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Introduction to Remote Sensing and GIS

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized-and sparse datasets of input variables enhanced and/or rescaled-to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more. Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic.

Prediction Models Exploiting Well-Log Information

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Geophysical Monograph Series

Distributed Acoustic Sensing in Borehole Geophysics Borehole geophysics involves measuring, imaging, and monitoring subsurface structures and activities by putting instruments into wellbores. Distributed acoustic sensing (DAS) technology is emerging as an effective and reliable tool in borehole geophysics because fiber-optic cables deployed at depth can produce high-quality data and images, even in harsh high-temperature and high-pressure environments. Distributed Acoustic Sensing in Borehole Geophysics is a comprehensive handbook on cutting-edge advances in borehole DAS technologies and their practical applications across geophysics. Volume highlights include: <ul><li>Summary of the evolution of DAS technologies and their primary applications</li><li>New developments in borehole DAS instrumentation and modeling</li><li>Examples of DAS data acquisition and processing in different contexts </li><li>Variety of imaging methods and techniques for integration of images with other data </li><li>Applications of borehole DAS systems, including monitoring earthquakes and hydraulic fracturing operations</li><li>Case studies of borehole DAS projects at diverse sites around the world, ranging from glaciers to geothermal fields</li></ul> The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Distributed Acoustic Sensing in Borehole Geophysics

Supervised Learning in Remote Sensing and Geospatial Science is an invaluable resource focusing on practical applications of supervised learning in remote sensing and geospatial data science. Emphasizing practicality, the book delves into creating labeled datasets for training and evaluating models. It addresses common challenges like data imbalance and offers methods for assessing model performance. This guide bridges the gap between theory and practice, providing tools and techniques for extracting actionable information from raw geospatial data. The book covers all aspects of supervised learning workflows, including preparing diverse remotely sensed and geospatial data inputs. It equips researchers, practitioners, and students with essential knowledge for applied mapping and modeling tasks, making it an indispensable reference for advancing geospatial science.

Supervised Learning in Remote Sensing and Geospatial Science

Drilling in Unconventional Formations

This book identifies air pollution in megacity areas as a serious environmental issue that calls for prompt countermeasures. The first book to compare air pollution in Mexican megacities to those in Japan, it examines air pollution trends for the past 50 years, mainly focusing on Mexico and Japan, but also including data from the US and China. It consists of 3 sections, discussing 1) air pollutants and formation mechanisms; 2) air pollution trends and contributing factors; and 3) Characteristics of air pollution in three Mexican Megacity Areas - Mexico City, Guadalajara and Monterrey. It also proposes co-beneficial countermeasure scenarios that can effectively improve regional and global atmospheric environmental conditions. Helping readers to understand air pollution formation mechanisms and countermeasure scenarios that are effective at both regional and global scales, the book appeals to researchers and graduate students in the field of atmospheric environmental science, as well as undergraduate science, engineering and social sciences students, and environmental administrative officers and anyone interested in our atmospheric environment.

Mexico and Japan

Urban Air Pollution

Wastewater Minimization and Re-Use

Deep Learning for Synthetic Aperture Radar Remote Sensing

Jedes Jahr wird die Öffentlichkeit von Berichten über Naturereignisse und deren Folgen für die betroffenen Menschen erschüttert: Der Tsunami am 26. Dezember 2004 ging als eine der größten Naturkatastrophen der Neuzeit in die Geschichte ein, in den nachfolgenden Jahren wurden in mehreren Ländern Europas Jahrhunderthochwasser gemeldet. Und dieser Tage beherrschen Schlagzeilen über das verheerende Erdbeben in Nepal unsere Nachrichten. Diese und weitere Beispiele sind Thema des vorliegenden Lese- und Lehrbuchs. Die Geographie ist durch das Zusammenwirken von physio- und humangeographischen Ansätzen wie keine andere Wissenschaft dazu prädestiniert, die vielfach miteinander verknüpften Problemlagen einer Katastrophe in ihren zahlreichen Facetten und Handlungsdimensionen umfassend zu "begreifen". Wissenschaftler aus beiden Bereichen verknüpfen in diesem Buch die naturwissenschaftlichen Fragen nach den Auslösern von Naturkatastrophen - etwa mit Blick auf geotektonische Vorgänge oder klimatische Prozesse - mit gesellschaftlichen Fragestellungen: Hier geht es um medizinische und soziale Probleme, um die Verwundbarkeit bestimmter Bevölkerungsgruppen und um die Einbettung dieser Aspekte in globale Wirtschaftsverflechtungen. Geographie und Katastrophenforschung gehören zu den wenigen Wissenschaften, welche unterschiedliche Maßstabsebenen von global bis lokal miteinander verknüpfen; sie betrachten damit die globale Umweltsituation und die ökologische Zukunft unseres Planeten ebenso wie lokale Problemstellungen. Das sich neu etablierende Themenfeld der Hazardforschung veranschaulicht, wie aktuelle Ereignisse mit langfristigen Entwicklungen in Beziehung stehen (Stichwort Global Change), und berücksichtigt dabei die Bewältigung ebenso wie auch die Prävention von Katastrophen.

Naturrisiken und Sozialkatastrophen

Geologie und Metallogenie der Lagerstätten im Erzgebirge - Krušné hory

Earth Observation

Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications explores a wide range of transformative data fusion techniques of Artificial Intelligence (AI) technologies applied to Google Earth Engine (GEE) techniques. It includes a wide range of scientific domains that can utilize remote sensing and geographic information systems (GIS) through detailed case studies. This book delves into the challenges of AI-driven tools and technologies for Earth observation data analysis, offering possible solutions and directly addressing current and upcoming needs within Earth observation. Google Earth Engine and Artificial Intelligence for Earth Observation: Algorithms and Sustainable Applications is a useful reference for geospatial scientists, remote sensing experts, and environmental scientists utilizing remote sensing to apply the latest AI techniques to data obtained from GEE for their research and teaching.

Algorithms and Sustainable Applications

Google Earth Engine and Artificial Intelligence for Earth Observation

The deep sea is one of humanity's last frontiers. For most of our history it has been a remote realm, invoking awe and terror as it lays shrouded in darkness. But here, where the light cannot reach, lies a strange, wonderful and breath-taking portal into Earth's past, teeming with scientific marvels and lessons for the future of life on this planet. In The Dark Frontier, marine microbiologist and expert deep-sea explorer Jeffrey Marlow plunges us into the unreachable realm and invites us into close-up encounters with its hidden brilliance. There are translucent shrimp that dance through sulfurous vents, crabs that stretch twelve feet from claw to claw and the eerie chalk-white towers of the 'Lost City'. Immersive and illuminating, Marlow's journeys heed warnings too: our reach is exceeding our grasp. We are irrevocably changing the deep sea before we even know it. This expansive book offers crucial and surprising insights into the birthplace of life on ancient Earth. It shows how life can thrive in even the most extreme conditions and expands our understanding of possibilities - and our responsibilities - on earth and beyond.

Unlocking the Secrets of the Deep Sea

The Dark Frontier

Applications of automated mineral analysis

Introduction to Remote Sensing and GIS

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