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Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China

Forum Geografi · Vol. 34 No. 1 (2020) · hlm. 1–15

DOI
10.23917/forgeo.v34i1.10862
ISSN
2460-3945, 0852-0682
Terbit
2020-05-27
Penerbit
Universitas Muhammadiyah Surakarta
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc-nd/4.0

Abstrak

Coronavirus disease (COVID-19) was firstly identified in Wuhan, China. By 23rd January 2020, China’s Government made a decision to execute lockdown policy in Wuhan due to the rapid transmission of COVID-19. It is essential to investigate the land surface temperature (LST) dynamics due to changes in level of anthropogenic activities. Therefore, this study aims (1) to investigate mean LST differences between during, i.e., December 2019 to early March 2020, and before the emergence of COVID-19 in Wuhan; (2) to conduct spatio-temporal analysis of mean LST with regards to lockdown policy; and (3) to examine mean LST differences for each land cover type. MODIS data consist of MOD11A2 and MCD12Q1 were employed. The results showed that during the emergence of COVID-19 with lockdown policy applied, the mean LST was lower than the mean LST of the past three years on the same dates. Whereas, during the emergence of COVID-19 without lockdown policy applied, the mean LST was relatively higher than the mean LST of the past three years. In addition, the mean LST of built-up areas experienced the most significant differences between during the emergence of COVID-19 with lockdown policy applied in comparison to the average of the past three years.

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  • Muhammadiyah University of Surakarta
  • University of Brawijaya
  • Sunan Kalijaga State Islamic University Yogyakarta
  • National Research and Innovation Agency
  • State University of Malang
  • Sumatera Institute of Technology
  • National University of Singapore
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Rekan penulisOrganisasiArtikel bersama
Riawati RahayuSunan Kalijaga State Islamic University Yogyakarta1
Retno Aliyatul FikrohSunan Kalijaga State Islamic University Yogyakarta1
Pandu RidzaniyantoAfiliasi tidak diketahui1
Efri RoziatyMuhammadiyah University of Surakarta1
Jumadi JumadiMuhammadiyah University of Surakarta1
‪Kuswaji Dwi PriyonoMuhammadiyah University of Surakarta1
Arif RohmanSumatera Institute of Technology1
Aynaz LotfataUniversity of California, Davis1
Choirul AminMuhammadiyah University of Surakarta1
Danardono DanardonoMuhammadiyah University of Surakarta1
Heni MasrurohState University of Malang1
Vidya Nahdhiyatul FikriyahMuhammadiyah University of Surakarta1
Muhammad NawazNational University of Singapore1
Farha SattarCharles Darwin University1
Muhammad Tanzil FurqonUniversity of Brawijaya1
Febriyani Eka SupriatinUniversity of Brawijaya1
Muammar KadhafiKunsan National University1
Riqki Yoga AprilliantoAfiliasi tidak diketahui1
Ryke NandiniNational Research and Innovation Agency1
Galdita Aruba ChulafakIndonesian National Institute of Aeronautics and Space1
Muhammad Iqbal Taufiqurrahman SunariyaMuhammadiyah University of Surakarta1
Firda Maftukhakh Hilmya NadaNational Research and Innovation Agency1
Ilyas Ayub ArisenoMuhammadiyah University of Surakarta1
Rahma 'Afifah Nur FaridahNational Research and Innovation Agency1

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Sumber metadata: OAI-PMH (metadata jurnal) http://journals.ums.ac.id/index.php/fg/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-US">Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China</dc:title>
	<dc:creator>Hadibasyir, Hamim Zaky</dc:creator>
	<dc:creator>Rijal, Seftiawan Samsu</dc:creator>
	<dc:creator>Sari, Dewi Ratna</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">urban climate; Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2); Wuhan’s lockdown; anthropogenic activities; remote sensing</dc:subject>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:description xml:lang="en-US">Coronavirus disease (COVID-19) was firstly identified in Wuhan, China. By 23rd January 2020, China’s Government made a decision to execute lockdown policy in Wuhan due to the rapid transmission of COVID-19. It is essential to investigate the land surface temperature (LST) dynamics due to changes in level of anthropogenic activities. Therefore, this study aims (1) to investigate mean LST differences between during, i.e., December 2019 to early March 2020, and before the emergence of COVID-19 in Wuhan; (2) to conduct spatio-temporal analysis of mean LST with regards to lockdown policy; and (3) to examine mean LST differences for each land cover type. MODIS data consist of MOD11A2 and MCD12Q1 were employed. The results showed that during the emergence of COVID-19 with lockdown policy applied, the mean LST was lower than the mean LST of the past three years on the same dates. Whereas, during the emergence of COVID-19 without lockdown policy applied, the mean LST was relatively higher than the mean LST of the past three years. In addition, the mean LST of built-up areas experienced the most significant differences between during the emergence of COVID-19 with lockdown policy applied in comparison to the average of the past three years.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Muhammadiyah Surakarta</dc:publisher>
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	<dc:date>2020-05-27</dc:date>
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	<dc:identifier>https://journals.ums.ac.id/index.php/fg/article/view/10862</dc:identifier>
	<dc:identifier>10.23917/forgeo.v34i1.10862</dc:identifier>
	<dc:source xml:lang="en-US">Forum Geografi; Vol 34, No 1 (2020): July 2020; 1 - 15</dc:source>
	<dc:source>2460-3945</dc:source>
	<dc:source>0852-0682</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/view/10862/5660</dc:relation>
	<dc:relation>https://journals.ums.ac.id/index.php/fg/article/view/10862/6067</dc:relation>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 Hamim Zaky Hadibasyir, Seftiawan Samsu Rijal, Dewi Ratna Sari</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights>
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