The objective of this study was to estimate the carbon storage capacity of Pinus densiflora stands using remotely sensed data by combining digital aerial photography with light detection and ranging(LiDAR) data.A digi...The objective of this study was to estimate the carbon storage capacity of Pinus densiflora stands using remotely sensed data by combining digital aerial photography with light detection and ranging(LiDAR) data.A digital canopy model(DCM),generated from the LiDAR data,was combined with aerial photography for segmenting crowns of individual trees.To eliminate errors in over and under-segmentation,the combined image was smoothed using a Gaussian filtering method.The processed image was then segmented into individual trees using a marker-controlled watershed segmentation method.After measuring the crown area from the segmented individual trees,the individual tree diameter at breast height(DBH) was estimated using a regression function developed from the relationship observed between the field-measured DBH and crown area.The above ground biomass of individual trees could be calculated by an image-derived DBH using a regression function developed by the Korea Forest Research Institute.The carbon storage,based on individual trees,was estimated by simple multiplication using the carbon conversion index(0.5),as suggested in guidelines from the Intergovernmental Panel on Climate Change.The mean carbon storage per individual tree was estimated and then compared with the field-measured value.This study suggested that the biomass and carbon storage in a large forest area can be effectively estimated using aerial photographs and LiDAR data.展开更多
Airborne photographs can be expediently used in environmental monitoring; e.g., in the surveillance of the state of natural reserve areas, such as wetlands; or in the measurement and mapping of pollutants, such as oil...Airborne photographs can be expediently used in environmental monitoring; e.g., in the surveillance of the state of natural reserve areas, such as wetlands; or in the measurement and mapping of pollutants, such as oil spills on a lake or sea. A new and cost-effective platform of airborne remote sensing is the UAV （unmanned aerial vehicle） or drone. In this experimental work, aerial photos were made in Bakony Mountains using three UAVs equipped with small HD （high definition） cameras; resolution： 1,280 ~ 720 pixels. Within the framework of this work, a small lake was photographed, where the beginning of eutrophication was detected. This hardly can be observed from ground, however, it is visible on the aerial photos. The airborne surveillance of areas of ragweed （Ambrosia sp.） populations was also investigated. It was found that both UAVs are feasible for these tasks, and the application of these platforms for environmental monitoring is advantageous, especially in case of natural reserve areas since those are very silent and--contrary to big aircrafts and helicopters---do not disturb the ecology even in natural reserve areas and the people living there. Moreover, those could be operated in a very flexible and economic way, and the aerial photos taken are highly informative.展开更多
随着无人机技术的持续进步,相关研究不断兴起并呈现出多元化的发展态势,通过对中国知网(CNKI)和Web of Science(WOS)数据库的文献计量和内容分析,探讨了无人机技术在植被信息采集中的研究热点和发展趋势,分析其在生态农林业及景观遗产...随着无人机技术的持续进步,相关研究不断兴起并呈现出多元化的发展态势,通过对中国知网(CNKI)和Web of Science(WOS)数据库的文献计量和内容分析,探讨了无人机技术在植被信息采集中的研究热点和发展趋势,分析其在生态农林业及景观遗产保护等领域的具体应用及核心技术。结果如下:无人机技术主要集中在结合激光雷达、RGB图像、多光谱和高光谱传感器等多种传感器技术与图像检测算法,显著提升了植被数据采集的精度和效率;植物信息获取主要应用于森林资源清查、病虫害检测、环境资源统计及生物多样性保护等方向;未来研究应加强多传感器数据融合应用,提高复杂场景下植被数据的算法识别精度,关注数据搜集过程的运营管理、数据安全及隐私问题,从而推动现有无人机航测技术在更广泛领域的深度应用,促进植物资源数据获取智能化、精细化与多维度发展。展开更多
Inventory maps of earthquake-triggered landslides can be constructed using several methods,which are often subject to obvious differences due to lack of commonly accepted criteria or principles,To solve this problem,t...Inventory maps of earthquake-triggered landslides can be constructed using several methods,which are often subject to obvious differences due to lack of commonly accepted criteria or principles,To solve this problem,the author describes the principles for preparing inventory maps of earthquake-triggered landslides,focusing on varied methods and their criteria,The principles include the following key points:all landslides should be mapped as long as they can be recognized from images;both the boundary and source area position of landslides should be mapped;spatial distribution pattern of earthquake-triggered landslides should be continuous;complex landslides should be divided into distinct groups;three types of errors such as precision of the location and boundary of landslides,false positive errors,and false negative errors of earthquake-triggered landslide inventories should be controlled and reduced;and inventories of co-seismic landslides should be constructed by the visual interpretation method rather than automatic extraction of satellite images or/and aerial photographs,In addition,selection of remote sensing images and creation of landslides attribute database are also discussed in this paper,Then the author applies these principles to produce inventory maps of four events:the 12 May 2008 Wenchuan,China M_w 7.9,14 April 2010 Yushu,China M_w 6,9,12 January 2010 Haiti M_w7.0,and 2007 Aysen Fjord,Chile M_w 6.2,The results show obvious differences in comparison with previous studies by other researchers,which again attest to the necessity of establishment of unified principles for preparation of inventory maps of earthquake-triggered landslides.展开更多
基金the support of the ‘Public Applications Research of Satellite Data Project’ (Grant No. FR09662). provided by the Korea Aerospace Research Institutesupported by a research grant from the Korea Science and Engineering Foundation (KOSEF) (Grant No. A307-K001)
文摘The objective of this study was to estimate the carbon storage capacity of Pinus densiflora stands using remotely sensed data by combining digital aerial photography with light detection and ranging(LiDAR) data.A digital canopy model(DCM),generated from the LiDAR data,was combined with aerial photography for segmenting crowns of individual trees.To eliminate errors in over and under-segmentation,the combined image was smoothed using a Gaussian filtering method.The processed image was then segmented into individual trees using a marker-controlled watershed segmentation method.After measuring the crown area from the segmented individual trees,the individual tree diameter at breast height(DBH) was estimated using a regression function developed from the relationship observed between the field-measured DBH and crown area.The above ground biomass of individual trees could be calculated by an image-derived DBH using a regression function developed by the Korea Forest Research Institute.The carbon storage,based on individual trees,was estimated by simple multiplication using the carbon conversion index(0.5),as suggested in guidelines from the Intergovernmental Panel on Climate Change.The mean carbon storage per individual tree was estimated and then compared with the field-measured value.This study suggested that the biomass and carbon storage in a large forest area can be effectively estimated using aerial photographs and LiDAR data.
文摘Airborne photographs can be expediently used in environmental monitoring; e.g., in the surveillance of the state of natural reserve areas, such as wetlands; or in the measurement and mapping of pollutants, such as oil spills on a lake or sea. A new and cost-effective platform of airborne remote sensing is the UAV （unmanned aerial vehicle） or drone. In this experimental work, aerial photos were made in Bakony Mountains using three UAVs equipped with small HD （high definition） cameras; resolution： 1,280 ~ 720 pixels. Within the framework of this work, a small lake was photographed, where the beginning of eutrophication was detected. This hardly can be observed from ground, however, it is visible on the aerial photos. The airborne surveillance of areas of ragweed （Ambrosia sp.） populations was also investigated. It was found that both UAVs are feasible for these tasks, and the application of these platforms for environmental monitoring is advantageous, especially in case of natural reserve areas since those are very silent and--contrary to big aircrafts and helicopters---do not disturb the ecology even in natural reserve areas and the people living there. Moreover, those could be operated in a very flexible and economic way, and the aerial photos taken are highly informative.
文摘随着无人机技术的持续进步,相关研究不断兴起并呈现出多元化的发展态势,通过对中国知网(CNKI)和Web of Science(WOS)数据库的文献计量和内容分析,探讨了无人机技术在植被信息采集中的研究热点和发展趋势,分析其在生态农林业及景观遗产保护等领域的具体应用及核心技术。结果如下:无人机技术主要集中在结合激光雷达、RGB图像、多光谱和高光谱传感器等多种传感器技术与图像检测算法,显著提升了植被数据采集的精度和效率;植物信息获取主要应用于森林资源清查、病虫害检测、环境资源统计及生物多样性保护等方向;未来研究应加强多传感器数据融合应用,提高复杂场景下植被数据的算法识别精度,关注数据搜集过程的运营管理、数据安全及隐私问题,从而推动现有无人机航测技术在更广泛领域的深度应用,促进植物资源数据获取智能化、精细化与多维度发展。
基金supported by the National Natural Science Foundation of China(Grant No.41202235)
文摘Inventory maps of earthquake-triggered landslides can be constructed using several methods,which are often subject to obvious differences due to lack of commonly accepted criteria or principles,To solve this problem,the author describes the principles for preparing inventory maps of earthquake-triggered landslides,focusing on varied methods and their criteria,The principles include the following key points:all landslides should be mapped as long as they can be recognized from images;both the boundary and source area position of landslides should be mapped;spatial distribution pattern of earthquake-triggered landslides should be continuous;complex landslides should be divided into distinct groups;three types of errors such as precision of the location and boundary of landslides,false positive errors,and false negative errors of earthquake-triggered landslide inventories should be controlled and reduced;and inventories of co-seismic landslides should be constructed by the visual interpretation method rather than automatic extraction of satellite images or/and aerial photographs,In addition,selection of remote sensing images and creation of landslides attribute database are also discussed in this paper,Then the author applies these principles to produce inventory maps of four events:the 12 May 2008 Wenchuan,China M_w 7.9,14 April 2010 Yushu,China M_w 6,9,12 January 2010 Haiti M_w7.0,and 2007 Aysen Fjord,Chile M_w 6.2,The results show obvious differences in comparison with previous studies by other researchers,which again attest to the necessity of establishment of unified principles for preparation of inventory maps of earthquake-triggered landslides.
