Geographic Information System Construction Using High-resolution Satellite Images

OPSEARCH ◽  
2002 ◽  
Vol 39 (1) ◽  
pp. 14-18 ◽  
Author(s):  
Yen-Wei Chen ◽  
Xiang-Yan Zeng ◽  
Zensho Nakao
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
High Resolution ◽  
Satellite Images ◽  
Geographic Information ◽  
System Construction ◽  
High Resolution Satellite Images

scholarly journals Study of Geodetic datum of Nepal, China and Pakistan and its transformation to World Geodetic System

2011 ◽  
Vol 10 ◽  
pp. 30-35
Author(s):  
Niraj Manandhar
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
High Resolution ◽  
Coordinate System ◽  
International Organizations ◽  
Satellite Images ◽  
Remotely Sensed Data ◽  
System A ◽  
High Resolution Satellite Images ◽  
Different Sources

There are many government, non-government and International organizations dealing in compilation of database or electronic maps with data from different sources often becomes necessary to transform from one coordinate system to another in order to work within a single unifying framework. The significance of the study of the coordinate system of China, Pakistan, Nepal will benefit many researchers working in various disciplines and using geographic information system a part of their research. The use of remotely sensed data for environmental studies, disaster related matters and many more has widely been in use due to the availability of high resolution satellite images but it requires to have a relationship between the satellite images and ground location called geo-referencing. To establish this relationship the understating of the coordinate system is needed and also integrating to the national grid of the particular country if required then further knowledge of the parameters of datum chosen by the particular country will be a must. This paper illustrates some findings of the coordinate system of this region.

scholarly journals Realization of a Geographic Information System for aid decision-making for forest management

2020 ◽  
Vol 2 (02) ◽  
pp. 175-180
Author(s):  
Djelloul Benatiallah ◽  
Halima Hidaoui ◽  
Bahous Nasri ◽  
Kada Bouchouicha ◽  
Ali Benatiallah
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Information System ◽  
Decision Support ◽  
Geographic Information System ◽  
Satellite Images ◽  
Geographic Information ◽  
Dialogue Process ◽  
Current Context ◽  
Aid Decision

This work aims to create a decision support and geographic information system aimed at optimizing the management of forest capital in the Adrar region. Through this awareness, we question the place of geographic information in the dialogue process and the approach to sustainable development. Cadastral data, satellite images, cartographic and photographic data will be presented. Data processing and data integration will be discussed. The expected results must provide knowledge beyond reach without these tools. They clarify the importance of satellite images and the spatial component of geographic information. In the current context of sustainable development, geographic information appears necessary for decision-making.

scholarly journals Soil loss estimation using geographic information system in enfraz watershed for soil conservation planning in highlands of Ethiopia

2016 ◽  
Vol 5 (2) ◽  
pp. 21-30 ◽  
Author(s):  
Gizachew Tiruneh ◽  
Mersha Ayalew
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Soil Loss ◽  
Satellite Images ◽  
Geographic Information ◽  
Rainfall Erosivity ◽  
Gis And Remote Sensing ◽  
Digital Elevation ◽  
Elevation Model ◽  
Soil Loss Rate

Accelerated soil erosion is a worldwide problem because of its economic and environmental impacts. Enfraz watershed is one of the most erosion-prone watersheds in the highlands of Ethiopia, which received little attention. This study was, therefore, carried out to spatially predict the soil loss rate of the watershed with a Geographic Information System (GIS) and Remote Sensing (RS). Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was used to estimate potential soil losses by utilizing information on rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map, vegetation cover (C) using satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using satellite images. Based on the analysis, about 92.31% (5914.34 ha) of the watershed was categorized none to slight class which under soil loss tolerance (SLT) values ranging from 5 to 11 tons ha-1 year-1. The remaining 7.68% (492.21 ha) of land was classified under moderate to high class about several times the maximum tolerable soil loss. The total and an average amount of soil loss estimated by RUSLE from the watershed was 30,836.41 ton year-1 and 4.81 tons ha-1year-1, respectively.Int. J. Agril. Res. Innov. & Tech. 5 (2): 21-30, December, 2015

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