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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) · pp. 187–200

DOI
10.14710/geoplanning.4.2.187-200
ISSN
2355-6544
Published
2017-11-03
Publisher
Department of Urban and Regional Planning, Diponegoro University
Language
eng
License
creativecommons.org/licenses/by-nc-sa/4.0

Abstract

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.

Keywords

Collaboration network of the authors

40 authors · 97 co-authorship links · 10 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Gadjah Mada
  • Indonesian National Institute of Aeronautics and Space
  • Diponegoro University
  • Hokkaido University
  • University of Indonesia
  • Lambung Mangkurat University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Hartono HartonoAffiliation unknown5
Totok GunawanAffiliation unknown4
Bambang SulistyoAffiliation unknown3
Muhammad KamalAffiliation unknown3
Prima WidayaniAffiliation unknown3
Ratih Dewanti DimyatiUniversitas Gadjah Mada2
Kustiyo KustiyoIndonesian National Institute of Aeronautics and Space2
Iswari Nur HidayatiAffiliation unknown2
R SuharyadiAffiliation unknown2
Pramaditya WicaksonoAffiliation unknown2
Hartono HartonoDiponegoro University1
Deha Agus UmarhadiHokkaido University1
Rochmat MartantoAffiliation unknown1
Nursida ArifAffiliation unknown1
Muhammad Sufwandika WijayaAffiliation unknown1
Novi Susetyo AdiAffiliation unknown1
. HartonoAffiliation unknown1
Uji Astrono PribadiAffiliation unknown1
Gilang Aria SetaAffiliation unknown1
Sugeng Juwono MardihusodoAffiliation unknown1
Muhammad DimyatiUniversity of Indonesia1
Syamani D. AliLambung Mangkurat University1
Candra Sari Djati KartikaAffiliation unknown1
Irvan Nurrahman AnandaAffiliation unknown1
Assyria F UmelaAffiliation unknown1
Alvidita Beatrix IndayaniAffiliation unknown1
Intan LestariAffiliation unknown1
Abimanyu Putra PratamaAffiliation unknown1
Diwyacitta Dirda GupitaAffiliation unknown1
Muhammad Zayyanul AfwaniAffiliation unknown1
Haeydar Anggara HadiAffiliation unknown1
William Krista MahendraAffiliation unknown1
Ghefra Rizkan GaffaraAffiliation unknown1
Dayu Ariesta Kirana SariAffiliation unknown1
Ade AriantoAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://ejournal.undip.ac.id/index.php/geoplanning/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<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>
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