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A reliable land cover (LC) map is essential for planners, as missing proper land cover maps may deviate a project. This study is focusing on land cover classification and prediction using three well known classifiers and remote sensing data. Maximum Likelihood classifier (MLC), Spectral Angle Mapper (SAM), and Support Vector Machines (SVMs) algorithms are used as the representatives for parametric, non-parametric and subpixel capable methods for change detection and change prediction of Urmia City (Iran) and its suburbs. Landsat images of 2000, 2010, and 2020 have been used to provide land cover information. The results demonstrated 0.93–0.94 overall accuracies for MLC and SVMs’ algorithms, but it was around 0.79 for the SAM algorithm. The MLC performed slightly better than SVMs’ classifier. Cellular Automata Artificial neural network method was used to predict land cover changes. Overall accuracy of MLC was higher than others at about 0.94 accuracy, although, SVMs were slightly more accurate for large area segments. Land cover maps were predicted for 2030, which demonstrate the city’s expansion from 5500 ha in 2000 to more than 9000 ha in 2030.
Saeid Zare Naghadehi; Milad Asadi; Mohammad Maleki; Seyed-Mohammad Tavakkoli-Sabour; John Van Genderen; Samira-Sadat Saleh. Prediction of Urban Area Expansion with Implementation of MLC, SAM and SVMs’ Classifiers Incorporating Artificial Neural Network Using Landsat Data. ISPRS International Journal of Geo-Information 2021, 10, 513 .
AMA StyleSaeid Zare Naghadehi, Milad Asadi, Mohammad Maleki, Seyed-Mohammad Tavakkoli-Sabour, John Van Genderen, Samira-Sadat Saleh. Prediction of Urban Area Expansion with Implementation of MLC, SAM and SVMs’ Classifiers Incorporating Artificial Neural Network Using Landsat Data. ISPRS International Journal of Geo-Information. 2021; 10 (8):513.
Chicago/Turabian StyleSaeid Zare Naghadehi; Milad Asadi; Mohammad Maleki; Seyed-Mohammad Tavakkoli-Sabour; John Van Genderen; Samira-Sadat Saleh. 2021. "Prediction of Urban Area Expansion with Implementation of MLC, SAM and SVMs’ Classifiers Incorporating Artificial Neural Network Using Landsat Data." ISPRS International Journal of Geo-Information 10, no. 8: 513.
A comprehensive fire risk assessment is very important in dense urban areas as it provides an estimation of people at risk and property. Fire policy and mitigation strategies in developing countries are constrained by inadequate information, which is mainly due to a lack of capacity and resources for data collection, analysis, and modeling. In this research, we calculated the fire risk considering two aspects, urban infrastructure and the characteristics of a high-rise building for a dense urban area in Zanjan city. Since the resources for this purpose were rather limited, a variety of information was gathered and information fusion techniques were conducted by employing spatial analyses to produce fire risk maps. For this purpose, the spatial information produced using unmanned aerial vehicles (UAVs) and then attribute data (about 150 characteristics of each high-rise building) were gathered for each building. Finally, considering high-risk urban infrastructures, like the position of oil and gas pipes and electricity lines and the fire safety analysis of high-rise buildings, the vulnerability map for the area was prepared. The fire risk of each building was assessed and its risk level was identified. Results can help decision-makers, urban planners, emergency managers, and community organizations to plan for providing facilities and minimizing fire hazards and solve some related problems to reduce the fire risk. Moreover, the results of sensitivity analysis (SA) indicate that the social training factor is the most effective causative factor in the fire risk.
Zohreh Masoumi; John Van L.Genderen; Jamshid Maleki. Fire Risk Assessment in Dense Urban Areas Using Information Fusion Techniques. ISPRS International Journal of Geo-Information 2019, 8, 579 .
AMA StyleZohreh Masoumi, John Van L.Genderen, Jamshid Maleki. Fire Risk Assessment in Dense Urban Areas Using Information Fusion Techniques. ISPRS International Journal of Geo-Information. 2019; 8 (12):579.
Chicago/Turabian StyleZohreh Masoumi; John Van L.Genderen; Jamshid Maleki. 2019. "Fire Risk Assessment in Dense Urban Areas Using Information Fusion Techniques." ISPRS International Journal of Geo-Information 8, no. 12: 579.
The previous 25 chapters introduced relevant technologies, applications, and other topics related to Digital Earth. Respective challenges and future research were also proposed by various authors. In this concluding chapter, we briefly review Digital Earth past and present, followed by a set of challenges and future trends, speculating on how Digital Earth may evolve over the coming years. Such challenges and trends are discussed in the context of science drivers, technological advances, application adoption, and relevant virtual—physical community building.
John Van Genderen; Michael F. Goodchild; Huadong Guo; Chaowei Yang; Stefano Nativi; Lizhe Wang; Cuizhen Wang. Digital Earth Challenges and Future Trends. Manual of Digital Earth 2019, 811 -827.
AMA StyleJohn Van Genderen, Michael F. Goodchild, Huadong Guo, Chaowei Yang, Stefano Nativi, Lizhe Wang, Cuizhen Wang. Digital Earth Challenges and Future Trends. Manual of Digital Earth. 2019; ():811-827.
Chicago/Turabian StyleJohn Van Genderen; Michael F. Goodchild; Huadong Guo; Chaowei Yang; Stefano Nativi; Lizhe Wang; Cuizhen Wang. 2019. "Digital Earth Challenges and Future Trends." Manual of Digital Earth , no. : 811-827.
Huadong Guo; Jie Liu; Yubao Qiu; Massimo Menenti; Fang Chen; Paul F. Uhlir; Li Zhang; John Van Genderen; Dong Liang; Ishwaran Natarajan; Lanwei Zhu; Jiuliang Liu. The Digital Belt and Road program in support of regional sustainability. International Journal of Digital Earth 2018, 11, 657 -669.
AMA StyleHuadong Guo, Jie Liu, Yubao Qiu, Massimo Menenti, Fang Chen, Paul F. Uhlir, Li Zhang, John Van Genderen, Dong Liang, Ishwaran Natarajan, Lanwei Zhu, Jiuliang Liu. The Digital Belt and Road program in support of regional sustainability. International Journal of Digital Earth. 2018; 11 (7):657-669.
Chicago/Turabian StyleHuadong Guo; Jie Liu; Yubao Qiu; Massimo Menenti; Fang Chen; Paul F. Uhlir; Li Zhang; John Van Genderen; Dong Liang; Ishwaran Natarajan; Lanwei Zhu; Jiuliang Liu. 2018. "The Digital Belt and Road program in support of regional sustainability." International Journal of Digital Earth 11, no. 7: 657-669.
This paper presents some preliminary results from research on monitoring the urban growth of Shenzhen in China. Agriculture is still the pillar of national economies in many countries including China. Thus, agriculture contributes to population growth. Population growth follows either exponential or logistic growth models. These models can be examined using a time-series of geospatial data, mainly historical earth observation imagery from satellites such as LANDSAT. Such multitemporal data may provide insights into settlement analysis as well as on population dynamics and hence, quantify the loss of agricultural land. In this study, LANDSAT data of ten dates, at approximately five yearly intervals from 1977 to 2017 were used. The remote sensing techniques used for analysis of data for 40 years were image selection, then followed by geometric and radiometric corrections and mosaicking. Also, classification, remote sensing image fusion, and change detection methods were used. This research extracted the information on the amount, direction, and speed of urbanization, and hence, the number of hectares of agricultural land lost due to urban expansion. Several specific elements were used in the descriptive model of landscape changes and population dynamics of the city of Shenzhen in China. These elements are: i) quantify the urban changes, from a small town (37.000 people in the early 1970’s) to the megalopolis of around 20 million habitants today. ii) Examining the rate of urban extension on the loss of agricultural landscape and population growth. iii) The loss of food production was analysed against the economic growth in the region. iv) The aspects of loss of agricultural land, area of built-up urban land, and increase in population are studied quantitatively, by the temporal analysis of earth observation geospatial data. The experimental results from this study show that the proposed method is effective in determining loss of agricultural land in any city due to urbanization. It can be used by town planner and other stakeholders such as land surveyors and agriculture experts to mitigate the mushrooming of unplanned settlements in many town / villages and loss of land for agriculture which might cause problems in food security.
N. S. Sumari; Z. Shao; M. Huang; C. A. Sanga; J. L. Van Genderen. URBAN EXPANSION: A GEO-SPATIAL APPROACH FOR TEMPORAL MONITORING OF LOSS OF AGRICULTURAL LAND. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2017, XLII-2/W7, 1349 -1355.
AMA StyleN. S. Sumari, Z. Shao, M. Huang, C. A. Sanga, J. L. Van Genderen. URBAN EXPANSION: A GEO-SPATIAL APPROACH FOR TEMPORAL MONITORING OF LOSS OF AGRICULTURAL LAND. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2017; XLII-2/W7 ():1349-1355.
Chicago/Turabian StyleN. S. Sumari; Z. Shao; M. Huang; C. A. Sanga; J. L. Van Genderen. 2017. "URBAN EXPANSION: A GEO-SPATIAL APPROACH FOR TEMPORAL MONITORING OF LOSS OF AGRICULTURAL LAND." The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7, no. : 1349-1355.
John Van Genderen. Perspectives on the nature of geospatial information. Geo-spatial Information Science 2017, 20, 57 -58.
AMA StyleJohn Van Genderen. Perspectives on the nature of geospatial information. Geo-spatial Information Science. 2017; 20 (2):57-58.
Chicago/Turabian StyleJohn Van Genderen. 2017. "Perspectives on the nature of geospatial information." Geo-spatial Information Science 20, no. 2: 57-58.
Christine Pohl; John Van Genderen. Preprocessing. Remote Sensing Image Fusion 2016, 71 -92.
AMA StyleChristine Pohl, John Van Genderen. Preprocessing. Remote Sensing Image Fusion. 2016; ():71-92.
Chicago/Turabian StyleChristine Pohl; John Van Genderen. 2016. "Preprocessing." Remote Sensing Image Fusion , no. : 71-92.
Christine Pohl; John Van Genderen. Applications. Remote Sensing Image Fusion 2016, 171 -232.
AMA StyleChristine Pohl, John Van Genderen. Applications. Remote Sensing Image Fusion. 2016; ():171-232.
Chicago/Turabian StyleChristine Pohl; John Van Genderen. 2016. "Applications." Remote Sensing Image Fusion , no. : 171-232.
Christine Pohl; John Van Genderen. Quality Assessment. Remote Sensing Image Fusion 2016, 151 -170.
AMA StyleChristine Pohl, John Van Genderen. Quality Assessment. Remote Sensing Image Fusion. 2016; ():151-170.
Chicago/Turabian StyleChristine Pohl; John Van Genderen. 2016. "Quality Assessment." Remote Sensing Image Fusion , no. : 151-170.
Christine Pohl; John Van Genderen. Introduction. Remote Sensing Image Fusion 2016, 1 -50.
AMA StyleChristine Pohl, John Van Genderen. Introduction. Remote Sensing Image Fusion. 2016; ():1-50.
Chicago/Turabian StyleChristine Pohl; John Van Genderen. 2016. "Introduction." Remote Sensing Image Fusion , no. : 1-50.
Christine Pohl; John Van Genderen. Fusion Levels. Remote Sensing Image Fusion 2016, 51 -70.
AMA StyleChristine Pohl, John Van Genderen. Fusion Levels. Remote Sensing Image Fusion. 2016; ():51-70.
Chicago/Turabian StyleChristine Pohl; John Van Genderen. 2016. "Fusion Levels." Remote Sensing Image Fusion , no. : 51-70.
Christine Pohl; John Van Genderen. Fusion Techniques. Remote Sensing Image Fusion 2016, 93 -150.
AMA StyleChristine Pohl, John Van Genderen. Fusion Techniques. Remote Sensing Image Fusion. 2016; ():93-150.
Chicago/Turabian StyleChristine Pohl; John Van Genderen. 2016. "Fusion Techniques." Remote Sensing Image Fusion , no. : 93-150.
Christine Pohl; John Van Genderen. Front matter. Remote Sensing Image Fusion 2016, 1 .
AMA StyleChristine Pohl, John Van Genderen. Front matter. Remote Sensing Image Fusion. 2016; ():1.
Chicago/Turabian StyleChristine Pohl; John Van Genderen. 2016. "Front matter." Remote Sensing Image Fusion , no. : 1.
Christine Pohl; John Van Genderen. Conclusions and Trends. Remote Sensing Image Fusion 2016, 233 -253.
AMA StyleChristine Pohl, John Van Genderen. Conclusions and Trends. Remote Sensing Image Fusion. 2016; ():233-253.
Chicago/Turabian StyleChristine Pohl; John Van Genderen. 2016. "Conclusions and Trends." Remote Sensing Image Fusion , no. : 233-253.
John Van Genderen. Fundamentals of satellite remote sensing: an environmental approach. International Journal of Digital Earth 2016, 9, 1275 -1276.
AMA StyleJohn Van Genderen. Fundamentals of satellite remote sensing: an environmental approach. International Journal of Digital Earth. 2016; 9 (12):1275-1276.
Chicago/Turabian StyleJohn Van Genderen. 2016. "Fundamentals of satellite remote sensing: an environmental approach." International Journal of Digital Earth 9, no. 12: 1275-1276.
International technology transfer of advanced technology and knowledge and their subsequent absorption is crucial to firms in developing nations. This research paper aims to further enhance the understanding and operationalization of the absorptive capacity construct. In the rigorous review of existing literature, organizational routines were found to play a significant role in enhancing an organization’s absorptive capacity. We present our conceptualization of necessitated absorptive capacity as a dynamic organizational capability in the Necessitated Absorptive Capacity model. This paper contributes to the existing literature by providing a new model and an enhanced understanding and further operationalization of absorptive capacity.
Patrick van der Heiden; Christine Pohl; Shuhaimi Mansor; John van Genderen. Necessitated absorptive capacity and metaroutines in international technology transfer: A new model. Journal of Engineering and Technology Management 2016, 41, 65 -78.
AMA StylePatrick van der Heiden, Christine Pohl, Shuhaimi Mansor, John van Genderen. Necessitated absorptive capacity and metaroutines in international technology transfer: A new model. Journal of Engineering and Technology Management. 2016; 41 ():65-78.
Chicago/Turabian StylePatrick van der Heiden; Christine Pohl; Shuhaimi Mansor; John van Genderen. 2016. "Necessitated absorptive capacity and metaroutines in international technology transfer: A new model." Journal of Engineering and Technology Management 41, no. : 65-78.
The role of education and training in the aerospace sector for establishing sufficient levels of absorptive capacity in newly industrialized countries is substantial and forms a fundamental part of a nation’s ability to establish and cultivate absorptive capacity on a national or organization-specific level. Successful international technology transfer as well as absorption of aerospace technology and knowledge into recipient organizations, depends prodigiously on the types of policy adopted in education and training of all groups and individuals specifically outlined in this paper. The conducted literature review revealed surprisingly few papers that translate these vital issues from theoretical scrutiny into representations that have practical policy value. Through exploration of the seven key aspects of education and training, this paper provides a practical template for policy-makers and practitioners in Asian newly industrialized countries, which may be utilized as a prototype to coordinate relevant policy aspects of education and training in international technology transfer projects across a wide variety of actors and stakeholders in the aerospace realm. A pragmatic approach through tailored practical training for the identified groups and individuals identified in this paper may lead to an enhanced ability to establish and strengthen absorptive capacity in newly industrialized countries through the development of appropriate policy guidelines. The actual coordination between education and training efforts deserves increased research and subsequent translation into policies with practical content in the aerospace sector
Patrick van der Heiden; Christine Pohl; Shuhaimi Bin Mansor; John van Genderen. The role of education and training in absorptive capacity of international technology transfer in the aerospace sector. Progress in Aerospace Sciences 2015, 76, 42 -54.
AMA StylePatrick van der Heiden, Christine Pohl, Shuhaimi Bin Mansor, John van Genderen. The role of education and training in absorptive capacity of international technology transfer in the aerospace sector. Progress in Aerospace Sciences. 2015; 76 ():42-54.
Chicago/Turabian StylePatrick van der Heiden; Christine Pohl; Shuhaimi Bin Mansor; John van Genderen. 2015. "The role of education and training in absorptive capacity of international technology transfer in the aerospace sector." Progress in Aerospace Sciences 76, no. : 42-54.
Radiative forcing (RF) induced by land use (mainly surface albedo) change is still not well understood in climate change science, especially the effects of changes in urban albedo due to rapid urbanization on the urban radiation budget. In this study, a modified RF derivation approach based on Landsat images was used to quantify changes in the solar radiation budget induced by variations in surface albedo in Beijing from 2001 to 2009. Field radiation records from a Beijing meteorological station were used to identify changes in RF at the local level. There has been rapid urban expansion over the last decade, with the urban land area increasing at about 3.3 % annually from 2001 to 2009. This has modified three-dimensional urban surface properties, resulting in lower albedo due to complex building configurations of urban centers and higher albedo on flat surfaces of suburban areas and cropland. There was greater solar radiation (6.93 × 108 W) in the urban center in 2009 than in 2001. However, large cropland and urban fringe areas caused less solar radiation absorption. RF increased with distance from the urban center (less than 14 km) and with greater urbanization, with the greatest value being 0.41 W/m2. The solar radiation budget in urban areas was believed to be mainly influenced by urban structural changes in the horizontal and vertical directions. Overall, the results presented herein indicate that cumulative urbanization impacts on the natural radiation budget could evolve into an important driver of local climate change.
Yonghong Hu; Gensuo Jia; Christine Pohl; Xiaoxuan Zhang; John van Genderen. Assessing surface albedo change and its induced radiation budget under rapid urbanization with Landsat and GLASS data. Theoretical and Applied Climatology 2015, 123, 711 -722.
AMA StyleYonghong Hu, Gensuo Jia, Christine Pohl, Xiaoxuan Zhang, John van Genderen. Assessing surface albedo change and its induced radiation budget under rapid urbanization with Landsat and GLASS data. Theoretical and Applied Climatology. 2015; 123 (3-4):711-722.
Chicago/Turabian StyleYonghong Hu; Gensuo Jia; Christine Pohl; Xiaoxuan Zhang; John van Genderen. 2015. "Assessing surface albedo change and its induced radiation budget under rapid urbanization with Landsat and GLASS data." Theoretical and Applied Climatology 123, no. 3-4: 711-722.
Regional climate is influenced by land surface processes through energy exchange between land and atmosphere at various scales. The performance of climate model simulation is largely influenced by land cover parameterization, especially over areas that experience rapid change of land surface characterization. Accurate land cover datasets suited for climate modeling are urgently needed to improve model parameterization for better simulation. In this study, fused urban land cover datasets have been developed by combining multi-source urban land cover products based on cross-comparison and detailed validation from medium resolution images during recent decades. Fractional cover values at different spatial scales were aggregated from integrated land cover datasets to derive improved estimates of the urban extent of big cities in China. Urbanization in China as captured by the new dataset can be divided into steadily and rapidly increasing periods with the urban area increasing by 2.5 and 6.7 % per year, respectively. Rapid urbanization mostly happens in the urban fringe, especially in eastern China, with mass conversion of cropland and woodland to urban land. An improvement in climate model simulation could be achieved using the fused data applied in climate modeling for examining the impact of rapid urbanization on the regional climate.
Yonghong Hu; Gensuo Jia; Christine Pohl; Qiang Feng; Yuting He; Hao Gao; Ronghan Xu; John van Genderen; Jinming Feng. Improved monitoring of urbanization processes in China for regional climate impact assessment. Environmental Earth Sciences 2015, 73, 8387 -8404.
AMA StyleYonghong Hu, Gensuo Jia, Christine Pohl, Qiang Feng, Yuting He, Hao Gao, Ronghan Xu, John van Genderen, Jinming Feng. Improved monitoring of urbanization processes in China for regional climate impact assessment. Environmental Earth Sciences. 2015; 73 (12):8387-8404.
Chicago/Turabian StyleYonghong Hu; Gensuo Jia; Christine Pohl; Qiang Feng; Yuting He; Hao Gao; Ronghan Xu; John van Genderen; Jinming Feng. 2015. "Improved monitoring of urbanization processes in China for regional climate impact assessment." Environmental Earth Sciences 73, no. 12: 8387-8404.
The exploitation of multi-sensor images at pixel level is a widely implemented research field in Earth observation. In this context, image fusion plays an important role since it effectively combines complementary image content to enhance information contained in the individual datasets. This article presents an overview of the existing fusion techniques and their achievements for Earth scientists. This research started off with the compilation of a database on remote sensing image fusion journal publications. Research results were exploited, grouping the literature into different aspects of relevance. Six categories of information have been built according to the journal, the application, sensors that provided the images used in the case study, applied fusion techniques, areas of achievement, and on-going research highlighting unresolved questions and current science. This resulted in an overview on the categorisation of image fusion techniques, explanation of the various approaches used within a certain category, and description of particularities when dealing with the fusion of optical and radar imagery. Even though many researchers intend to find the best algorithm, there is a greater need to define an appropriate workflow prior to processing the imagery with the knowledge in all related fields, that is, remote sensing image fusion and the desired application to address the different aspects of error propagation.
Christine Pohl; John L. Van Van Genderen. Structuring contemporary remote sensing image fusion. International Journal of Image and Data Fusion 2015, 6, 3 -21.
AMA StyleChristine Pohl, John L. Van Van Genderen. Structuring contemporary remote sensing image fusion. International Journal of Image and Data Fusion. 2015; 6 (1):3-21.
Chicago/Turabian StyleChristine Pohl; John L. Van Van Genderen. 2015. "Structuring contemporary remote sensing image fusion." International Journal of Image and Data Fusion 6, no. 1: 3-21.