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Integrating orthorectified RADARSAT data and GIS data for forest management

机译:整合矫形器雷达拉特数据和GIS数据进行森林管理

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Forest updating is the detection and recording of recent manmade or natural changes. The most common, currently accepted approach for forest updating is airphoto interpretation and subsequent update using a GIS. This approach is well understood and accepted by the forestry community. Benefits include wide spread operational use of photography for additional forestry tasks, while limitations include cost, update ability, and weather dependence. This paper reviews how RADARSAT data can monitor forestry activity in several operational test sites in Canada and Ecuador. The methodology of processing, integrating and analyzing multi-data sources, such as satellite data, GIS data, GPS, aerial photography, can produce acceptable results for forestry management. Results show that the boundaries of high contrast forest clearcuts in RADARSAT Finer mode data had a total root-men-squared (RMS) error of 12.5 meters compared to differentially corrected GPS data.
机译:森林更新是最近的人造或自然变化的检测和记录。最常见的,目前接受的森林更新方法是AirPhoto解释和使用GIS的后续更新。这种方法得到了很好的理解和林业社区接受。优点包括摄影广泛展开的摄影,以获得额外的林业任务,而限制包括成本,更新能力和天气依赖。本文评估了Radarsat数据如何在加拿大和厄瓜多尔的几个运营测试地点监测林业活动。处理,集成和分析多数据源的方法,例如卫星数据,GIS数据,GPS,航空摄影,可以为林业管理产生可接受的结果。结果表明,与差别校正的GPS数据相比,雷达拉特更精细模式数据中的高对比度森林清除型在雷达特森林清算中的界限具有12.5米的总根部平方(RMS)误差。

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