High-Resolution Mapping Changes in the Invasion of Spartina Alterniflora in the Yellow River Delta

作者：Zhiqiang Qiu, Dehua Mao, Kaidong Feng, Ming Wang, Hengxing Xiang, Zongming Wang · 发表于：IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 年份：2022 · DOI：10.1109/jstars.2022.3193293 · 被引用次数：19 · 研究领域：Land Use and Ecosystem Services、Remote Sensing in Agriculture、Coastal wetland ecosystem dynamics

The propagation of the invasiveSpartina alterniflora(S. alterniflora) has seriously affected the health of coastal wetland ecosystems in China and thus requires an urgent response. In this research, we construct a feature vector set containing phenological and other time-series features based on the Google Earth Engine (GEE) platform by combining dense time-series images from the Sentinel-1 and Sentinel-2 satellites. We obtained the dataset of the annual distribution ofS. alterniflorain the Yellow River Delta (YRD) from 2016 to 2021 by developing an object-oriented random forest classification model. The results show thatS. alterniflorahas different phenological features from other wetland plants that played an important role in its classification based on the images. A combination of multiple phenological and temporal features improved the classification accuracy ofS. alterniflora(multi-year average OA: 95.38%; UA: 95.01%; PA: 95.17%). Our results suggest that from 2016 to 2021, the growth rate of the area occupied byS. alterniflorawas 2.17 km2per year, and a new patch of theS. alternifloraappeared in the south of the study area in 2018. The work here provides scientific data to support the monitoring and control of the invasiveS. alternifloraat a large scale.