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Joint Urban Remote Sensing Event (JURSE)

作者： Enk, Annemarie Carlos, de Wasseige Dresden Univ Appl Sci Fac Spatial Informat Dresden Germany Namibia Univ Sci & Technol Geospatial Sci & Technol Windhoek Namibia

ISBN: (纸本)9781728100098

One of the main land administration challenges in Namibia concerns urban growth. It is a fast process which is only partly done formally. The aim of this work is to identify and present an optimal prototypical workflow to be used by planning authorities to monitor spatial growth of informal settlements in Namibia. This workflow involves the access to satellite image data sources, processing services for object identification and change detection. Very high spatial resolution images have been proven as the most suitable data source. Other sources such as the use of aerial images derived from drones or cadastral data have been looked at but are not applicable to perform informal settlement monitoring on a larger scale and on a regular basis. The current detection practice, from visual interpretation and point location is used as baseline for improvement. Automatic object base detection is promising, but still requires a visual validation and is sensitive to image pair quality. The improved system proposed to the planning authorities includes visual interpretation of image difference and computer aided delineation.

关键词： Informal settlement urban development change detection object based image analysis

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IMPACT OF LAND USE DYNAMICS ON STREAM FLOW: A CASE STUDY IN UPPER BHIMA BASIN, MAHARASHTRA, INDIA

IMPACT OF LAND USE DYNAMICS ON STREAM FLOW: A CASE STUDY IN ...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Samal, Dipak R. Gedam, Shirish S. Indian Inst Technol Bombay Maharashtra India

ISBN: (纸本)9781467311595

The process of urbanization and industrialization always have an impact on the hydrological regime and alternate land use pattern of the area. The present study is being carried out for the upper Bhima basin in western India. The basin has undergone various land use changes during last decade and before due to various anthropogenic activities. An object based image analysis approach along with rainfall and resulting stream flow records for last two decades (1985-2004) were analyzed to study the impact of land use on steam flow in the basin. The study revealed that rainfall pattern was nearly constant during study period, whereas a significant reduction in stream flow has been observed. Conversion of wasteland to agricultural land, construction of new dams/reservoirs in the high rainfall region, increase in domestic and industrial water demand are the major factors responsible for stream flow reduction in the basin.

关键词： Bhima basin Land use Stream flow object based image analysis

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ASSESSMENT OF MULTIRESOLUTION SEGMENTATION FOR EXTRACTING GREENHOUSES FROM WORLDVIEW-2 imageRY 23

ASSESSMENT OF MULTIRESOLUTION SEGMENTATION FOR EXTRACTING GR...

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

作者： Aguilar, M. A. Aguilar, F. J. Garcia Lorca, A. Guirado, E. Betlej, M. Cichon, P. Nemmaoui, A. Vallario, A. Parente, C. Univ Almeria Dept Engn Almeria 04120 Spain Univ Almeria Dept Geog Almeria 04120 Spain Univ Almeria Dept Biol & Geol Almeria 04120 Spain Univ Naples Parthenope Dept Sci & Technol I-80143 Naples Italy

The latest breed of very high resolution (VHR) commercial satellites opens new possibilities for cartographic and remote sensing applications. In this way, object based image analysis (OBIA) approach has been proved as the best option when working with VHR satellite imagery. OBIA considers spectral, geometric, textural and topological attributes associated with meaningful image objects. Thus, the first step of OBIA, referred to as segmentation, is to delineate objects of interest. Determination of an optimal segmentation is crucial for a good performance of the second stage in OBIA, the classification process. The main goal of this work is to assess the multiresolution segmentation algorithm provided by eCognition software for delineating greenhouses from WorldView2 multispectral orthoimages. Specifically, the focus is on finding the optimal parameters of the multiresolution segmentation approach (i.e., Scale, Shape and Compactness) for plastic greenhouses. The optimum Scale parameter estimation was based on the idea of local variance of object heterogeneity within a scene (ESP2 tool). Moreover, different segmentation results were attained by using different combinations of Shape and Compactness values. Assessment of segmentation quality based on the discrepancy between reference polygons and corresponding image segments was carried out to identify the optimal setting of multiresolution segmentation parameters. Three discrepancy indices were used: Potential Segmentation Error (PSE), Number-of-Segments Ratio (NSR) and Euclidean Distance 2 (ED2).

关键词： Segmentation Multiresolution object based image analysis WorldView-2 Scale Shape Compactness Local Variance

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THE APPLICATION OF object based analysis OF HIGH SPATIAL RESOLUTION imageRY FOR MAPPING LARGE CORAL REEF SYSTEMS IN THE WEST PACIFIC AT GEOMORPHIC AND BENTHIC COMMUNITY SPATIAL SCALES 30

THE APPLICATION OF OBJECT BASED ANALYSIS OF HIGH SPATIAL RES...

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30th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) on Remote Sensing - Global Vision for Local Action

作者： Roelfsema, Chris Phinn, Stuart Jupiter, Stacy Comley, James Beger, Marie Paterson, Eric Univ Queensland Ctr Remote Sensing & Spatial Informat Sci Sch Geog Planning & Environm Management Brisbane Qld 4072 Australia Wildlife Conservation Soc Suva Fiji Univ South Pacific Suva Fiji Univ Queensland Spatial Ecol Lab Brisbane Qld Australia

ISBN: (纸本)9781424495665

Coral reef habitat maps at various spatial scales and extent are needed for monitoring and management purposes in coral reef environments. This paper will demonstrate object based analysis for coral reef habitat mapping at reef type, geomorphic zone and benthic community spatial scales, on single reefs or reef systems in Western Pacific. For the study sites, archived high spatial resolution Quickbird and/or Ikonos imagery were acquired and radiometric and atmospheric corrected. Georeferenced benthic photos along transects were acquired for calibration and validation purposes. Hierarchical mapping from reef, to geomorphic zone, then community scales, was completed using object based segmentation and semi-automated labeling through membership rules using field data for calibration and validation. The resulting hierarchal maps for reef type, geomorphic zone and benthic community, had varying accuracies 60-80% for each spatial scale.

关键词： object based image analysis high spatial resolution imagery Habitat Mapping Coral Reefs

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Measuring rural settlement expansion in Uzbekistan using remote sensing to support spatial planning

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APPLIED GEOGRAPHY 2015年 62卷 29-43页

作者： Conrad, C. Rudloff, M. Abdullaev, I. Thiel, M. Loew, F. Lamers, J. P. A. Univ Wurzburg Inst Geog Remote Sensing Unit Oswald Kulpe Weg 86 D-97074 Wurzburg Germany Reg Environm Ctr Cent Asia CAREC Alma Ata 050043 Kazakhstan Univ Bonn ZEF Ctr Dev Res D-53113 Bonn Germany

Population growth demands sustainable spatial planning strategies for settlements in Uzbekistan, Central Asia, especially in rural areas that are inhabited by approximately 64 percent of the country's population. Where can settlements expand in rural Uzbekistan and does settlement growth affect valuable agricultural land? SPOT-5 data with a resolution of 2.5 m was utilized for mapping building layers and assessing settlement growth between 2006 and 2011 at the example of 53 communities located in the Khorezm province in North-West Uzbekistan. object based image analysis was conducted, i.e. a multi-scale segmentation for the derivation of building contours, followed by a random forest (RF) classification of the object's spectral and spatial characteristics. A geographical information system (GIS) was used for identifying settlement densification and expansion processes, and for quantifying agricultural land parcels of different soil quality occupied during settlement growth. A calibration routine based on indices of segmentation quality enabled the selection of optimal segmentation parameters. After GIS-based refinements of the RF classification results, the overall accuracy (OA) of the building layers of both years exceeded 95%. The OA of the change map was 92.7%. The results revealed that the building area increased by 20%, whilst settlement expansion amounted to 10% in 2006 - 2011. Settlements widely expanded in accordance with the existing rules prohibiting the conversion of agricultural land to housing areas. Nevertheless, about 20% of the settlement growth occurred on agricultural production areas, also on those with highly productive soils. The results indicated both, the pressure on land resources for settlement growth and - in face of continuous population growth - an increasing demand for comprehensive spatial planning in rural Uzbekistan. The elaborated methodological approach can be extrapolated to regions throughout Central Asia with similar environmenta

关键词： Central Asia Rural settlement growth Remote sensing SPOT object based image analysis Spatial planning

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APPLICATION OF object based APPROACH TO HETEROGENEOUS LAND COVER/USE

APPLICATION OF OBJECT BASED APPROACH TO HETEROGENEOUS LAND C...

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Conference on Geographic object-based image analysis (GEOBIA)

作者： Kanjir, U. Veljanovski, T. Marsetic, A. Ostir, K. Slovenian Acad Sci & Arts Ctr Sci Res Inst Anthropol & Spatial Studies Ljubljana 1000 Slovenia

While analyzing satellite or aerial images different inconveniences can have negative effects on final classification accuracy. The objective of this paper is to expose the problems that were faced while classifying land use and land cover over two study areas in Slovenia. Two differently covered areas were chosen intentionally;the intensive agricultural area of Gornja Radgona in North-Eastern Slovenia and the subalpine area of Kobarid in the Western part of the country. By using object based image analysis we focus on two main problems;reducing negative effects of shadows on the image and misleading delineation of spectrally similar classes. Shadows that are present in the image and inconvenient for the interpretation were divided into two groups;small patches of shadows, which are result of higher objects, and bigger areas of shadows in the mountainous area. Both types of shadows are the consequence of the "inappropriate" position of the Sun at the time of acquisition and significant altitude difference over a relatively short distance. Another issue in the classification process is the delineation of segments that separate classes with similar spectral signature in the segmentation phase. Although segmentation parameters have been optimally set on a value where spectrally similar classes can still be separated, the delineations of classes do not always show the real situation. This paper presents approaches that were used to minimize both aforementioned problems and through which higher final classification accuracy was obtained.

关键词： object based image analysis segmentation delineation shadows agricultural and subalpine landscapes

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GEOMORPHIC DETERMINANATS OF LANDUSE INTENSITY

GEOMORPHIC DETERMINANATS OF LANDUSE INTENSITY

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ISPRS Technical Commission VIII Symposium

作者： Chidi, Chhabi Lal Tribhuvan Univ Cent Dept Geog Kathmandu Nepal

Increasing population growth and lacking of further spatial expansion of various landuse have compelled to look intensity dimension of landuse. Grid cell based data extraction can give unique character of each locality of small land unit area which is very suitable technique for data extraction in the hill areas like Nepal. Landform plays an important role determining landuse intensity. Freely available 30m resolution Aster GDEM image has been used to extract geomorphic variables. Landuse data has been taken from aerial photo 1996. Quantitative weight has been given to landuse categories on the basis input, output and ecological importance for human life. One hectare square grid cells have been generated to extract geomorphic and landuse intensity information. The result shows that the average intensity of landuse is highly related to summarized categories of each geomorphic variable. Graphical presentation and quantitative analysis have been used to identify the effect of geomorphic variables on land use intensity. Simple and multiple correlation and regression analysis shows that there is higher control of altitude, slope gradient and slope aspect on landuse intensity. The average landuse intensity is highly determined by geomorphic variable then in local level. Multiple correlation coefficients is found to be 0.42 and the adjusted R-2 representing coefficient of determination is 0.178 which is significant at more than 99% of confidence level. So, it can be concluded that geomorphic factors have contributed 17.8% of the total variation determining landuse intensity in the study area.

关键词： Dummy variable Geomorphic variable Landuse intensity object based image analysis Grid cell base

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MONITORING LAND USE CHANGES ASSOCIATED WITH URBANIZATION IN THE UPPER BHIMA BASIN, MAHARASHTRA, INDIA

MONITORING LAND USE CHANGES ASSOCIATED WITH URBANIZATION IN ...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Samal, Dipak R. Gedam, Shirish S. ITT Bombay CSRE Bombay Maharashtra India

ISBN: (纸本)9781479911141

Urbanization is the most dramatic form of irreversible land transformation which occurs due to various anthropogenic activities. Multi-temporal Landsat images acquired from different sensors like MSS, TM and ETM+ between 1972-2009 as well as digital elevation dataset is used to study the influence of urbanization on its surrounding land use/cover pattern in the upper Bhima basin. An object based standard nearest neighbor (NN) classification technique is employed for precise classification of various land use classes in the basin. The study revealed that rapid built up area expansion driven by population growth, demand for water from city region leads to construction of new dams in high rainfall region and mass conversion of waste land to agricultural land are the major changes being noticed in the basin due to urbanization.

关键词： Urbanization Bhima basin object based image analysis GIS

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Soft image Segmentation Model

Soft Image Segmentation Model

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International Conference on Computer Vision in Remote Sensing (CVRS)

作者： Chen, Xuehong Chen, Jin Yamaguchi, Yasushi Beijing Normal Univ State Key Lab Earth Surface Proc & Resource Ecol Beijing 100875 Peoples R China Nagoya Univ Grad Sch Environm Studies Nagoya Aichi Japan

ISBN: (纸本)9781467312745;9781467312721

With the spatial resolution of remote sensing data increases, the information of spatial features become more and more important for interpretation of remote sensing images. Therefore, object based image analysis methods receive more and more attentions. image segmentation is the most important step for object based methods. Many segmentation algorithms have been developed, however, there are always uncertainties or errors in image segmentation. Unfortunately, such uncertainty information was largely neglected in previous studies. In this paper, a soft segmentation model aiming to describe the uncertainties in the segmentation procedure was developed based on the multi-resolution segmentation, which is a bottom-up approach and follows a pair-wise object merging process. At each merging step, the soft segmentation model calculates probabilities of several adjacent sub-objects merged into super-objects on the next level. By combining the probability at each merging step, the final probability of each pixel merged into the super-objects on the top level can be acquired. A case study of an IKON OS image was conducted for validating the effectiveness of the proposed model. The result shows that the soft image segmentation model is able to represent the reliability of the hard segmentation and the existence of mixed pixels on the borders of the adjacent objects. The uncertainty information of segmentation may help to further understand the segmented result

关键词： soft segmentation hard segmentation object based image analysis

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Forest Habitat Change Dynamics in a Riparian Wetland

Forest Habitat Change Dynamics in a Riparian Wetland

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1st International Conference on Spatial Statistics - Mapping Global Change

作者： Kollar, Szilvia Vekerdy, Zoltan Markus, Bela Univ W Hungary Fac Geoinformat H-8000 Szekesfehervar Hungary ITC Dept Water Resources NL-7500 AE Enschede Netherlands

Our study aims at monitoring ecosystem dynamics in the Szigetkoz Danube floodplain (Hungary), where the wetland communities have been seriously affected by the abrupt hydrological changes after the Danube-diversion in 1992. Wetland habitats were mapped in the last years for a chosen area, based on a comparable use of archived analogue and digital aerial images and available silvicultural and botanical inventories. During the object-based image analysis the classification was mainly based on texture measures. The resulting map time series show habitat borders for each year and present the changes separately for each class. The method is suitable for the characterization of spatial and temporal structure of wetland land cover in a realistic way. (C) 2011 Published by Elsevier Ltd. Selection and peer-review under responsibility of Spatial Statistics 2011

关键词： remote sensing object based image analysis wetland change detection aerial imagery texture based classification.

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