scholarly journals SITE SUITABILITY ANALYSIS FOR SOLID WASTE LANDFILL SITE LOCATION USING GEOGRAPHIC INFORMATION SYSTEMS AND REMOTE SENSING: A CASE STUDY OF BANKET TOWN BOARD, ZIMBABWE

2017 ◽  
Vol 2 (4) ◽  
Author(s):  
Steven Jerie
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Quantitative Methods ◽  
Environmental Parameters ◽  
Geographic Information ◽  
Google Earth ◽  
Suitability Analysis ◽  
Suitability Map ◽  
The Town

<p>The aim of this study was to map the optimal sites that were environmentally suitable for locating a dumpsite in the Zimbabwean town of Banket as well as investigating the suitability of the dumpsite being currently used by the Banket Town Board. Geographic Information Systems and remote sensing constituted the main quantitative techniques used in data collection. Digitizing, buffering and overlaying were used to map suitable sites for locating a dumpsite in Banket. Environmental parameters were extracted from Google Earth by way of digitizing, buffered using Quantum GIS 2.8 and then overlaid using Quantum GIS 2.8 to produce the suitability map. In support of the quantitative techniques, qualitative techniques that included interviews, questionnaires, observations and literature were used to compliment the quantitative methods. Qualitative techniques comprised of knowledge accessed through interviews from the Banket Town Board, Environmental Management Agency and literature from which significant environmental parameters were drawn and their buffer distances as well as environmental effects of the current dumpsite in Banket. Results of the research presented a suitability map which showed the possible suitable sites for establishing a dumpsite in Banket as well as the most considered suitable site in the eastern part of the town. In mapping the suitable sites according to a number of buffered parameters (Central Business District, Railway line, Road, and Rivers) the current dumpsite was found to lie within the parameters designated as unsuitable. It was recommended that Banket should consider closing its current dumpsite for a better location from the possible suitable sites established by the study especially the site on the eastern part of the town which is suitable in terms of all buffered parameters as well as other confounding variables that include economy, accessibility and elevation as well as slope.  </p>

scholarly journals THE UTILIZATION OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS FOR ANALYSIS OF LAND SUITABILITY FOR THE GROWING OF CIPLUKAN (PHYSALIS ANGULATA L.)

2019 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Nur Adliani ◽  
Nirmawana Simarmata ◽  
Heriansyah Heriansyah
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Land Suitability ◽  
Suitability Analysis ◽  
Land Suitability Analysis ◽  
Sensing Data ◽  
Physalis Angulata

Remote sensing data and geographic information systems are widely used for land suitability analysis for crops such as coffee and corn. This study aims to analyze and map suitable land for the plant known locally as ciplukan (Physalis angulata L.).  As the cultivation of this plant is expected to be developed by the Institute of Technology of Sumatra, analysis of this type is needed. The parameters used in this study were slope, land use, rainfall and soil type. Information extraction from remote sensing data was carried out via visual interpretation of aerial photography used to create land-cover maps. Shuttle RADAR Topographic Mission (SRTM) data was converted from digital surface model (DSM) to digital terrain model (DTM) to provide elevation information. Land suitability analysis was performed using a scoring method and overlay analysis. The results obtained from the analysis identified several classes of land suitability for Physalis angulata L., categorized as suitable, less suitable, and not suitable. The less suitable class, scored at 9 to 11, comprised a total area of 180.96 ha, while the suitable area, scored at 12, comprised a total area of 49.1 ha.

scholarly journals Application of Remote Sensing Data for Slum Identification Using Geography Information System (Case: Former Harbor, Singaraja City)

2021 ◽  
Vol 20 (1) ◽  
pp. 8
Author(s):  
Ruhilatul Janah ◽  
A Sediyo Adi Nugraha
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Google Earth ◽  
Remote Sensing Images ◽  
Geography Information ◽  
The Impact ◽  
Slum Settlements

This research was conducted in Singaraja City using high-resolution remote sensing images and geographic information systems. The purpose is to use remote sensing images and geographic information systems to identify slum settlements, especially the former harbor area in Singaraja City. Slum settlement is the impact of population growth that is difficult to control. As a result, the remote sensing image can identify three features: slums, non-slum settlement, and non-slum areas. Most slum settlements are located in coastal areas, and non-slum settlements are located in areas close to economic locations and tourist sites and offices. The most significant introduction to slum identification comes from the building area. Based on these results, it can be concluded that slum settlement can be identified through images obtained from Google earth and recognized visually through interpretation keys. 

Introducing Flood Susceptibility Index Using Remote-Sensing Data and Geographic Information Systems

2017 ◽  
pp. 381-400
Author(s):  
Nikolaos Stathopoulos ◽  
Kleomenis Kalogeropoulos ◽  
Christos Polykretis ◽  
Panagiotis Skrimizeas ◽  
Panagiota Louka ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Remote Sensing Data ◽  
Geographic Information ◽  
Sensing Data ◽  
Susceptibility Index ◽  
Flood Susceptibility

scholarly journals Spatial and temporal variation of vegetation cover in Al- Soudah area and its relationship to precipitation during the period (2014- 2018 AD) using remote sensing and geographic information systems: التباين المكاني والزمني للغطاء النباتي بمنطقة السودة وعلاقته بالتساقط خلال الفترة (2014- 2018م) باستخدام الاستشعار عن بعد ونظم المعلومات الجغرافية

2021 ◽  
Vol 5 (3) ◽  
pp. 107-87
Author(s):  
Fadi Abdullah alanazi, Yaser Rashed Alzannan, Faten Hamed Na Fadi Abdullah alanazi, Yaser Rashed Alzannan, Faten Hamed Na
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Geographic Information ◽  
Temporal Changes ◽  
Spatial And Temporal Variation ◽  
Spatial And Temporal Changes ◽  
Modified Soil

Souda is one of the important regions in Saudi Arabia in terms of spatial and temporal changes in vegetation cover; It includes the National Park, which is a leading tourist destination and one of the most beautiful parks in it. by tracking the spatial and temporal changes of vegetation cover by integrating remote sensing and geographic information systems, through the application of the modified soil vegetation index MSAVI during the period (2014- 2018), it became clear the decrease in the quantity and density of vegetation cover in the area. Thus, the study concluded that this indicator is one of the best indicators that can be used to extract vegetation cover from satellite images.

Sign in / Sign up

Export Citation Format

Share Document