Local Air and Soil Temperature Modeling Using Himawari 8 Satellite Imagery

Himawari 8 satellite image, which was launched in October 2014 and began the operational in July 2015, serves to identify and track the phenomenon of rapid changes in weather. The purpose of this research was to determine the model of local air and soil temperatures using Himawari 8 satellite image....

Full description

Bibliographic Details
Main Authors: Adhia Azhar Fauzan, Komariah Komariah, Sumani Sumani, Dwi Priyo Ariyanto, Tuban Wiyoso
Format: Article
Language:English
Published: Sebelas Maret University 2018-12-01
Series:Sains Tanah: Journal of Soil Science and Agroclimatology
Subjects:
Online Access:https://jurnal.uns.ac.id/tanah/article/view/23020
_version_ 1828488195217555456
author Adhia Azhar Fauzan
Komariah Komariah
Sumani Sumani
Dwi Priyo Ariyanto
Tuban Wiyoso
author_facet Adhia Azhar Fauzan
Komariah Komariah
Sumani Sumani
Dwi Priyo Ariyanto
Tuban Wiyoso
author_sort Adhia Azhar Fauzan
collection DOAJ
description Himawari 8 satellite image, which was launched in October 2014 and began the operational in July 2015, serves to identify and track the phenomenon of rapid changes in weather. The purpose of this research was to determine the model of local air and soil temperatures using Himawari 8 satellite image. Local air and soil temperatures information was collected from the Climatology Station of Semarang district, Central Java, Indonesia. Interpretation of the Himawari 8 satellite image was performed, as well as the statistical tests of correlation and regression, according to the sun's pseudo motion. Pair correlation and regression analysis on satellite image with air temperature; and air temperature with soil temperature (bare and grass). The results showed the satellite imagery of Himawari 8 could predict the air and soil temperatures, especially bare soil. In specific, the accuracies were higher on soil temperature at 0 (surface) and 5 cm depth. But each period produced vary accuracy, due to many weather elements had may affect the air and soil temperatures.
first_indexed 2024-12-11T10:04:39Z
format Article
id doaj.art-ec2578a1445c4ff38a34f58bafd3ac46
institution Directory Open Access Journal
issn 1412-3606
2356-1424
language English
last_indexed 2024-12-11T10:04:39Z
publishDate 2018-12-01
publisher Sebelas Maret University
record_format Article
series Sains Tanah: Journal of Soil Science and Agroclimatology
spelling doaj.art-ec2578a1445c4ff38a34f58bafd3ac462022-12-22T01:12:00ZengSebelas Maret UniversitySains Tanah: Journal of Soil Science and Agroclimatology1412-36062356-14242018-12-0115212313310.15608/stjssa.v15i2.2302018092Local Air and Soil Temperature Modeling Using Himawari 8 Satellite ImageryAdhia Azhar Fauzan0Komariah Komariah1Sumani Sumani2Dwi Priyo Ariyanto3Tuban Wiyoso4Undergraduate Program of Soil Science Dept., Faculty of Agriculture, Sebelas Maret University, Address: Jl. Ir. Sutami No. 36A, Kentingan, Surakarta, 57126, INDONESIA, Phone/fax: +62-271-632477Department of Soil Science, Faculty of Agriculture, Sebelas Maret University, Address: Jl. Ir. Sutami No. 36A, Kentingan, Surakarta, 57126, INDONESIA, Phone/fax: +62-271-632477Department of Soil Science, Faculty of Agriculture, Sebelas Maret University, Address: Jl. Ir. Sutami No. 36A, Kentingan, Surakarta, 57126, INDONESIA, Phone/fax: +62-271-632477Department of Soil Science, Faculty of Agriculture, Sebelas Maret University, Address: Jl. Ir. Sutami No. 36A, Kentingan, Surakarta, 57126, INDONESIA, Phone/fax: +62-271-632477Indonesian Agency for Meteorology, Climatology, and Geophysics, Climatology Station of Semarang District, Jl. Siliwangi, Kalibanteng Kulon, Semarang Bar., Kota Semarang, Jawa Tengah 50145Himawari 8 satellite image, which was launched in October 2014 and began the operational in July 2015, serves to identify and track the phenomenon of rapid changes in weather. The purpose of this research was to determine the model of local air and soil temperatures using Himawari 8 satellite image. Local air and soil temperatures information was collected from the Climatology Station of Semarang district, Central Java, Indonesia. Interpretation of the Himawari 8 satellite image was performed, as well as the statistical tests of correlation and regression, according to the sun's pseudo motion. Pair correlation and regression analysis on satellite image with air temperature; and air temperature with soil temperature (bare and grass). The results showed the satellite imagery of Himawari 8 could predict the air and soil temperatures, especially bare soil. In specific, the accuracies were higher on soil temperature at 0 (surface) and 5 cm depth. But each period produced vary accuracy, due to many weather elements had may affect the air and soil temperatures.https://jurnal.uns.ac.id/tanah/article/view/23020Bare soilGrass soilClimatology Station of Semarang District
spellingShingle Adhia Azhar Fauzan
Komariah Komariah
Sumani Sumani
Dwi Priyo Ariyanto
Tuban Wiyoso
Local Air and Soil Temperature Modeling Using Himawari 8 Satellite Imagery
Sains Tanah: Journal of Soil Science and Agroclimatology
Bare soil
Grass soil
Climatology Station of Semarang District
title Local Air and Soil Temperature Modeling Using Himawari 8 Satellite Imagery
title_full Local Air and Soil Temperature Modeling Using Himawari 8 Satellite Imagery
title_fullStr Local Air and Soil Temperature Modeling Using Himawari 8 Satellite Imagery
title_full_unstemmed Local Air and Soil Temperature Modeling Using Himawari 8 Satellite Imagery
title_short Local Air and Soil Temperature Modeling Using Himawari 8 Satellite Imagery
title_sort local air and soil temperature modeling using himawari 8 satellite imagery
topic Bare soil
Grass soil
Climatology Station of Semarang District
url https://jurnal.uns.ac.id/tanah/article/view/23020
work_keys_str_mv AT adhiaazharfauzan localairandsoiltemperaturemodelingusinghimawari8satelliteimagery
AT komariahkomariah localairandsoiltemperaturemodelingusinghimawari8satelliteimagery
AT sumanisumani localairandsoiltemperaturemodelingusinghimawari8satelliteimagery
AT dwipriyoariyanto localairandsoiltemperaturemodelingusinghimawari8satelliteimagery
AT tubanwiyoso localairandsoiltemperaturemodelingusinghimawari8satelliteimagery