Detecting small changes in tropical forests from space... data and code for thesis chapter 4

SAR and UAV-LiDAR data used in chapter 4 of my thesis Detecting small changes in tropical forests from space: experiments using synthetic aperture radar. This content has also been submitted for peer review in Frontiers in Remote Sensing.

DEM_timeseries_3m contains phase height and coherence from TanDEM-X InSAR high-resolution spolight images, processed by Jose-Luis Bueso-Bello at DLR. NetCDF format, dimensions latitude, longitude, time.

TDX_descending_intensity contains intensity from the same TanDEM-X time series, covering an area of the Madre de Dios region in Peru. These data were processed by Harry Carstairs using ESA's SNAP software.

UAV_change_1m_mask is a raster showing the change in canopy height at the study site between June 2019 and July 2021, according to two UAV LiDAR campaigns, with 1m pixels, and with areas with low point density masked out.

CODE.zip contains python scripts and notebooks used to collate the data, create change detection metrics, develop SAR models of canopy height, and produce the figures.

Funded by European Research Council (ERC) grant to the Tropical Forest Degradation Experiment (FODEX).

本数据集用于本人学位论文《星载合成孔径雷达（SAR）探测热带森林微小变化：实验研究》的第4章，相关内容已投稿至《前沿遥感》（Frontiers in Remote Sensing）期刊进行同行评审。

DEM_timeseries_3m 包含TanDEM-X干涉合成孔径雷达（InSAR）高分辨率聚光灯模式影像反演的相位高程与相干性数据，由德国航空航天中心（DLR）的Jose-Luis Bueso-Bello完成处理。数据采用NetCDF格式，维度包含纬度、经度与时间。

TDX_descending_intensity 包含同一系列TanDEM-X时间序列的强度影像，覆盖秘鲁马德雷德迪奥斯（Madre de Dios）区域的一块研究样区。该数据由Harry Carstairs使用欧洲空间局（ESA）的SNAP软件处理生成。

UAV_change_1m_mask 是一幅栅格数据，基于2019年6月与2021年7月两次无人机载激光雷达（UAV-LiDAR）外业测量作业，展示了研究样地的冠层高度变化情况；其像素分辨率为1米，且已对点云密度较低的区域进行掩膜处理。

CODE.zip 包含用于数据整合、变化检测指标构建、冠层高度SAR模型开发以及生成成果配图所用的Python脚本与Jupyter笔记本。

本研究由欧洲研究委员会（ERC）面向热带森林退化实验（FODEX）的项目资助。