SUITABLE SITE SELECTION OF ALTERNATE HEALTH CENTER USING REMOTE SENSING AND GIS AT JIJIGA, ETHIOPIA

2021 ◽  
Author(s):  
ijmre journal
Keyword(s):  
Remote Sensing ◽  
Health Center ◽  
Site Selection ◽  
Remote Sensing And Gis ◽  
Suitable Site ◽  
Selection Of

scholarly journals Land Suitability Analysis for UrbanPlan Preparation Using Remote Sensing and GIS A Case of Anand-Vidyanagar-Karamsad Development Plan

10.29007/xcm1 ◽  
2018 ◽  
Author(s):  
Mehul Darshak ◽  
Rajan Zala ◽  
Manthan Bhandari ◽  
Dr. Shashikant Kumar
Keyword(s):  
Remote Sensing ◽  
Urban Development ◽  
Remote Sensing And Gis ◽  
Land Suitability ◽  
Development Plan ◽  
Gis Analysis ◽  
Suitability Analysis ◽  
Land Utilization ◽  
Land Suitability Analysis ◽  
Selection Of

Land Suitability analysis is important for preparation of Development Plan. The planning requires undertaking study of topography, water resources, land utilization, and development needs. The RS & GIS techniques offers suitable analytical opportunity to study variables required for selection of sites for various uses. This paper presents process adopted for the preparation of development plan of Anand Vidyanagar Karamsad Urban Development Authority (AVKUDA), regarding the land suitability analysis. The location and types of land to be protected were identified using RS Data and GIS analysis. Keywords— AVKUDA; Land Suitability; Planning; RS & GIS

scholarly journals Regional-scale analysis of lake outburst hazards in the southwestern Pamir, Tajikistan, based on remote sensing and GIS

2011 ◽  
Vol 11 (5) ◽  
pp. 1447-1462 ◽  
Author(s):  
M. Mergili ◽  
J. F. Schneider
Keyword(s):  
Remote Sensing ◽  
Risk Mitigation ◽  
Regional Scale ◽  
Remote Sensing And Gis ◽  
Scale Analysis ◽  
Empirical Modelling ◽  
Medium Resolution ◽  
Area 6 ◽  
Rating Scheme ◽  
Selection Of

Abstract. This paper presents an analysis of the hazards emanating from the sudden drainage of alpine lakes in South-Western Tajik Pamir. In the last 40 yr, several new lakes have formed in the front of retreating glacier tongues, and existing lakes have grown. Other lakes are dammed by landslide deposits or older moraines. In 2002, sudden drainage of a glacial lake in the area triggered a catastrophic debris flow. Building on existing approaches, a rating scheme was devised allowing quick, regional-scale identification of potentially hazardous lakes and possible impact areas. This approach relies on GIS, remote sensing and empirical modelling, largely based on medium-resolution international datasets. Out of the 428 lakes mapped in the area, 6 were rated very hazardous and 34 hazardous. This classification was used for the selection of lakes requiring in-depth investigation. Selected cases are presented and discussed in order to understand the potentials and limitations of the approach used. Such an understanding is essential for the appropriate application of the methodology for risk mitigation purposes.

scholarly journals Validity of using of GIS, SDI, Remote Sensing and Environmental factors for site selection of zones of coffee agriculture localization suitability modeling in Maraba sector, south province of Rwanda

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Jean Pierre Hitimana
Keyword(s):  
Remote Sensing ◽  
Environmental Factors ◽  
Spatial Data ◽  
Site Selection ◽  
Research Method ◽  
Coffee Plantation ◽  
Data Infrastructure ◽  
The Public ◽  
Selection Of

<p><strong>Abstract.</strong> In these last recent years farmers in the sector of Maraba in South Province of Rwanda had face challenges to keep producing good quality coffee and to be the 1st place in competition of cup of Excellence. We conducted this research in order to show how the use of Geographic Information Systems (GIS) and Spatial Data Infrastructure (SDI) models as the research method for growing and producing good quality coffee in taking into consideration environmental factors like: Elevation and temperature, Rainfall and water supply, Soil, Aspect and slopes.</p><p>The findings in this research about the selection of zones of coffee plantation and relation relationship to coffee quality will be published on Geo-Portal where maps and metadata created or collected will be available to the public and particularly to Maraba sector community.</p><p>The results of this research will be presented to Maraba sector community in a workshop so that they can gain knowledge of the land and the good quality of Maraba coffee.</p>

scholarly journals Aquaculture site selection for Japanese kelp (Laminaria japonica) in southern Hokkaido, Japan, using satellite remote sensing and GIS-based models

2010 ◽  
Vol 68 (4) ◽  
pp. 773-780 ◽  
Author(s):  
I Nyoman Radiarta ◽  
Sei-Ichi Saitoh ◽  
Hajime Yasui
Keyword(s):  
Remote Sensing ◽  
Site Selection ◽  
Satellite Remote Sensing ◽  
Laminaria Japonica ◽  
Suspended Solid ◽  
Remote Sensing And Gis ◽  
Physical Parameters ◽  
Important Species ◽  
Selection For ◽  
Japanese Kelp

Abstract Radiarta, I N., Saitoh, S-I., and Yasui, H. 2011. Aquaculture site selection for Japanese kelp (Laminaria japonica) in southern Hokkaido, Japan, using satellite remote sensing and GIS-based models. – ICES Journal of Marine Science, 68: 773–780. Japanese kelp (Laminaria japonica) is an important species cultured and harvested in Japan. The most suitable areas for hanging culture in southern Hokkaido were determined using geographic information system (GIS) models and a multicriteria evaluation approach. Analyses of physical parameters (sea surface temperature and suspended solid from SeaWiFS and MODIS) and available bathymetric data indicated that some 74% (1139 km2) of the total potential area with bottom depths <60 m had the two highest suitability scores. A local sensitivity analysis indicated that suspended solids were more important than temperature in affecting model output. This study demonstrates that GIS databases of different formats and sources can be used effectively to construct spatial models for kelp aquaculture.

scholarly journals Site selection for seaweed culture at Gerupuk Bay - West Nusa Tenggara using remote sensing and GIS

2015 ◽  
Vol 13 (1) ◽  
pp. 73 ◽  
Author(s):  
Kukuh Nirmala ◽  
Arlina Ratnasari ◽  
Syarif Budiman
Keyword(s):  
Remote Sensing ◽  
Site Selection ◽  
Landsat 8 ◽  
Energy Technology ◽  
Overlay Technique ◽  
Suitable Site ◽  
Selection For ◽  
Arcview Gis ◽  
Time And Energy ◽  
Seaweed Culture

<p class="NoParagraphStyle" align="center"><strong>ABSTRACT</strong></p><p class="NoParagraphStyle" align="center"> </p><p>Site selection for seaweed culture faces some problems that require more cost, time, and energy. Technology such as remote sensing and geographic information systems (GIS) were regarded as good solutions for site selection to increase seaweed culture. The aim of this study was to analyze suitable location for seaweed culture at Gerupuk Bay, West Nusa Tenggara. The site selection used Landsat 8 satellite with sea surface temperature (SST), total suspended matter (TSM), and protected location as the parameters. Each parameters were processed using Er Mapper 7.0 software and then Arcview GIS 3.2 software to create the thematic GIS map. Site selection for seaweed culture could be determined by maps overlay technique. The results of this study showed that the most suitable site for seaweed culture at Gerupuk Bay was 342.44 ha (25.22%), moderate suitable site was 190.78 ha (14.05%), and unsuitable site was 669.32 ha (49.3%).</p><p> </p><p>Keywords: GIS, remote sensing, location suitability, seaweed culture</p><br /><p class="NoParagraphStyle"> </p><p class="NoParagraphStyle"> </p><p class="NoParagraphStyle" align="center"><strong>ABSTRAK</strong></p><p class="NoParagraphStyle"> </p><p>Penentuan lokasi budidaya rumput laut sering mengalami kendala yang membutuhkan banyak biaya, waktu, dan tenaga. Teknologi berupa penginderaan jauh (inderaja) dan sistem informasi geografis (SIG) menjadi solusi yang baik dalam penentuan lokasi yang sesuai untuk pengembangan budidaya rumput laut. Penelitian ini bertujuan untuk menganalisis kesesuaian lokasi budidaya rumput laut perairan Teluk Gerupuk, Nusa Tenggara Barat. Penentuan kesesuaian lokasi budidaya rumput laut menggunakan citra satelit Landsat 8 dengan parameter suhu permukaan laut (SPL), muatan padatan tersuspensi (MPT), dan keterlindungan. Parameter tersebut diolah menggunakan perangkat lunak Er Mapper 7.0 kemudian dilakukan pengolahan SIG menggunakan perangkat lunak Arcview GIS 3.2 sehingga dihasilkan peta tematik. Peta tematik tersebut ditumpang susun sehingga dihasilkan peta kesesuaian lokasi budidaya rumput laut. Hasil penelitian ini menunjukkan bahwa lokasi yang sesuai untuk budidaya rumput laut di Teluk Gerupuk adalah 342,44 ha (25,22%), luas lokasi cukup sesuai adalah 190,78 ha (14,05%), dan luas lokasi tidak sesuai adalah 669,32 ha (49,3%).</p><p> </p><p>Kata kunci: SIG, penginderaan jauh, kecocokan lokasi, budidaya rumput laut</p>

scholarly journals IDENTIFICATION OF POTENTIAL SITES FOR WATER HARVESTING STRUCTURES USING GEOSPATIAL TECHNIQUES AND MULTI-CRITERIA DECISION ANALYSIS

2018 ◽  
Vol XLII-5 ◽  
pp. 329-334
Author(s):  
A. Saha ◽  
M. Patil ◽  
S. Karwariya ◽  
S. M. Pingale ◽  
S. Azmi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Decision Analysis ◽  
Central India ◽  
Remote Sensing And Gis ◽  
Water Harvesting ◽  
Suitability Analysis ◽  
Site Suitability ◽  
Multi Criteria Decision Analysis ◽  
Suitable Site ◽  
Water Harvesting Structures

<p><strong>Abstract.</strong> Changing hydrological phenomenon and increase the water demand in all sectors create a huge problem of water scarcity. Precipitation is one and only major source to mitigate this problem. In Central India, the average annual precipitation is sufficient in most of the part but not capable to harvest and utilize during the summer season. Identification of suitable site for water harvesting structures plays a key role to enhance the water level for watershed management. In the present study, suitable sites have been demarcated to build up a water resource development plan in Mandri river watershed of Kanker district, Chhattisgarh using Remote Sensing and GIS techniques. Basic guidelines of Integrated Mission for Sustainable Development (IMSD) have been used for identifying the suitable sites for water harvesting structures. Remote Sensing and GIS are used for site suitability analysis of water harvesting structure to extract the information of various features such as lineament, land use/land cover, soil, slope, lithology, geomorphology, drainage order, rainfall etc. In order of importance, we have assigned weights to each feature. Slope and design discharge are key parameters in site suitability analysis, so that we assigned maximum weight to this parameters. A possible site suitability map for water harvesting/conservation structures was derived following an Analytical Hierarchy Process (AHP) and Multi-Criteria Decision Analysis (MCDA). This work attempts to identify the probable zone for water harvesting structures such as boulder check/gabion, gully plug/bori bandhan, check dams and stop dams. Multi-criteria analysis is applied in GIS to assist the decision-makers in determining appropriate zones for water harvesting structures in view of external characteristics of the watershed. Further, using weighted overlay method, the catchment was grouped into categories of suitable or highly suitable.</p>

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