Salinity Mapping in Oman using Remote Sensing Tools: Status and Trends (original) (raw)
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Use Remote Sensing To Map Soil Salinity in the Musaib Area in Central Iraq
2015
Salinity has constituted one of the major problematic issues for agricultural production in Iraq. It is hence essential to develop some rational and reliable approach to conduct salinity mapping and assessment. Recently, we have proposed an innovative methodology in the Dujaila site for this purpose. The aim of this study is to ascertain whether the methodology we developed can be extended to other similar environment taking the Musaib site, another project site in Central Iraq, as an example. Field survey including soil sampling, EM38 (Geonics Ltd.) measurement and land use investigation was conducted and 30 soils samples were analysed in laboratory; 17 Landsat ETM+ spring and summer imagery in the frame of 168-37 from 2009 to 2012 were prepared for the study. By following the same procedure as we have done for the Dujaila site, we obtained similar remote sensing models in the vegetated area, that is, the field measured salinity are functions of the multiyear maximal GDVI (Generali...
European Journal of …, 2009
Soil salinization is one of the most common land degradation processes in arid and semi-arid regions, where precipitation exceeds over evaporation. Under such climatic conditions, soluble salts are accumulated in the soil, influencing soil properties and environment with ultimate decline in soil productivity. Therefore, mapping of saline areas is essential for understanding resource for sustainable soil uses and management. The present study presents a model to map soil salinity using Remote Sensing (RS) and Geographic Information Systems (GIS). The coastal area of Abu Dhabi Emirate, where the issue of salinity is a major concern, was used as pilot study area. The model development consists of a number of phases, salinity detection using RS data, site observations, correlation and verification, and model validation. Multi-temporal Landsat-7 ETM image (Enhanced Thematic Mapper) acquired in 2000 and 2002 were used to detect coastal saline areas. GIS was used to integrate the available data and information, design the model, and to create different maps. A geodatabase was created and populated with 403 observations together with laboratory analyses data. Salinity maps at suborder and great group levels of the USDA Soil Taxonomy were developed. In addition, the relation between salinity and dominant soil types are discussed. The suborder level salinity map reveals that Salids represent an area of 145,823 ha (58% of the total area), whereas, at great group level Haplosalids represent 98,414 ha (39%), and Aquisalids, represent 47,408 ha (19%). The site observations salinity map indicates that 63% of the study area has been classified as strong to extremely saline, whereas, 37% has been classified as slight to moderately saline area. The correlation between the salinity maps developed from visual interpretation of remote sensing data, and site observations shows that 91.2% of the saline areas delineated using remote sensing data fits with those delineated using site observations data. The study confirmed that ground truthing coupled with RS data and GIS techniques are powerful Soil Salinity Mapping Model Developed Using RS and GIS -A Case Study from Abu Dhabi, United Arab Emirates 343 tools in detecting salinity at different levels in hyper-arid conditions. The model can be adopted elsewhere in similar areas that experience salinization problems.
Salinization is a major form of land degradation in agricultural areas, where information on the extent and magnitude of soil salinity is needed for better planning and implementation of effective soil reclamation programs. Statistics about the extent of world salt affected areas vary according to authors; however, general estimates are close to 1 billion hectares, which represent about 7% of the earth’s continental extent. In addition to these naturally salt affected areas, about 77 Mha have been salinized as a consequence of human activities (secondary salinization), with 58% in irrigated areas. On average, 20% of the world’s irrigated lands are affected by salts, but this figure increases to more than 30% in countries such as Egypt, Iran and Argentina (Ghassemi et al., 1995). To keep track of changes in salinity and anticipate further degradation, mapping and monitoring is needed so that proper and timely decisions can be made to modify the management practices or undertake recla...
Soil Salinity Research and Mapping using Remote Sensing GIS
World Journal of Agriculture and Soil Science, 2020
The research study evaluated the soil salinity by using special scientific tools like Remote Sensing and GIS technology, so that proper measurements could be taken for the sustainable agriculture and water management. A study to evaluate an irrigation system in the dry and semi-dry zone of straight Salyan, The study is made on the basis of salinity to evaluate the system. The primary data use for the study was the satellite images. This study employed an index-based approach of using Geographic Information System with field data. The satellite images of four different years was used to examine the effective area. Several combinations of the ratio of signals received in different spectral bands were used for development of this index. Near Infrared and Thermal IR spectral bands proved to be most effective as this combination helped easy detection of salt affected area. The results were confirmed by field research and laboratory analysis. The research will not only RS base for this fi...
International Journal of Environment and Geoinformatics
Soil salinization is one of the severe land-degradation problems due to its adverse effects on land productivity. Each year several hectares of lands are degraded due to primary or secondary soil salinization, and as a result, it is becoming a major economic and environmental concern in different countries. Spatio-temporal mapping of soil salinity is therefore important to support decisionmaking procedures for lessening adverse effects of land degradation due to the salinization. In that sense, satellite-based technologies provide cost effective, fast, qualitative and quantitative spatial information on saline soils. The main objective of this work is to highlight the recent remote sensing (RS) data and methods to assess soil salinity that is a worldwide problem. In addition, this study indicates potential linkages between salt-affected land and the prevailing climatic conditions of the case study areas being examined. Web of science engine is used for selecting relevant articles. "Soil salinity" is used as the main keyword for finding "articles" that are published from January 1, 2007 up to April 30, 2018. Then, 3 keywords; "remote sensing", "satellite" and "aerial" were used to filter the articles. After that, 100 case studies from 27 different countries were selected. Remote sensing based researches were further overviewed regarding to their location, spatial extent, climate regime, remotely sensed data type, mapping methods, sensing approaches together with the reason of salinity for each case study. In addition, soil salinity mapping methods were examined to present the development of different RS based methods with time. Studies are shown on the Köppen-Geiger climate classification map. Analysis of the map illustrates that 63% of the selected case study areas belong to arid and semi-arid regions. This finding corresponds to soil characteristics of arid regions that are more susceptible to salinization due to extreme temperature, high evaporation rates and low precipitation.
Annual International Conference and Earth Sicence ( GEOS)At: Singapore, 2012
Soil salinity is one of the most important issues in arid and semi-arid regions, which is directly linked to desertification and land degradation. Several studies related to soil and water salinity assessment and mapping were conducted in Libya using traditional methods. However, they covered only the time of measurements and did not address the dynamic nature of salinity process. In addition, they lack cost and time effectiveness. Therefore, there is a pressing need to use a high tech method that is cost, time and labor effective to assess the change in soil salinity in the northwest of Libya. The aim of this paper is to identify the change in saline soils (Sehbkha) using Remote Sensing (RS) and geographic information system (GIS) techniques. Land Sat Satellite images data were acquired for 29 years (1972-1987-2001) to assess the pattern of change. The result revealed that there was a decrease in saline soils area (Sbehbka).
International Journal of Engineering and Advanced Technology, 2020
In Egypt require to improve agricultural production to save food demand with increase population. Soil salinity is a significant attractive problem for agriculture in irrigated areas. As a result, monitoring of soil salinity is required for salinization control. One of the greatest challenges faced by Egypt’s decision-makers is the acquisition of reliable integrated soil salinity information to introduce and recommendation of a simple approach to formulating a guideline for stakeholders. Saline affected areas are vast, making it extremely difficult to examine soil quality with field and laboratory data to provide reliable approach to forecast and monitor soil salinity. Objective of this paper is to research remote sensing and ArcGIS tools by Geo-Statistical Analyst techniques to map saline-sodic heavy clay soils of the Tina plain area in Egypt. Tina Plain characterizes a serious area for potential development of agricultural land in Egypt. Satellite images were downloaded by Landsat...
Soil Salinity Mapping by Multiscale Remote Sensing in Mesopotamia, Iraq
Soil salinity has become one of the major problems affecting crop production and food security in Mesopotamia in Iraq. There is a pressing need to quantify and map the spatial extent and distribution of salinity in the country in order to provide relevant references for the central and local governments to plan sustainable land use and agricultural development. The aim of this study was to conduct such quantification and mapping in Mesopotamia using an integrated, multiscale modeling approach that relies on remote sensing. A multiyear, multi-resolution and multi-sensor dataset composed of mainly Landsat ETM+ and MODIS data of the priod 2009-2012 was used. Results show that the local-scale salinity models developed from pilot sites with vegetated and non-vegetated areas can reliably predict salinity. Salinity maps produced by these models have a high accuracy of about 82.5-83.3% against the ground measurements. Regional salinity models developed using integrated samples from all pilot sites, could predict soil salinity with an accuracy of 80% based on comparison to regional measurements along two transects. It is hence concluded that the multiscale models are reasonably reliable for assessment of soil salinity at local and regional scales. The methodology proposed in this paper can minimize problems induced by crop rotation, fallowing, and soil moisture content, and has clear advantages over other mapping approaches. Further testing is needed while extending the mapping approaches and models to other salinity-affected environments.