Monitoring and Forecasting Green Tide in the Yellow Sea Using Satellite Imagery

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 8; p. 2196
• Main Authors: Xu, Shuwen, Yu, Tan, Xu, Jinmeng, Pan, Xishan, Shao, Weizeng, Zuo, Juncheng, Yu, Yang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2023
• Subjects: Accuracy; Algae; algal blooms; Artificial satellites in remote sensing; China; Coasts; Datasets; Environmental monitoring; Green tides; growth curve; growth curves; Landsat; Landsat satellites; Methods; multi-source RS; NDVI; prediction; Predictions; Prevention; Remote sensing; Satellite imagery; Satellites; Sensors; source tracing; Trends; uncertainty; Vegetation; Weather forecasting; Yellow Sea; Yellow Sea green tide; China; Yellow Sea

This paper proposes a semi-automatic green tide extraction method based on the NDVI to extract Yellow Sea green tides from 2008 to 2022 using remote sensing (RS) images from multiple satellites: GF-1, Landsat 5 TM, Landsat 8 OLI_TIRS, HJ-1A/B, HY-1C, and MODIS. The results of the accuracy assessment...