Title
A Classification Of Tidal Flat Wetland Vegetation Combining Phenological Features With Google Earth Engine
Abstract
The composition and distribution of wetland vegetation is critical for ecosystem diversity and sustainable development. However, tidal flat wetland environments are complex, and obtaining effective satellite imagery is challenging due to the high cloud coverage. Moreover, it is difficult to acquire phenological feature data and extract species-level wetland vegetation information by using only spectral data or individual images. To solve these limitations, statistical features, temporal features, and phenological features of multiple Landsat 8 time-series images obtained via the Google Earth Engine (GEE) platform were compared to extract species-level wetland vegetation information from Chongming Island, China. The results indicated that (1) a harmonic model obtained the phenological characteristics of wetland vegetation better than the raw vegetation index (VI) and the Savitzky-Golay (SG) smoothing method; (2) classification based on the combination of the three features provided the highest overall accuracy (85.54%), and the phenological features (represented by the amplitude and phase of the harmonic model) had the greatest impact on the classification; and (3) the classification result from the senescence period was more accurate than that from the green period, but the annual mapping result on all seasons was the most accurate. The method described in this study can be applied to overcome the impacts of the complex environment in tidal flat wetlands and to effectively classify wetland vegetation species using GEE. This study could be used as a reference for the analysis of the phenological features of other areas or vegetation types.
Year
DOI
Venue
2021
10.3390/rs13030443
REMOTE SENSING
Keywords
DocType
Volume
tidal flat vegetation classification, Google Earth Engine, harmonic model, phenological features, Chongming Island
Journal
13
Issue
Citations 
PageRank 
3
0
0.34
References 
Authors
0
9
Name
Order
Citations
PageRank
Nan Wu101.01
Runhe Shi200.68
Wei Zhuo301.01
Chao Zhang401.01
Bingchan Zhou500.34
Zilong Xia600.34
Tao Zhu75812.63
Wei Gao816045.78
Bo Tian901.01