Download or read book Monitoring Dynamics of Semi arid Forests with Multi sensor Time Series written by Philipp Gärtner and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Monitoring Ecosystem Dynamics in Semi arid Environments Using Multi sensor Earth observation written by Thomas Phillip Higginbottom and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Remote Sensing Time Series written by Claudia Kuenzer and published by Springer. This book was released on 2015-04-28 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises an outstanding variety of chapters on Earth Observation based time series analyses, undertaken to reveal past and current land surface dynamics for large areas. What exactly are time series of Earth Observation data? Which sensors are available to generate real time series? How can they be processed to reveal their valuable hidden information? Which challenges are encountered on the way and which pre-processing is needed? And last but not least: which processes can be observed? How are large regions of our planet changing over time and which dynamics and trends are visible? These and many other questions are answered within this book “Remote Sensing Time Series Analyses – Revealing Land Surface Dynamics”. Internationally renowned experts from Europe, the USA and China present their exciting findings based on the exploitation of satellite data archives from well-known sensors such as AVHRR, MODIS, Landsat, ENVISAT, ERS and METOP amongst others. Selected review and methods chapters provide a good overview over time series processing and the recent advances in the optical and radar domain. A fine selection of application chapters addresses multi-class land cover and land use change at national to continental scale, the derivation of patterns of vegetation phenology, biomass assessments, investigations on snow cover duration and recent dynamics, as well as urban sprawl observed over time.
Download or read book Proceedings Shrubland Ecosystem Dynamics in a Changing Environment written by Jerry R. Barrow and published by . This book was released on 1996 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings contains 50 papers including an overview of shrubland ecosystem dynamics in a changing environment and several papers each on vegetation dynamics, management concerns and options, and plant ecophysiology as well as an account of a Jornada Basin field trip. Contributions emphasize the impact of changing environmental conditions on vegetative composition especially in the Jornada Basin and Chihuahuan Desert but also in other parts of western North America and the world.
Download or read book General Technical Report INT written by and published by . This book was released on 1981 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Remote Sensing for Forest Monitoring written by Prem C. Pandey and published by John Wiley & Sons. This book was released on 2022-10-07 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Remote Sensing for Forest Monitoring An expert overview of remote sensing as applied to forests and other vegetation In Advances in Remote Sensing for Forest Monitoring, a team of distinguished researchers delivers an expansive and insightful discussion of the latest research on remote sensing technologies as they relate to the monitoring of forests, plantations, and other vegetation. The authors also explore the use of unmanned aerial vehicles and drones, as well as multisource and multi-sensor data – such as optical, SAR, LIDAR, and hyperspectral data. The book draws on the latest data and research to show how remote sensing solutions are being used in real-world settings. It offers contributions from researchers and practitioners from a wide variety of backgrounds and geographical regions to provide a diverse and global set of perspectives on the subject. Readers will also find: A thorough introduction to forest monitoring using remote sensing including recent advances in remote sensing technology Comprehensive explorations of sustainable forest management to enhance ecosystem services and livelihood security using a geospatial approach Case studies of monitoring the biochemical and biophysical parameters of forests, including carotene and xanthophyll content Practical advice on how to apply machine learning tools to remote sensing data Perfect for postgraduates, lecturers, and researchers in the fields of environmental science, forestry, and natural resource management, Advances in Remote Sensing for Forest Monitoring will also earn a place in the libraries of professionals and researchers working with remote sensing technology.
Download or read book Modelling the Productivity of Siberian Larch Forests from Landsat NDVI Time Series in Fragmented Forest Stands of the Mongolian Forest steppe written by Stefan Erasmi and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: The monitoring of the spatial and temporal dynamics of vegetation productivity is important in the context of carbon sequestration by terrestrial ecosystems from the atmosphere. The accessibility of the full archive of medium-resolution earth observation data for multiple decades dramatically improved the potential of remote sensing to support global climate change and terrestrial carbon cycle studies. We investigated a dense time series of multi-sensor Landsat Normalized Difference Vegetation Index (NDVI) data at the southern fringe of the boreal forests in the Mongolian forest-steppe with regard to the ability to capture the annual variability in radial stemwood increment and thus forest productivity. Forest productivity was assessed from dendrochronological series of Siberian larch (Larix sibirica) from 15 plots in forest patches of different ages and stand sizes. The results revealed a strong correlation between the maximum growing season NDVI of forest sites and tree ring width over an observation period of 20 years. This relationship was independent of the forest stand size and of the landscape's forest-to-grassland ratio. We conclude from the consistent findings of our case study that the maximum growing season NDVI can be used for retrospective modelling of forest productivity over larger areas. The usefulness of grassland NDVI as a proxy for forest NDVI to monitor forest productivity in semi-arid areas could only partially be confirmed. Spatial and temporal inconsistencies between forest and grassland NDVI are a consequence of different physiological and ecological vegetation properties. Due to coarse spatial resolution of available satellite data, previous studies were not able to account for small-scaled land-cover patches like fragmented forest in the forest-steppe. Landsat satellite-time series were able to separate those effects and thus may contribute to a better understanding of the impact of global climate change on natural ecosystems
Download or read book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing written by Ni-Bin Chang and published by CRC Press. This book was released on 2018-02-21 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Earth Observation for Land and Emergency Monitoring written by Heiko Balzter and published by John Wiley & Sons. This book was released on 2017-05-08 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earth Observation Science (EOS) is the study of the global Earth land-ocean-atmosphere system through observations. The principal tools for such studies are measurements from space since these provide the coverage of the planet that is necessary to capture the behaviour of the entire coupled system. In addition, surface observations, and measurements from aircraft, balloons and sounding rockets provide valuable contributors to what are now termed "integrated, global observing systems.” Coupled with models, the EOS measurement suites provide powerful tools for research into the factors controlling and changing the Earth system in which we live. The objectives of this book are to describe new methods and applications of satellite technology in the fields of land and emergency monitoring. It draws on new research outcomes from the European FP7 project GIONET (European Centre of Excellence in Earth Observation Research Training). GIONET combines industrial partners with universities and research institutes, and this book provides a perspective on Earth Observation applications that is motivated by the cross-fertilisation of both sectors. Hence, this book will find readers in both industry and academia. This book highlights a broad range of innovative uses of Earth Observation technology to support environmental management, decision making, crisis management and climate policies. It uses advanced concepts of multi-sensor image integration, multi-temporal analysis and synergies between data and models. This is a truly interdisciplinary subject that encompasses a range of applications in various fields which are discussed in detail throughout the text. If you are interested in remote sensing applications and looking for inspiration, this is the book for you.
Download or read book Phenological Research written by Irene L. Hudson and published by Springer Science & Business Media. This book was released on 2009-11-24 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact. A multidisciplinary science involving many branches of ecology, geography and remote sensing, phenology to date has lacked a coherent methodological text. This new synthesis, including contributions from many of the world’s leading phenologists, therefore fills a critical gap in the current biological literature. Providing critiques of current methods, as well as detailing novel and emerging methodologies, the book, with its extensive suite of references, provides readers with an understanding of both the theoretical basis and the potential applications required to adopt and adapt new analytical and design methods. An invaluable source book for researchers and students in ecology and climate change science, the book also provides a useful reference for practitioners in a range of sectors, including human health, fisheries, forestry, agriculture and natural resource management.
Download or read book Mapping Monitoring and Modeling Land and Water Resources written by Pravat Kumar Shit and published by CRC Press. This book was released on 2021-06-28 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The wide range of challenges in studying Earth system dynamics due to uncertainties in climate change and complex interference from human activities is creating difficulties in managing land and water resources and ensuring their sustainable use. Mapping, Monitoring, and Modeling Land and Water Resources brings together real-world case studies accurately surveyed and assessed through spatial modeling. The book focuses on the effectiveness of combining remote sensing, geographic information systems, and R. The use of open source software for different spatial modeling cases in various fields, along with the use of remote sensing and geographic information systems, will aid researchers, students, and practitioners to understand better the phenomena and the predictions by future analyses for problem-solving and decision-making.
Download or read book Major Douglas fir Habitat Types of Central Idaho written by Robert Wilbur Steele and published by . This book was released on 1995 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Comprehensive Remote Sensing written by Shunlin Liang and published by Elsevier. This book was released on 2017-11-08 with total page 3183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding
Download or read book Desertification and Rehabilitation written by Xian Xue and published by Frontiers Media SA. This book was released on 2022-08-05 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Monitoring Seasonal and Secondary Succession Processes in Deciduous Forests Using Near surface Optical Remote Sensing and Wireless Sensor Networks written by Cassidy J. Rankine and published by . This book was released on 2016 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this thesis is to address the need for improved monitoring of forest ecosystem dynamics in the context of anthropogenic global change by proposing the use of near-surface optical remote sensing approaches paired with emerging wireless sensor network (WSN) technologies in order to evaluate changing forest seasonality and succession patterns, specifically in the semi-arid tropics and sub-tropics. Climate change is expected to affect terrestrial ecosystems through bottom-up control of primary productivity by extending or decreasing growing season length in seasonally photosynthetic vegetation. Human land use imposes top-down control over ecosystems by modifying disturbance regimes, with subsequent ecosystem regeneration depending on land use policy and management. The interplay between bottom-up climate forces and top-down anthropogenic forces on tropical dry forest (TDF) ecosystem recovery and productivity is poorly understood and is an underlying theme in this thesis. As such, this thesis introduces and assesses the novel application of WSN technology for spatio-temporal micrometeorological characterization and near-surface optical remote sensing of deciduous broadleaf forest canopy photosynthetic dynamics. The results reveal major benefits as well as challenges in the synergistic use of optical in-situ and satellite observation platforms for monitoring leaf phenology and secondary succession processes in deciduous forests, with case studies from the boreal and tropical dry broadleaf forests. Chapter one reviews the motivations behind the methods and experiments presented in this thesis. Chapter two reveals how low-power wireless data transmission is influenced by seasonal changes in boreal forest leaf phenology and weather conditions to help improve WSN designs for forestry applications. Chapter three describes local meteorological drivers of leaf phenology in detail for a Brazilian TDF in the state of Minas Gerais, and further explores how sub-canopy climate moderation effects are influenced by secondary forest stand age and extreme drought seasonality in order to characterize TDF microclimatic ecosystem services and better understand drought risk factors for seedling establishment and tree recruitment in future TDFs. Chapter four investigates the correlations between remotely sensed and near-surface hyper-temporal observations of TDF phenology in the context of future change detection for climate driven shifts in TDF productivity, revealing significant limitations in MODIS vegetation greenness time series for phenology monitoring in TDFs. Finally, chapter five reviews the significance and main contributions of these experiments. The experimental results presented here may be specific to tropical dry and boreal forest ecosystems, but the methods and ideas apply to all forest ecosystems in order to improve environmental monitoring technologies and our understanding of vegetation seasonality and secondary forest succession in our rapidly changing global environment.
Download or read book Handbook of Himalayan Ecosystems and Sustainability Volume 1 written by Bikash Ranjan Parida and published by CRC Press. This book was released on 2022-11-22 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 1: Spatio-Temporal Monitoring of Forests and Climate is aimed to describe the recent progress and developments of geospatial technologies (remote sensing and GIS) for assessing, monitoring and managing fragile Himalayan ecosystems and their sustainability under climate change. It is a collective research contribution from renowned researchers and academicians working in the Hindu Kush Himalayan (HKH) mountain range. The Himalayas ecosystems have been facing substantial transformation due to severe environmental conditions, land transformation, forest degradation and fragmentation. The authors utilized satellite datasets and algorithms to discuss the intricacy of land use/land cover change, forest and agricultural ecosystems, canopy height estimation, above-ground biomass, wildfires, carbon sequestration, and landscape restoration. Furthermore, the potential impacts of climate change on ecosystems, biodiversity and future food and nutritional security are also addressed including the impact on the livelihood of people of the Himalayas. This comprehensive Handbook explains the advanced geospatial technologies for mapping and management of natural resources of the Himalayas. Key Features Explains multiple aspects of geospatial technologies for studying fragile Himalayan ecosystems and sustainability Focuses on the utility of interferometric synthetic aperture radar (SAR) modeling for canopy height Explain how remote sensing techniques are useful for deriving the above-ground biomass, gross primary productivity (GPP), and carbon fluxes Addresses how geospatial technologies are valuable for understanding vegetation dynamics, composition and landscape restoration due to shifts in timberline and forest fires Includes contributions from global professionals working in the HKH mountain range Readership The Handbook serves as a valuable reference for students, researchers, scientists, ecologists, agricultural scientists, meteorologists, decision makers and all others who wish to advance their knowledge on vegetation remote sensing considering climate change in the HKH region.
Download or read book Advanced Remote Sensing for Urban and Landscape Ecology written by Sk. Mustak and published by Springer Nature. This book was released on 2023-06-23 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the use of various remote sensing data such as microwave, hyperspectral and very high-resolution (VHR) satellite imagery; mapping techniques including pixel and object-based machine learning; and geostatistical modelling techniques including cellular automation, entropy and land fragmentation. Remote sensing plays a vital role in solving urban and environmental challenges at the landscape level. Globally, more than half of the urban population is facing severe environmental and social challenges, especially those relating to climate change, agricultural land encroachment, green infrastructure and environmental degradation, mobility due to rapid rural–urban transformation and anthropogenic interventions. Mapping and quantification of such threats at the landscape level are challenging for experts using traditional techniques; however, remote sensing technology provides diverse spatial data at a varying scale, volume and accessibility for mapping and modelling, and it also analyses challenges at urban and landscape levels. Together, they address challenges at urban and landscape levels to support the Sustainable Development Goals (SDGs).
