Integration of Remote Sensing into Forensic Investigation

Oluwatoyin Mary Yerokun; Dipo Theophilus Akomolafe

doi:10.56201/ijcsmt.vol.11.no3.2025.pg.129.144

📄 Download Paper

Integration of Remote Sensing into Forensic Investigation

Oluwatoyin Mary Yerokun & Dipo Theophilus Akomolafe

Abstract

Forensic is the scientific method used to solve a crime governed by the legal standards of admissible evidence and criminal procedure. Forensic investigation is the gathering and analysis of all crime related physical evidence in order to come to a conclusion about a suspect, forensic in this research focuses on the presentation of evidence before a court of competent jurisdiction. Before the evidence can be presented to court, it has to pass through a process called chain of custody. This research is carried out in order to provide a platform for the integration of remote sensing into forensic investigation by focusing on evidence found in crime scene and geodetic data relating to the evidence. Integration of remote sensing into forensic investigation is done using ArcGIS for geo-referencing and geo-coding, Microsoft Excel used for transporting data collected into ArcGIS and Garmin eTrex 10 GPS as a remote sensing device used to take coordinates. The system focuses on keeping track of chain of custody of evidence, keeping detail records regarding the evidence and location in which evidence were found, location through which evidence passes through (Chain of custody), geo-referencing of a map to show the whole area under consideration and geo-coding of the map with the geodetic data collected through the remote sensing device. This study reveals that integration of thematic map of region under consideration gives adequate description and location of the evidence and chain of custody and further present firsthand information to local authorities, forensic investigators and jury about the chain of custody.

Keywords

ForensicsForensic InvestigationRemote SensingGeo-referencingGISGeocodinggeodetic datachain of custody

References

Adekayode, F.O. and Akomolafe, D.T. (2014) A digital soil textural class determination from the percentages of silt and clay African Journal of Soil Science Vol. 2 (3), pp.072-076, September, 2014. Available online at www.internationalscholarsjournals.org © International Scholars Journals Adekayode, F.O. and Akomolafe, D.T. (2011) Creating a soil data base in a reconnaissance soil fertility study of an encroached forest reserve in Northern Nigeria for a reforestation programme. African Journal of Environmental Science and Technology Vol. 5(9), pp. 748-754, September 2011 Available online at http://www.academicjournals.org/AJEST ISSN 1996-0786 ©2011 Academic Journals Akomolafe, D.T., Adekayode, F.O., Gbadeyan, J.A. and Ibiyemi. T.S. (2009): Enhancing road monitoring and safety through the use of geospatial technology International Journal of Physical Sciences Vol. 4(5) pp. 343-348 Published by Academic Journals. Available at Research Gate, ORCID, Google Scholar and Academia Akomolafe,Dipo Theophilus,Abiola Olawale Ilori, Yerokun Oluwatoyin Mary (2018): Establishing a Process for Cyber Crimes Investigation Through Digital Forensics. 2018 5(1) 9-14 published by American Journal of Computer Science and Information Engineering (AASCIT), available online at http://www.aascit.org/journal/ajcsie. ISSN:2381-1110 (Print): ISSN:2381-1129 (online). E. A. Oyekan and I.T. Awolere A new subclass of univalent functions connected with convolution defined via employing a linear combination of two generalized differential operators involving sigmoid function. Maltepe J. Math. Vol. 11 (2020); no.2; 82-96. 11 21 E.A. Oyekan, S.R. Swamy and T.O. Opoola. Ruscheweyh derivate and a new generalized operator involving convolution. International Journal of Mathematics Trends and Technology (IJMTT) 67 (2021); no. 1; 88-100 Meera Gandhi.G, S.Parthiban, Nagaraj Thummalu Christy. A, (2015), “Ndvi: Vegetation change detection using remote sensing and GIS – A case study of Vellore District”, 3rd International Conference on Recent Trends in Computing 2015 (ICRTC- 2015). M.L.Waikar1 and Aditya P. Nilawar (2014) , “Identification of Groundwater Potential Zone using Remote Sensing and GIS Technique”, International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), Volume 3, Issue 5. Nathaniel A. Raymond, Britany L. Card, Isaac L. Baker (2014), “Developing Standard Remote Sensing Methodologies to Detect and Document Mass Atrocities”, International Association of Genocide Scholar, Volume 8, Issue 3, Article 6. Sophia S. Rwanga, J. M. Ndambuki (2017), “Accuracy Assessment of Land Use/Land Cover. Tumpa Mondal and Srimanta Gupta (2015), “Evaluation of Morphometric parameters of drainage networks derived from Topographic Map and Digital Elevation Model using Remote Sensing and GIS”, International Journal of Geomantic and Geosciences (IJGG), Volume 5, No 4.

Integration of Remote Sensing into Forensic Investigation

Abstract

Keywords

References

More Articles from INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND MATHEMATICAL THEORY