人类活动通过改变土地覆被促成森林面积变化，推动碳收支和地表能量平衡发生相应变化，进而影响全球和区域尺度的气候。然而，基于多源中分辨率遥感发展的高可靠度的历史森林变化结合其生物物理过程对于区域温度的影响评估缺乏，特别是造林与毁林驱动的辐射、非辐射效应评估。本项目以广东省为例，将造林与毁林时空动态数据、辐射与非辐射遥感观测以及气候数据输入能量平衡方程，并利用移动窗口空间采样法和时空变化分析法，揭示近30年来造林与毁林动态及其生物物理机制对区域温度影响的时空变化规律。主要研究内容：（1）拟结合多分类特征-多层分类与阈值集成算法以及时间序列空间叠置分析与准则，构建造林与毁林时空动态数据集；（2）在此基础上集成基于遥感和站点观测的能量平衡模型，建立造林与毁林时空变化的区域温度响应模型。研究产出将为南方人工林区或相似地理区通过合理植树造林和减少砍伐以实现气候效益最大化提供科学理论与方法指导。

Human activities contribute to forest changes by altering land cover, promoting changes in carbon budget and surface energy balance, further affecting climate at global and regional scales. However, the effects of high reliability historical forest change estimated by multi-source moderate resolution remote sensing and their biophysical processes on regional temperature are not fully assessed, especially the radiative and non-radiative effects driven by afforestation and deforestation. This project takes Guangdong Province as an example. The spatio-temporal dynamic data of afforestation and deforestation, radiative and non-radiative remote sensing observation and climate data were input into the energy balance model, and the impact of dynamics of afforestation and deforestation and their biophysical mechanism on regional temperature in the past 30 years was revealed by using spatial sample sampling of moving window and analysis of spatial-temporal variation methods. This project focuses on two aspects: (1) constructing the historical dataset of afforestation and deforestation by combining the multi-classification features- multi-layer classification and threshold integration algorithm as well as the spatial overlay analysis and criterion of time series; (2) on this basis, integrating the energy balance model based on satellite and site observations to establish the regional temperature response model of afforestation and deforestation. This research will provide scientific theory and methodological guidance for the maximization of climate benefit through reasonable afforestation and reduction of deforestation in southern planted forests or similar geographical areas.