Integrated Water Resource Development Plan for Sustainable Management of Mayurakshi Watershed, India using Remote Sensing and GIS

Water Resources Management (Impact Factor: 2.6). 01/2009; 23(8):1581-1602. DOI: 10.1007/s11269-008-9342-9

ABSTRACT Integrated watershed management requires a host of inter-related information to be generated and studied in relation to each
other. Remote sensing technique provides valuable and up-to-date spatial information on natural resources and physical terrain
parameters. Geographical Information System (GIS) with its capability of integration and analysis of spatial, aspatial, multi-layered
information obtained in a wide variety of formats both from remote sensing and other conventional sources has proved to be
an effective tool in planning for watershed development. In this study, area and locale specific watershed development plans
were generated for Mayurakshi watershed, India using remote sensing and GIS techniques. Adopting Integrated Mission for Sustainable
Development (IMSD) guidelines, decision rules were framed. Using the overlay and decision tree concepts water resource development
plan was generated. Indian Remote Sensing Satellite (IRS-1C), Linear Imaging Self Scanner (LISS-III) satellite data along
with other field and collateral data on lithology, soil, slope, well inventory, fracture have been utilized for generating
land use/land cover and hydro geomorphology of the study area, which are an essential prerequisites for water resources planning
and development. Spatial data integration and analyses are carried out in GIS environment.

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Available from: Ramakrishnan D., Aug 10, 2015
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    • "The GIS is a computer program that can manage a large amount of physical spatial data (but also social data) in an effective way (Moody and Ast, 2012). In the literature, use of GIS for water management is increasing, especially when evaluating the sustainability of water management options (Chowdary et al., 2009), because sustainable water management considers a wide number of variables. When working with spatially distributed climate, soils and land-use variables, the amount of data can be high (Satti and Jacobs, 2004). "
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    Irrigation and Drainage 10/2014; DOI:10.1002/ird.1833 · 0.72 Impact Factor
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    • "Remote sensing is identified as an important tool supporting the management of natural resources and agricultural practices for wider spatial coverage. Thus, daily evapotranspiration models derived from remote sensing techniques are better suited the estimation of crop water use at a regional agriculture scale (Allen et al. 2007; Chowdary et al. 2009; Muthuwatta et al. 2010). "
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    ABSTRACT: Daily evapotranspiration is a major component in crops water consumption management plans. Consequently, forecasting of daily evapotranspiration is the keystone of any effective water resources management plans in fragile environment similar to the Nile Delta region. The estimation of daily evapotranspiration was carried out using Surface Energy Balance System (SEBS), while the forecasting of the daily evapotranspiration was carried out using Auto Regressive Integrated Moving Average (ARIMA) and its derivative Seasonal ARIMA. Remote sensing data were downloaded from European Space Agency (ESA) and used to estimate daily evapotranspiration values. Remote sensing data collected from August 2005 till December 2009 on a monthly basis for daily evapotranspiration estimation. The application of the most adequate ARIMA (2,1,2) to the evapotranspiration data set failed to sustain the forecasting accuracy over a long period of time. Although, time series analysis of daily evapotranspiration data set showed a seasonality behavior and thus, using seasonal ARIMA [(2,1,2) (1,1,2)6] was the optimum to forecast the daily evapotranspiration over the study area and sustain the forecasting accuracy. A linear regression model was established to test the correlation between the forecasted daily evapotranspiration values using S-ARIMA model and the actual values. The forecasting model indicates an increase of the daily evapotranspiration values with about 1.3 mm per day.
    Water Resources Management 09/2013; 27(12):4115-4130. DOI:10.1007/s11269-013-0368-2 · 2.60 Impact Factor
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    • "In addition, the temporal resolution of AATSR and MERIS imagery is very high (3 days). This advantage supports decision makers to take into account the different phenology phases of the cultivated crops and fine-tune their water management plans in real time (Chowdary et al. 2009; Giardino et al. 2010). "
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    ABSTRACT: Estimation of evapotranspiration is always a major component in water resources management. The reliable estimation of daily evapotranspiration supports decision makers to review the current land use practices in terms of water management, while enabling them to propose proper land use changes. Traditional techniques of calculating daily evapotranspiration based on field measurements are valid only for local scales. Earth observation satellite sensors are used in conjunction with Surface Energy Balance (SEB) models to overcome difficulties in obtaining daily evapotranspiration measurements on a regional scale. In this study the SEB System (SEBS) is used to estimate daily evapotranspiration and evaporative fraction over the Nile Delta along with data acquired by the Advance Along Track Scanning Radiometer (AATSR) and the Medium Spectral Resolution Imaging Spectrometer (MERIS), and six in situ meteorological stations. The simulated daily evapotranspiration values are compared against actual ground-truth data taken from 92 points uniformly distributed all over the study area. The derived maps and the following correlation analysis show strong agreement, demonstrating SEBS’ applicability and accuracy in the estimation of daily evapotranspiration over agricultural areas. KeywordsDaily evapotranspiration–Evaporative fraction–Water resources management–SEBS model–AATSR–MERIS–Nile Delta
    Water Resources Management 09/2011; 25(11):2731-2742. DOI:10.1007/s11269-011-9835-9 · 2.60 Impact Factor
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