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遥感数据因其全覆盖的优势被广泛应用于山地植被信息的调查和研究。为了实现山区植被类型的高精度提取,本文以太白山区为实验区,结合山地植被的垂直地带性分布规律,利用太白山植被垂直带谱、高分辨率遥感影像（GF1/GF2/ZY3）和1:1万的数字表面模型（Digital Surface Model, DSM）数据,进行了多层次、多尺度的影像分割,构建了具有植被垂直带谱信息的地形约束因子,并据此进行样本选择和面向对象的分类,分类总精度达92.9%,kappa系数达到0.9160。该方法相比于未辅以垂直带谱信息的分类,总精度提高了10%。研究结果表明,分类过程中加入具有垂直带谱信息的地形约束因子,能显著地提高样本选择的效率和准确率,为后续的植被分类提供了精度的保证。通过人机交互的方式,将垂直带谱知识应用到分类中,可以有效地提高山地植被分类的精度。 相似文献
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基于垂直带谱的南北过渡带1:5万植被类型图遥感制图研究——以太白山为例 总被引：1，自引：1，他引：1
The compilation of 1:250,000 vegetation type map in the North-South transitional zone and 1:50,000 vegetation type maps in typical mountainous areas is one of the main tasks of Integrated Scientific Investigation of the North-South Transitional Zone of China.In the past,vegetation type maps were compiled by a large number of ground field surveys.Although the field survey method is accurate,it is not only time-consuming,but also only covers a small area due to the limitations of physical environment conditions.Remote sensing data can make up for the limitation of field survey because of its full coverage.However,there are still some difficulties and bottlenecks in the extraction of remote sensing information of vegetation types,especially in the automatic extraction.As an example of the compilation of 1:50,000 vegetation type map,this paper explores and studies the remote sensing extraction and mapping methods of vegetation type with medium and large scales based on mountain altitudinal belts of Taibai Mountain,using multi-temporal high resolution remote sensing data,ground survey data,previous vegetation type map and forest survey data.The results show that:1)mountain altitudinal belts can effectively support remote sensing classification and mapping of 1:50,000 vegetation type map in mountain areas.Terrain constraint factors with mountain altitudinal belt information can be generated by mountain altitudinal belts and 1:10,000 Digital Surface Model(DSM)data of Taibai Mountain.Combining the terrain constraint factors with multi-temporal and high-resolution remote sensing data,ground survey data and previous small-scale vegetation type map data,the vegetation types at all levels can be extracted effectively.2)The basic remote sensing interpretation and mapping process for typical mountains is interpretation of vegetation type-groups→interpretation of vegetation formation groups,formations and subformations→interpretation and classification of vegetation types&subtypes,which is a combination method of top-down method and bottom-up method,not the top-down or the bottom-up classification according to the level of mapping units.The results of this study provide a demonstration and scientific basis for the compilation of large and medium scale vegetation type maps. 相似文献
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遥感技术为监测煤矿粗放式开发利用导致的资源环境破坏提供了便利，而绿色发展理念视角下对煤矿资源及周边生态环境的监测对遥感技术进一步提出了识别内部精细类型、开展长时序格局演变的新要求。为此，本研究基于高分六号（GF-6）影像、Landsat系列影像和谷歌地球历史高分影像，在内蒙古典型煤矿区采用人机交互的方式提取了2007—2019年包含露天采矿场、覆煤区、排土场和复垦区4种类型的煤矿区空间范围数据，从煤矿开采与治理趋势和煤矿开采与治理对周边土地利用的影响2个方面对该煤矿区的时空格局演变展开分析。结果显示煤矿区在2010年以前处于集中开采阶段，对周围土地利用侵占的主要用地类型为草地，在2010年后逐渐开始开展治理工作，且2015年后治理趋势超过开采趋势，实现了从“先开采后治理”到“边开采边治理”的转变。研究表明结合多源遥感影像可以实现绿色发展理念视角下煤矿区含内部精细类型的长时序动态监测，开采与治理相关结论可以为政策实施的有效性评估和政策演进的优化调整提供技术支撑。 相似文献
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