Fusion of MODIS and landsat-8 surface temperature images: a new approach.
Here, our objective was to develop a spatio-temporal image fusion model (STI-FM) for enhancing temporal resolution of Landsat-8 land surface temperature (LST) images by fusing LST images acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS); and implement the developed algorithm over...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0117755 |
| _version_ | 1830443367351189504 |
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| author | Khaled Hazaymeh Quazi K Hassan |
| author_facet | Khaled Hazaymeh Quazi K Hassan |
| author_sort | Khaled Hazaymeh |
| collection | DOAJ |
| description | Here, our objective was to develop a spatio-temporal image fusion model (STI-FM) for enhancing temporal resolution of Landsat-8 land surface temperature (LST) images by fusing LST images acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS); and implement the developed algorithm over a heterogeneous semi-arid study area in Jordan, Middle East. The STI-FM technique consisted of two major components: (i) establishing a linear relationship between two consecutive MODIS 8-day composite LST images acquired at time 1 and time 2; and (ii) utilizing the above mentioned relationship as a function of a Landsat-8 LST image acquired at time 1 in order to predict a synthetic Landsat-8 LST image at time 2. It revealed that strong linear relationships (i.e., r2, slopes, and intercepts were in the range 0.93-0.94, 0.94-0.99; and 2.97-20.07) existed between the two consecutive MODIS LST images. We evaluated the synthetic LST images qualitatively and found high visual agreements with the actual Landsat-8 LST images. In addition, we conducted quantitative evaluations of these synthetic images; and found strong agreements with the actual Landsat-8 LST images. For example, r2, root mean square error (RMSE), and absolute average difference (AAD)-values were in the ranges 084-0.90, 0.061-0.080, and 0.003-0.004, respectively. |
| first_indexed | 2024-12-21T05:56:07Z |
| format | Article |
| id | doaj.art-b81e1ada1fce4c119bdb9185a07e0c92 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-21T05:56:07Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-b81e1ada1fce4c119bdb9185a07e0c922022-12-21T19:13:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01103e011775510.1371/journal.pone.0117755Fusion of MODIS and landsat-8 surface temperature images: a new approach.Khaled HazaymehQuazi K HassanHere, our objective was to develop a spatio-temporal image fusion model (STI-FM) for enhancing temporal resolution of Landsat-8 land surface temperature (LST) images by fusing LST images acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS); and implement the developed algorithm over a heterogeneous semi-arid study area in Jordan, Middle East. The STI-FM technique consisted of two major components: (i) establishing a linear relationship between two consecutive MODIS 8-day composite LST images acquired at time 1 and time 2; and (ii) utilizing the above mentioned relationship as a function of a Landsat-8 LST image acquired at time 1 in order to predict a synthetic Landsat-8 LST image at time 2. It revealed that strong linear relationships (i.e., r2, slopes, and intercepts were in the range 0.93-0.94, 0.94-0.99; and 2.97-20.07) existed between the two consecutive MODIS LST images. We evaluated the synthetic LST images qualitatively and found high visual agreements with the actual Landsat-8 LST images. In addition, we conducted quantitative evaluations of these synthetic images; and found strong agreements with the actual Landsat-8 LST images. For example, r2, root mean square error (RMSE), and absolute average difference (AAD)-values were in the ranges 084-0.90, 0.061-0.080, and 0.003-0.004, respectively.https://doi.org/10.1371/journal.pone.0117755 |
| spellingShingle | Khaled Hazaymeh Quazi K Hassan Fusion of MODIS and landsat-8 surface temperature images: a new approach. PLoS ONE |
| title | Fusion of MODIS and landsat-8 surface temperature images: a new approach. |
| title_full | Fusion of MODIS and landsat-8 surface temperature images: a new approach. |
| title_fullStr | Fusion of MODIS and landsat-8 surface temperature images: a new approach. |
| title_full_unstemmed | Fusion of MODIS and landsat-8 surface temperature images: a new approach. |
| title_short | Fusion of MODIS and landsat-8 surface temperature images: a new approach. |
| title_sort | fusion of modis and landsat 8 surface temperature images a new approach |
| url | https://doi.org/10.1371/journal.pone.0117755 |
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