Melola Discovery

← Melola Discovery

Akses terbuka Jurnal SINTA 1

LAND-SOIL CHARACTERISTICS FOR MAPPING PADDY CROPPING INTENSITY USING DECISION TREE ANALYSIS FROM SINGLE DATE ALI IMAGERY IN MAGELANG, CENTRAL JAVA, INDONESIA

Geoplanning: Journal of Geomatics and Planning · Vol. 4 No. 2 (2017) · hlm. 187–200

DOI
10.14710/geoplanning.4.2.187-200
ISSN
2355-6544
Terbit
2017-11-03
Penerbit
Department of Urban and Regional Planning, Diponegoro University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

Paddy field area and its cropping intensity are main information used to measure the crop production and the response of crop to changing climate conditions. Remote sensing technology has been used widely to map cropping pattern of paddy mostly using spectral analysis of multi temporal multispectral data of remote sensing. However, the cropping intensity of paddy was also influenced by the characteristics of planted land to paddy field which defines the level of land suitability for planting paddy. This research aimed to map paddy rotation by using single date ALI imagery by assessing the land and soil characteristics based on the land suitability parameters for planting paddy. Soil characteristics such as texture, acidity level, P205 (phosphor) and C-organic level collected from field work and terrain characteristics such as landform, surface water, and drainage density from visual delineation of SRTM 90 m was collected as inputs for the decision tree analysis to map the repetition of paddy planting throughout the year. The results showed the overall accuracy of 85% ± 8% (95 % level of confidence) for the final paddy rotation map where 2-times paddy per year was mostly found in the study area.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 96 tautan kepenulisan bersama · 36 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Gadjah Mada
  • Universitas Esa Unggul
  • University of Bengkulu
  • National Research and Innovation Agency
  • Indonesian National Institute of Aeronautics and Space
  • Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Hokkaido University
  • Organisasi lain
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Hartono HartonoUniversitas Gadjah Mada5
Totok GunawanUniversitas Gadjah Mada4
Bambang SulistyoUniversity of Bengkulu3
Muhammad KamalUniversitas Gadjah Mada3
Prima WidayaniUniversitas Gadjah Mada3
Ratih Dewanti DimyatiNational Research and Innovation Agency2
Kustiyo KustiyoIndonesian National Institute of Aeronautics and Space2
Iswari Nur HidayatiUniversitas Gadjah Mada2
R. SuharyadiUniversitas Gadjah Mada2
Pramaditya WicaksonoUniversitas Gadjah Mada2
Hartono HartonoUniversitas Islam Negeri Sultan Syarif Kasim Riau1
Deha Agus UmarhadiHokkaido University1
Rochmat MartantoUniversitas Gadjah Mada1
Nursida ArifUniversitas Muhammadiyah Gorontalo1
Muhammad Sufwandika WijayaUniversitas Gadjah Mada1
Novi Susetyo AdiMinistry of Marine Affairs and Fisheries1
. HartonoState University of Semarang1
Junun SartohadiUniversitas Gadjah Mada1
M. Pramono HadiUniversitas Gadjah Mada1
Saparis SoedarjantoAfiliasi tidak diketahui1
Uji Astrono PribadiCenter for International Forestry Research1
Gilang Aria SetaAfiliasi tidak diketahui1
Sugeng Juwono MardihusodoUniversitas Gadjah Mada1
Muhammad DimyatiUniversity of Indonesia1
Syamani D. AliLambung Mangkurat University1
Candra Sari Djati KartikaUniversitas Gadjah Mada1
Irvan Nurrahman AnandaUniversitas Gadjah Mada1
Assyria F. UmelaUniversitas Gadjah Mada1
Alvidita Beatrix IndayaniUniversitas Gadjah Mada1
Abimanyu Putra PratamaUniversitas Gadjah Mada1
Intan LestariUniversitas Gadjah Mada1
Diwyacitta Dirda GupitaNorwegian University of Science and Technology1
Muhammad Zayyanul AfwaniUniversitas Gadjah Mada1
Haeydar Anggara HadiUniversitas Gadjah Mada1
William Krista MahendraUniversitas Gadjah Mada1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ejournal.undip.ac.id/index.php/geoplanning/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">LAND-SOIL CHARACTERISTICS FOR MAPPING PADDY CROPPING INTENSITY USING DECISION TREE ANALYSIS FROM SINGLE DATE ALI IMAGERY IN MAGELANG, CENTRAL JAVA, INDONESIA</dc:title>
	<dc:creator>Arjasakusuma, Sanjiwana</dc:creator>
	<dc:creator>Danoedoro, Projo</dc:creator>
	<dc:creator>Herumurti, Sigit</dc:creator>
	<dc:creator>Nugroho, Yanuar Adji</dc:creator>
	<dc:creator>Aryaguna, Prama Ardha</dc:creator>
	<dc:subject xml:lang="en-US">Decision Tree; Cropping Intensity; Paddy Field; Land Characteristics</dc:subject>
	<dc:description xml:lang="en-US">Paddy field area and its cropping intensity are main information used to measure the crop production and the response of crop to changing climate conditions. Remote sensing technology has been used widely to map cropping pattern of paddy mostly using spectral analysis of multi temporal multispectral data of remote sensing. However, the cropping intensity of paddy was also influenced by the characteristics of planted land to paddy field which defines the level of land suitability for planting paddy.  This research aimed to map paddy rotation by using single date ALI imagery by assessing the land and soil characteristics based on the land suitability parameters for planting paddy.  Soil characteristics such as texture, acidity level, P205 (phosphor) and C-organic level collected from field work and terrain characteristics such as landform, surface water, and drainage density from visual delineation of SRTM 90 m was collected as inputs for the decision tree analysis to map the repetition of paddy planting throughout the year. The results showed the overall accuracy of 85% ± 8% (95 % level of confidence) for the final paddy rotation map where 2-times paddy per year was mostly found in the study area.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Urban and Regional Planning, Diponegoro University</dc:publisher>
	<dc:contributor xml:lang="en-US">Bappeda Magelang</dc:contributor>
	<dc:date>2017-11-03</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/12798</dc:identifier>
	<dc:identifier>10.14710/geoplanning.4.2.187-200</dc:identifier>
	<dc:source xml:lang="en-US">Geoplanning: Journal of Geomatics and Planning; Vol 4, No 2 (2017); 187-200</dc:source>
	<dc:source>2355-6544</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.undip.ac.id/index.php/geoplanning/article/view/12798/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Geoplanning: Journal of Geomatics and Planning</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>