| dc.contributor.advisor | Setiawan, Yudi | |
| dc.contributor.advisor | Rahadian, Aswin | |
| dc.contributor.author | Warman, Muhammad Aditya | |
| dc.date.accessioned | 2022-07-13T07:17:48Z | |
| dc.date.available | 2022-07-13T07:17:48Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/112462 | |
| dc.description.abstract | Penginderaan jauh merupakan sumber data penting untuk memperkirakan tutupan vegetasi pada wilayah yang luas dan dapat dimafaatkan dalam menentukan tutupan kanopi mangrove. Tujuan dari penelitian ini adalah menganalisis klasifikasi tutupan lahan menggunakan citra foto udara, menganalisis tutupan kanopi vegetasi mangrove dari sensor satelit SPOT6, dan mengevaluasi perbandingan tutupan kanopi dari SPOT 6 dan tutupan lahan dari citra foto udara. Software yang digunakan dalam penelitian ini adalah Software Agisoft Metashape Professional, eCognition Developer, dan ArcMap 10.4. Analisis yang digunakan yaitu analisis vegetasi NDVI yang dikorelasikan dengan persentase tutupan kanopi mangrove. Hasil analisis didapatkan R2 dari ketiga lokasi yaitu Pabeanudik sebesar 0,9334 (93%), Karangsong sebesar 0,8855 (88%), dan Loasarang sebesar 0,8718 (87%). Hasil tersebut menandakan bahwa korelasi antara analisis vegetasi (NDVI) dengan persentase tutupan mangrove sangat baik. | id |
| dc.description.abstract | Remote sensing is an important data source for estimating vegetation cover over a large area and can be used to determine mangrove canopy cover. The purpose of this study was to analyze land cover classification using drone imagery, analyze mangrove vegetation canopy cover from SPOT6 satellite sensors, and evaluate the comparison of canopy cover from SPOT 6 and land cover from drone images. The software used in this research is Agisoft Metashape Professional Software, eCognition Developer, and ArcMap 10.4. The analysis used is NDVI vegetation analysis which is correlated with the percentage of mangrove canopy cover. The results of the analysis obtained R2 from the three locations, namely Pabeanudik of 0.9334 (93%), Karangsong of 0.8855 (88%), and Loasarang of 0.8718 (87%). These results indicate that the correlation between vegetation analysis (NDVI) and the percentage of mangrove cover is very good. | id |
| dc.language.iso | id | id |
| dc.publisher | IPB University | id |
| dc.title | Analisis Tutupan Kanopi Mangrove menggunakan Citra Multispektral Resolusi Tinggi | id |
| dc.title.alternative | Mangrove Canopy Cover Analysis using High Resolution Multispectral Image | id |
| dc.type | Undergraduate Thesis | id |
| dc.subject.keyword | Mangrove canopy | id |
| dc.subject.keyword | Remote sensing | id |
| dc.subject.keyword | Segmentation | id |
