全国16米/10天植被总初级生产力（2019-2021年）数据集

全国16米植被总初级生产力（GPP）数据构建了新的区分全球植被气候带的GPP估算框架，有效提高了在自然植被类型的GPP遥感估算精度，具备较高的时空分辨率，可为全球区域植被变化分析、生态环境监测、政府部门决策提供数据支持。具体应用场景如下：
气候变化
GPP数据用于碳循环模型，以模拟和预测大气中二氧化碳浓度的变化；同时，通过GPP数据评估生态系统对温室气体的吸收和排放。
环境监测和评估
GPP是生态系统提供的重要服务之一，如碳储存、氧气供应和水源涵养。且GPP数据可用于评估人类活动（如城市化）对生态系统的影响。
城市规划与可持续发展
GPP与城市绿化和热岛效应有关，数据可以帮助设计有效的绿色基础设施，如城市公园和绿色屋顶，对于城市规划和可持续发展具有重要意义。

A national 16-meter spatial resolution vegetation Gross Primary Productivity (GPP) dataset has established a novel GPP estimation framework that differentiates global vegetation climate zones, effectively improving the accuracy of GPP remote sensing estimation for natural vegetation types. Boasting high spatiotemporal resolution, this dataset can provide data support for global regional vegetation change analysis, ecological environment monitoring, and government decision-making.
Specific application scenarios are as follows:
Climate Change
GPP datasets are applied in carbon cycle models to simulate and predict changes in atmospheric carbon dioxide concentrations; meanwhile, they are used to assess the uptake and emission of greenhouse gases by ecosystems.
Environmental Monitoring and Assessment
GPP is one of the important ecosystem services, including carbon sequestration, oxygen production, and water conservation. Additionally, GPP datasets can be used to evaluate the impacts of human activities such as urbanization on ecosystems.
Urban Planning and Sustainable Development
GPP is associated with urban greening and the urban heat island effect. The dataset can help design effective green infrastructure such as urban parks and green roofs, which is of great significance for urban planning and sustainable development.