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基于高分影像的智慧林业综合应用平台——以榆林市为例 被引量:5

Intelligent Forestry Comprehensive Application Platform Based on High Resolution Image:Taking Yulin City as an Example
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摘要 针对林业信息采集手段落后、林业资源底数不清、火灾识别不精确、受灾经济损失无法有效评估、人畜对林木破坏严重等问题,传统的林业资源监测和管理手段已经无法满足现代管理的需求,平台基于高分辨率遥感卫星,充分利用移动通信、物联网、远程监控、倾斜摄影等关键理论与技术,引入空间思维,研发了林业灾害分析、林业资源统计、林业应急指挥等一系列信息挖掘模型,突破了实时监测的森林火灾云感知、森林火灾自动探测与一体化指挥等关键技术,为林业的智慧感知、分析、研判、推演等提供强有力的信息手段,推动林业管理水平再上新台阶,拓宽了林业遥感应用的深度和广度,便于推动国产自主高分遥感卫星的产业化应用和空间信息产业的发展。 Aiming at the problems of backward means of forestry information collection,unclear base of forestry resources,inaccurate identification of fires,ineffective assessment of economic losses caused by disasters,and serious destruction of forests by human and livestock,etc.The traditional forestry resources monitoring and management means have been unable to meet the needs of modern management.Based on high resolution remote sensing satellite,the platform made full use of key theories and technologies such as mobile communication,Internet of Things,remote monitoring,oblique photograph,introduces spatial thinking,and developed a series of information mining models such as forestry disaster analysis,forestry resources statistics,forestry emergency command,etc.It broke through the key technologies of real-time monitoring of forest fire cloud perception,automatic detection of forest fire and integrated command,provided powerful information means for intelligent perception,analysis,research and evaluation of forestry,promoted the level of forestry management to a new level,broadened the depth and breadth of forestry remote sensing applications,and facilitated the industrialization and application of domestic autonomous high-resolution remote sensing satellites and the development of spatial information industry.
作者 刘云鹤 胡俊勇 吕国梁 LIU Yunhe;HU Junyong;LYU Guoliang(Shaanxi TIRAIN Science&Technology Co.Ltd.,Xi'an 710054,China)
出处 《测绘与空间地理信息》 2020年第12期119-121,共3页 Geomatics & Spatial Information Technology
关键词 高分影像 智慧林业 空间感知 防火监测 high resolution image intelligent forestry spatial perception fire monitoring
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