scholarly journals Enhancement of Application Model for Substation Site Selection

2019 ◽  
Vol 9 (1) ◽  
pp. 3626-3630
Keyword(s):  
Spatial Data ◽  
Social Impact ◽  
Integrated System ◽  
Geographical Information ◽  
Mitigation Measures ◽  
Gis And Remote Sensing ◽  
Application Model ◽  
Route Of Transmission ◽  
Remote Sensing Techniques ◽  
Substation Planning

The existing ESASIRF program (Transmission Line Route Selection Application Model and Development of Environmental Sensitive Area (ESA) Safe and Intelligent Route Finder (ESASIRF) and integration with PLS-CAD) does not cover substation selection and environmental protection. It focuses only on an assessment of the risk of landslides concerning the proposed route of transmission. This study presents the potential of an integrated system using the Geographical Information System (GIS) and Remote Sensing techniques in substation selection to develop an automatic and intelligence method for substation planning in this specific delicate area of the environment. During the selection of the proposed substation, a social impact assessment was also included in this research by defining requirements, problems as well as suitable mitigation measures. With this research, all spatial data for South Putrajaya is acquired and the previous system can be fully utilized. Spatial data from this research were also used to define soil type and flood-prone areas. Finally, this system will be used to assist TNBs in gazetting by applying sustainable concepts in their Transmission Route and Corridor by following Section 21 and Section 22 ACT 172 1973.

scholarly journals SENSOR FUSION, GIS AND AI TECHNOLOGIES FOR DISASTER MANAGEMENT

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1677-1683
Author(s):  
H. Kemper ◽  
G. Kemper
Keyword(s):  
Machine Learning ◽  
Disaster Management ◽  
Spatial Data ◽  
Integrated System ◽  
Theory And Practice ◽  
Machine Learning Techniques ◽  
Gis And Remote Sensing ◽  
Technological Advances ◽  
Learning Techniques ◽  
Important Benefit

Abstract. Modern Disaster Management Systems are based on several columns that combine theory and practice, software, and hardware being under technological advance. In all parts, spatial data is key in order to analyze existing structure, assist in risk assessment and update the information after a disaster incident. This paper focus on technological advances in several fields of spatial analysis putting together the advantages, limitations and technological aspects from well-known or even innovative methods, highlighting the huge potential of nowadays technologies for the field of Disaster Risk Management (DRM).A focus then is lying on GIS and Remote Sensing technologies that are showing the potential of high-quality sensors and image products that are getting easier to access and captured with recent technology. Secondly, several relevant sensors being thermal or laser-based are introduced pointing out the application possibilities, their limits, and potential fusion of them. Emphasis is further driven to Machine Learning techniques adopted from Artificial Intelligence that improve algorithms for auto-detection and represent an important step forwards to an integrated system of spatial data use in the Disaster Management Cycle. The combination of Multi-Sensor Systems, new Platform technologies, and Machine Learning indeed creates a very important benefit for the future.

scholarly journals Identification of ground water recharge potential zones by using remote sensing and geographic information system

2020 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
Ballu Harish ◽  
Mahammad Haseena
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Ground Water ◽  
Water Potential ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zones ◽  
Gis And Remote Sensing ◽  
Remote Sensing Techniques

<p><strong>Background: </strong>The ground water is the most precious and important resource around the world and is decreasing day by day. In connection, there is a need to bound the potential groundwater zones. The geographical information system (GIS) and remote sensing techniques have become important tools to locate groundwater potential zones.</p><p><strong>Methods</strong>: This research has been carried out to identify ground water potential zones in Nuthankal Mandal with help of GIS and remote sensing techniques. In order to evaluate the ground water potential zones, different thematic maps such as geology, slope, soil, drainage density map, land use and land cover and surface water bodies i.e., lakes and other using remotely-sensed data as well as toposheets and secondary data, collected from concern department. The prepared layers are further used for mapping and identification of ground water potential zones.</p><p><strong>Results</strong>: In this study ground water potential zones are demarked with the help of composite maps, which are generated using GIS tools. The accurate information to obtain the parameters that can be considered for identifying the ground water potential zone such as geology, slope, drainage density and lineament density are generated using the satellite data and survey of India (SOI) Topo-sheets, the groundwater potential zones are classified into five categories like very poor, poor, moderate, good &amp; very good. The use of suggested methodology is demonstrated for a selected study area in Nuthankal Mandal.</p><p><strong>Conclusions</strong>: This groundwater potential information was also used for identification of suitable locations for extraction of water.</p>

scholarly journals GIS-Based Digital Terrain Analysis of Assam-Meghalaya Foothills in Kamrup District, Assam

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
C. Borpujari ◽  
A. K. Bora
Keyword(s):  
Geographical Information ◽  
Terrain Analysis ◽  
Gis And Remote Sensing ◽  
Shuttle Radar Topographic Mission ◽  
Detailed Assessment ◽  
Spatio Temporal ◽  
Remote Sensing Techniques ◽  
Elevation Model ◽  
The Impact ◽  
Terrain Characteristics

Terrain characteristics and their evaluation usually come under geomorphological study and more particularly the applied geomorphological study (Prasad & Sarkar 2011). Foothills are a geographically defined zone having a gradual increase in elevation at the base of a mountain or hill range. Detailed assessment of the present terrain parameters of the study area using GIS is significant as it shows the influence on the landscape of the area. It is a prerequisite in effective management of the impact of transition upon the landscape and its natural resources for sustainable management. In the study, an attempt has been made to delineate the foothill belt of the Assam-Meghalaya border in Kamrup District, Assam using Geographical Information system (GIS), and remote sensing techniques. Datasets available from USGS Earth Explorer, i.e. Shuttle Radar Topographic Mission (SRTM) and Digital Elevation Model (DEM) are used for analyzing the elevation, contour, slope, and terrain characteristics. The present study aims at getting an information archive of the geomorphological and terrain characteristics of the Assam-Meghalaya foothills in Kamrup District, Assam, and its spatio-temporal variation.

scholarly journals Assessing high altitude glacier thickness, volume and area changes using field, GIS and remote sensing techniques: the case of Nevado Coropuna (Peru)

2010 ◽  
Vol 4 (3) ◽  
pp. 313-323 ◽  
Author(s):  
P. Peduzzi ◽  
C. Herold ◽  
W. Silverio
Keyword(s):  
Remote Sensing ◽  
Local Governments ◽  
Scientific Evidence ◽  
Geographical Information ◽  
Additional Stress ◽  
Ice Thickness ◽  
Volume Loss ◽  
Gis And Remote Sensing ◽  
Andean Glaciers ◽  
Remote Sensing Techniques

Abstract. Higher temperatures and changes in precipitation patterns have induced an acute decrease in Andean glaciers, thus leading to additional stress on water supply. To adapt to climate changes, local governments need information on the rate of glacier area and volume losses and on current ice thickness. Remote sensing analyses of Coropuna glacier (Peru) delineate an acute glaciated area decline between 1955 and 2008. We tested how volume changes can be estimated with remote sensing and GIS techniques using digital elevation models derived from both topographic maps and satellite images. Ice thickness was measured in 2004 using a Ground Penetrating Radar coupled with a Ground Positioning System during a field expedition. It provided profiles of ice thickness on different slopes, orientations and altitudes. These were used to model the current glacier volume using Geographical Information System and statistical multiple regression techniques. The results revealed a significant glacier volume loss; however the uncertainty is higher than the measured volume loss. We also provided an estimate of the remaining volume. The field study provided the scientific evidence needed by COPASA, a local Peruvian NGO, and GTZ, the German international cooperation agency, in order to alert local governments and communities and guide them in adopting new climate change adaptation policies.

scholarly journals Surface Runoff Estimation for Godavari Eastern Delta Using SCS Curve Number and Geographical Information System

2020 ◽  
pp. 7-13
Author(s):  
G. Kishore Kumar ◽  
M. Raghu Babu ◽  
A. Mani ◽  
M. Martin Luther ◽  
V. Srinivasa Rao
Keyword(s):  
Land Use ◽  
Surface Runoff ◽  
Andhra Pradesh ◽  
Curve Number ◽  
Geographical Information ◽  
Accurate Estimation ◽  
Entire Study ◽  
Gis And Remote Sensing ◽  
Erdas Imagine ◽  
Remote Sensing Techniques

NRSC-CN for surface runoff estimation is one of the most widely used methods. GIS and remote sensing techniques facilitate accurate estimation of surface runoff from an area. Water availability estimation can be understand by rainfall and runoff is essential. Runoff generated by rainfall is not only dependent on the intensity, duration and the distribution of rainfall, but also soil type, vegetation, and land-use types have significant effects on the runoff pattern. The present study aims to estimate runoff in a study area. The study was carried out in Godavari Eastern Delta in Andhra Pradesh, India. The land use/land cover map, soil map was prepared. The soil and land use map has been prepared by the information available at Andhra Pradesh space application centre. For the rectification of reference, soil and land use map of the study area ERDAS IMAGINE-8.4 software was used. For 30 years surface runoff was estimated, as the runoff value depends on the rainfall, trend of runoff was found to be highly dependable on the quantity of rainfall received within the entire study area. The yearly trend of rainfall during 1987 was 8.97 it’s but the other years, and therefore the runoff was also found to follow an equivalent trend. Similarly, for the year 1995, the runoff was recorded as high, which was also having the highest rainfall.

scholarly journals An Exploration of the Panther Mountain Crater Impact Using Spatial Data and GIS Spatial Correlation Analysis Techniques

2019 ◽  
Author(s):  
Sawyer Reid stippa ◽  
Konstantinos P. Ferentinos ◽  
George Petropoulos
Keyword(s):  
New York ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Impact Crater ◽  
Hypervelocity Impact ◽  
Geographical Information ◽  
Surrounding Area ◽  
Gis And Remote Sensing ◽  
Significant Difference ◽  
Ground Truthing

Identification and mapping of hypervelocity impact crater (HICs) sites require significant effort on ground truthing data collection and local instrument‐driven research. The recent advancements in Earth observation (EO) technology and geographical information systems (GIS) have increased our ability to study HICs. With EO imagery and relevant spatial data now readily available online at no cost, GIS and remote sensing provide a very attractive option in investigating the Earth’s surface. In this framework, our study addresses the use of GIS and EO techniques by looking at a possible impact crater in upstate New York, United States. The Panther Mountain crater is thought to have been created by a meteor impact over 300,000 years ago during the Devonian or Mississippian geologic periods. Using freely available data from previous research, this study aimed at mapping land cover and geologic data and analyzing their correlation at Panther Mountain and it surrounding area. Findings of the study have showed encouraging results. A correlation between Panther Mountain’s bedrock geology and vegetation was reported to be higher than the coefficient of the surrounding area. Similarly, the correlation between Panther Mountain’s surficial geology type and vegetation was significantly lower than that of the other region. The significant difference in correlations between the two regions supports the Panther Mountain impact site. All in all, the present study also produced encouraging results as regards to the use of GIS in identifying potential hypervelocity crater sites.

scholarly journals ATES: a geo-informatics decision aid tool for the integration of groundwater into land planning

2015 ◽  
Vol 17 (5) ◽  
pp. 771-788 ◽  
Author(s):  
Roxane Lavoie ◽  
Florent Joerin ◽  
Manuel Rodriguez
Keyword(s):  
Spatial Data ◽  
Multicriteria Analysis ◽  
Primary Source ◽  
Geographical Information ◽  
Mitigation Measures ◽  
Land Planning ◽  
Web Based ◽  
Contamination Risk ◽  
Spatial Data Integration ◽  
Hydrogeological Data

Groundwater is the primary source of drinking water for small municipalities and individuals. However, groundwater can be polluted by almost any land use. Consequently, many governments have acquired groundwater information in the aim of protecting the resource. Nevertheless, the resulting data are often ill-fitted to planning needs. In a previous study, a method was developed to help planners interpret hydrogeological data. It combines land planning and hydrogeological data through multicriteria analysis, in order to obtain groundwater contamination risk maps. The method proved efficient and useful. However, it could not be easily implemented by land planners, who do not always have training with these types of data and geographical information system (GIS). This paper presents how the method was integrated into a web-based interface called Aménagement du Territoire et Eau Souterraine (ATES). ATES allows planners to view groundwater basic maps, evaluate the present contamination risk for groundwater, and analyse new planning scenarios. ATES also suggests mitigation measures and offers tools to discuss the possible solutions. The tool has been developed, tested and validated with land planners. To our knowledge, it is the first geo-informatics tool developed especially for planners that aims at facilitating the incorporation of groundwater into planning. Moreover, an innovative approach called MACBETH was used for data aggregation, a novelty in groundwater management and spatial data integration.

scholarly journals Conversion of land use and cover in northwest Amazon (Brazil)

2014 ◽  
Vol 44 (3) ◽  
pp. 230-237 ◽  
Author(s):  
Carlos Antonio da Silva Junior ◽  
Marcos Rafael Nanni ◽  
Anderson Antonio da Silva ◽  
Everson Cezar ◽  
Franciele Romagnoli
Keyword(s):  
Land Use ◽  
Socioeconomic Development ◽  
Great Part ◽  
Geographical Information ◽  
Land Cover Mapping ◽  
Gis And Remote Sensing ◽  
Space Management ◽  
Remote Sensing Techniques ◽  
Northwest Amazon ◽  
Land Use And Cover

The increasing use of natural resources in a disorderly way has been demanding constant monitoring and ecological-economic zoning. The knowledge on land use and cover allows that measures that guarantee the preservation, maintenance of the environment and space management be appropriate to the reality, since through these factors it is possible to follow the probable environmental impacts and the socioeconomic development of a place in several contexts. The Geographical Information System (GIS) and remote sensing techniques have been applied to land use and land cover mapping. This study aimed to analyze the conversion of land use from different perspectives, concerning geoprocessing techniques, in the southeastern of Roraima State, Brazil, in two distinct periods. In order to verify the land use and cover, two analyses were conducted, using the Spring and TerraView softwares. Great part of the cultivated areas was converted into capoeira, what probably denotes an ending of profitable agriculture, as well as its abandonment caused by the nutritional deficiency of the soil, that became inappropriate for cultivation in the subsequent years. A fuzzy logic would possibly fit well to the types of data analyzed, because the attribute query is overly complex.

scholarly journals DETECTION OF THE NITRATE POLLUTION SOURCES IN SHALLOW AQUIFER, USING INTEGRATION OF RS&GIS WITH STABLE ISOTOPES TECHNOLOGIES

2018 ◽  
Vol XLII-3 ◽  
pp. 1511-1517
Author(s):  
N. B. I. Shakak
Keyword(s):  
Land Use ◽  
Stable Isotopes ◽  
Land Cover ◽  
Spatial Data ◽  
Nitrate Pollution ◽  
Geographical Information ◽  
Shallow Aquifer ◽  
Nitrate Sources ◽  
Gis And Remote Sensing ◽  
Mosaic Image

Geographical information system (GIS) and remote sensing technique is a tool which is used for acquiring data from space, storing, analyzing and displaying spatial data, also can use for investigating source of environmental pollution which is affect health. Sudan landsat mosaic image which acquired in 2013 was used in this study to develop land use and land cover maps for tow selected study area, Khartoum urban area, and Bara locality in North kordofan state western Sudan. The main objective to assess the source of Nitrate pollution in shallow aquifer. ERDAS software was used to create land cover-land use maps for the study areas. For Khartoum town we used land sat mosaic image which acquire in 2013, and used supervised classification which more closely controlled than unsupervised. In this process, we select pixel that represent patterns you recognized or can identify with help from knowledge of the data, the classes desired, and the algorithm to be used is required. In this paper we integrated the (GIS&amp;RS), and stable isotopes methods for fingerprinting Nitrate sources in shallow boreholes. The global positioning system (GPS), used in the field to identify the shallow boreholes location in a three dimensional coordinate (Latitude, longitude, and altitude), Water samples were collected from 19 shallow boreholes in the study areas according to the standard sampling method send to laboratory to measure stable nitrogen (δ15Nnitrate), and Nitrate-oxygen (δ18Onitrate) isotopes. Analysis were conducted by using isotope ratio mass spectrometry (IRMS). We can conclude that, special distribution and integration of GIs &amp; RS help to identify the source of nitrate pollution.

scholarly journals Glacier change over the past four decades in the middle Chinese Tien Shan

2006 ◽  
Vol 52 (178) ◽  
pp. 425-432 ◽  
Author(s):  
Baolin Li ◽  
A-Xing Zhu ◽  
Yichi Zhang ◽  
Tao Pei ◽  
Chengzhi Qin ◽  
...  
Keyword(s):  
Average Rate ◽  
Tien Shan ◽  
Geographical Information ◽  
Gis And Remote Sensing ◽  
Mountain Glaciers ◽  
The Past ◽  
Glacier Changes ◽  
Northern Chinese ◽  
Remote Sensing Techniques ◽  
High Elevations

AbstractTerminus fluctuation and area change in mountain glaciers in the middle Chinese Tien Shan over the past four decades are examined, based on Landsat multispectral scanner (MSS), Enhanced Thematic Mapper Plus (ETM+), Système Probatoire pour l’Observation de la Terre (SPOT) highresolution visible (HRV) imagery, topographical maps and China Glacier Inventory data using Geographical Information System (GIS) and remote-sensing techniques. This study shows that the glaciers in the study area have undergone continuous recession between 1963 and 2000. Over the past 37 years the total glacier area decreased from 55 × 106 m2 to 48 × 106 m2 (a 13% decrease). The glaciers at low elevations decreased more rapidly than those at high elevations. Seven of the ten large valley glaciers in the study area retreated by at least 150 ± 49 m during this period. The average rate of recession for these glaciers was 4–8 m a−1. The recession rate between 1986 and 2000 was larger than between 1963 and 1986. The glacier changes in the study area were similar to those in the Ürümqi river basin in the northern Chinese Tien Shan. It is apparent that temperature rise over the past four decades has had a profound impact on these glaciers.

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