples and Preprocessingmentioning

confidence: 99%

Remote Sensing of Soil Alkalinity and Salinity in the Wuyu’er-Shuangyang River Basin, Northeast China

et al. 2016

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Abstract:The Songnen Plain of the Northeast China is one of the three largest soda saline-alkali regions worldwide. To better understand soil alkalinization and salinization in this important agricultural region, it is vital to explore the distribution and variation of soil alkalinity and salinity in space and time. This study examined soil properties and identified the variables to extract soil alkalinity and salinity via physico-chemical, statistical, spectral, and image analysis. The physico-chemical and statistical results suggested that alkaline soils, coming from the main solute Na 2 CO 3 and NaHCO 3 in parent rocks, characterized the study area. The pH and electric conductivity (EC ) were correlated with both narrow band and broad band reflectance. For soil pH, the sensitive bands were in short wavelength (VIS) and the band with the highest correlation was 475 nm (r = 0.84). For soil EC, the sensitive bands were also in VIS and the band with the highest correlation was 354 nm (r = 0.84). With the stepwise regression, it was found that the pH was sensitive to reflectance of OLI band 2 and band 6, while the EC was only sensitive to band 1. The R 2 Adj (0.73 and 0.72) and root mean square error (RMSE) (0.98 and 1.07 dS/m) indicated that, the two stepwise regression models could estimate soil alkalinity and salinity with a considerable accuracy. Spatial distributions of soil alkalinity and salinity were mapped from the OLI image with the RMSE of 1.01 and 0.64 dS/m, respectively. Soil alkalinity was related to salinity but most soils in the study area were non-saline soils. The area of alkaline soils was 44.46% of the basin. Highly alkaline soils were close to the Zhalong wetland and downstream of rivers, which could become a severe concern for crop productivity in this area.

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“…By relating the spectral parameters from MODIS images (e.g., vegetation index) to salinization, Bouaziz et al [11] constructed the linear spectral unmixing (LSU) model to examine the status of soil salinization in semi-arid areas. Nonetheless, when extracting and monitoring the information of soil salinization, researchers mostly used the medium/low spatial resolution images [12][13][14][15][16]. While broadly satisfying the monitoring of soil salinization, the application of relatively coarse spatial resolution satellite images limits the ability to describe soil salinization in detail.…”

Section: Introductionmentioning

confidence: 99%

Formation and Evolution of Soil Salinization in Shouguang City Based on PMS and OLI/TM Sensors

Dong

Tang

Xing³

et al. 2019

Water

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To explore the evolution process of soil salinization in Shouguang, the current study applied the Pan and Multi-spectra Sensor (PMS), Operational Land Imager (OLI) and Thematic Mapper (TM) data to establish a remote sensing monitoring model of soil salinization. Based on the vegetation and salinity indexes, we extracted the information of soil salinization in the flourishing period of plant growth in Shouguang in 2017. At the same time, we monitored the spatial and temporal patterns of soil salinization in Shouguang from 1998 to 2017. We compared the range of soil salinization reflected by remote sensing data and the regional groundwater level and revealed the formation and evolution mechanism of soil salinization in Shouguang. The results reflected that the distribution of soil salinization in Shouguang demonstrated obvious banding characteristics in distribution, and soil salinization gradually increased from the south to the north. Based on the imagery interpretation of Landsat images of three periods from 1998 to 2017, we found that the area of saline land in Shouguang severely decreased as a whole, but the coastal salinization intensified. Moreover, the inversion of surface soil salinity using the GF-1 satellite PMS image has a high precision, and the goodness of fit (R2) is up to 0.871. Compared with the GF-1 image, the Landsat image is more suitable for grading and monitoring soil salinization in a wide range. We also confirmed that the change in ground water level is the main reason for the evolution of salinization. Excessive exploitation of groundwater by vegetable production caused the intensification of seawater intrusion and secondary salinization in coastal areas, while the water level dropped in areas far from the coastline. To prevent the deterioration from soil salinization in Shouguang, it is necessary for us to extract the local groundwater resources reasonably and optimally.

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Soil salinity characteristics using moderate resolution imaging spectroradiometer (MODIS) images and statistical analysis

Cited by 44 publications

References 33 publications

Towards decadal soil salinity mapping using Landsat time series data

Towards decadal soil salinity mapping using Landsat time series data

Remote Sensing of Soil Alkalinity and Salinity in the Wuyu’er-Shuangyang River Basin, Northeast China

Formation and Evolution of Soil Salinization in Shouguang City Based on PMS and OLI/TM Sensors

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