检索结果-内蒙古大学图书馆

23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)

作者： Ejares, J. A. Violanda, R. R. Diola, A. G. Dy, D. T. Otadoy, J. B. Otadoy, R. E. S. Univ San Carlos Fr Josef Baumgartner Learning Resource Ctr USC Phil LiDAR Res Ctr Talamban Campus Cebu 6000 Philippines Univ San Carlos Dept Phys Theoret & Computat Sci & Engn Grp Cebu 6000 Philippines Univ San Carlos Dept Biol Cebu 6000 Philippines

This paper investigates tree canopy cover mapping of urban barangays (smallest administrative division in the Philippines) in Cebu City using LiDAR (Light Detection and Ranging). object-based image analysis (OBIA) was used to extract tree canopy cover. Multi-resolution segmentation and a series of assign-class algorithm in eCognition software was also performed to extract different land features. Contextual features of tree canopies such as height, area, roundness, slope, length-width and elliptic fit were also evaluated. The results showed that at the time the LiDAR data was collected (June 24, 2014), the tree cover was around 25.11% (or 15,674,341.8 m(2)) of the city's urban barangays (or 62,426,064.6 m(2)). Among all urban barangays in Cebu City, Barangay Busay had the highest cover (55.79%) while barangay Suba had the lowest (0.8%). The 16 barangays with less than 10% tree cover were generally located in the coastal area, presumably due to accelerated urbanization. Thirty-one barangays have tree cover ranging from 10.59-27.3%. Only 3 barangays (i.e., Lahug, Talamban, and Busay) have tree cover greater than 30%. The overall accuracy of the analysis was 96.6% with the Kappa Index of Agreement or KIA of 0.9. From the study, a grouping can be made of the city's urban barangays with regards to tree cover. The grouping will be useful to urban planners not only in allocating budget to the tree planting program of the city but also in planning and creation of urban parks and playgrounds.

关键词： object-based image analysis LAStools CHM NDSM multi-threshold segmentation urban forest management urban planning

来源：评论

学校读者我要写书评

暂无评论

FROM UAS DATA ACQUISITION TO ACTIONABLE INFORMATION - HOW AN END-TO-END SOLUTION HELPS OIL PALM PLANTATION OPERATORS TO PERFORM A MORE SUSTAINABLE PLANTATION MANAGEMENT 23

FROM UAS DATA ACQUISITION TO ACTIONABLE INFORMATION - HOW AN...

引用

23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS)

作者： Hoffmann, C. Weise, C. Koch, T. Pauly, K. Trimble Germany GmbH Prime Parc 11 D-65479 Raunheim Germany Trimble Gatewing Buchtenstr 9-1 B-9051 Ghent Belgium

Palm oil represents the most efficient oilseed crop in the world but the production of palm oil involves plantation operations in one of the most fragile environments - the tropical lowlands. Deforestation, the drying-out of swampy lowlands and chemical fertilizers lead to environmental problems that are putting pressure on this industry Unmanned aircraft systems (UAS) together with latest photogrammetric processing and image analysis capabilities represent an emerging technology that was identified to be suitable to optimize oil palm plantation operations. This paper focuses on two key elements of a UAS-based oil palm monitoring system. The first is the accuracy of the acquired data that is necessary to achieve meaningful results in later analysis steps. High performance GNSS technology was utilized to achieve those accuracies while decreasing the demand for cost-intensive GCP measurements. The second key topic is the analysis of the resulting data in order to optimize plantation operations. By automatically extracting information on a block level as well as on a single-tree level, operators can utilize the developed application to increase their productivity. The research results describe how operators can successfully make use of a UAS-based solution together with the developed software solution to improve their efficiency in oil palm plantation management.

关键词： UAS GNSS base line processing Oil Palm Plantations object-based image analysis Sustainable forestry

来源：评论

学校读者我要写书评

暂无评论

Landslide mapping and monitoring by using radar and optical remote sensing: Examples from the EC-FP7 project SAFER

引用

Remote Sensing Applications: Society and Environment 2016年 4卷 92-108页

作者： Casagli, N. Cigna, F. Bianchini, S. Hölbling, D. Füreder, P. Righini, G. Del Conte, S. Friedl, B. Schneiderbauer, S. Iasio, C. Vlcko, J. Greif, V. Proske, H. Granica, K. Falco, S. Lozzi, S. Mora, O. Arnaud, A. Novali, F. Bianchi, M. Department of Earth Sciences University of Firenze (UNIFI) Via G. La Pira 4 Firenze 50121 Italy British Geological Survey (BGS) – Natural Environment Research Council (NERC) Environmental Science Centre Nicker Hill Keyworth Nottingham NG12 5GG United Kingdom Department of Geoinformatics – Z_GIS University of Salzburg Salzburg 5020 Austria ENEA – Italian National Agency for New Technologies Energy and Sustainable Economic Development Via Martiri di Monte Sole 4 Bologna 40139 Italy Tele-Rilevamento Europa - T.R.E. s.r.l. Ripa di Porta Ticinese 79 Milan 20143 Italy EURAC - European Academy of Bozen/Bolzano Viale Druso 1 Bolzano Italy HENESIS s.r.l. - Camlin Group Viale dei Mille 108 Parma 43125 Italy Department of Engineering Geology Comenius University in Bratislava Bratislava 84215 Slovakia JOANNEUM Research Institute of Digital Image Processing Wastiangasse 6 Graz 8010 Austria e-GEOS Via Cannizzaro 71 Rome 00156 Italy Altamira Information C/Còrsega 381-387 Barcelona 08037 Spain

This paper focuses on the Landslide Thematic services of the EU-funded FP7-SPACE project SAFER (Services and Applications For Emergency Response) for inventory mapping, monitoring and rapid mapping by using Earth Observation (EO). We exploited satellite Interferometric Synthetic Aperture Radar (InSAR) and object-based image analysis (OBIA), and discuss example applications in South Tyrol and Abruzzo (Italy), Lower Austria (Austria), Lubietova (Slovakia) and the Kaohsiung County (Taiwan). These case studies showcase the significance of radar and optical EO data, InSAR and OBIA methods for landslide mapping and monitoring in different geological environments and during all phases of emergency management: mitigation, preparedness, crisis and recovery. © 2016 The Authors

关键词： Landslides object-based image analysis Remote sensing SAFER project SAR Interferometry

来源：评论

学校读者我要写书评

暂无评论

Insect detection and nitrogen management for irrigated potatoes using remote sensing from small unmanned aircraft systems

Insect detection and nitrogen management for irrigated potat...

引用

Conference on Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping

作者： Hunt, E. Raymond, Jr. Rondon, Silvia I. Hamm, Phillip B. Turner, Robert W. Bruce, Alan E. Brungardt, Josh J. ARS USDA Hydrol & Remote Sensing Lab 10300 Baltimore Ave Beltsville MD 20705 USA Oregon State Univ Hermiston Agr Res & Extens Ctr Hermiston OR 97838 USA Boeing Co Boeing Res & Technol Kent WA 98032 USA Paradigm ISR Bend OR 97701 USA

ISBN: (纸本)9781510601079

Remote sensing with small unmanned aircraft systems (sUAS) has potential applications in agriculture because low flight altitudes allow image acquisition at very high spatial resolution. We set up experiments at the Oregon State University Hermiston Agricultural Research and Extension Center with different platforms and sensors to assess advantages and disadvantages of sUAS for precision farming. In 2013, we conducted an experiment with 4 levels of N fertilizer, and followed the changes in the normalized difference vegetation index (NDVI) over time. In late June, there were no differences in chlorophyll content or leaf area index (LAI) among the 3 higher application rates. Consistent with the field data, only plots with the lowest rate of applied N were distinguished by low NDVI. In early August, N deficiency was determined by NDVI, but it was too late to mitigate losses in potato yield and quality. Populations of the Colorado potato beetle (CPB) may rapidly increase, devouring the shoots, thus early detection and treatment could prevent yield losses. In 2014, we conducted an experiment with 4 levels of CPB infestation. Over one day, damage from CPB in some plots increased from 0 to 19%. A visual ranking of damage was not correlated with the total number of CPB or treatment. Plot-scale vegetation indices were not correlated with damage, although the damaged area determined by object-based feature extraction was highly correlated. Methods based on object-based image analysis of sUAS data have potential for early detection and reduced cost.

关键词： Precision agriculture Solanum tuberosum spectral indices object-based image analysis nitrogen fertilization Colorado potato beetle Leptinotarsa decemlineata

来源：评论

学校读者我要写书评

暂无评论

TEXTURE FEATURE EXTRACTION OF MOUNTAIN ECONOMIC FOREST USING HIGH SPATIAL RESOLUTION REMOTE SENSING imageS 36

TEXTURE FEATURE EXTRACTION OF MOUNTAIN ECONOMIC FOREST USING...

引用

36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Yang, Panpan Hou, Zhiting Liu, Xiaolong Shi, Zhengtao Yunnan Normal Univ Coll Tourism & Geog Sci Kunming 650500 Yunnan Peoples R China

ISBN: (纸本)9781509033324

The inventory of economic forest planting on mountainous area is of great interest for the shareholders, ecologists, and governors. This study presents a novel object-based remote sensing image texture extraction method to aid the classification of mountain economic forest. Whereas the texture pattern of man-planted forest on mountainous area are similar with human fingerprint on remote sensing images, then we integrated the fingerprint recognition method with the image object-based GLCM (gray-level co-occurrence matrix) texture extraction method to classify economic forest plantation. The given method firstly enhances the texture feature of segmented image objects using a 2D Gabor filter;and then carries out an image binaryzation process to the filtered image objects;it lastly uses GLCM to calculate the texture characteristics of each image object. The classification result of the presented method shows a considerable classification accuracy increment comparing to the image object-based GLCM texture extraction method.

关键词： Texture feature extraction Economic plantation classification High spatial resolution Gabor filter object-based image analysis

来源：评论

学校读者我要写书评

暂无评论

Spatial Variation in Carbon Storage: A Case Study for Currambene Creek, NSW, Australia

引用

JOURNAL OF COASTAL RESEARCH 2016年第SP1期75卷 1297-1301页

作者： Owers, Christopher J. Rogers, Kerrylee Mazumder, Debashish Woodroffe, Colin D. Univ Wollongong Sch Earth & Environm Sci GeoQuEST Res Ctr Wollongong NSW Australia Australian Nucl Sci & Technol Org Sydney NSW Australia

Quantifying carbon storage in coastal wetland environments is important for identifying areas of high carbon sequestration value that could be targeted for conservation. This study combines remote sensing and sediment analysis to identify spatial variation in soil carbon storage for Currambene Creek, New South Wales, Australia to establish whether vegetation structure influences soil carbon storage in the upper 30 cm. Wetland vegetation was delineated to capture structural complexity within vegetation communities using Light detection and ranging (Lidar) point cloud data and aerial imagery with an object-based image analysis approach. Sediment cores were collected and analysed for soil carbon content to quantify below-ground carbon storage across the site. The total soil carbon storage in the upper 30 cm for the wetland (59.6 ha) was estimated to be 3933 +/- 444 Mg C. Tall mangrove were found to have the highest total carbon storage (1420 +/- 198 Mg C), however are particularly sensitive to changes in sea-level as they are positioned lowest in the intertidal frame. Conservation efforts targeted at protecting areas of high carbon sequestration, such as the tall mangrove, will lead to a greater contribution to carbon mitigation efforts.

关键词： Coastal wetlands mangrove saltmarsh object-based image analysis loss on ignition vegetation structure

来源：评论

学校读者我要写书评

暂无评论

Comparative assessment of methods for estimating tree canopy cover across a rural-to-urban gradient in the mid-Atlantic region of the USA

引用

ENVIRONMENTAL MONITORING AND ASSESSMENT 2016年第5期188卷 297-297页

作者： Riemann, Rachel Liknes, Greg O'Neil-Dunne, Jarlath Toney, Chris Lister, Tonya US Forest Serv Forest Inventory & Anal USDA No Res Stn 425 Jordan Rd Troy NY 12180 USA US Forest Serv Forest Inventory & Anal USDA No Res Stn 1992 Folwell Ave St Paul MN 55108 USA Univ Vermont Spatial Anal Lab George D Aiken Ctr 205 Burlington VT 05405 USA US Forest Serv USDA Rocky Mt Res Stn 5775 US West Highway 10 Missoula MT 59808 USA US Forest Serv Forest Inventory & Anal USDA No Res Stn 11 Campus BlvdSuite 200 Newtown Sq PA 19073 USA

Tree canopy cover significantly affects human and wildlife habitats, local hydrology, carbon cycles, fire behavior, and ecosystem services of all types. In addition, changes in tree canopy cover are both indicators and consequences of a wide variety of disturbances from urban development to climate change. There is growing demand for this information nationwide and across all land uses. The extensive inventory plot system managed by the USDA Forest Service Forest Inventory and analysis (FIA) offers a unique opportunity for acquiring unbiased tree canopy cover information across broad areas. However, the estimates it produces had not yet been examined for comparative accuracy with other sources. In this study, we compared four different methods readily available and with significant potential for application over broad areas. The first two, field-collected and photointerpreted, are currently acquired by FIA on approximately 44,000 plots annually nationwide. The third method is a stem-mapping approach that models tree canopy cover from variables regularly measured on forested plots and is efficient enough to calculate nationwide. The fourth is a Geographic-object-based image analysis (GEOBIA) approach that uses both high-resolution imagery and leaf-off LiDAR data and has reported very high accuracies and spatial detail at state-wide levels of application. Differences in the spatial and temporal resolution and coverage of these four datasets suggest that they could provide complementary information if their relationships could be better understood. Plot-and county-level estimates of tree canopy cover derived from each of the four data sources were compared for 11 counties in Maryland, Pennsylvania, and West Virginia across a range of urbanization levels. We found high levels of systematic agreement between field and photointerpreted, stem-mapped and field, photointerpreted and GEOBIA estimates. In several cases, the relationship changed with the level of tree canopy co

关键词： Tree canopy cover object-based image analysis Accuracy Comparative assessment Forest inventory

来源：评论

学校读者我要写书评

暂无评论

Landscape-Level Associations of Wintering Waterbird Diversity and Abundance from Remotely Sensed Wetland Characteristics of Poyang Lake

引用

REMOTE SENSING 2016年第6期8卷 462-462页

作者： Dronova, Iryna Beissinger, Steven R. Burnham, James W. Gong, Peng Univ Calif Berkeley Dept Landscape Architecture & Environm Planning Coll Environm Design Berkeley CA 94720 USA Univ Calif Berkeley Div Ecosyst Sci Dept Environm Sci Policy & Management Coll Nat Resources Berkeley CA 94720 USA Univ Wisconsin Dept Forest & Wildlife Ecol Coll Agr & Life Sci Madison WI 53706 USA Int Crane Fdn Baraboo WI 53913 USA Tsinghua Univ Ctr Earth Syst Sci Minist Educ Key Lab Earth Syst Modeling Beijing 100084 Peoples R China Poyang Lake Ecol Res Stn Environm & Hlth Duchang 332600 Peoples R China

Poyang Lake, the largest freshwater wetland in China, provides critical habitat for wintering waterbirds from the East Asian Flyway;however, landscape drivers of non-uniform bird diversity and abundance are not yet well understood. Using a winter 2006 waterbird survey, we examined the relationships among metrics of bird community diversity and abundance and landscape characteristics of 51 wetland sub-lakes derived by an object-based classification of Landsat satellite data. Relative importance of predictors and their sets was assessed using information-theoretic model selection and the Akaike Information Criterion. Ordinary least squares regression models were diagnosed and corrected for spatial autocorrelation using spatial autoregressive lag and error models. The strongest and most consistent landscape predictors included Normalized Difference Vegetation Index for mudflat (negative effect) and emergent grassland (positive effect), total sub-lake area (positive effect), and proportion of submerged vegetation (negative effect). Significant spatial autocorrelation in linear regression was associated with local clustering of response and predictor variables, and should be further explored for selection of wetland sampling units and management of protected areas. Overall, results corroborate the utility of remote sensing to elucidate potential indicators of waterbird diversity that complement logistically challenging ground observations and offer new hypotheses on factors underlying community distributions.

关键词： wetlands lakes remote sensing waterbird biodiversity conservation spatial autocorrelation object-based image analysis ecology habitat

来源：评论

学校读者我要写书评

暂无评论

Towards periodic and time-referenced flood risk assessment using airborne remote sensing

引用

JOURNAL OF HYDROLOGY AND HYDROMECHANICS 2016年第4期64卷 438-447页

作者： Brenner, Claire Meisch, Claude Apperl, Benjamin Schulz, Karsten Univ Nat Resources & Life Sci Inst Water Management Hydrol & Hydraul Engn IWHW Muthgasse 18 A-1190 Vienna Austria

Flood risk management is founded on the regular assessment of damage potential. A significant parameter for assessing damage potential is the number of at-risk objects. However, data sets on exposure are often incomplete and/or lack time-references. Airborne remote sensing data, such as orthophotos, offers a regularly-updated, time-referenced depiction of land use. As such, remote sensing data compensates for incomplete data sources (such as digital cadastral maps). Orthophotos can even be used to analyze the temporal dynamics of flood damage potential, providing that time-referenced information is available for multiple time points. This paper describes a method for integrating orthophotos into flood risk analyses. In Austria, orthophotos are updated every three years, allowing their integration into cyclical flood risk assessments. The results of a case study presented in this paper demonstrate that orthophotos are most useful where other data sources, such as digital cadastral maps, are incomplete. In such situations, orthophotos lead to a significant increase in estimated damage potential. Orthophoto analysis allows damage potentials to be re-assessed at regular intervals, another major advantage over digital cadastral maps. Orthophoto analysis thus supports the evaluation of flood risk management options.

关键词： Flood risk management Damage potential analysis object-based image analysis Orthophoto analysis Building detection

来源：评论

学校读者我要写书评

暂无评论

Trying to Break New Ground in Aerial Archaeology

引用

REMOTE SENSING 2016年第11期8卷 918-918页

作者： Verhoeven, Geert Sevara, Christopher Ludwig Boltzmann Inst Archaeol Prospect & Virtual Franz Klein Gasse 1-3 A-1190 Vienna Austria Univ Vienna Dept Prehist & Hist Archaeol Franz Klein Gasse 1-3 A-1190 Vienna Austria

Aerial reconnaissance continues to be a vital tool for landscape-oriented archaeological research. Although a variety of remote sensing platforms operate within the earth's atmosphere, the majority of aerial archaeological information is still derived from oblique photographs collected during observer-directed reconnaissance flights, a prospection approach which has dominated archaeological aerial survey for the past century. The resulting highly biased imagery is generally catalogued in sub-optimal (spatial) databases, if at all, after which a small selection of images is orthorectified and interpreted. For decades, this has been the standard approach. Although many innovations, including digital cameras, inertial units, photogrammetry and computer vision algorithms, geographic(al) information systems and computing power have emerged, their potential has not yet been fully exploited in order to re-invent and highly optimise this crucial branch of landscape archaeology. The authors argue that a fundamental change is needed to transform the way aerial archaeologists approach data acquisition and image processing. By addressing the very core concepts of geographically biased aerial archaeological photographs and proposing new imaging technologies, data handling methods and processing procedures, this paper gives a personal opinion on how the methodological components of aerial archaeology, and specifically aerial archaeological photography, should evolve during the next decade if developing a more reliable record of our past is to be our central aim. In this paper, a possible practical solution is illustrated by outlining a turnkey aerial prospection system for total coverage survey together with a semi-automated back-end pipeline that takes care of photograph correction and image enhancement as well as the management and interpretative mapping of the resulting data products. In this way, the proposed system addresses one of many bias issues in archaeological research

关键词： aerial archaeology aerial photography block survey camera pod landscape archaeology multispectral imaging object-based image analysis spatial data management

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：