Contribuations of Remote Sencing and Giographic Information Systems in Sustainable Agricultural Development a. Developing Soil Fertility Maps of Farafra Oasis Using Remote Sensing and GIS Techniquesto Manipulate and Produce Fertility Maps

2016 ◽  
Vol 7 (12) ◽  
pp. 913-919
Author(s):  
I. Hegazi
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Soil Fertility ◽  
Agricultural Development ◽  
Remote Sensing And Gis

scholarly journals Remote Sensing and GIS based site suitability analysis for tourism development in Vaishali block, Bihar

2021 ◽  
Vol 15 (2) ◽  
pp. 12-22
Author(s):  
Rajesh Jayaraman ◽  
B.Santhosh Kumar ◽  
Sudhir Kumar Singh
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Tourism Development ◽  
Remote Sensing And Gis ◽  
Suitability Analysis ◽  
Force Factor ◽  
Gis And Remote Sensing ◽  
Gis Applications ◽  
Travel Industry

Geographic Information Systems (GIS) and Remote Sensing are presently recognized generally as an improve instrument for overseeing, breaking down, and showing gigantic volumes of fluctuated information suitable to numerous neighborhood and provincial arranging exercises. Because of the composite idea of the travel industry arranging issues, the planned of GIS in settling these issues is progressively perceived. This paper will think a portion of the conceivable outcomes of GIS applications in the travel industry arranging. For the most part, GIS applications in the travel industry have been tight to recreational office stock, the travel industry situated land the board, and diversion untamed life strife; and have been thin by absence of financing, and awkward techniques. Utilizing the case of site wellness investigation for the travel industry improvement and mapping, this paper features a few uses of GIS in the travel industry arranging in vaishali square, Bihar. According to our present investigation; the most reasonable the travel industry site recognized by the examination is inside significant towns. The urban focus with plausibility to develop into the travel industry focuses. The rest of the land shows a low appropriateness scale because of absence of significant appreciation for make a solid force factor. Availability is an essential for the travel industry advancement. Great street organize availability with closeness to railroads station or air terminal demonstrated solid vacationer potential site, this combined with proximity to grand magnificence delineates high appropriateness. Significant vacation destinations, for example, legacy locales, gardens and water bodies or lake demonstrated high appropriateness. This can be corresponded to the way that legacy destinations and other high appropriate highlights are converted into reasonable the travel industry site.

scholarly journals Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS

DYNA ◽  
2017 ◽  
Vol 84 (201) ◽  
pp. 186 ◽  
Author(s):  
Jesús Adolfo Anaya ◽  
John Fernando Escobar-Martínez ◽  
Héctor Massone ◽  
Gisel Booman ◽  
Orlando Mauricio Quiroz-Londoño ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Agricultural Development ◽  
Remote Sensing And Gis ◽  
Para Determinar ◽  
Del Rio

El presente estudio tiene como fin determinar el potencial de humedales a nivel de pixel en la llanura de inundación del Río León, se consideraron aspectos de hidrología, vegetación hidrofítica y suelos hidromórficos. Se utilizaron mediciones en campo y modelos distribuidos espacialmente para modelar la hidrología superficial y los niveles piezométricos. También se utilizaron imágenes de satélite para determinar áreas inundadas y vegetación. Los mapas existentes del instituto geográfico Agustín Codazzi fueron utilizados para definir la distribución espacial de los suelos hidromórficos. Se prestó atención especial a la infraestructura agrícola, donde los diques artificiales y trasvases han sido utilizados para modificar la hidrología superficial con el fin de promover el establecimiento de plantaciones y pastoreo. Un total de 536 km2 cumplieron una o más condiciones de humedal según las variables biofísicas, pero solo 393 km2 fueron seleccionados mediante reglas lógicas como pixeles de humedal. La combinación de variables biofísicas para la definición del potencial de humedal es discutida en términos de la distribución espacial y las implicaciones para el manejo de los recursos naturales.

Characterization and Evaluation of Soils of Singanallur Watershed Using Remote Sensing and GIS

2017 ◽  
Vol 8 (1) ◽  
pp. 51-56
Author(s):  
R. Vasundhara ◽  
◽  
S. Dharumarajan ◽  
Rajendra Hegde ◽  
S. Srinivas ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing And Gis
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