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Imran U Basha - One of the best experts on this subject based on the ideXlab platform.

  • data on artificial recharge sites identified by Geospatial tools in semi arid region of anantapur district andhra pradesh india
    Data in Brief, 2018
    Co-Authors: M Rajasekhar, Sudarsana G Raju, Siddi R Raju, Imran U Basha
    Abstract:

    The Geospatial Technologies like Remote Sensing (RS) and Geographic Information System (GIS) have been playing vital role in capable forecasting and management of imperative groundwater resources in the emerging nations. In recent times, the Geospatial technologies like RS, GIS and Multi Influence Factor (MIF) methodology are helpful in identifying groundwater potential zone. For the present study, the Geospatial Technology is used to prepare various thematic maps such as Land Slope, Geomorphology, Geology, Soil, Drainage Density, Lineament Density, Landuse/Landcover, Hydrogeomorphology, and Annual consideration of the valuation of groundwater assets for the semi-arid region in and around Bommanahal Mandal of Anantapur District in Andhra Pradesh, Southern India. As a part of the study eight thematic layers and their functions have been designed applicable weights at the Saaty׳s scale according to their comparative connotation in groundwater occurrence. The designed weights are normalized by using AHP (Analytic Hierarchy Process) MIF techniques and eigenvector method to various thematic layers and their features. Further to create a groundwater potential map the chosen thematic maps are integrated by weighted linear grouping method in a GIS environment. Based on the groundwater potential index values, the study area is classified into four different groundwater potential zones such as 'good', 'moderate to good', 'moderate' and 'poor'. The new recharge structures have proposed to fulfill the demand of groundwater to expand the scope of groundwater for future generations. Considering the overlay analysis of geomorphology and drainage layer execution through GIS technologies, the appropriate sites for artificial recharge structures have been identified.

  • Data on artificial recharge sites identified by Geospatial tools in semi-arid region of Anantapur District, Andhra Pradesh, India
    Elsevier, 2018
    Co-Authors: M Rajasekhar, Sudarsana G Raju, Siddi R Raju, Imran U Basha
    Abstract:

    The Geospatial Technologies like Remote Sensing (RS) and Geographic Information System (GIS) have been playing vital role in capable forecasting and management of imperative groundwater resources in the emerging nations. In recent times, the Geospatial technologies like RS, GIS and Multi Influence Factor (MIF) methodology are helpful in identifying groundwater potential zone. For the present study, the Geospatial Technology is used to prepare various thematic maps such as Land Slope, Geomorphology, Geology, Soil, Drainage Density, Lineament Density, Landuse/Landcover, Hydrogeomorphology, and Annual consideration of the valuation of groundwater assets for the semi-arid region in and around Bommanahal Mandal of Anantapur District in Andhra Pradesh, Southern India. As a part of the study eight thematic layers and their functions have been designed applicable weights at the Saaty׳s scale according to their comparative connotation in groundwater occurrence. The designed weights are normalized by using AHP (Analytic Hierarchy Process) MIF techniques and eigenvector method to various thematic layers and their features. Further to create a groundwater potential map the chosen thematic maps are integrated by weighted linear grouping method in a GIS environment. Based on the groundwater potential index values, the study area is classified into four different groundwater potential zones such as ‘good’, ‘moderate to good’, ‘moderate’ and ‘poor’. The new recharge structures have proposed to fulfill the demand of groundwater to expand the scope of groundwater for future generations. Considering the overlay analysis of geomorphology and drainage layer execution through GIS technologies, the appropriate sites for artificial recharge structures have been identified. Keywords: Geospatial technologies, MIF, AHP, Overlay analysis, Thematic map

Arjunan Subramanian - One of the best experts on this subject based on the ideXlab platform.

  • using Geospatial Technology to strengthen data systems in developing countries the case of agricultural statistics in india
    Applied Geography, 2013
    Co-Authors: Gopal Naik, K P Basavaraj, V R Hegde, Vijay Paidi, Arjunan Subramanian
    Abstract:

    Despite significant progress in the development of quantitative geography techniques and methods and a general recognition of the need to improve the quality of geographic data, few studies have exploited the potential of Geospatial tools to augment the quality of available data methods in developing countries. This paper uses data from an extensive deployment of Geospatial Technology in India to compare crop areas estimated using Geospatial Technology to crop areas estimated by conventional methods and assess the differences between the methods. The results presented here show that crop area estimates based on Geospatial Technology generally exceed the estimates obtained using conventional methods. This suggests that conventional methods are unable to respond quickly to changes in cropping patterns and therefore do not accurately record the area under high-value cash crops. This finding has wider implications for commercializing agriculture and the delivery of farm credit and insurance services in developing countries. Significant data errors found in the conventional methods could affect critical policy interventions such as planning for food security. Some research and policy implications are discussed.

  • reliability of agricultural statistics in developing countries reflections from a comprehensive village survey on crop area statistics in india
    Social Science Research Network, 2012
    Co-Authors: Gopal Naik, Vijay Paidi, K P Basavarajappa, Arjunan Subramanian
    Abstract:

    Despite the importance of agriculture in developing countries, and the general recognition of the need for strengthening data quality, very few studies examine the quality of available data and the data generation methods in agriculture. In this paper, we use data from an extensive deployment of Geospatial Technology, administrated concurrently alongside the conventional method in the Indian state of Karnataka, to assess the discrepancy between methods in terms of the magnitude of difference in the crop area, type and number of crops grown. The crop area estimates based on alternative method, utilising the Geospatial Technology, exceeded that from the estimates based on conventional method. Conventional method is unable to respond quickly to changes in the cropping pattern and therefore, do not record accurately the area under high value cash crops. This has wider implications for commercializing agriculture and delivery of farm credit and insurance services in the developing countries. Some research and policy implications are discussed.

Obinna C D Anejionu - One of the best experts on this subject based on the ideXlab platform.

  • spatial urban data system a cloud enabled big data infrastructure for social and economic urban analytics
    Future Generation Computer Systems, 2019
    Co-Authors: Obinna C D Anejionu, Piyushimita Thakuriah, Andrew Mchugh, David Philip Mcarthur, Phil Mason, Rod Walpole
    Abstract:

    Abstract The Spatial Urban Data System (SUDS) is a spatial big data infrastructure to support UK-wide analytics of the social and economic aspects of cities and city-regions. It utilises data generated from traditional as well as new and emerging sources of urban data. The SUDS deploys Geospatial Technology, synthetic small area urban metrics, and cloud computing to enable urban analytics, and geovisualization with the goal of deriving actionable knowledge for better urban management and data-driven urban decision making. At the core of the system is a programme of urban indicators generated by using novel forms of data and urban modelling and simulation programme. SUDS differs from other similar systems by its emphasis on the generation and use of regularly updated spatially-activated urban area metrics from real or near-real time data sources, to enhance understanding of intra-city interactions and dynamics. By deploying public transport, labour market accessibility and housing advertisement data in the system, we were able to identify spatial variations of key urban services at intra-city levels as well as social and economically-marginalised output areas in major cities across the UK. This paper discusses the design and implementation of SUDS, the challenges and limitations encountered, and considerations made during its development. The innovative approach adopted in the design of SUDS will enable it to support research and analysis of urban areas, policy and city administration, business decision-making, private sector innovation, and public engagement. Having been tested with housing, transport and employment metrics, efforts are ongoing to integrate information from other sources such as IoT, and User Generated Content into the system to enable urban predictive analytics.

M Rajasekhar - One of the best experts on this subject based on the ideXlab platform.

  • data on artificial recharge sites identified by Geospatial tools in semi arid region of anantapur district andhra pradesh india
    Data in Brief, 2018
    Co-Authors: M Rajasekhar, Sudarsana G Raju, Siddi R Raju, Imran U Basha
    Abstract:

    The Geospatial Technologies like Remote Sensing (RS) and Geographic Information System (GIS) have been playing vital role in capable forecasting and management of imperative groundwater resources in the emerging nations. In recent times, the Geospatial technologies like RS, GIS and Multi Influence Factor (MIF) methodology are helpful in identifying groundwater potential zone. For the present study, the Geospatial Technology is used to prepare various thematic maps such as Land Slope, Geomorphology, Geology, Soil, Drainage Density, Lineament Density, Landuse/Landcover, Hydrogeomorphology, and Annual consideration of the valuation of groundwater assets for the semi-arid region in and around Bommanahal Mandal of Anantapur District in Andhra Pradesh, Southern India. As a part of the study eight thematic layers and their functions have been designed applicable weights at the Saaty׳s scale according to their comparative connotation in groundwater occurrence. The designed weights are normalized by using AHP (Analytic Hierarchy Process) MIF techniques and eigenvector method to various thematic layers and their features. Further to create a groundwater potential map the chosen thematic maps are integrated by weighted linear grouping method in a GIS environment. Based on the groundwater potential index values, the study area is classified into four different groundwater potential zones such as 'good', 'moderate to good', 'moderate' and 'poor'. The new recharge structures have proposed to fulfill the demand of groundwater to expand the scope of groundwater for future generations. Considering the overlay analysis of geomorphology and drainage layer execution through GIS technologies, the appropriate sites for artificial recharge structures have been identified.

  • Data on artificial recharge sites identified by Geospatial tools in semi-arid region of Anantapur District, Andhra Pradesh, India
    Elsevier, 2018
    Co-Authors: M Rajasekhar, Sudarsana G Raju, Siddi R Raju, Imran U Basha
    Abstract:

    The Geospatial Technologies like Remote Sensing (RS) and Geographic Information System (GIS) have been playing vital role in capable forecasting and management of imperative groundwater resources in the emerging nations. In recent times, the Geospatial technologies like RS, GIS and Multi Influence Factor (MIF) methodology are helpful in identifying groundwater potential zone. For the present study, the Geospatial Technology is used to prepare various thematic maps such as Land Slope, Geomorphology, Geology, Soil, Drainage Density, Lineament Density, Landuse/Landcover, Hydrogeomorphology, and Annual consideration of the valuation of groundwater assets for the semi-arid region in and around Bommanahal Mandal of Anantapur District in Andhra Pradesh, Southern India. As a part of the study eight thematic layers and their functions have been designed applicable weights at the Saaty׳s scale according to their comparative connotation in groundwater occurrence. The designed weights are normalized by using AHP (Analytic Hierarchy Process) MIF techniques and eigenvector method to various thematic layers and their features. Further to create a groundwater potential map the chosen thematic maps are integrated by weighted linear grouping method in a GIS environment. Based on the groundwater potential index values, the study area is classified into four different groundwater potential zones such as ‘good’, ‘moderate to good’, ‘moderate’ and ‘poor’. The new recharge structures have proposed to fulfill the demand of groundwater to expand the scope of groundwater for future generations. Considering the overlay analysis of geomorphology and drainage layer execution through GIS technologies, the appropriate sites for artificial recharge structures have been identified. Keywords: Geospatial technologies, MIF, AHP, Overlay analysis, Thematic map

Som Nath Thakur - One of the best experts on this subject based on the ideXlab platform.

  • groundwater potential assessment of an alluvial aquifer in yamuna sub basin panipat region using remote sensing and gis techniques in conjunction with analytical hierarchy process ahp and catastrophe theory ct
    Ecological Indicators, 2020
    Co-Authors: Lakhvinder Kaur, Madhuri S Rishi, Gagandeep Singh, Som Nath Thakur
    Abstract:

    Abstract The economic and population growth worldwide are moving once invisible resource, “groundwater” into the headlines. The importance of groundwater in India can be realised from the fact that the majority of the irrigated food production is dependent on it. In Haryana state of India, where the present study has been conducted, the groundwater draft is more (13.9 × 109 m3) against the net availability of recharge (10.3 × 109 m3). Therefore, in Panipat region of Yamuna sub basin an attempt has been made to evaluate the groundwater potential zones, so that the groundwater stress areas can be sustainably managed. The present research accentuated the expediency of Geospatial Technology and selection of multi-criteria decision making (MCDM) techniques to evaluate the groundwater potential of the study area. Two MCDM methods namely Analytical Hierarchy Process (AHP) and Catastrophe Theory (CT) for the weighted overlay were employed in combination with remote sensing and GIS techniques for the demarcation of groundwater potential zones of the region. These models were validated with a groundwater resource potential map i.e. validation map prepared using field data by classifying the output maps into four categories on the basis of quantiles. Both the models used for the identification of groundwater potential zones gave similar results in terms of areal extent whereas the spatial distribution of groundwater prospect of AHP and CT was significantly distinct and CT method yielded better results on validation. Further, sensitivity analysis was carried out to know the effect of weights assigned to the input indicators/variable in both the MCDM techniques.