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Detecting and Quantifying Forest Change: The Potential of Existing C- and X-Band Radar Datasets

机译:检测和量化森林变化:现有的C波段和X波段雷达数据集的潜力

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摘要

This paper evaluates the opportunity provided by global interferometric radar datasets for monitoring deforestation, degradation and forest regrowth in tropical and semi-arid environments. The paper describes an easy to implement method for detecting forest spatial changes and estimating their magnitude. The datasets were acquired within space-borne high spatial resolutions radar missions at near-global scales thus being significant for monitoring systems developed under the United Framework Convention on Climate Change (UNFCCC). The approach presented in this paper was tested in two areas located in Indonesia and Australia. Forest change estimation was based on differences between a reference dataset acquired in February 2000 by the Shuttle Radar Topography Mission (SRTM) and TanDEM-X mission (TDM) datasets acquired in 2011 and 2013. The synergy between SRTM and TDM datasets allowed not only identifying changes in forest extent but also estimating their magnitude with respect to the reference through variations in forest height.
机译:本文评估了全球干涉雷达数据集提供的在热带和半干旱环境中监测森林砍伐,退化和森林再生的机会。本文介绍了一种易于实现的方法,用于检测森林空间变化并估算其大小。这些数据集是在近全球范围的星载高空间分辨率雷达任务中获取的,因此对于根据《联合国气候变化框架公约》(UNFCCC)开发的监测系统具有重要意义。本文介绍的方法已在印度尼西亚和澳大利亚的两个地区进行了测试。森林变化估算是基于2000年2月由航天飞机雷达地形任务(SRTM)获取的参考数据集与2011年和2013年获得的TanDEM-X任务(TDM)数据集之间的差异。SRTM和TDM数据集之间的协同作用不仅可以确定森林范围的变化,但也通过森林高度的变化来估计其相对于参考的大小。

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