Assessment of surface and sub-surface waterlogged areas in irrigation command areas of Bihar state using remote sensing and GIS

Chowdary, V. M.; Chandran, Rahul; Neeti, Neeti; Bothale, Rajashree Vinod; Srivastava, Y. K.; Ingle, P. M.; Ramakrishnan, D.; Dutta, D.; Jeyaram, A.; Sharma, J. R.; Singh, Rattan

doi:10.1016/j.agwat.2008.02.009

Cited by 123 publications

(71 citation statements)

References 25 publications

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“…7). Waterlogged area and forest area are good, whereas build up area is poor for groundwater percolation and, hence, groundwater potential (Chowdary et al 2008). …”

Section: Land Use/land Covermentioning

confidence: 99%

Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques

Kumar

Herath

Avtar

et al. 2016

Sustain. Water Resour. Manag.

141

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Groundwater is a vital natural capital for the consistent and economic provision of potable water supply for both rural and urban environments. There is now a strong consensus that climate change poses a fundamental challenge to the well-being of all countries, with potential of being the harshest on countries already suffering from water scarcity. Dry zone of Killinochi basin in Northern Sri Lanka, which was devastated by civil war for last 25 years, is again being revitalized by human settlement and urbanization in last couple of years. However, the decreasing trend in the rainfall regime of the dry zones and the increase in population size (temporary inflow) and, hence, the demand for water for irrigation and other livelihood requirements, calls for a sustainable exploitation of the groundwater resources in the region. The development of a reasonable model for groundwater potential is need for the present time. This work strives to generate groundwater potential zonation map using integrated use of remote sensing and geographic information system (GIS) for Killinochi area, Northern Sri Lanka. Five different themes of information, such as geomorphology, geology, soil type (extracted from existing topo sheet); slope [generated from shuttle radar topography mission (SRTM) digital elevation model (DEM)]; and land use/land cover (extracted from digital processing of AVNIR satellite data) were integrated with weighted overlay in GIS to generate groundwater potential zonation map of the area. The final map of the area was demarcated by four different zones of groundwater prospects, viz., good (5.32 % of the area), moderate (61.90 % of the area) poor (26.61 % of the area), and very poor (6.17 % of area). The hydrogeomorphological units, such as alluvial plain, low slope area, and land occupied by forest, are prospective zones for groundwater occurrence in the study area.

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“…7). Waterlogged area and forest area are good, whereas build up area is poor for groundwater percolation and, hence, groundwater potential (Chowdary et al 2008). …”

Section: Land Use/land Covermentioning

confidence: 99%

Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques

Kumar

Herath

Avtar

et al. 2016

Sustain. Water Resour. Manag.

141

View full text Add to dashboard Cite

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“…Although the index was created for use with different images data, it has been successfully used with other sensor systems in applications where the measurement of the extent of open water is needed [8]; (USGS, 2016). The NDWI is calculated using Equation (1):…”

Section: Ndwimentioning

confidence: 99%

Monitoring the Environmental Changes of Mariout Lake during the Last Four Decades Using Remote Sensing and GIS Techniques

Kafrawy¹,

Donia²,

Mohamed³

2017

MOJES

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Multi-dates satellite images have been used in this study to detect the trends of environmental changes in Mariut Lake, particularly for the main two lake ecosystems; water, and vegetation. The study focuses on the aquatic vegetation type and water area of Mariout Lake during the past four decades (from 1972 to 2016). The results reported in this research represent the way in which ecosystem degradation processes, affecting Lake Mariout, are increased due to external factors (human activities) of drying and reclaiming some areas to estimate the consequential effects on the lake. A combination of LandSat-1(MSS), LandSat-5 (TM), LandSat-7 (ETM+), SPOT-1, SPOT-4, SPOT-5, Rapid Eye, and Sentinel-2 Satellite data were used to analyze temporal changes in the Lake ecosystem. Different image processing techniques were under taken such as: on screen digitizing to delineate the lake boundary, the Normalized Difference Water Index (NDWI) makes use of reflected near-infrared radiation and visible green light to enhance the presence of such features while eliminating the presence of soil and terrestrial vegetation features, and change detection to ascertain the changes of water and vegetation features within last Four decades interval. The results of analysis indicate that Mariut Lake has been subjected to various physical and biological changes mainly due to the different human activities that have serious impacts on its quality and a subsequent deterioration in its ecological parameters.

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“…Mean water balance components results for different months were stored in GIS databases, analyzed and displayed as the monthly crop water requirements maps. (3)showed that satellite remote sensing coupled with GIS offers an excellent alternative to conventional mapping techniques in monitoring and mapping of surface and sub-surface waterlogged areas. (4) found that for center pivot irrigation under precision farming, remote sensing and GIS techniques have played a vital role in the variable rate of water applications that were defined due to management zone requirements.…”

Section: Introductionmentioning

confidence: 99%

Integrate GIS and Cropwat Model in Study Crop Water Requirement and Irrigation Scheduling

Rahma¹,

Elhag²

2017

IJRASET

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:Water scarcity is a real threat to food production for millions of people in arid and semiarid areas. Due to the over use of available water resources, it has become very important to define appropriate strategiesfor planning and management of irrigated farmland. In this paper, Kenana-Sennar -New Halfa (Sugar cane) region was chosen as the case study area for its special political and economic status and its severe water problem. To achieve effectiveplanning, the information about crop water requirements, irrigation withdrawals, soil types and climatic conditions had beenobtained in the study area. In the meantime, a GIS had been adopted, which extends the capabilities of the crop modelsto a regional level. The Sugar cane region has seasonal water deficits, seriously in Sugar cane germination stage, which is the dominating reason for the low yield per unit area in this region. Under the fortnightly precipitation scenario, in Kenana irrigation was recommended two times in its growth period: 7May and 21May respectively. In Sennar irrigation was also recommended seven times:7 May, 21May, 4June, 18June, 2July , 16July and 27 August respectively. In New Halfa irrigation was recommended nine: 7May, 21May, 4June, 18June, 2July, 16 July, 30 July, 13 August and 27 August Keywords: Sugar Cane , Climatic Water Deficit, Irrigation scheduling I. INTRODUCTION In the near future, irrigated agriculture will need to produce two-thirds of the increase in food products required by a large population increase(1).The growing dependence on irrigated agriculture coincides with an accelerated competition for water and increased awareness of unintended negative consequences of poor design and management. Irrigation systems are selected, designed and operated to supply the individual irrigation requirements of each crop field on the farm while controlling deep percolation, runoff, evaporation and operational losses to establish a sustainable production process. Considering the stupendous task and constraint of time in developing the ultimate irrigation potential, it is necessary to use the modern methods of surveying and analysis tools. Remote sensing and Geographic Information System (GIS) with their capabilities of data collection, manipulation, integration, analysis, presentation, dissemination etc.These systems become more efficient and effective tools for irrigation water management.The capability of GIS to analyze the information across space and time would help in managing such dynamic systems. Soil survey data and GIS are important tools in land use planning. Intertwined, they represent an invaluable and underutilized resource. (2)found that the GIS is an important tool that can be used for optimal allocation of water resources of an irrigation project. Mean water balance components results for different months were stored in GIS databases, analyzed and displayed as the monthly crop water requirements maps. (3)showed that satellite remote sensing coupled with GIS offers an excellent alternative to conventional mapping t...

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Assessment of surface and sub-surface waterlogged areas in irrigation command areas of Bihar state using remote sensing and GIS

Cited by 123 publications

References 25 publications

Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques

Mapping of groundwater potential zones in Killinochi area, Sri Lanka, using GIS and remote sensing techniques

Monitoring the Environmental Changes of Mariout Lake during the Last Four Decades Using Remote Sensing and GIS Techniques

Integrate GIS and Cropwat Model in Study Crop Water Requirement and Irrigation Scheduling

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