Classification of Land Cover by Using Aerial Photo At CV. Alaska Prima Coal, Cooling Village, Sanga-Sanga Sub-district, Kutai Kartanegara District, East Kalimantan Province
| Main Author: | Sofyan, Agus |
|---|---|
| Other Authors: | Agus Sofyan |
| Format: | Article info Editorial Commentary application/msword application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas 17 Agustus 1945 Samarinda
, 2018
|
| Subjects: | |
| Online Access: |
http://ejurnal.untag-smd.ac.id/index.php/AG/article/view/3090 http://ejurnal.untag-smd.ac.id/index.php/AG/article/view/3090/3261 http://ejurnal.untag-smd.ac.id/index.php/AG/article/view/3090/3262 http://ejurnal.untag-smd.ac.id/index.php/AG/article/downloadSuppFile/3090/526 |
Daftar Isi:
- Remote sensing can be done visually and digitally. one of the advantages of airborne photography data generated by drone (phantom-3) compared to satellite imagery with optical sensitivity is its ability to obtain cloud-free images and freedom of recording time and the displayed area shows clearly defined objects corresponding to land cover. characteristics. To limit the object-based area of this research method applied is Object Based Image Analysis (OBIA).This study aims to classify land cover using highly resolved aerial photography with the help of Object Based Image Analysis (OBIA) technique and calculate the accuracy and accuracy, land cover classification by using Objeck Based Image (OBIA) analysis through examination of field conditions.classifying land cover, the classification includes shrubs, young shrubs, plantations (oil palms), shrubs, mines, open land, roads and water bodies with Accuracy of Overcome 0.86.