A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform
Spatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to use gap-filled remote sensing products with time series reconstruction (TSR) algorithms. Applying currently available im...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2023.2192004 |
| _version_ | 1827811116625952768 |
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| author | Jie Zhou Massimo Menenti Li Jia Bo Gao Feng Zhao Yilin Cui Xuqian Xiong Xuan Liu Dengchao Li |
| author_facet | Jie Zhou Massimo Menenti Li Jia Bo Gao Feng Zhao Yilin Cui Xuqian Xiong Xuan Liu Dengchao Li |
| author_sort | Jie Zhou |
| collection | DOAJ |
| description | Spatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to use gap-filled remote sensing products with time series reconstruction (TSR) algorithms. Applying currently available implementations of TSR to large-volume datasets is time-consuming and challenging for non-professional users with limited computation or storage resources. This study introduces a new open-source software package entitled ‘HANTS-GEE’ that implements a well-known and robust TSR algorithm, i.e. Harmonic ANalysis of Time Series (HANTS), on the Google Earth Engine (GEE) platform for scalable reconstruction of terrestrial earth observation data. Reconstruction tasks can be conducted on user-defined spatiotemporal extents when raw datasets are available on GEE. According to site-based and regional-based case evaluation, the new tool can effectively eliminate cloud contamination in the time series of earth observation data. Compared with traditional PC-based HANTS implementation, the HANTS-GEE provides quite consistent reconstruction results for most terrestrial vegetated sites. The HANTS-GEE can provide scalable reconstruction services with accelerated processing speed and reduced internet data transmission volume, promoting algorithm usage by much broader user communities. To our knowledge, the software package is the first tool to support full-stack TSR processing for popular open-access satellite sensors on cloud platforms. |
| first_indexed | 2024-03-11T23:00:36Z |
| format | Article |
| id | doaj.art-856a16f5a8eb4f79860ebcc0e7fbf104 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:00:36Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-856a16f5a8eb4f79860ebcc0e7fbf1042023-09-21T14:57:12ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552023-12-01161988100710.1080/17538947.2023.21920042192004A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platformJie Zhou0Massimo Menenti1Li Jia2Bo Gao3Feng Zhao4Yilin Cui5Xuqian Xiong6Xuan Liu7Dengchao Li8Central China Normal UniversityChinese Academy of SciencesChinese Academy of SciencesCapital Normal UniversityCentral China Normal UniversityCentral China Normal UniversityCentral China Normal UniversityCentral China Normal UniversityThe First Geological brigade of Hubei Geological BureauSpatiotemporal residual noise in terrestrial earth observation products, often caused by unfavorable atmospheric conditions, impedes their broad applications. Most users prefer to use gap-filled remote sensing products with time series reconstruction (TSR) algorithms. Applying currently available implementations of TSR to large-volume datasets is time-consuming and challenging for non-professional users with limited computation or storage resources. This study introduces a new open-source software package entitled ‘HANTS-GEE’ that implements a well-known and robust TSR algorithm, i.e. Harmonic ANalysis of Time Series (HANTS), on the Google Earth Engine (GEE) platform for scalable reconstruction of terrestrial earth observation data. Reconstruction tasks can be conducted on user-defined spatiotemporal extents when raw datasets are available on GEE. According to site-based and regional-based case evaluation, the new tool can effectively eliminate cloud contamination in the time series of earth observation data. Compared with traditional PC-based HANTS implementation, the HANTS-GEE provides quite consistent reconstruction results for most terrestrial vegetated sites. The HANTS-GEE can provide scalable reconstruction services with accelerated processing speed and reduced internet data transmission volume, promoting algorithm usage by much broader user communities. To our knowledge, the software package is the first tool to support full-stack TSR processing for popular open-access satellite sensors on cloud platforms.http://dx.doi.org/10.1080/17538947.2023.2192004time series reconstructionremote sensinggoogle earth enginehantsgap-filling |
| spellingShingle | Jie Zhou Massimo Menenti Li Jia Bo Gao Feng Zhao Yilin Cui Xuqian Xiong Xuan Liu Dengchao Li A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform International Journal of Digital Earth time series reconstruction remote sensing google earth engine hants gap-filling |
| title | A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform |
| title_full | A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform |
| title_fullStr | A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform |
| title_full_unstemmed | A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform |
| title_short | A scalable software package for time series reconstruction of remote sensing datasets on the Google Earth Engine platform |
| title_sort | scalable software package for time series reconstruction of remote sensing datasets on the google earth engine platform |
| topic | time series reconstruction remote sensing google earth engine hants gap-filling |
| url | http://dx.doi.org/10.1080/17538947.2023.2192004 |
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