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Dr. Sarawut Ninsawat

Associate Professor / Head ICT
Remote Sensing and Geographic Information Systems
Department of Information and Communications Technologies (ICT)
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Dr. Sarawut Ninsawat received the Doctoral degree at Osaka City University (OCU), Japan. He was a Postdoctoral researcher at National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan. Currently, he is Associate Professor in Remote Sensing program, Department of ICT, School of Engineering and technology, Asian Institute of Technology. 

  1. Doctoral of Creative Cities in Urban Information, Osaka City University, Japan, (2009)
  2. M. Sc. in Space Technology Applications and Research), Asian Institute of Technology, Thailand, (2002)
  3. B. Sc. in Environment Science, Silpakorn University, Thailand, (2000)

His research interests are the application of machine learning using Remote Sensing and GIS for agriculture and natural resource management. Additionally, he is also expert in the development Web Mapping Application and framework especially focus on the implementation of standard OGC Web services (OWS) framework and the various Location-Based Service applications were developed to utilize the location information for logistic purpose. 

  1. AT76.09 Digital Image Processing in Remote Sensing
  2. AT76.22 WebGIS Technology
  3. AT76.23 Free and Open Source Software for Geospatial Analysis
  4. AT76.29 Positioning and Location-Based Services Technology
  5. AT76.30 Unmanned Aerial Vehicle Applications and Processing
  1. N. S. Lun, S. Chaudhary and S. Ninsawat (2023). Assessment of Machine Learning Methods for Urban Types Classification Using Integrated SAR and Optical Images in Nonthaburi, Thailand. Sustainability, 15(2), 17 pages. (ISSN: 2071-1050) (Impact Factor 2019: 2.576) https://doi.org/10.3390/su15021051
  2. K. Upakankaew, S. Ninsawat, S.G.P. Virdis and N. Sasaki (2022). Discrimination of Mangrove Stages Using Multitemporal Sentinel-1 C-Band Backscatter and Sentinel-2 Data—A Case Study in Samut Songkhram Province, Thailand. Forests, 13(9), 23 pages. (ISSN: 1999-4907) (Impact Factor 2021: 3.282) DOI: https://doi.org/10.3390/f13091433
  3. C. Wangsomcholk, R. P. Shrestha, S. Ninsawat and E. Winijkul (2022). A zonal and segmentation analysis of the relationships between variations in sea-surface temperatures of the western Pacific Ocean and Southeast Asian rainfall. Journal of Hydroinformatics, 24(5), 13 pages. (ISSN: 1464-7141) (Impact Factor 2021: 3.058) https://doi.org/10.2166/hydro.2022.015
  4. J. Som-ard, M. Immitzer, F. Vuolo, S. Ninsawat and C. Atzberger (2022). Mapping of crop types in 1989, 1999, 2009 and 2019 to assess major land cover trends of the Udon Thani Province, Thailand. Computers and Electronics in Agriculture, 198, 15 pages (ISSN: 0168-1699) (Impact Factor 2021: 5.565) DOI: https://doi.org/10.1016/j.compag.2022.107083
  5. A. Jirasirichote, S. Ninsawat, S. Sangam and N.K. Tripathi (2021). Performance of AnnAGNPS model in predicting runoff and sediment yields in Nan Province, Thailand. Heliyon, 7(11), 12 pages. (ISSN: 24058440) (Impact Factor 2021 : 2.85) DOI: https://doi.org/10.1016/j.heliyon.2021.e08396
  6. T. Bauer, M. Immitzer, R. Mansberger, F. Vuolo, B. Márkus, M.V. Wojtaszek, L. Földváry, A. Szablowska-Midor, J. Kozak, I. Oliveira, A. van Lieshout, Z. Vekerdy, S. Ninsawat, C. Mozumder (2021). The Making of a Joint E-Learning Platform for Remote Sensing Education: Experiences and Lessons Learned. Remote Sensing, 13(9), 15 pages. (ISSN: 2072-4292) SCOPUS citation : 1    (Impact Factor 2019: 4.509) DOI: https://doi.org/10.3390/rs13091718
  7. M. Worachairungreung, S. Ninsawat, A. Witayangkurn, M. N. Dailey (2021). Identification of Road Traffic Injury Risk Prone Area Using Environmental Factors by Machine Learning Classification in Nonthaburi, Thailand. Sustainability, 13(7), 25 pages. (ISSN: 2071-1050) SCOPUS citation : 3   (Impact Factor 2019: 2.576) DOI: https://doi.org/10.3390/su13073907
  8. S. Chaudhary, S. Ninsawat and T. Nakamura (2021). Influence of Altitude and Image Overlap on Minimum Mapping Size of Chemical in Non-Destructive Trace Detection Using Hyperspectral Remote Sensing. Applied Sciences, 11(6), 12 pages. (ISSN: 2076-3417) SCOPUS citation : 2   (Impact Factor 2019: 2.474) DOI : https://doi.org/10.3390/app11062586 
  9. S. Siangsuebchart, S. Ninsawat, A. Witayangkurn and S. Pravinvongvuth (2021). Public Transport GPS Probe and Rail Gate Data for Assessing the Pattern of Human Mobility in the Bangkok Metropolitan Region, Thailand. Sustainability, 13(4), 29 pages  (ISSN: 2071-1050) SCOPUS citation : 2    (Impact Factor 2019: 2.576) DOI: https://doi.org/10.3390/su13042178
  10. K.C. Sumesh, S. Ninsawat, J. Som-ard (2021). Integration of RGB-Based Vegetation Index, Crop Surface Model and Object-Based Image Analysis Approach for Sugarcane Yield Estimation Using Unmanned Aerial Vehicle. Computers and Electronics in Agriculture, 180, 19 pages. (ISSN: 0168-1699) SCOPUS citation : 18 (Impact Factor 2021: 5.565) DOI: https://doi.org/10.1016/j.compag.2020.105903
  11. V. É. Molnár, E. Simon, S. Ninsawat, B. Tóthmérész, and S. Szabó (2020). Pollution Assessment Based on Element Concentration of Tree Leaves and Topsoil in Ayutthaya Province, Thailand. International Journal of Environmental Research and Public Health, 17(14), 13 pages. (ISSN: 1660-4601) SCOPUS citation : 2  (Impact Factor 2019: 2.849) DOI: https://doi.org/10.3390/ijerph17145165  
  12. S. Chaudhary, S. Ninsawat and T. Nakamura (2019). Non-Destructive Trace Detection of Explosives Using Pushbroom Scanning Hyperspectral Imaging System. Sensor, 19(1), 15 pages. (ISSN: 1424-8220) SCOPUS citation : 9 (Impact Factor 2019: 3.275) DOI: https://doi.org/10.3390/s19010097 
  13. J. Som-ard, M. D. Hossain, S. Ninsawat and V. Veerachitt (2018). Pre-harvest Sugarcane Yield Estimation Using UAV-Based RGB Images and Ground Observation. Sugar Tech, 20(2), 13 pages. (ISSN: 0974-0740) SCOPUS citation : 22 (Impact Factor 2019: 1.198) DOI: https://doi.org/10.1007/s12355-018-0601-7
  14. S. Ninsawat and M. D. Hossain (2016) Identifying Potential Area and Financial Prospects of Rooftop Solar Photovoltaics (PV). Sustainability, 8(10), 16 pages. (ISSN:2071-1050) SCOPUS citation : 7 (Impact Factor 2019: 2.576) DOI: https://doi.org/10.3390/su8101068
  15. M. D. Hossain, S. Ninsawat, S. Sharma, T. Koottatep and Y. Sarathai (2016). GIS oriented service optimization for fecal sludge collection. Spatial Information Research, 9 pages. (ISSN:236-3286)  SCOPUS citation : 2 (SJR 2018: 0.332)  DOI: https://doi.org/10.1007/s41324-016-0024-z 
  1. Truck Mobility Data Analysis for Reducing Carbon Emission
  2. SMART Surveillance and DSS for Cane Monitoring and Management 
  3. Develop a weather data base to make the operational regulations of SRT in order to provide safe transportation
  4. Innovation on Remote Sensing Education and Learning (IRSEL)
  5. Smart PWA mobile application: GIS Mobile Application on iOS and Android device for supporting Thai Provincial Waterworks Authority
  6. Smart Survey Mobile application supporting Sugar Cane survey (Mitrphol Research and Development)
  7. Developing GIS plugins for estimating sugar cane yield
  8. Identifying Specific Diseases and Pests on Sugarcane Leaves and Trunks using Image Processing (Co-Pi)
  9. IATSS Project on Local Governance and Urban Transport Environment in Asian Developing Countries
  10. Prototype Development of Remote Sensing Image Map Server in Thailand and GMS countries (http://mapserver.hondalab.star.ait.ac.th/gms/)
  11. TTDIS Project : GIS Application System for Transport and Tourism Division of UNESCAP
  12. The Application of Remote Sensing Image Server for Mobile Device using FOSS
  13. AIT Tsunami team: Sub team Detailed Mapping of the Damage in the Affected Areas”. Construct a Web Map Service of Tsunami geospatial information sharing system (http://www.tsunami.ait.ac.th)
  14. Technical Committee member of Open Geospatial Consortium (OGC) standards
  15. Member in several of OGC Standard Working Group (SWG)
    • Sensor Observation Service (SOS) 2.0 SWG
    • SensorML 2.0 SWG
    • Observation & Measurement (O&M) 2.0 SWG
    • Sensor Web Enablement (SWE) Common SWG
    • Web Processing Service 2.0 SWG
    • Web Coverage Service 2.0 SWG
  1. Representative Thai OSGeo Chapter
  2. OSGeo Foundation Charter member
  3. Open Source Geospatial Foundation (OSGeo) member
  4. Japan Society of Geoinformatics
  5. ISPRS Working Group IV/5 Distributed, Webbased Geoinformation Services and Applications
  1. Machine Learning,
  2. Sugarcane Yield,
  3. Web Map Application,
  4. Location-Based Services,
  5. Logistic application,
  6. OSGeo