Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai–Tibetan Plateau Grassland
Land surface phenology (LSP), a sensitive indicator of ecosystem reactions to climatic changes, plays a crucial role in exchanging materials between terrestrial ecosystems and the atmosphere. Previous studies have utilized various satellite datasets to investigate LSP. However, the phenological scal...
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IEEE
2025-01-01
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| Loạt: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Truy cập trực tuyến: | https://ieeexplore.ieee.org/document/11038931/ |
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| _version_ | 1839638875599798272 |
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| author | Wenjiao Mao Zhongxi Ge Yuhan Chen Bo-Hui Tang Zhen Zhang Liang Huang Dong Fan Xinming Zhu Junyi Chen Yanda Qu Jingting Wang Feng Tang |
| author_facet | Wenjiao Mao Zhongxi Ge Yuhan Chen Bo-Hui Tang Zhen Zhang Liang Huang Dong Fan Xinming Zhu Junyi Chen Yanda Qu Jingting Wang Feng Tang |
| author_sort | Wenjiao Mao |
| collection | DOAJ |
| description | Land surface phenology (LSP), a sensitive indicator of ecosystem reactions to climatic changes, plays a crucial role in exchanging materials between terrestrial ecosystems and the atmosphere. Previous studies have utilized various satellite datasets to investigate LSP. However, the phenological scaling effects across different spatial resolutions have not been comprehensively addressed and thoroughly researched. Therefore, we employed two methods (the average and percentile approaches) to aggregate the LSP of the Qinghai-Tibetan Plateau (QTP) grassland at 250 m resolution to 8 km and ecoregion division scales. Based on this, we analyzed the scaling effects of LSP in the QTP grassland. In addition, this study systematically analyzed factors that would influence the scaling effects. The findings showed that (1) the average absolute difference (AAD) for LSP (250 m) and LSP (8 km, division scale) obtained by the two methods was close. In most areas in the QTP grassland, the percentile approach generated AAD values smaller than the average approach. For pixel and division scales, the optimal aggregation percentile usually ranged from the 40th to 50th percentile instead of a single value; (2) whether in pixel or division scales, the AAD values of start of growing season were larger than those of end of growing season; (3) we also found that the terrain complexity exhibited the most significant influence on scaling effects; followed by altitude, vegetation growth/senescence speed and vegetation coverage; terrain slope and aspect had relatively little impact. The findings of this research helped enhance the understanding of the phenology scaling effects of grassland on the QTP. |
| format | Article |
| id | doaj-art-18567d2f6d8a4250bf2a1eeb6de0c130 |
| institution | Matheson Library |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-18567d2f6d8a4250bf2a1eeb6de0c1302025-07-04T23:00:06ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118158631587510.1109/JSTARS.2025.358057211038931Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai–Tibetan Plateau GrasslandWenjiao Mao0Zhongxi Ge1https://orcid.org/0009-0003-7219-5791Yuhan Chen2Bo-Hui Tang3https://orcid.org/0000-0002-1918-5346Zhen Zhang4https://orcid.org/0000-0002-2300-7112Liang Huang5https://orcid.org/0000-0001-6667-759XDong Fan6https://orcid.org/0000-0002-4604-176XXinming Zhu7https://orcid.org/0000-0002-9256-5644Junyi Chen8https://orcid.org/0000-0001-8428-9259Yanda Qu9Jingting Wang10Feng Tang11Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, ChinaLand surface phenology (LSP), a sensitive indicator of ecosystem reactions to climatic changes, plays a crucial role in exchanging materials between terrestrial ecosystems and the atmosphere. Previous studies have utilized various satellite datasets to investigate LSP. However, the phenological scaling effects across different spatial resolutions have not been comprehensively addressed and thoroughly researched. Therefore, we employed two methods (the average and percentile approaches) to aggregate the LSP of the Qinghai-Tibetan Plateau (QTP) grassland at 250 m resolution to 8 km and ecoregion division scales. Based on this, we analyzed the scaling effects of LSP in the QTP grassland. In addition, this study systematically analyzed factors that would influence the scaling effects. The findings showed that (1) the average absolute difference (AAD) for LSP (250 m) and LSP (8 km, division scale) obtained by the two methods was close. In most areas in the QTP grassland, the percentile approach generated AAD values smaller than the average approach. For pixel and division scales, the optimal aggregation percentile usually ranged from the 40th to 50th percentile instead of a single value; (2) whether in pixel or division scales, the AAD values of start of growing season were larger than those of end of growing season; (3) we also found that the terrain complexity exhibited the most significant influence on scaling effects; followed by altitude, vegetation growth/senescence speed and vegetation coverage; terrain slope and aspect had relatively little impact. The findings of this research helped enhance the understanding of the phenology scaling effects of grassland on the QTP.https://ieeexplore.ieee.org/document/11038931/Aggregation methodsinfluence factorsscaling effectsvegetation phenology |
| spellingShingle | Wenjiao Mao Zhongxi Ge Yuhan Chen Bo-Hui Tang Zhen Zhang Liang Huang Dong Fan Xinming Zhu Junyi Chen Yanda Qu Jingting Wang Feng Tang Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai–Tibetan Plateau Grassland IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Aggregation methods influence factors scaling effects vegetation phenology |
| title | Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai–Tibetan Plateau Grassland |
| title_full | Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai–Tibetan Plateau Grassland |
| title_fullStr | Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai–Tibetan Plateau Grassland |
| title_full_unstemmed | Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai–Tibetan Plateau Grassland |
| title_short | Exploration of Spatial Scaling Effects on Remote Sensing Phenology in the Qinghai–Tibetan Plateau Grassland |
| title_sort | exploration of spatial scaling effects on remote sensing phenology in the qinghai x2013 tibetan plateau grassland |
| topic | Aggregation methods influence factors scaling effects vegetation phenology |
| url | https://ieeexplore.ieee.org/document/11038931/ |
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