KAJIAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ASTER VNIR DAN SWIR UNTUK KLASIFIKASI PENUTUP DAN PENGGUNAAN LAHAN DI KECAMATAN KATINGAN TENGAH, KABUPATEN KATINGAN, PROVINSI KALIMANTAN TENGAH
The availability of an accurate data with an appropriate scale and accuracy of the landcover and landuse of Katingan Tengah District is very critical. This accurate data will be used as the base for taking a long-term planning decision. Central Kalimantan is a very large areal, therefore spatial dat...
| Main Authors: | , |
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| Format: | Thesis |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2013
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| Subjects: |
| _version_ | 1826047070315741184 |
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| author | , Didit Wahyudi , Drs. Projo Danoedoro, MSc, PhD |
| author_facet | , Didit Wahyudi , Drs. Projo Danoedoro, MSc, PhD |
| author_sort | , Didit Wahyudi |
| collection | UGM |
| description | The availability of an accurate data with an appropriate scale and accuracy of
the landcover and landuse of Katingan Tengah District is very critical. This accurate
data will be used as the base for taking a long-term planning decision. Central
Kalimantan is a very large areal, therefore spatial data processing with remote sensing
method is considered better than the terrestrial inventory method. Terrestrial method
takes more time, more cost, and more energy. Artificial Neural Network (ANN)
method is one of remote sensing methods that is expected to give a better accuracy for
landcover and landuse. The good side about this method is its capability in spectral
and non-spectral data combination. ANN does not require normal distribution of
spectral training samples. This algorithm is also able to overcome the problem of mix
pixels.
The objectives of this study are : ( 1 ) To find out how accurate the ANN
method and the non-spectral data for landuse identification |
| first_indexed | 2024-03-13T23:04:20Z |
| format | Thesis |
| id | oai:generic.eprints.org:123656 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T23:04:20Z |
| publishDate | 2013 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1236562016-03-04T08:32:31Z https://repository.ugm.ac.id/123656/ KAJIAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ASTER VNIR DAN SWIR UNTUK KLASIFIKASI PENUTUP DAN PENGGUNAAN LAHAN DI KECAMATAN KATINGAN TENGAH, KABUPATEN KATINGAN, PROVINSI KALIMANTAN TENGAH , Didit Wahyudi , Drs. Projo Danoedoro, MSc, PhD ETD The availability of an accurate data with an appropriate scale and accuracy of the landcover and landuse of Katingan Tengah District is very critical. This accurate data will be used as the base for taking a long-term planning decision. Central Kalimantan is a very large areal, therefore spatial data processing with remote sensing method is considered better than the terrestrial inventory method. Terrestrial method takes more time, more cost, and more energy. Artificial Neural Network (ANN) method is one of remote sensing methods that is expected to give a better accuracy for landcover and landuse. The good side about this method is its capability in spectral and non-spectral data combination. ANN does not require normal distribution of spectral training samples. This algorithm is also able to overcome the problem of mix pixels. The objectives of this study are : ( 1 ) To find out how accurate the ANN method and the non-spectral data for landuse identification [Yogyakarta] : Universitas Gadjah Mada 2013 Thesis NonPeerReviewed , Didit Wahyudi and , Drs. Projo Danoedoro, MSc, PhD (2013) KAJIAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ASTER VNIR DAN SWIR UNTUK KLASIFIKASI PENUTUP DAN PENGGUNAAN LAHAN DI KECAMATAN KATINGAN TENGAH, KABUPATEN KATINGAN, PROVINSI KALIMANTAN TENGAH. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=63770 |
| spellingShingle | ETD , Didit Wahyudi , Drs. Projo Danoedoro, MSc, PhD KAJIAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ASTER VNIR DAN SWIR UNTUK KLASIFIKASI PENUTUP DAN PENGGUNAAN LAHAN DI KECAMATAN KATINGAN TENGAH, KABUPATEN KATINGAN, PROVINSI KALIMANTAN TENGAH |
| title | KAJIAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ASTER VNIR
DAN SWIR UNTUK KLASIFIKASI PENUTUP DAN PENGGUNAAN
LAHAN DI KECAMATAN KATINGAN TENGAH, KABUPATEN
KATINGAN, PROVINSI KALIMANTAN TENGAH |
| title_full | KAJIAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ASTER VNIR
DAN SWIR UNTUK KLASIFIKASI PENUTUP DAN PENGGUNAAN
LAHAN DI KECAMATAN KATINGAN TENGAH, KABUPATEN
KATINGAN, PROVINSI KALIMANTAN TENGAH |
| title_fullStr | KAJIAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ASTER VNIR
DAN SWIR UNTUK KLASIFIKASI PENUTUP DAN PENGGUNAAN
LAHAN DI KECAMATAN KATINGAN TENGAH, KABUPATEN
KATINGAN, PROVINSI KALIMANTAN TENGAH |
| title_full_unstemmed | KAJIAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ASTER VNIR
DAN SWIR UNTUK KLASIFIKASI PENUTUP DAN PENGGUNAAN
LAHAN DI KECAMATAN KATINGAN TENGAH, KABUPATEN
KATINGAN, PROVINSI KALIMANTAN TENGAH |
| title_short | KAJIAN JARINGAN SYARAF TIRUAN BERBASIS CITRA ASTER VNIR
DAN SWIR UNTUK KLASIFIKASI PENUTUP DAN PENGGUNAAN
LAHAN DI KECAMATAN KATINGAN TENGAH, KABUPATEN
KATINGAN, PROVINSI KALIMANTAN TENGAH |
| title_sort | kajian jaringan syaraf tiruan berbasis citra aster vnir dan swir untuk klasifikasi penutup dan penggunaan lahan di kecamatan katingan tengah kabupaten katingan provinsi kalimantan tengah |
| topic | ETD |
| work_keys_str_mv | AT diditwahyudi kajianjaringansyaraftiruanberbasiscitraastervnirdanswiruntukklasifikasipenutupdanpenggunaanlahandikecamatankatingantengahkabupatenkatinganprovinsikalimantantengah AT drsprojodanoedoromscphd kajianjaringansyaraftiruanberbasiscitraastervnirdanswiruntukklasifikasipenutupdanpenggunaanlahandikecamatankatingantengahkabupatenkatinganprovinsikalimantantengah |