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Soil Moisture Mapping at Paddy Field in Indramayu Residence Using Landsat 8 OLI/TIRS

HAYATI Journal of Biosciences · Vol. 27 No. 1 (2020)

DOI
10.4308/hjb.27.1.71
ISSN
2086-4094, 1978-3019
Terbit
2020-01-01
Penerbit
Bogor Agricultural University, Indonesia
Bahasa
eng

Abstrak

Drought monitoring is important for the paddy planting planning. Remote sensing is one tool can be used for it. Paddy field monitoring based on the soil moisture gives much knowledge related to the water content in the soil. Soil moisture analysis in this study is using Normalized Different Water Index (NDWI), Linear Soil Moisture (LSM), and Tasseled Cap. Soil moisture change could explain based on calculation results of NDWI, Linear Soil Moisture (LSM), and Tasseled Cap Transformation (TCT). Based on the results has explained that the driest year occurs in 2015 and June 2016 has a higher soil moisture. Comparison with the radar shows that the results of soil moisture analysis with Landsat was effective can be used with results relatively close to the radar results.

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  • Bandung Institute of Technology
  • National Research and Innovation Agency
  • Sumatera Institute of Technology
  • Lampung University
  • Udayana University
  • Indonesian National Institute of Aeronautics and Space
  • Andalas University
  • Organisasi lain
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Rekan penulisOrganisasiArtikel bersama
Suliantara SuliantaraNational Research and Innovation Agency12
Herru Lastiadi SetiawanNational Research and Innovation Agency9
Asep SaepulohBandung Institute of Technology8
Deni SuwardhiBandung Institute of Technology7
Sayidah SulmaIndonesian National Institute of Aeronautics and Space5
Adis JayatiNational Research and Innovation Agency5
Kurdianto KurdiantoNational Research and Innovation Agency5
Fenny Martha DwivanyBandung Institute of Technology4
Riantini VirtrianaBandung Institute of Technology4
Sukristiyanti SukristiyantiBandung Institute of Technology4
Bambang WidarsonoNational Research and Innovation Agency3
Soni DarmawanBandung Institute of Technology3
Dudung Muhally HakimBandung Institute of Technology3
I Wayan NuarsaUdayana University3
Shafarina Wahyu TrisyantiBandung Institute of Technology3
Ishak Hanafiah IsmullahBandung Institute of Technology3
I NyomanUdayana University2
Agus SutantoAndalas University2
Husna NugrahaprajaBandung Institute of Technology2
Mohamad RomliNational Research and Innovation Agency2
Diana DwiyanartiNational Research and Innovation Agency2
Anggun TridawatiBandung Institute of Technology2
Mamad SugandiLampung University2
Aqilla Fitdhea AnestaLampung University2
Laode M Golok JayaAfiliasi tidak diketahui1
Armi SusandiBandung Institute of Technology1
Katmoko Ari SambodoIndonesian National Institute of Aeronautics and Space1
Muhammad Ulin NuhaSumatera Institute of Technology1
Arif RohmanSumatera Institute of Technology1
Adam Irwansyah FauziSumatera Institute of Technology1
Nesya Hafiza ArdaniSumatera Institute of Technology1
Redho Surya PerdanaSumatera Institute of Technology1
Aynaz LotfataUniversity of California, Davis1
M. Angga Hadi PratamaAfiliasi tidak diketahui1
Hasan Adi NugrahaBandung Institute of Technology1

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Sumber metadata: OAI-PMH (metadata jurnal) http://journal.ipb.ac.id/index.php/hayati/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Soil Moisture Mapping at Paddy Field in Indramayu Residence Using Landsat 8 OLI/TIRS</dc:title>
	<dc:creator xml:lang="en">Ghazali, Mochamad Firman </dc:creator>
	<dc:creator xml:lang="en">Susantoro, Tri Muji </dc:creator>
	<dc:creator xml:lang="en">Wikantika, Ketut </dc:creator>
	<dc:creator xml:lang="en">Harto, Agung Budi </dc:creator>
	<dc:creator xml:lang="en">Nurtyawan, Rian </dc:creator>
	<dc:description xml:lang="en">Drought monitoring is important for the paddy planting planning. Remote sensing is one tool can be used for it. Paddy field monitoring based on the soil moisture gives much knowledge related to the water content in the soil. Soil moisture analysis in this study is using Normalized Different Water Index (NDWI), Linear Soil Moisture (LSM), and Tasseled Cap. Soil moisture change could explain based on calculation results of NDWI, Linear Soil Moisture (LSM), and Tasseled Cap Transformation (TCT). Based on the results has explained that the driest year occurs in 2015 and June 2016 has a higher soil moisture. Comparison with the radar shows that the results of soil moisture analysis with Landsat was effective can be used with results relatively close to the radar results.</dc:description>
	<dc:publisher xml:lang="en">Bogor Agricultural University, Indonesia</dc:publisher>
	<dc:date>2020-01-01</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>http://journal.ipb.ac.id/hayati/article/view/30312</dc:identifier>
	<dc:identifier>10.4308/hjb.27.1.71</dc:identifier>
	<dc:source xml:lang="en">HAYATI Journal of Biosciences; Vol. 27 No. 1 (2020): January 2020; 71</dc:source>
	<dc:source>2086-4094</dc:source>
	<dc:source>1978-3019</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>http://journal.ipb.ac.id/hayati/article/view/30312/19551</dc:relation>
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