Artificial Intelligence Applied To Satellite Based Remote Sensing Data For Earth Observation
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Artificial Intelligence Applied To Satellite Based Remote Sensing Data For Earth Observation
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Author : Maria Pia Del Rosso
language : en
Publisher: IET
Release Date : 2021-09-14
Artificial Intelligence Applied To Satellite Based Remote Sensing Data For Earth Observation written by Maria Pia Del Rosso and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Computers categories.
This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.
Artificial Intelligence Techniques For Satellite Image Analysis
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Author : D. Jude Hemanth
language : en
Publisher: Springer Nature
Release Date : 2019-11-13
Artificial Intelligence Techniques For Satellite Image Analysis written by D. Jude Hemanth and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with Computers categories.
The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.
Artificial Intelligence Methods Applied To Urban Remote Sensing And Gis
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Author : Chang-Wook Lee
language : en
Publisher: Mdpi AG
Release Date : 2021-11-11
Artificial Intelligence Methods Applied To Urban Remote Sensing And Gis written by Chang-Wook Lee and has been published by Mdpi AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-11 with Science categories.
This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.
An Analysis Of The Effects Of Climate Change On Livestock
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Author : Food and Agriculture Organization of the United Nations
language : en
Publisher: Food & Agriculture Org.
Release Date : 2023-09-06
An Analysis Of The Effects Of Climate Change On Livestock written by Food and Agriculture Organization of the United Nations and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-06 with Science categories.
This technical report examines the connection between climate change and livestock, focusing on the impacts on livestock production systems. The study explores various methodologies from the literature and analyses their application in a practical test case in the Lao People's Democratic Republic. The assessment estimates direct and indirect effects of climate change on the livestock sector by focusing on three main methodologies retrieved from the scientific literature and applied to the specific case of Lao People's Democratic Republic. The results reveal significant effects of climate change on cattle and buffaloes, the main ruminant species in the country. The findings showed significant losses in Lao People's Democratic Republic production due to heat stress affecting dry matter intake. For instance, under the representative concentration pathway 2.6 scenario, the analysis estimated a 19 percent loss in meat production and a 18 percent loss in milk production by 2085. The thermal-humidity index, used as a proxy for milk production estimation, yielded similar results. On a positive note, the study revealed that the carrying capacity and the number of potential livestock units are expected to increase from 2020 to 2080, counteracting some of the negative effects of climate change induced by heat stress. The proposed methodologies can be combined to provide a comprehensive understanding of the current and future state of the livestock population and production. While the effects may vary in different regions and production systems, the report emphasizes the importance of implementing strategies to mitigate climate change impacts. Overall, this report provides crucial information for policymakers and agencies involved with the livestock sector to guide interventions and address the challenges posed by climate change.
Data Analytics And Artificial Intelligence For Earth Resource Management
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Author : Deepak Kumar
language : en
Publisher: Elsevier
Release Date : 2024-11-13
Data Analytics And Artificial Intelligence For Earth Resource Management written by Deepak Kumar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Science categories.
Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources. - Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management - Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management - Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging
Remote Sensing Handbook Volume I
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Author : Prasad S. Thenkabail
language : en
Publisher: CRC Press
Release Date : 2024-11-29
Remote Sensing Handbook Volume I written by Prasad S. Thenkabail and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Technology & Engineering categories.
Volume I of the Six Volume Remote Sensing Handbook, Second Edition, is focused on satellites and sensors including radar, light detection and ranging (LiDAR), microwave, hyperspectral, unmanned aerial vehicles (UAVs), and their applications. It discusses data normalization and harmonization, accuracies, and uncertainties of remote sensing products, global navigation satellite system (GNSS) theory and practice, crowdsourcing, cloud computing environments, Google Earth Engine, and remote sensing and space law. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science. Discusses and analyzes data from old and new generations of satellites and sensors. Provides comprehensive methods and approaches for remote sensing data normalization, standardization, and harmonization. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision-makers, and policymakers, will benefit from the expertise of the professionals featured in this book, and their extensive knowledge of new and emerging trends.
Advanced Computing
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Author : Deepak Garg
language : en
Publisher: Springer Nature
Release Date : 2022-02-07
Advanced Computing written by Deepak Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-07 with Computers categories.
This volume constitutes reviewed and selected papers from the 11th International Advanced Computing Conference, IACC 2021, held in December 2021. The 47 full papers and 4 short papers presented in the volume were thorougly reviewed and selected from 246 submissions. The papers are organized in the following topical sections: application of artificial intelligence and machine learning in healthcare; application of AI for emotion and behaviour prediction; problem solving using reinforcement learning and analysis of data; advance uses of RNN and regression techniques; special intervention of AI.
Advances In Machine Learning And Image Analysis For Geoai
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Author : Saurabh Prasad
language : en
Publisher: Elsevier
Release Date : 2024-04-26
Advances In Machine Learning And Image Analysis For Geoai written by Saurabh Prasad and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Science categories.
Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers and more.Advances in Machine Learning and Image Analysis for GeoAI provides graduate students, researchers and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research. - Covers the latest machine learning and signal processing techniques that can effectively leverage multimodal geospatial imagery at scale - Chapters cover a variety of algorithmic frameworks pertaining to GeoAI, including superresolution, self-supervised learning, data fusion, explainable AI, among others - Presents cutting-edge deep learning architectures optimized for a wide array of geospatial imagery
Earth Observation Open Science And Innovation
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Author : Christoph Aubrecht
language : en
Publisher:
Release Date : 2020-10-08
Earth Observation Open Science And Innovation written by Christoph Aubrecht and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-08 with Science categories.
Over the past decades, rapid developments in digital and sensing technologies, such as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process and exploit Earth Observation data from satellites.This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.