Soil salinity analysis of Urmia Lake Basin using Landsat-8 OLI and Sentinel-2A based spectral indices and electrical conductivity measurements

Gorji, Taha; Yıldırım, Aylin; Hamzehpour, Nikou; Tanık, Ayşegül; Sertel, Elif

doi:10.1016/j.ecolind.2020.106173

Cited by 111 publications

(58 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The common methods for soil salinity detection involve using direct soil reflectance (salinity indices) [18,20] either alone or along with vegetation reflectance (vegetation indices) in regions of thickly vegetated soils [34,35]. However, when vegetation is not present, the different levels of salt in the soils result in different levels of reflectance, and these differences in soil reflectance could be used in determining levels of salinity.…”

Section: Selection Of the Optimal Spectral Index For Estimating Soil mentioning

confidence: 99%

“…The new generation Sentinel 2A satellite, equipped with a Multi-Spectral Instrument (MSI), launched in 2015, offers freely available optical imageries with high spatial (up to 10 m) and spectral resolution (13 spectral bands), and with short revisit cycles (5 days). Recent studies have highlighted the great potential of this Sentinel 2A satellite imagery for soil salinity mapping [13][14][15][16], compared to Landsat 8 OLI [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modeling and Mapping of Soil Salinity and its Impact on Paddy Lands in Jaffna Peninsula, Sri Lanka

Gopalakrishnan

Kumar

2020

Sustainability

View full text Add to dashboard Cite

Soil salinity is a major threat to land productivity, water resources and agriculture in coastal areas and arid and semi-arid regions of the world. This has a significantly negative effect on the land and causes desertification. Monitoring salt accumulation in the soil is crucial for the prevention of land degradation in such environments. This study attempted to estimate and map soil salinity in Jaffna Peninsula, a semi-arid region of Sri Lanka. A Partial Least Squares Regression (PLSR) model was constructed using Sentinel 2A satellite imagery and field-measured soil electrical conductivity (EC) values. The results showed that satisfactory prediction of the soil salinity could be made based on the PLSR model coupled with Sentinel 2A satellite imagery (R2 = 0.69, RMSE = 0.4830). Overall, 32.8% of the land and 45% of paddy lands in Jaffna Peninsula are affected by salt. The findings of this study indicate that PLSR is suitable for the soil salinity mapping, especially in semi-arid regions like Jaffna Peninsula. The results underpin the importance of building adaptive capacity and implementing suitable preventive strategies for sustainable land and agricultural management.

show abstract

Section: Selection Of the Optimal Spectral Index For Estimating Soil mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling and Mapping of Soil Salinity and its Impact on Paddy Lands in Jaffna Peninsula, Sri Lanka

Gopalakrishnan

Kumar

2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…S2A images available in GEE are considered to be Level 2 products (Li et al 2019). The revisit time of S2A is ten days, but it decreases to five days when both the imagers are operational as compared to LANDSAT-8 satellite, Gorji et al 2020). SI is statistically very dynamic (Khan and Abbas 2007).…”

Section: Data Usedmentioning

confidence: 99%

“…2). Reflectance values are considered for calculating these indices (Gorji et al 2020), (Alawadi 2010 All the above-mentioned indices are calculated in the GEE platform on the S2A images. The overall approach for calculating the indices have been shown in Fig.…”

Section: Data Usedmentioning

confidence: 99%

See 1 more Smart Citation

Detecting the Carotenoid Pigmentation due to Haloarchaea Microbes in the Lonar Lake, Maharashtra, India Using Sentinel-2 Images

Bhattacharjee

Choubey

Das

et al. 2020

J Indian Soc Remote Sens

View full text Add to dashboard Cite

The Lonar Lake of Maharashtra is a crater based-saline lake. During the month of June 2020, this lake suddenly changed its colour and turned to pink due to the presence of Haloarchaea microbes, and this species have a unique adaptation style to survive in high saline condition. The salinity of this lake is increasing due to less rainfall, low human intervention, and an increase in the temperature of this region. These microbes produce fantastic bloom, which can be sensed from outer space because of red-orange carotenoids production. In this work, Sentinel 2A datasets have been used for the duration of January 2020 to June 2020. These datasets have been processed in Google Earth Engine platform and several indices like Salinity Index, Surface Algal Bloom Index, and Normalized Difference Haloarchaea Index have been calculated. With the help of these indices, it has been found that the appearance of these microbes has happened in the early part of June 2020, and in more precise terms, it can be stated that between May 31 and June 5, these microbes have appeared in the lake.

show abstract

Spatial and temporal patterns of soil salinization in shallow groundwater environments of the Bahía Blanca estuary: Influence of topography and land use

2022

View full text Add to dashboard Cite

Soil salinization is considered an environmental threat as high salt content hinders plant growth. Soil salinity is usually associated with climate aridity at a regional scale, while topography, subsurface hydrology, and land use combine with climate to produce salinization patterns at landscape scale. In this study, the first such assessment for the study area, we investigated the relationship between climate, groundwater level (GWL) changes, and soil salinity. For comparison, two adjacent vegetation units used as marginal grazing lands were selected: thickets of Allenrolfea patagonica (Ap thicket), located at the base of a scarp, and bushes of Cyclolepis genistoides (Cg bush), located away from the topographic discontinuity. Electrical conductivity (ECrs) maps derived from LANDSAT‐8/OLI were used to analyze salinity patterns. The results showed that GWL rose in coincidence with precipitation events and fell during dryer and warmer periods. GWL was always closer to the surface in the Ap thicket, and level changes were more likely to occur there. ECrs showed a seasonal pattern with significantly higher (p < 0.05) values in the Ap thicket during summer. Within the Cg bush, relatively higher ECrs appeared around a permanent water trough. Within this zone, ECrs values during summer were significantly higher (p < 0.05). Coupled evaluation of GWL dynamics and soil salinization patterns showed that GWL changes interact with land use practices to produce local‐scale patterns of salinization. Topography played an important role in controlling soil surface properties through its influence on groundwater dynamics and small topographic changes produced largely different conditions for vegetation growth.

show abstract

Soil salinity analysis of Urmia Lake Basin using Landsat-8 OLI and Sentinel-2A based spectral indices and electrical conductivity measurements

Cited by 111 publications

References 37 publications

Modeling and Mapping of Soil Salinity and its Impact on Paddy Lands in Jaffna Peninsula, Sri Lanka

Modeling and Mapping of Soil Salinity and its Impact on Paddy Lands in Jaffna Peninsula, Sri Lanka

Detecting the Carotenoid Pigmentation due to Haloarchaea Microbes in the Lonar Lake, Maharashtra, India Using Sentinel-2 Images

Spatial and temporal patterns of soil salinization in shallow groundwater environments of the Bahía Blanca estuary: Influence of topography and land use

Contact Info

Product

Resources

About