公司碳排放数据

该数据库结合地理空间信息处理技术，基于区域矢量数据进行切割获取区域碳浓度数据。大气二氧化碳浓度上升是导致全球气候变暖的主要原因之一，所以监测碳浓度变化有助于了解并减缓全球气候变化的趋势。团队通过云计算技术和自主算法解译百万量级卫星图像，本数据集包括日度、月度、季度和年度碳浓度数据。

This database integrates geospatial information processing technologies to derive regional carbon concentration data by cropping based on regional vector datasets. The rise in atmospheric carbon dioxide concentration is one of the primary drivers of global warming; therefore, monitoring changes in carbon concentration contributes to understanding and mitigating the trend of global climate change. The team processed and interpreted millions-scale satellite images using cloud computing technologies and independently developed algorithms. This dataset encompasses daily, monthly, quarterly and annual carbon concentration data.

搜集汇总

背景与挑战

背景概述

该数据集通过卫星遥感技术计算公司碳排放变量，用于区域经济分析和投资决策，包含日度、月度、季度和年度碳浓度数据。