Mapping Phenology of Complicated Wetland Landscapes through Harmonizing Landsat and Sentinel-2 Imagery

Author:

Fan Chang1ORCID,Yang Jilin2,Zhao Guosong3ORCID,Dai Junhu2,Zhu Mengyao2,Dong Jinwei2ORCID,Liu Ruoqi1ORCID,Zhang Geli1ORCID

Affiliation:

1. College of Land Science and Technology, China Agricultural University, Beijing 100193, China

2. Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

3. School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China

Abstract

Wetlands are important CO2 sinks and methane sources, and their seasonality and phenological cycle play an essential role in understanding the carbon budget. However, given the spatial heterogeneity of wetland landscapes and the coarser spatial resolution of satellites, the phenological retrievals of wetlands are challenging. Here we examined the phenology of wetlands from 30 m harmonized Landsat/Sentinel-2 (LandSent30) and 500 m MODIS satellite observations using the ground phenology network PhenoCam as a benchmark. This study used all 11 available wetland PhenoCam sites (about 30 site years), covering diverse wetland types from different climate zones. We found that the LandSent30-based phenology results were in overall higher consistency with the PhenoCam results compared to MODIS, which could be related to the better explanation capacity of LandSent30 data in the heterogeneous landscapes of wetlands. This also means that the LandSent30 has an advantage over the 500 m MODIS regarding wetland vegetation phenological retrievals. It should be noted that the LandSent30 did not show a greatly improved performance, which could be related to the specificity and complexity of the wetlands landscape. We also illustrated the potential effects of the location and observation direction of PhenoCam cameras, the selection of Region of Interest (ROI), as well as the landscape composition of the site. Overall, this study highlights the complexity of wetland phenology from both ground and remote sensing observations at different scales, which paves the road for understanding the role of wetlands in global climate change and provides a basis for understanding the real phenological changes of wetland surfaces.

Funder

National Key Research and Development Program of China

Strategic Priority Research Program

Chinese Academy of Sciences

National Natural Science Foundation of China

CAS Youth Interdisciplinary Team Project

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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