<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>Journal of Geosciences and Geomatics</journalTitle>
<eissn>2373-6704</eissn>
<publicationDate>2024-06-12</publicationDate>
<volume>12</volume>
<issue>3</issue>
<startPage>55</startPage>
<endPage>61</endPage>
<doi>10.12691/jgg-12-3-1</doi>
<publisherRecordId>JGG20241231</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Design of Geological Sketch Map in a Forested Area Using the Advanced Optical Remote Sensing Techniques and the Petrography: Kambele and Surroundings Example (Batouri Gold District, Eastern Cameroon)</title>
<authors>
<author>
<name>Bissegue Jean Claude</name>
<email>jeanclaudebissegue7@gmail.com</email>
<affiliationId>1</affiliationId>
<affiliationId>2</affiliationId>
</author>
<author>
<name>Ravindra Nath Tiwari</name>
<affiliationId>2</affiliationId>
</author>
<author>
<name>Namit Kumar Jha</name>
<affiliationId>2</affiliationId>
</author>
<author>
<name>Tchameni Rigobert</name>
<affiliationId>2</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Department of Earth Sciences, Faculty of Science, University of Ngaound¨¦r¨¦ P.O. Box 454 Ngaound¨¦r¨¦, Cameroon</affiliationName>



</affiliationsList>
<abstract language="eng">The objective of this study is to design the geological sketch map of the Kambele sector and surrounding areas using object-oriented classification (OOC) and field observation data. Kambele is a vast mining field located in the center of the Batouri gold district in Eastern Cameroon. The method for lithological mapping consisted of the segmentation and supervised classification of the Landsat 8/9 OLI image, then the directional filtering of the SRTM image for the extraction of Faults. The derived data were then cross-referenced with field observation points in GIS Software. The major result includes the geological map of Kambele; this will contribute to improve the geological and mining information of the sector.</abstract>
<fullTextUrl format="pdf">https://pubs.sciepub.com/jgg/12/3/1/jgg-12-3-1.pdf</fullTextUrl>
<keywords language="eng"><keyword>Kambele</keyword>
<keyword>advanced remote sensing</keyword>
<keyword>Petrography</keyword>
<keyword>forested areas</keyword>
<keyword>applied geomatics</keyword>
<keyword>sketch map</keyword>
</keywords>
</record>
</records>
