Air Surface Temperature Estimation Using MODIS Land Surface Temperature Data in Northwest Vietnam
There is increasing demand for air surface temperature (Ta) data that can capture information for a large area or for a region, since this kind of data is an important parameter for a wide range of applications. However, due to the sparse distribution of meteorological stations, especially in develo...
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ftsubgoettdiss:oai:ediss.uni-goettingen.de:21.11130/00-1735-0000-0003-C17B-9 2023-09-05T13:17:44+02:00 Air Surface Temperature Estimation Using MODIS Land Surface Temperature Data in Northwest Vietnam Phan, Thanh Noi Kappas, Martin Prof. Dr. Gerold, Gerhard Prof. Dr. Dittrich, Christoph Prof. Dr. Faust, Heiko Prof. Dr. Sauer, Daniela Prof. Dr. 2019-07-26 http://hdl.handle.net/21.11130/00-1735-0000-0003-C17B-9 https://doi.org/10.53846/goediss-7574 https://nbn-resolving.org/urn:nbn:de:gbv:7-21.11130/00-1735-0000-0003-C17B-9-5 eng eng http://creativecommons.org/licenses/by-nc-nd/4.0/ http://hdl.handle.net/21.11130/00-1735-0000-0003-C17B-9 http://dx.doi.org/10.53846/goediss-7574 urn:nbn:de:gbv:7-21.11130/00-1735-0000-0003-C17B-9-5 1672306981 910 550 MODIS LST land surface temperature air surface temperature estimation Geographie (PPN621264008) cumulativeThesis 2019 ftsubgoettdiss https://doi.org/10.53846/goediss-7574 2023-08-18T08:31:20Z There is increasing demand for air surface temperature (Ta) data that can capture information for a large area or for a region, since this kind of data is an important parameter for a wide range of applications. However, due to the sparse distribution of meteorological stations, especially in developing countries and remote regions (e.g. mountainous areas, the Arctic, or tropical rainforests), the spatial coverage information of Ta is often limited. Fortunately, remote sensing satellites can provide land surface temperature (LST) data, which is considered one of the most important and useful data sources for Ta retrieval over a region or large area. Among various remote sensors that can provide LST data (e.g. the Advanced Very High Resolution Radiometer (AVHRR) sensor onboard NOAA satellites, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor onboard Terra satellites, Landsat (TM, ETM, and TIRS sensors) of Landsat satellites), the most popular and most often used is the LST from the MODerate Resolution Imaging Spectroradiometer (MODIS). AVHRR, ASTER, and Landsat each have their own limitations, since AVHRR lacks metadata files, ASTER is only available upon request and payment, and Landsat has a coarse temporal resolution of 16 days. Meanwhile two MODIS instruments, the first launched on 18 December 1999 and the second on 4 May 2002 aboard the Terra and Aqua platforms, respectively, are uniquely designed to provide free LST data with a moderate spatial resolution of about one kilometer and a very high temporal resolution (i.e. up to four global observations per day including daytime and nighttime data). Over the last two decades, MODIS LST data has successfully been used for Ta estimation in many regions, such as Europe, the United States, Canada, Africa, and the Tibetan Plateau. However in Vietnam, a developing country with very sparse meteorological stations, MODIS LST has rarely been applied to retrieve Ta. This research presents a comprehensive evaluation of the application of ... Other/Unknown Material Arctic Georg-August-Universität Göttingen: eDiss Arctic Canada |
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Open Polar |
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Georg-August-Universität Göttingen: eDiss |
op_collection_id |
ftsubgoettdiss |
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English |
topic |
910 550 MODIS LST land surface temperature air surface temperature estimation Geographie (PPN621264008) |
spellingShingle |
910 550 MODIS LST land surface temperature air surface temperature estimation Geographie (PPN621264008) Phan, Thanh Noi Air Surface Temperature Estimation Using MODIS Land Surface Temperature Data in Northwest Vietnam |
topic_facet |
910 550 MODIS LST land surface temperature air surface temperature estimation Geographie (PPN621264008) |
description |
There is increasing demand for air surface temperature (Ta) data that can capture information for a large area or for a region, since this kind of data is an important parameter for a wide range of applications. However, due to the sparse distribution of meteorological stations, especially in developing countries and remote regions (e.g. mountainous areas, the Arctic, or tropical rainforests), the spatial coverage information of Ta is often limited. Fortunately, remote sensing satellites can provide land surface temperature (LST) data, which is considered one of the most important and useful data sources for Ta retrieval over a region or large area. Among various remote sensors that can provide LST data (e.g. the Advanced Very High Resolution Radiometer (AVHRR) sensor onboard NOAA satellites, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor onboard Terra satellites, Landsat (TM, ETM, and TIRS sensors) of Landsat satellites), the most popular and most often used is the LST from the MODerate Resolution Imaging Spectroradiometer (MODIS). AVHRR, ASTER, and Landsat each have their own limitations, since AVHRR lacks metadata files, ASTER is only available upon request and payment, and Landsat has a coarse temporal resolution of 16 days. Meanwhile two MODIS instruments, the first launched on 18 December 1999 and the second on 4 May 2002 aboard the Terra and Aqua platforms, respectively, are uniquely designed to provide free LST data with a moderate spatial resolution of about one kilometer and a very high temporal resolution (i.e. up to four global observations per day including daytime and nighttime data). Over the last two decades, MODIS LST data has successfully been used for Ta estimation in many regions, such as Europe, the United States, Canada, Africa, and the Tibetan Plateau. However in Vietnam, a developing country with very sparse meteorological stations, MODIS LST has rarely been applied to retrieve Ta. This research presents a comprehensive evaluation of the application of ... |
author2 |
Kappas, Martin Prof. Dr. Gerold, Gerhard Prof. Dr. Dittrich, Christoph Prof. Dr. Faust, Heiko Prof. Dr. Sauer, Daniela Prof. Dr. |
format |
Other/Unknown Material |
author |
Phan, Thanh Noi |
author_facet |
Phan, Thanh Noi |
author_sort |
Phan, Thanh Noi |
title |
Air Surface Temperature Estimation Using MODIS Land Surface Temperature Data in Northwest Vietnam |
title_short |
Air Surface Temperature Estimation Using MODIS Land Surface Temperature Data in Northwest Vietnam |
title_full |
Air Surface Temperature Estimation Using MODIS Land Surface Temperature Data in Northwest Vietnam |
title_fullStr |
Air Surface Temperature Estimation Using MODIS Land Surface Temperature Data in Northwest Vietnam |
title_full_unstemmed |
Air Surface Temperature Estimation Using MODIS Land Surface Temperature Data in Northwest Vietnam |
title_sort |
air surface temperature estimation using modis land surface temperature data in northwest vietnam |
publishDate |
2019 |
url |
http://hdl.handle.net/21.11130/00-1735-0000-0003-C17B-9 https://doi.org/10.53846/goediss-7574 https://nbn-resolving.org/urn:nbn:de:gbv:7-21.11130/00-1735-0000-0003-C17B-9-5 |
geographic |
Arctic Canada |
geographic_facet |
Arctic Canada |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://creativecommons.org/licenses/by-nc-nd/4.0/ http://hdl.handle.net/21.11130/00-1735-0000-0003-C17B-9 http://dx.doi.org/10.53846/goediss-7574 urn:nbn:de:gbv:7-21.11130/00-1735-0000-0003-C17B-9-5 1672306981 |
op_doi |
https://doi.org/10.53846/goediss-7574 |
_version_ |
1776198797186039808 |