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

The article describes experience of using geographic information systems in archaeological research of the Brovarka river basin. This river is а part of surface waters of Pereiaslav region and it is located in the south-eastern part of the region. The study of sites in the region began in the middle of the XIX century. From this time until the end of the 1960s the research focus was concentrated only on the certain objects of the micro-region. During the next period (up to the early 1990s) the several field studies was conducted on the territory, that allows to accumulate many archaeological materials. Despite the aforementioned, yet the purposeful study of the territory was not carried out. In the early 2000s a generalization of information about archaeological sites in the micro-region and their further field survey was started. So, we have begun a comprehensive study of archaeological sites, lined up within the Brovarka river basin. The need to operate a large amount of diverse information and to attract a wide range of sources has forced us to use new approaches in the study of the past of the region: the use of geographic information systems, remote sensing data and GPS positioning. The main research focus was concentrated on the study of the ancient settlement systems. The study was carried out in the context of the implementation of following three areas: а records of archaeological sites, an analysis of the spatial characteristics of ancient settlement systems and use of remote sensing data for different research needs. The particular features and results of their implementation are proposed in this publication.

Download Full-text

Combined use of geophysical data, satellite remote sensing data and geographic information systems (GIS) to locate and map archaeological relics

10.12681/eadd/29840 ◽

2012 ◽

Author(s):

Αλεξάνδρα Καραμήτρου

Keyword(s):

Remote Sensing ◽

Information Systems ◽

Geographic Information Systems ◽

Satellite Remote Sensing ◽

Remote Sensing Data ◽

Geographic Information ◽

Geophysical Data ◽

Sensing Data ◽

Combined Use

Download Full-text

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

International Journal of Remote Sensing and Earth Sciences (IJReSES) ◽

10.30536/j.ijreses.2019.v16.a3112 ◽

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.

Download Full-text

Mapping of land potentially for maize plant in Madura Island-Indonesia using remote sensing data and geographic information systems (GIS)

10.21107/amzeri.2020.1 ◽

2020 ◽

Author(s):

Suhartono Suhartono ◽

◽

Agoes Soegianto ◽

Achmad Amzeri

Keyword(s):

Remote Sensing ◽

Information Systems ◽

Geographic Information Systems ◽

Remote Sensing Data ◽

Secondary Data ◽

Geographic Information ◽

Land Suitability ◽

Sensing Data ◽

Maize Productivity ◽

Maize Cultivation

Maize productivity in Indonesia was still low (5.241 tons/ha) compared to the average of the ten largest maize producing countries in the world (6.179 tons/ha). The potential for maize on the island of Madura is approximately 360,000 hectares. The potential for maize cultivation in Madura continues to decrease in land quality due to improper land clearing and land-use change. The purpose of this research was to make a map of land suitability for maize using Remote Sensing Data and Geographic Information System (GIS). The land suitability method for maize plants used satellite imagery as a data source, supported by fieldwork and secondary data. Data analysis using Geographic Information Systems (GIS). The results of the analysis of land suitability modeling based on agroecosystem potential found that most of the Madura area was suitable for maize cultivation. Madura island had a land area of 456,622.3ha for maize cultivation, where 170.379.5 (15.4%) was very appropriate, 211.412.3 ha (46.3%) was appropriate, 160,098.6 (35.1%) was less appropriate, and 14,732.0 ha (3.2%) was not appropriate.

Download Full-text