Canopy Dieback Severity Mapping in Public Forests of the Lower North Coast of NSW

This canopy dieback map product was developed under the CIFOA Monitoring Program to support forest health assessment following extreme climate events. Using Sentinel-2 satellite imagery and a Random Forest machine learning model, canopy condition was classified into three standardised classes: live, partially dead, and dead. The model was trained using high-resolution manual classifications and applied across the NSW North Coast to map the spatial extent of canopy dieback observed after the 2023 early-season drought.\r\nThe dataset contains 57 Tifs and one QGIS Layer Settings file.

本冠层枯衰（canopy dieback）制图产品依托CIFOA监测计划（CIFOA Monitoring Program）开发，旨在支撑极端气候事件后的森林健康评估工作。本研究采用哨兵二号卫星影像（Sentinel-2 satellite imagery）与随机森林机器学习模型（Random Forest machine learning model），将冠层状况划分为三类标准化等级：健康、部分枯衰与完全枯衰。该模型基于高分辨率人工分类样本训练完成，并在新南威尔士州（New South Wales，简称NSW）北海岸全域开展应用，完成了2023年初季干旱后观测到的冠层枯衰空间范围制图。
本数据集共包含57个TIF格式栅格文件与1个QGIS图层设置文件（QGIS Layer Settings file）。