A5102832206- Marine and coastal ecosystems
- Remote Sensing and Land Use
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Marine and fisheries research
- Landslides and related hazards
- Flood Risk Assessment and Management
- Advanced SAR Imaging Techniques
- Coastal and Marine Management
- Marine and coastal plant biology
- Water Quality Monitoring Technologies
- Hydrology and Watershed Management Studies
- Food Industry and Aquatic Biology
- Water Quality Monitoring and Analysis
- Land Use and Ecosystem Services
- Marine Biology and Ecology Research
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
Harbin Institute of Technology
2021-2024
An outbreak of Ulva prolifera poses a massive threat to coastal ecology in the Southern Yellow Sea, China (SYS). It is necessity extract its area and monitor development accurately. At present, monitoring by remote sensing imagery mostly based on fixed threshold or artificial visual interpretation for selection, which has large errors. In this paper, an adaptive model Google Earth Engine (GEE) proposed applied U. SYS. The first applies Floating Algae Index (FAI) Normalized Difference...
Although satellite remote sensing technology is intensively used for the monitoring of water quality, inversion coastal bodies and non-optically active parameters still a challenging issue. Few ongoing studies use to analyze driving forces changes in quality from multiple aspects based on results. By Landsat 5/8 imagery measured situ data total nitrogen (TN) phosphorus (TP) Shenzhen-Hong Kong Bay area 1986 2020, this study evaluated modeling effects four machine learning methods named Tree...
One of the most basic classification tasks in remote sensing is to distinguish between water bodies and other surface types. Although there are numerous techniques for extracting from satellite imagery, still a need research more accurately identify with view efficient maintenance future. Delineation accuracy limited by varying amounts suspended matter different background land covers, especially those low albedo. Therefore, objective this study was develop an advanced index that improves...
Recurring green tides (also called Ulva prolifera) cause significant damage to marine ecosystems in the Yellow Sea of China, especially settlement region. The region is a critical area for natural decay and decomposition which obviously has ecological consequences. Recent studies relation this topic are mostly based on point observation data, what prevents quantitatively analyze impact patterns tide biomass at large spatial scales. Therefore, we used remote sensing time-series GOCI satellite...
The small baseline subset of spaceborne interferometric synthetic aperture radar (SBAS-InSAR) technology has become a classical method for monitoring slow deformations through time series analysis with an accuracy in the centimeter or even millimeter range. Thereby, selection high-quality interferograms calculated is one key operations method, since it mainly determines credibility deformation information. Especially era big data, demand automatic and effective SBAS-InSAR growing. In this...
Approximately 1 million tons of green tides decompose naturally in the Yellow Sea China every year, releasing large quantities nutrients that disrupt marine ecological balance and cause significant environmental consequences. Currently, identification areas affected by primarily relies on certain methods, such as ground sampling biochemical analysis, which limit ability to quickly dynamically identify decomposition regions at spatial temporal scales. While multi-source remote sensing data...
Abstract Jiangsu Province is an area with active economic and social development. With the advancement of urbanization, ecological issues have become a hot spot in region. Objectively quantitatively assessing spatial-temporal environmental quality changes crucial for protection policymaking. Remote sensing very effective ground-based information acquisition tool long-term analysis. Thus, this study uses remote to evaluate environment Province. The Sensing Ecological Index (RSEI) from 1990...
<p>The small baseline subset of spaceborne interferometric synthetic aperture radar (SBAS-InSAR) technology has become a classical method for monitoring slow deformations through time series analysis with an accuracy in the centimeter or even millimeter range. Additionally, process calculating interferograms itself directly affects SBAS-InSAR measurements, whereby selection high-quality interferogram pairs is crucial SBAS data processing. Especially era big data, demand...