南京城市森林干扰及恢复自动制图

使用1987—2011年Landsat TM/ETM⁺稠密时间序列数据，以南京市老山林场和紫金山森林为研究对象，通过Ledaps预处理系统生成地表反射率数据集，采用植被变化追踪模型(VCT)得到南京城市森林的干扰及恢复历史数据库产品，并对产品进行验证.结果表明： 空间一致性为65.4%～95.0%，VCT产品监测森林干扰具有较高的空间一致性.2个研究区的森林干扰和恢复随着时间变化波动明显，干扰变化规律相似，但森林恢复规律明显不同.紫金山的森林覆盖率小于老山林场，但总体上，老山林场的森林干扰率和恢复率大于紫金山.

Automated mapping of urban forests’ disturbance and recovery in Nanjing,China.

Using Landsat TM/ETM⁺ dense time series observations spanning from 1987 to 2011, taking Laoshan forest farm and Purple Mountain as the research objects, the landsat ecosystem disturbance adaptive processing system (Ledaps) algorithm was used to generate surface reflectance datasets, which were fed to the vegetation change tracker model (VCT) model to derive urban fo rest disturbance and recovery products over Nanjing, followed by an intensive validation of the products. The results showed that there was a relatively high spatial agreement for forest disturbance products mapped by VCT, ranging from 65.4% to 95.0%. There was an apparent fluctuating forest disturbance and recovery rate over time, and the change trend of forest disturbance occurring at the two sites was roughly similar, but forest recovery was obviously different. Forest coverage in Purple Mountain was less than that in Laoshan forest farm, but the forest disturbance and recovery rates in Laoshan forest farm were larger than those in Purple Mountain.