Remote Sensing Technology and Application, Volume. 39, Issue 5, 1205(2024)

Phenological Changes of Herbaceous Vegetation in Marsh Wetland based on Multiple Methods

Bowen TAN, Yuanqi SHAN, Xiaopeng TAN, and Yunlong YAO
Author Affiliations
  • College of Wildlife and Nature Reserves, Northeast Forestry University, Harbin150000,China
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    Vegetation phenology extraction methods and phenological trend monitoring are the key links to accurately reflect the growth status of vegetation. Based on the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) products of Medium Spatial Resolution Imaging Spectroscopy (MODIS), 12 phenological parameters of herbaceous plants in typical swamp wetlands in the Sanjiang Plain were extracted. Mann-Kendall mutation test, Mann-Kendall trend test, analysis of variance and other methods were used to explore the differences in phenological extraction values and their change characteristics and trends of different genera of swamp plants, and revealed the differences between land surface phenology and phenological observations. The results showed that: (1) The Gu method was the most suitable method for fitting plant phenological curves in Sanjiang swamp wetland, and the ground phenological parameters extracted from EVI data were better than those of NDVI data. (2) The TRS1 method was more accurate in extracting the spring phenological parameters (Start Of Season) (SOS), and the Klosterman method was more accurate in extracting the autumn phenological parameters (End of Season) (EOS). (3) Under the optimal method, the advance trend of SOS was 0.63 Day/Year, and the advance trend of EOS was 0.49 Day/Year. The results of this study can provide reference for the conservation of wetland vegetation in the Sanjiang Plain and the adaptation to future climate change.

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    Bowen TAN, Yuanqi SHAN, Xiaopeng TAN, Yunlong YAO. Phenological Changes of Herbaceous Vegetation in Marsh Wetland based on Multiple Methods[J]. Remote Sensing Technology and Application, 2024, 39(5): 1205

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    Paper Information

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    Received: Jan. 4, 2023

    Accepted: --

    Published Online: Jan. 7, 2025

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    DOI:10.11873/j.issn.1004-0323.2024.5.1205

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