Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products
The Moderate Resolution Imaging Spectroradiometer (MODIS) is widely utilized for retrieving land surface reflectance to reflect plant conditions, detect ecosystem phenology, monitor forest fires, and constrain terrestrial energy budgets. However, the state-of-the-art MODIS surface reflectance produc...
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ftdoajarticles:oai:doaj.org/article:fcf22e28f2ec4f90afcb9e92f347fc41 2024-02-11T10:08:08+01:00 Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products X. Liang Q. Liu J. Wang S. Chen P. Gong 2024-01-01T00:00:00Z https://doi.org/10.5194/essd-16-177-2024 https://doaj.org/article/fcf22e28f2ec4f90afcb9e92f347fc41 EN eng Copernicus Publications https://essd.copernicus.org/articles/16/177/2024/essd-16-177-2024.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-16-177-2024 1866-3508 1866-3516 https://doaj.org/article/fcf22e28f2ec4f90afcb9e92f347fc41 Earth System Science Data, Vol 16, Pp 177-200 (2024) Environmental sciences GE1-350 Geology QE1-996.5 article 2024 ftdoajarticles https://doi.org/10.5194/essd-16-177-2024 2024-01-14T01:39:34Z The Moderate Resolution Imaging Spectroradiometer (MODIS) is widely utilized for retrieving land surface reflectance to reflect plant conditions, detect ecosystem phenology, monitor forest fires, and constrain terrestrial energy budgets. However, the state-of-the-art MODIS surface reflectance products suffer from temporal and spatial gaps due to atmospheric conditions (e.g. clouds and aerosols), limiting their use in ecological, agricultural, and environmental studies. Therefore, there is a need for reconstructing spatiotemporally seamless (i.e. gap-filled) surface reflectance data from MODIS products, which is difficult due to the intrinsic inconsistency of observations resulting from various sun/view geometry and the prolonged missing values resulting from polar night or heavy cloud coverage, especially in monsoon season. We built a framework for generating the global 500 m daily seamless data cubes (SDC500) based on MODIS surface reflectance dataset, which contains the generation of a land-cover-based a priori database, bidirectional reflectance distribution function (BRDF) correction, outlier detection, gap filling, and smoothing. The first global spatiotemporally seamless land surface reflectance at 500 m resolution was produced, covering the period from 2000 to 2022. Preliminary evaluation of the dataset at 12 sites worldwide with different land cover demonstrated its robust performance. The quantitative assessment shows that the SDC500 gap-filling results have a root-mean-square error (RMSE) of 0.0496 and a mean absolute error (MAE) of 0.0430. The SDC500 BRDF correction results showed an RMSE of 0.056 and a bias of − 0.0085 when compared with MODIS nadir BRDF-adjusted reflectance (NBAR) products, indicating the acceptable accuracy of both products. From a temporal perspective, the SDC500 eliminates abnormal fluctuations while retaining the useful localized feature of rapid disturbances. From a spatial perspective, the SDC500 shows satisfactory spatial continuity. In conclusion, the SDC500 is a ... Article in Journal/Newspaper polar night Directory of Open Access Journals: DOAJ Articles Earth System Science Data 16 1 177 200 |
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Directory of Open Access Journals: DOAJ Articles |
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topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
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Environmental sciences GE1-350 Geology QE1-996.5 X. Liang Q. Liu J. Wang S. Chen P. Gong Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
The Moderate Resolution Imaging Spectroradiometer (MODIS) is widely utilized for retrieving land surface reflectance to reflect plant conditions, detect ecosystem phenology, monitor forest fires, and constrain terrestrial energy budgets. However, the state-of-the-art MODIS surface reflectance products suffer from temporal and spatial gaps due to atmospheric conditions (e.g. clouds and aerosols), limiting their use in ecological, agricultural, and environmental studies. Therefore, there is a need for reconstructing spatiotemporally seamless (i.e. gap-filled) surface reflectance data from MODIS products, which is difficult due to the intrinsic inconsistency of observations resulting from various sun/view geometry and the prolonged missing values resulting from polar night or heavy cloud coverage, especially in monsoon season. We built a framework for generating the global 500 m daily seamless data cubes (SDC500) based on MODIS surface reflectance dataset, which contains the generation of a land-cover-based a priori database, bidirectional reflectance distribution function (BRDF) correction, outlier detection, gap filling, and smoothing. The first global spatiotemporally seamless land surface reflectance at 500 m resolution was produced, covering the period from 2000 to 2022. Preliminary evaluation of the dataset at 12 sites worldwide with different land cover demonstrated its robust performance. The quantitative assessment shows that the SDC500 gap-filling results have a root-mean-square error (RMSE) of 0.0496 and a mean absolute error (MAE) of 0.0430. The SDC500 BRDF correction results showed an RMSE of 0.056 and a bias of − 0.0085 when compared with MODIS nadir BRDF-adjusted reflectance (NBAR) products, indicating the acceptable accuracy of both products. From a temporal perspective, the SDC500 eliminates abnormal fluctuations while retaining the useful localized feature of rapid disturbances. From a spatial perspective, the SDC500 shows satisfactory spatial continuity. In conclusion, the SDC500 is a ... |
format |
Article in Journal/Newspaper |
author |
X. Liang Q. Liu J. Wang S. Chen P. Gong |
author_facet |
X. Liang Q. Liu J. Wang S. Chen P. Gong |
author_sort |
X. Liang |
title |
Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products |
title_short |
Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products |
title_full |
Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products |
title_fullStr |
Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products |
title_full_unstemmed |
Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products |
title_sort |
global 500 m seamless dataset (2000–2022) of land surface reflectance generated from modis products |
publisher |
Copernicus Publications |
publishDate |
2024 |
url |
https://doi.org/10.5194/essd-16-177-2024 https://doaj.org/article/fcf22e28f2ec4f90afcb9e92f347fc41 |
genre |
polar night |
genre_facet |
polar night |
op_source |
Earth System Science Data, Vol 16, Pp 177-200 (2024) |
op_relation |
https://essd.copernicus.org/articles/16/177/2024/essd-16-177-2024.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-16-177-2024 1866-3508 1866-3516 https://doaj.org/article/fcf22e28f2ec4f90afcb9e92f347fc41 |
op_doi |
https://doi.org/10.5194/essd-16-177-2024 |
container_title |
Earth System Science Data |
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16 |
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container_start_page |
177 |
op_container_end_page |
200 |
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