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
ctrlnum article-3090
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><title lang="en-US">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</title><creator>Sofyan, Agus</creator><subject lang="en-US"/><subject lang="en-US">Land Cover, Aerial Photo, accuracy</subject><subject lang="en-US"/><description lang="en-US">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.</description><publisher lang="en-US">Universitas 17 Agustus 1945 Samarinda</publisher><contributor lang="en-US">Agus Sofyan</contributor><date>2018-03-09</date><type>Journal:Article</type><type>Other:info:eu-repo/semantics/publishedVersion</type><type>Other:Editorial Commentary</type><type>File:application/msword</type><type>File:application/pdf</type><identifier>http://ejurnal.untag-smd.ac.id/index.php/AG/article/view/3090</identifier><source lang="en-US">AGRIFOR; Vol 17, No 1 (2018): Maret; 1-6</source><source>2503-4960</source><source>1412-6885</source><language>eng</language><relation>http://ejurnal.untag-smd.ac.id/index.php/AG/article/view/3090/3261</relation><relation>http://ejurnal.untag-smd.ac.id/index.php/AG/article/view/3090/3262</relation><relation>http://ejurnal.untag-smd.ac.id/index.php/AG/article/downloadSuppFile/3090/526</relation><rights lang="en-US">Copyright (c) 2018 AGRIFOR</rights><recordID>article-3090</recordID></dc>
language eng
format Journal:Article
Journal
Other:info:eu-repo/semantics/publishedVersion
Other
Other:Editorial Commentary
File:application/msword
File
File:application/pdf
Journal:eJournal
author Sofyan, Agus
author2 Agus Sofyan
title 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
publisher Universitas 17 Agustus 1945 Samarinda
publishDate 2018
topic Land Cover
Aerial Photo
accuracy
url 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
contents 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.
id IOS761.article-3090
institution Universitas 17 Agustus 1945 Samarinda
institution_id 158
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library
library Perpustakaan Universitas 17 Agustus 1945 Samarinda
library_id 463
collection AGRIFOR
repository_id 761
subject_area Biologi
city KOTA SAMARINDA
province KALIMANTAN TIMUR
repoId IOS761
first_indexed 2018-03-09T19:28:23Z
last_indexed 2018-03-31T19:20:49Z
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