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中国16m/10天叶绿素a、总悬浮物、透明度(2019-2021年)数据集

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北京市数据知识产权2025-07-09 更新2025-07-10 收录
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本数据集包括2019-2021年全国16m、10天的遥感反射率产品,包含内陆水体叶绿素a浓度、总悬浮物浓度、透明度三个参数,是水色遥感常用的3个参数,可以较全面反映水质状况和污染程度,为水环境保护与改善提供监测数据和评价指标。因其使用了最先进的软分类反演算法,具有很好的鲁棒性和可靠性。 环保:可以进行大范围长时序内陆湖库水环境监测,且具有快速、高效、低成本的优势。且能够快速评估湖库的富营养化情况、水体清洁程度等。 水利:可为水库、饮用水原地提供水质评价数据,为工农业用水和饮用水保障提供质量评估,为饮用水安全提供遥感评价。 水资源调查:水资源包含质和量两方面,遥感技术可为水资源调查工作提供低成本、大范围的水质数据,为水资源管理提供重要的参考数据。

This dataset consists of nationwide remote sensing reflectance products with 16-meter spatial resolution and 10-day temporal resolution from 2019 to 2021. It includes three parameters commonly used in aquatic color remote sensing: inland water chlorophyll-a concentration, total suspended matter concentration, and transparency. These three parameters can comprehensively reflect water quality status and pollution levels, providing monitoring data and evaluation indicators for water environmental protection and improvement. The dataset utilizes state-of-the-art soft classification inversion algorithms, endowing it with excellent robustness and reliability. Environmental Protection: This dataset enables large-scale, long-time series aquatic environment monitoring for inland lakes and reservoirs, with advantages of rapidity, high efficiency and low cost. It can also quickly assess the eutrophication status and water clarity of lakes and reservoirs, among other relevant indicators. Water Conservancy: It can provide water quality evaluation data for reservoirs and drinking water source areas, conduct quality assessments for industrial, agricultural and drinking water supplies, and support remote sensing-based evaluations of drinking water safety. Water Resources Survey: Water resources involve both quantity and quality. Remote sensing technology can provide low-cost, large-scale water quality data for water resources surveys, offering important reference data for water resources management.
提供机构:
北京科迪生专利代理有限责任公司
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