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Spaceborne remote sensing of the world's protected areas

机译:世界保护区的星载遥感

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There has been a rapid evolution of satellites, sensors, and techniques to measure, monitor, and manage terrestrial protected areas. There are over 100,000 protected areas around the world and most lack important information on the status and trends of natural resource issues. We review advances and limitations in spaceborne remote sensing that can be applied to all terrestrial protected areas around the world. There have been significant advances in baseline vegetation mapping and land cover classifications by combining field data, data from multiple sensors, and classification techniques. However, global classifications on the extent of non-forest vegetation types (e.g. grasslands and shrublands) are still needed at 30 m pixel resolution. High spatial (< 1 m) and spectral (220 bands) resolution sensors have provided important data on environmental issues (e.g. invasive species, degradation) that are region or site specific. Advances in monitoring protected areas have primarily focused on forest ecosystems and land cover dynamics in and around protected areas using time series data. Landsat imagery can be used to monitor vegetation extent and dynamics at 30 m pixel resolution across the globe, while the MODIS sensors are more appropriate for monthly updates on trends of ecosystem health in protected areas. There has also been an increase in time series remote sensing datasets on anthropogenic impacts, such as light pollution, fire, and land surface temperature, that can be used for all protected areas. Future geographic research should focus on developing global protocols and incorporating near real time and annual metrics that can easily be used by natural resource managers to assess the status and trends of all protected areas.
机译:卫星,传感器和用于测量,监视和管理陆地保护区的技术已经迅速发展。世界上有超过100,000个保护区,其中大多数缺乏有关自然资源问题的状况和趋势的重要信息。我们回顾了星空遥感技术的进展和局限性,这些进步和局限性可以应用于世界各地的所有地面保护区。通过结合野外数据,来自多个传感器的数据和分类技术,基线植被测绘和土地覆被分类方面取得了重大进展。但是,仍需要在30 m像素分辨率下对非森林植被类型(例如草地和灌木丛)的范围进行全球分类。高空间(<1 m)和光谱(220波段)分辨率传感器已提供了有关区域或特定地点的环境问题(例如入侵物种,退化)的重要数据。监测保护区的进展主要集中在使用时间序列数据的保护区内外的森林生态系统和土地覆盖动态。 Landsat影像可用于监测全球30 m像素分辨率的植被范围和动态,而MODIS传感器更适合每月更新保护区生态系统健康趋势。关于人为影响的时间序列遥感数据集也有所增加,例如可用于所有保护区的光污染,火灾和地表温度。未来的地理研究应集中于制定全球协议,并结合近实时和年度指标,这些指标可以被自然资源管理者轻松地用来评估所有保护区的状况和趋势。

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