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Author: Yakoub Bazi
Publisher: MDPI
ISBN: 3036509860
Category : Science
Languages : en
Pages : 438
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Book Description
The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.
Author: Yakoub Bazi
Publisher: MDPI
ISBN: 3036509860
Category : Science
Languages : en
Pages : 438
Get Book Here
Book Description
The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer—at least partially—such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.
Author:
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 582
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Book Description
Author:
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 592
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Book Description
Author: Geological Survey (U.S.)
Publisher:
ISBN:
Category :
Languages : en
Pages : 448
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Book Description
Author: Wafi Al-Fares
Publisher: Springer Science & Business Media
ISBN: 331900624X
Category : Science
Languages : en
Pages : 216
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Book Description
Although the development of remote sensing techniques focuses greatly on construction of new sensors with higher spatial and spectral resolution, it is advisable to also use data of older sensors (especially, the LANDSAT-mission) when the historical mapping of land use/land cover and monitoring of their dynamics are needed. Using data from LANDSAT missions as well as from Terra (ASTER) Sensors, the authors shows in his book maps of historical land cover changes with a focus on agricultural irrigation projects. The kernel of this study was whether, how and to what extent applying the various remotely sensed data that were used here, would be an effective approach to classify the historical and current land use/land cover, to monitor the dynamics of land use/land cover during the last four decades, to map the development of the irrigation areas, and to classify the major strategic winter- and summer-irrigated agricultural crops in the study area of the Euphrates River Basin.
Author: Gerhard Gerold
Publisher: Göttingen University Press
ISBN: 3863951387
Category :
Languages : en
Pages : 181
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Book Description
The Carbiocial Project investigates viable carbon-optimized land management strategies for maintaining tropical ecosystem services under land use change and changing climate conditions in Southern Amazonia – a hotspot of global change. The project aims at understanding the vital natural processes and socio-economic driving forces in the region and develops strategies to enhance and protect carbon stocks in the recently deforested agroscapes of Central/Northern Mato Grosso and South Pará. That is why Carbiocial analyzes and models soil, water and climate as well as agro-economics, social and political transformations. Based on detailed storylines, the project aims at identifying possible entry-points for a necessary change in local and regional production patterns, considering local livelihoods as well as the present national and global economic, legal and political situation. This book gives an overview of the first results of the multi-disciplinary Carbiocial Project by publishing the main presentations, held on the Carbiocial Status Conference, on October 7-8, 2013, in Cuiabá. In sixteen chapters the authors elucidate the project‘s current state of knowledge, illustrating adapted methods for regional modeling and promising strategies for the Amazon development.
Author: Juanjo Galan
Publisher: Springer
ISBN: 3319965085
Category : Political Science
Languages : en
Pages : 227
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Book Description
The book presents a unique example of integral planning at different scales and across different types of landscapes found on the outskirts of metropolitan areas. It features a sustainability-based plan to improve the evolution of the south-central area of the Calderona Mountain Range, Spain (Sierra Calderona). It is informed and driven by social, cultural, perceptual, sustainability and economic factors supported by a participative process. The plan addresses the frequent conflict between the management of natural and cultural values found in peri-urban areas and the strong pressure for transformation and public use. Incorporating new methodologies and graphical systems for regional and local planning, the plan provides a practical example of balanced and multidisciplinary planning, based on principles of sustainability, systems thinking, new governance and local adaptation. This is volume one of a two-volume series. It elaborates on regional analysis and diagnosis, and on the definition of strategies for the following themes: natural environment, agriculture and livestock farming, urban environment and wellbeing, infrastructures and mobility, cultural heritage, tourism and public use, landscape, sustainability, socio-demography, economic development and governance. The book is intended for planners and researchers from various disciplines, including urban planning, forestry, agriculture, cultural and touristic management, and sustainability studies.
Author: Graciela Metternicht
Publisher: Springer
ISBN: 3319718614
Category : Political Science
Languages : en
Pages : 125
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Book Description
This book reconciles competing and sometimes contradictory forms of land use, while also promoting sustainable land use options. It highlights land use planning, spatial planning, territorial (or regional) planning, and ecosystem-based or environmental land use planning as tools that strengthen land governance. Further, it demonstrates how to use these types of land-use planning to improve economic opportunities based on sustainable management of land resources, and to develop land use options that strike a balance between conservation and development objectives. Competition for land is increasing as demand for multiple land uses and ecosystem services rises. Food security issues, renewable energy and emerging carbon markets are creating pressures for the conversion of agricultural land to other uses such as reforestation and biofuels. At the same time, there is a growing demand for land in connection with urbanization and recreation, mining, food production, and biodiversity conservation. Managing the increasing competition between these services, and balancing different stakeholders’ interests, requires efficient allocation of land resources.
Author: Basil G. Savitsky
Publisher: Columbia University Press
ISBN: 9780231505017
Category : Nature
Languages : en
Pages : 290
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Book Description
Tropical habitats may contain more than a third of the world's plant and animal species; Costa Rica alone is home to one of the highest levels of biodiversity per unit area in the world, and stands at center stage in worldwide conservation efforts. Within such regions, the use of state-of-the-art digital mapping technologies—sophisticated techniques that are relatively inexpensive and accessible—represents the future of conservation planning and policy. These methods, which employ satellites to obtain visual data on landscapes, allow environmental scientists to monitor encroachment on indigenous territories, trace park boundaries through unmarked wilderness, and identify wildlife habitats in regions where humans have limited access. Focusing on the rich biodiversity of Costa Rica, the contributors demonstrate the use of geographic information systems (GIS) to enhance conservation efforts. They give an overview of the spatial nature of conservation and management and the current status of digital mapping in Costa Rica; a review of the basic principles behind digital mapping technologies; a series of case studies using these technologies at a variety of scales and for a range of conservation and management activities; and the results of the Costa Rican gap analysis project. GIS Methodologies for Developing Conservation Strategies provides powerful tools for those involved in decision-making about the natural environment, particularly in developing nations like Costa Rica where such technologies have not yet been widely adopted. For specialists in such areas as geography, conservation biology, and wildlife and natural resource management, the combination of conceptual background and case examples make the book a crucial addition to the literature.
Author: James Richard Anderson
Publisher:
ISBN:
Category : Land cover
Languages : en
Pages : 36
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Book Description
