全球2013年1km叶面积数据集（GLASS-LAI）

全球陆表特征参量数据产品(GLASS产品)，由北京师范大学梁顺林教授团队自主研发，数据产品包括叶面积指数（LAI）、反照率（Albedo）、发射率（BBE）、光合有效辐射（PAR）、下行短波辐射（DSR）、净辐射（NR）、光合有效辐射吸收比（FAPAR）、植被覆盖率（FVC）、潜热（ET）和植被总初级生产力（GPP）等多种产品。GLASS产品是基于多源遥感数据和地面实测数据，反演得到的长时间序列、高精度的全球地表遥感产品。这些产品为研究全球环境变化提供了可靠的依据，能够广泛应用于全球、洲际和区域的大气、植被覆盖、水体等方面的动态监测，并与气温、降水等气候变化表征参数结合起来，可为全球生态环境演变规律、生态环境监测、资源开发和社会经济可持续发展提供很好的科学依据、技术和数据支持。本数据集包括HDF、XML两种数据格式存储，其中数据实体存储在HDF文件中，产品的元数据信息存储在HDF和XML文件中，压缩后数据量为 3113MB，共享方式为完全开放共享。

The Global Land Surface Attribute Data Product (GLASS Product) was independently developed by the team led by Professor Shunlin Liang from Beijing Normal University. This product covers multiple items including Leaf Area Index (LAI), Albedo, Emissivity (BBE), Photosynthetically Active Radiation (PAR), Downward Shortwave Radiation (DSR), Net Radiation (NR), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction of Vegetation Cover (FVC), Latent Heat (ET), and Gross Primary Productivity (GPP).
The GLASS Product is a long-time-series, high-precision global land surface remote sensing product retrieved from multi-source remote sensing data and in-situ ground measurement data. These products offer reliable foundations for global environmental change research, and are widely applicable to dynamic monitoring of the atmosphere, vegetation cover, water bodies and other aspects at global, continental and regional scales. When integrated with climate change characterization parameters such as air temperature and precipitation, they can provide high-quality scientific basis, technical support and data support for the study of global eco-environmental evolution laws, eco-environmental monitoring, resource development and socio-economic sustainable development.
This dataset is stored in two formats: HDF and XML. The actual data entities are stored in HDF files, while the product metadata is stored in both HDF and XML files. The compressed total data volume is 3113 MB, and the dataset is fully and openly shared.

搜集汇总

背景与挑战

背景概述

该数据集是2013年全球范围的叶面积指数（LAI）数据，空间分辨率为1公里，属于GLASS（全球陆表特征参数数据产品）系列的一部分。它基于多源遥感数据和地面测量，采用广义回归神经网络方法反演生成，适用于全球环境变化、植被覆盖动态监测等研究。