T/XJBX 0084-2025 Standard for monitoring land-based biodiversity based on multi-source data fusion
T/XJBX 0084-2025 Standard for monitoring land-based biodiversity based on multi-source data fusion
Basic Information
Scope
Terrestrial biodiversity is an important indicator for measuring the health of ecosystems, maintaining ecological service functions, and supporting sustainable development. With global climate change, changes in land use, and intensified human activities, biodiversity is facing increasing pressures, making it particularly important to conduct scientific, accurate, and long-term monitoring of biodiversity. Traditional monitoring methods mainly rely on field surveys and single data sources, which suffer from limited spatial coverage, poor timeliness, and high data collection costs, making it difficult to comprehensively reflect the dynamic changes of biodiversity. In recent years, the rapid development of multi-source data such as remote sensing, drones, field sensors, environmental DNA, and biological observation databases has provided rich data support for terrestrial biodiversity monitoring. Through multi-source data fusion technology, data from different sources can be integrated and analyzed to achieve higher spatial resolution, longer time series, and stronger information content in ecological monitoring. Multi-source data fusion not only improves monitoring accuracy but also optimizes sample point placement, reduces survey costs, and enhances the ability to detect ecological change trends, providing scientific basis for ecological protection, resource management, and decision-making. Despite the broad application prospects of multi-source data fusion technology in ecological monitoring, there are still problems such as inconsistent standards, significant methodological differences, and non-standardized data quality evaluation and analysis methods in practical operations. Therefore, this document is developed to establish unified monitoring methods and technical standards for terrestrial biodiversity based on multi-source data, standardize data collection, processing, fusion, and analysis processes, clarify monitoring indicators and quality control requirement