This volume focuses on how advances in both remote sensing and modelling can be brought together to improve our understanding of the behaviour of active volcanoes. It includes review papers, papers reporting technical advances and case studies showing how the integration of remote-sensing observations with models can be put to good use.
As governments and institutions work to ameliorate the effects of anthropogenic CO2 emissions on global climate, there is an increasing need to understand how land-use and land-cover change is coupled to the carbon cycle, and how land management can be used to mitigate their effects. This book brings an interdisciplinary team of fifty-eight international researchers to share their novel approaches, concepts, theories and knowledge on land use and the carbon cycle. It discusses contemporary theories and approaches combined with state-of-the-art technologies. The central theme is that land use and land management are tightly integrated with the carbon cycle and it is necessary to study these processes as a single natural-human system to improve carbon accounting and mitigate climate change. The book is an invaluable resource for advanced students, researchers, land-use planners and policy makers in natural resources, geography, forestry, agricultural science, ecology, atmospheric science and environmental economics.
This book contains 35 chapters written by experts in developing techniques for making aerial vehicles more intelligent, more reliable, more flexible in use, and safer in operation.It will also serve as an inspiration for further improvement of the design and application of aeral vehicles. The advanced techniques and research described here may also be applicable to other high-tech areas such as robotics, avionics, vetronics, and space.
Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
This book examines terahertz technology and its applications in atmospheric remote sensing. Terahertz waves are electromagnetic radiation between microwaves and infrared radiation in the electromagnetic spectrum. They have the capability of greater directivity, higher power density, higher resolution imaging, richer fingerprint spectrum, wider bandwidth and faster transmission rate. Such properties promise great potential for terahertz technology applications in many fields, particularly in the detection of substances and the exploration of space. The book begins with an introduction to the development of space terahertz remote sensing and the underlying theories. The next seven chapters cover the key equipment and critical technologies for terahertz remote sensing, including the terahertz radiometer and its calibration and receiver link; the terahertz reflector antenna and its tolerance analysis; remote sensing imagery; and space resolution enhancement of both oversampled and non-oversampled data. The final chapter presents the application of terahertz imaging technology in the field of security inspection. This title will serve as a valuable reference for academics, students and engineers in the fields of terahertz technology, space science and remote sensing. Professionals in atmospheric remote sensing and inspection imaging will also benefit from this book.
Oil palm cultivation is a significant contributor to the global agricultural industry, providing valuable resources for various products. While it has faced challenges, including concerns about deforestation and environmental degradation, it is crucial to understand the geographical distribution of oil palms to ensure responsible and sustainable management. This book introduces the application of geospatial technology to the palm oil industry, demonstrating how these tools can address key issues while promoting responsible practices. The topics discussed in the book aim to tackle challenges such as illegal deforestation and the monitoring of environmental impacts associated with oil palm cultivation. Key Features: The first book to explore the use of remote sensing and geospatial technologies for mapping and monitoring oil palm plantations Introduces cutting-edge techniques from the fourth industrial revolution, including the use of the Internet of Things (IoT), Artificial Intelligence, big data and analytics, block chain and 5G technology for effective oil palm tree monitoring Addresses current environmental concerns affecting the industry, including issues like floods, changes in precipitation, temperature, humidity, and El Niño events Explores the scientific aspects of promoting sustainability in oil palm developments and the responsible conversion of rainforests into oil palm plantations Provides a wealth of application data for early detection and continuous monitoring of environmental challenges. This book serves as an insightful resource for those interested in geospatial technologies and their positive impact on monitoring and mitigating environmental changes in the context of the palm oil industry.
In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.
