Prioritization of Watersheds across Mali Using Remote Sensing Data and GIS Techniques for Agricultural Development Planning

AbstractThis paper summarizes the findings of groundwater potential zonation mapping at the Bharangi River basin, Thane district, Maharastra, India, using Satty’s Analytical Hierarchal Process model with the aid of GIS tools and remote sensing data. To meet the objectives, remotely sensed data were used in extracting lineaments, faults and drainage pattern which influence the groundwater sources to the aquifer. The digitally processed satellite images were subsequently combined in a GIS with ancillary data such as topographical (slope, drainage), geological (litho types and lineaments), hydrogeomorphology and constructed into a spatial database using GIS and image processing tools. In this study, six thematic layers were used for groundwater potential analysis. Each thematic layer’s weight was determined, and groundwater potential indices were calculated using groundwater conditions. The present study has demonstrated the capabilities of remote sensing and GIS techniques in the demarcation of different groundwater potential zones for hard rock basaltic basin.

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Monitoring Land Use Changes Using Remote Sensing Data and GIS Techniques: A Case Study of Phuket Island after Tsunami, Thailand

Dec. 25-26, 2017 Bangkok (Thailand) IETCAS-17, EABNS-2017, DBMCE-17, AHSCSR-17 & LEBL-17 ◽

10.17758/urst.u1217301 ◽

2017 ◽

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Use Changes ◽

Remote Sensing Data ◽

Sensing Data ◽

Gis Techniques

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Joint use of multitemporal and multisensor remote sensing data, PCA, and GIS techniques for the detection of changes at the lower Alfios River Channel, Greece

10.1117/12.510820 ◽

2004 ◽

Cited By ~ 1

Author(s):

Konstantinos G. Nikolakopoulos

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

River Channel ◽

Sensing Data ◽

Gis Techniques

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Identification of potential wetlands in Tiruchirappalli District, Tamil Nadu, India

International Journal of Environment ◽

10.3126/ije.v3i1.9944 ◽

2014 ◽

Vol 3 (1) ◽

pp. 78-84

Author(s):

A Job Martin Durai ◽

S Kalavathy ◽

V Gokula ◽

A Muthukrishnan

Keyword(s):

Remote Sensing ◽

Tamil Nadu ◽

Remote Sensing Data ◽

Past Research ◽

Development Planning ◽

Space Application ◽

Sensing Data ◽

Habitat Mosaic ◽

Wetland Inventory ◽

Inventory Development

Wetland maps are prerequisites for wetland inventory, development, planning, management, protection, and restoration, for conservation of wetland-dependent flora, fauna and humans. It is estimated that 15.26 million hectares exists as wetlands in India according to Space Application Centre (SAC), pertaining to wetlands having more than 56 hectares area. Past research on wetland conservation in the country has shown that micro-wetlands (satellite wetlands) around a bigger wetland act as constellation of habitat mosaic for resident and migratory waterfowls. Often, the size of these micro-wetlands is much smaller than 50 hectares. Therefore, there is a great need to map such wetlands (smaller than 50 hectares). The Tiruchirappalli district, situated in the state of Tamil Nadu, India, is selected for the present investigation to identify the potential wetlands through geo-spatial technology (GIS & RS). All the wetlands within the Tiruchirappalli district have been demarcated from 1973 applying temporal remote sensing data. A total of 2399 wetlands of various size categories have been identified in the Tiruchirappalli District, Tamil Nadu, India. DOI: http://dx.doi.org/10.3126/ije.v3i1.9944 International Journal of Environment Vol.3(1) 2014: 78-84

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Remote sensing and GIS techniques for assessment of the soil water content in order to improve agricultural practice and reduce the negative impact on groundwater: case study, agricultural area Ştefan cel Mare, Călăraşi County

Water Science & Technology ◽

10.2166/wst.2012.209 ◽

2012 ◽

Vol 66 (3) ◽

pp. 580-587 ◽

Cited By ~ 2

Author(s):

Giuliano Tevi ◽

Anca Tevi

Keyword(s):

Remote Sensing ◽

Agricultural Development ◽

Negative Impact ◽

Agricultural Practices ◽

Remote Sensing Data ◽

Field Analysis ◽

Shallow Aquifer ◽

Agricultural Practice ◽

Sensing Data ◽

Satellite Technology

Traditional agricultural practices based on non-customized irrigation and soil fertilization are harmful for the environment, and may pose a risk for human health. By continuing the use of these practices, it is not possible to ensure effective land management, which might be acquired by using advanced satellite technology configured for modern agricultural development. The paper presents a methodology based on the correlation between remote sensing data and field observations, aiming to identify the key features and to establish an interpretation pattern for the inhomogeneity highlighted by the remote sensing data. Instead of using classical methods for the evaluation of land features (field analysis, measurements and mapping), the approach is to use high resolution multispectral and hyperspectral methods, in correlation with data processing and geographic information systems (GIS), in order to improve the agricultural practices and mitigate their environmental impact (soil and shallow aquifer).

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