<mets:mets xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" OBJID="eprint_41949" LABEL="Eprints Item" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:mets="http://www.loc.gov/METS/"><mets:metsHdr CREATEDATE="2026-05-15T20:48:31Z"><mets:agent TYPE="ORGANIZATION" ROLE="CUSTODIAN"><mets:name>Repository Universitas Negeri Padang</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_41949_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>Monitoring Perubahan Tutupan Lahan dengan Metode Object-Based Image Analysis (OBIA) pada Citra Sentinel 2-A Tahun 2017- 2021 (Studi Kasus: Kecamatan Sungai Rumbai, Kabupaten Dharmasraya)</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Hafa Mey</mods:namePart><mods:namePart type="family">Engrila</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Perkembangan lahan akibat ekspansi perubahan lahan non terbangun menjadi lahan terbangun dan meningkatnya jumlah penduduk 4,01 % pada tahun 2017-2021 maka dilakukan penelitian dengan tujuan melihat deteksi lahan dengan metode obia tahun 2017 – 2021 dan melihat perubahan lahan yang terjadi baik itu luas lahan maupun perubahan lokasi lahan. Metode Based Image Analysis (OBIA) terdiri dari segmentasi dengan algorithma example based classification, dan overlay untuk melihat perubahan. Penelitian ini dilakukan di Kecamatan Sungai Rumbai, Kabupaten Dharmasraya dengan menggunakan citra sentinel 2-A (level 1-C). Hasil dari penelitian ini terdapat 5 klasifikasi tutupan lahan yaitu: lahan terbuka, perkebunan karet, perkebunan sawit, permukiman dan semak. Perubahan tutupan lahan yang terjadi yaitu: lahan terbuka meningkat sebesar 16,32 ha, perkebunan karet menurun 360,50 ha, perkebunan sawit meningkat 302,05 ha, permukiman meningkat 60,60 Ha, dan semak menurun 18,51 ha. Pada metode obia di dapatkan overall accuracy sebesar 94,44% dan kappa accuracy sebesar 89,58%.</mods:abstract><mods:classification authority="lcc">G Geography (General)</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8601">2022-03</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Universitas Negeri padang;Pdd. Geografi FIS UNP</mods:publisher></mods:originInfo><mods:genre>Thesis</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_41949"><mets:rightsMD ID="rights_eprint_41949_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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    </mods:useAndReproduction></mets:xmlData></mets:mdWrap></mets:rightsMD></mets:amdSec><mets:fileSec><mets:fileGrp USE="reference"><mets:file OWNERID="https://repository.unp.ac.id/id/eprint/41949/1/final_B1_06_Hafa_Mey_Engrila_18331032_1483_2022.pdf" ID="eprint_41949_83958_1" SIZE="4875335" MIMETYPE="application/pdf"><mets:FLocat LOCTYPE="URL" xlink:href="https://repository.unp.ac.id/id/eprint/41949/1/final_B1_06_Hafa_Mey_Engrila_18331032_1483_2022.pdf" xlink:type="simple"></mets:FLocat></mets:file></mets:fileGrp></mets:fileSec><mets:structMap><mets:div ADMID="TMD_eprint_41949" DMDID="DMD_eprint_41949_mods"><mets:fptr FILEID="eprint_41949_document_83958_1"></mets:fptr></mets:div></mets:structMap></mets:mets>