Data underlying the PhD Thesis: Data-driven tools for assessing ecosystems health

This repository contains the supporting documents of the PhD thesis "data-driven tools for assessing ecosystems health". This thesis work addresses the need for a) robust integration of in situ measurements and remote sensing data to improve the accuracy and reliability of ecosystem monitoring, and b) spatially scalable tools that could be of direct use to different targeted users.

本仓库收录博士学位论文《面向生态系统健康评估的数据驱动工具》的支撑文档。本论文研究围绕两项核心需求展开：a）实现原位观测数据与遥感数据的稳健融合，以提升生态系统监测的精度与可靠性；b）研发空间可扩展的工具，可直接服务于各类目标用户。