{"title":"An Assessment of Spatio-temporal Land Use/Land Cover Dynamics Using Landsat Time Series Data (2008-2022) in Kuliyapitiya West Divisional Secretariat Division in Kurunagala District, Sri Lanka","authors":"W. Withanage, P. K. Mishra, B. C. Jayasinghe","doi":"10.4038/jgs.v4i1.52","DOIUrl":"https://doi.org/10.4038/jgs.v4i1.52","url":null,"abstract":"The main aim of the study is to detect the changes of land use land cover (LULC) in Kuliyapitiya West Divisional Secretariat division during 2008-2022. Following the download of Landsat images in the study area, several procedures were taken to pre-process the images. This included performing radiometric and geometric corrections to eliminate undesired sensor data and atmospheric noise. The Maximum Likelihood Classification (MLC) was used as the main technique of image post-processing to derive land use maps for the target years. To evaluate the accuracy of outputs 525 ground control points were verified using the Google Earth Pro engine. The classification accuracy of the study was 86% for 2008, 79 % in 2015, and 80 % in 2022. The results showed that over the past 15 years, settlements and built-up areas increased from 20.84% to 28.14% and 0.33% to 2.71%, respectively, whereas coconut lands decreased from 58.3% to 48.6%. The settlement, which showed an increase of land area of 11.9 km2 throughout the period, was identified as the main land use gainer while coconut was the main land use that lost 15.9 km2 of its land area over the past fifteen years. The built-up area showed a 3.96 km2 overall gain during the period due to urbanization and the expansion of the industrial, educational, and service sectors in the study area. The other four land use classes have not undergone any significant changes throughout the relevant time. The study highlights the importance of combining accuracy evaluation and image classification algorithms to gain a more comprehensive understanding of the LULC changes. Hence, our findings could assist decision-makers in land use planning to efficiently guide the sustainable land management.","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"12 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140427571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reduced Equations for K UTM Scale Factor and GNSS Usage in Chilean Cadastral Environments","authors":"E. Soto-Marquez, M. Caverlotti-Silva","doi":"10.4038/jgs.v4i1.51","DOIUrl":"https://doi.org/10.4038/jgs.v4i1.51","url":null,"abstract":"Topographic distances from global navigation systems (GNSS) equipment are being progressively involved in legal land parcel registration applications (Bramanto et al., 2019; Dabove, 2019; Pullar and Donaldson, 2022; Roberts, 2005; Tamrakar, 2013), a practice not entirely reliable from the surveying point of view of legal land registration. GNSS observations expressed as Universal Transverse Mercator (UTM) coordinates, are cartographic projection data and are not exactly what horizontal ground topographic distances indicate, which are valid for land tenure, deeds, rights purposes. A method for converting GNSS positions to horizontal topographic distances in cadastral environments preserving metric accuracy standards fixed for parcel registration according to Chilean authorities, is presented here. Complex equations to determine scale factor K from the UTM projection have been reduced to a set of constant coefficients, allowing replicating electronic distance measurement (EDM) performance in horizontal distances used in other experiences as Australia, by just providing coordinates and observed accuracies. All assumptions are aimed to simplify the property registration procedures in singular geographic environments like Chile, where urban settlements can be found at heights 2,000 m or more, being of utmost relevance to bear in mind differences between projected and ground coordinates. Applied experiences performed near Santiago de Chile at heights of 600 m over the MSL, yielded 3 mm difference in 500 m distance compared to measurements carried out by means of GNSS equipment in static mode.","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139530586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. G. T. L. Aberathne, H. Nandalal, I. M. S. Satthyaprasad
{"title":"Application of School Bus Routing Problem in GIS to Organize School Buses in Kandy City, Sri Lanka","authors":"B. G. T. L. Aberathne, H. Nandalal, I. M. S. Satthyaprasad","doi":"10.4038/jgs.v3i2.44","DOIUrl":"https://doi.org/10.4038/jgs.v3i2.44","url":null,"abstract":"Generally, Kandy city and traffic congestion go hand in hand. This situation becomes worse during school time. The geographical location of the city, the limited number of entrances and the large number of schools located within a small area are contributing to this condition. This study attempts to propose a new model to reduce school time traffic congestion using School Bus Routing Problem (SBRP) method. Network analysis in GIS facilitates the build of this system. SBRP seeks to plan an efficient schedule for school buses to pick up students from a bus stop and drop them to school by satisfying various constraints like; school time window, maximum walking distance and riding time, and the traffic. SBRP selects the nearest bus stops, generates suitable bus routes and visualizes traffic congestion on roads in Kandy city. Vehicle Routing Problem (VRP), closest facility, and location-allocation tools identify GIS-based solutions to SBRP. The proposed model selected suitable bus stops to drop students to a school and to generate the fastest bus route for the school buses. Visualizing a 12-hour daytime traffic in Kandy City, all schools are covered by the 56 fastest bus routes. The maximum riding time and distance limits to 59 minutes and 16 km respectively. Historical traffic data identifies 6.00 am to 8.00 am and 12.00 pm to 2.00 pm as the most traffic-congested time in the city. Finally, all problems of SBRP are solved and a systematic method is introduced to transport school students by optimizing the traveling time of students with existing traffic congestion.","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116961259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hydrometeorological Landslides on the Windward Side of Western Ghats – A Case Study of Kootickal, Kerala, India","authors":"A. Amrutha, A. Varghese, S. Prakash, K. R. Baiju","doi":"10.4038/jgs.v3i2.49","DOIUrl":"https://doi.org/10.4038/jgs.v3i2.49","url":null,"abstract":"On the windward side of Western Ghats, the frequency of landslides has significantly increased in recent years. Kerala had catastrophic landslides and floods in 2018, 2019, 2020, and 2021, resulting in loss of lives and property. On October 2021, a cloudburst occurred in middle Kerala, causing multiple devastating landslides in districts of Kottayam and Idukki. The study focused on how the topographic, physical, geological, and anthropogenic factors in the windward slope of the Western Ghats influence the occurrence of landslides. The landslide susceptibility was analyzed using the frequency ratio method on the basis of recently occurred landslide locations in the Manimala river basin, with special reference to Kootikal. The impact of each factor was analyzed against the GPS coordinates of landslide locations to estimate the frequency ratio value. The findings revealed that the torrential rainfall experienced in Kerala and the anthropogenic activities, especially the watershed management work performed in the area, significantly increased landslide susceptibility of the basin. About 5% of Manimala river basin is highly susceptible to landslides, and this area comes under the Kootikal sub-basin. The study recommends a rigorous geophysical assessment on the influence of watershed management operations on a landslide and an EIA of roads in the Kootickal region.","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116180790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Watershed Management Prioritization in Paddy Land Uses: A Case Study in Hungamala Ela Sub-watershed of Mahaweli River Basin of Sri Lanka","authors":"N. Withanage, G. Abeysekara","doi":"10.4038/jgs.v3i1.48","DOIUrl":"https://doi.org/10.4038/jgs.v3i1.48","url":null,"abstract":"","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131307191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessment of Ecological Disturbance on Indian Sundarbans with Special Reference to Amphan Cyclone by Using Geospatial Technology","authors":"S. Prakash, A. Varghese, A. Amrutha, K. R. Baiju","doi":"10.4038/jgs.v3i1.47","DOIUrl":"https://doi.org/10.4038/jgs.v3i1.47","url":null,"abstract":"","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131936882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modelling Urban Heat Island with Landsat Images and LiDAR Datasets","authors":"E. Şengün, H. Arefi, S. Aksoy, P. Taheri","doi":"10.4038/jgs.v3i1.46","DOIUrl":"https://doi.org/10.4038/jgs.v3i1.46","url":null,"abstract":"","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126669523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Review of Case Study Research Strategy in Studies of Cadastral Systems","authors":"H. Divithure, C. Tang","doi":"10.4038/jgs.v3i1.45","DOIUrl":"https://doi.org/10.4038/jgs.v3i1.45","url":null,"abstract":"","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127131089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrating the Spatial Autocorrelation Structure of Irregularly Distributed Wind Measurement Stations to Model Wind Patterns Using R","authors":"D. Welikanna","doi":"10.4038/jgs.v2i2.42","DOIUrl":"https://doi.org/10.4038/jgs.v2i2.42","url":null,"abstract":"","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"21 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129112781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Review and Development of the Nigerian Geodetic Control Network","authors":"K. Aleem, A. Abubakar","doi":"10.4038/jgs.v2i2.40","DOIUrl":"https://doi.org/10.4038/jgs.v2i2.40","url":null,"abstract":"","PeriodicalId":199553,"journal":{"name":"Journal of Geospatial Surveying","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126750445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}