Hyperspectral remote sensing technology aids in wetland ecological monitoring

Wetlands possess vital ecological functions, including regulating climate, maintaining biodiversity, purifying water, and regulating floods, and are an important component of the global carbon cycle. Over the past century, under the dual pressures of climate change and human activities, the global wetland area has drastically decreased, with ecosystem structures being damaged, functions declining, and even lost. In particular, the spatial extent of wetlands in China has shrunk significantly. Ensuring the sustainable development of wetland environments and resources has become a critical issue.

Wetland remote sensing monitoring

Remote sensing technology, with its advantages of abundant data sources, macroscopic perspective, and rapid response, is widely used in monitoring and assessing the impacts of human activities on wetland ecosystems. It can acquire information on the spatial distribution and evolution trends of wetland vegetation, providing crucial data for the protection and management of wetland ecosystems. For the water body portion of wetlands, remote sensing can obtain information on water distribution, water level changes, and water quality parameters. Combined with ground monitoring data, wetland hydrological models can be established to predict water resource supply and demand, providing a scientific basis for the rational utilization of wetlands and the protection of their ecological environment.

When using remote sensing technology to monitor wetlands, the spectral characteristics of wetlands can be combined with the environmental characteristics of different wetland types for geoscientific analysis, thereby establishing corresponding wetland remote sensing classification methods.

CAS Xi'an Optoelectronics Aerospace - Hyperspectral Remote Sensing Wetland Monitoring

Hyperspectral satellites possess multi-band remote sensing capabilities, enabling them to capture richer spectral information. Compared to traditional satellites, hyperspectral satellites can provide more detailed ground feature information, such as the growth status and distribution of reeds in wetlands. By analyzing hyperspectral data, the distribution range and area of ​​reeds can be accurately identified using characteristics such as the reflectance of reeds in the infrared and near-infrared bands.

The Shichuan River flows for 30 kilometers within Yanliang District, controlling a drainage area of ​​188 square kilometers. Currently, the overgrown reeds along the Shichuan River in Yanliang have become a problem. Once winter arrives, the reeds will wither and need to be cut down. However, traditional manual surveying methods are inefficient and inaccurate, making it difficult to accurately determine the distribution and area of ​​the reeds. In this situation, using hyperspectral satellite remote sensing technology can offer unique advantages.

The XIGUANG-003 and XIGUANG-002 hyperspectral remote sensing satellites launched by CAS Xiguang currently possess the above-mentioned conditions, giving them a significant advantage in providing services to the Ishikawa River Basin management department.By establishing a ground-based hyperspectral quantitative model at sampling points in the study area, and obtaining the water reflectance spectrum values ​​at the sampling points through satellite data, the parameters of each water quality can be obtained through the model. Water quality monitoring can be achieved without actual measurement, greatly saving manpower and material resources. 

In recent years, the continuous development of remote sensing technology in terms of quantification, multi-temporal, multi-platform, massive information, and intelligent identification has provided more convenient methods and broader perspectives for wetland environment research and management decision-making. With the continuous expansion and enrichment of remote sensing data sources and the continuous improvement of big data processing capabilities, wetland remote sensing is rapidly developing towards multi-source, rapid, and refined directions, and wetland environment remote sensing research, as an important interdisciplinary field, will also mature.