Remote sensing of environment. Professor Geoffrey Henebry, PhD 2022-10-18
Remote sensing of environment
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Remote sensing is the process of collecting and analyzing data about the Earth's surface and atmosphere from a distance, typically using aerial or satellite-based sensors. This technology has revolutionized our understanding of the environment and has many practical applications, such as monitoring natural disasters, predicting crop yields, and detecting land use changes.
One of the primary benefits of remote sensing is its ability to cover large areas quickly and efficiently. Traditional methods of collecting environmental data, such as on-the-ground measurements or aerial surveys, are time-consuming and costly, and are often limited in the extent of the area they can cover. Remote sensing allows us to gather data on a much larger scale, providing a comprehensive view of the environment that would otherwise be difficult to obtain.
Another advantage of remote sensing is its ability to provide data in real-time or near real-time. This is particularly useful in emergency situations, such as natural disasters or oil spills, where quick and accurate information is crucial for effective response and recovery efforts. Remote sensing can provide up-to-date information on the location and extent of the event, as well as its impact on the environment and human populations.
Remote sensing technology has also proven to be an invaluable tool for monitoring and predicting the impacts of climate change. It can provide data on changes in land cover, such as the expansion of urban areas or the loss of forests, as well as measurements of temperature, precipitation, and other climatic variables. This information helps scientists to better understand the causes and consequences of climate change and to develop strategies for mitigating its impacts.
In addition to its scientific applications, remote sensing has many practical uses in everyday life. It is used in agriculture to predict crop yields and optimize irrigation and fertilization practices. It is also used in forestry to monitor the health and growth of forests, and in natural resource management to identify and map land use changes.
Despite its many benefits, remote sensing is not without its limitations. One of the main challenges is the accuracy of the data collected. Sensors can be affected by atmospheric conditions, such as clouds and smoke, which can distort or block the data they collect. In addition, the resolution of the data can be limited, meaning that it may not be possible to distinguish between features on the ground that are very close together.
In conclusion, remote sensing is a powerful and versatile tool for studying and understanding the environment. Its ability to cover large areas quickly and efficiently, and to provide real-time or near real-time data, makes it an invaluable resource for scientists, policymakers, and resource managers. Despite its limitations, it has revolutionized our understanding of the Earth and its many complex systems, and will continue to play a vital role in the study of the environment in the future.
Remote Sensing of the Urban Environment: Beyond the Single City
All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. This type of paper provides an outlook on future directions of research or possible applications. Since 2018, Geoff has been with Michigan State University and is jointly appointed in the Department of Geography, Environment, and Spatial Sciences and the Center for Global Change and Earth Observations. Henebry earned his M. The focus is on environmental issues in light of climate change and human impacts.
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However, effective knowledge transfer or urban policy making necessitates high generalization ability of remote sensing studies. This special issue of Remote Sensing of Environment aims to review and synthesize the latest, cutting-edge advances in the remote sensing of the urban environment, with a special emphasis on promoting remote sensing generalization ability from multi-city studies. It may include sensors such as synthetic aperture radar for coastal subsidence monitoring, UAV based disaster damage and recovery assessment, high resolution multispectral data for ecosystem vulnerability and rehabilitation assessment, or hyperspectral data for biodiversity mapping and analysis. From 2005-2018, Geoff worked at South Dakota State University, where he served as Co-Director of the Geospatial Sciences Center of Excellence 2011-2018 and Professor in the Department of Natural Resource Management. Topics may cover a broad range of environments from coastal to forest and desert areas as well as applications, e.
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Professor Geoffrey Henebry, PhD
The special issue focuses on recent innovation and progresses on SDGSAT-1 and satellite remote sensing applications for SDGs. After an extended post-doc with the Konza Prairie Long Term Ecological Research project, Geoff held faculty positions at Kansas State University, Rutgers University-Newark, and the University of Nebraska-Lincoln. Aims Growing concern about the human impact on the environment has led to the development of new observation and analysis tools to tackle and monitor types, magnitudes, and rates of environmental changes. Satellite remote sensing, with its unparalleled advantage on providing macroscopic, dynamic and objective monitoring, brings unique approaches to supporting scientific assessment and policymaking by providing spatially and temporally significant information on multiple SDG indicators related to the Earth's surface, environment and resources. .
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Remote Sensing of Environment: Integrated Approaches
Supports open access This is a Transformative Journal. Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field:. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Methodology development or application findings have to accommodate diverse urban environments across cities or regions, which are not limited to one single city. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables.
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Environmental Remote Sensing
Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. Year Total published Subscription Open access 2017 465 407 58 2018 468 396 72 2019 505 406 99 2020 497 375 122 2021 468 306 162 Dr. The Feature Paper can be either an original research article, a substantial novel research study that often involves several techniques or approaches, or a comprehensive review paper with concise and precise updates on the latest progress in the field that systematically reviews the most exciting advances in scientific literature. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. The main highlight of this book is combination of several techniques such as satellite remote sensing, field spectroscopy, smart sensors, ground techniques for achieving an integrated method for the systematic monitoring of the environment.
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SDGSAT
Manuscript submission information: You are invited to submit your manuscript at any time before the submission deadline. As we are acting as guest editors for this issue, we would like to welcome contributions from various disciplines. Timely observations by Earth Observation EO satellite systems and improved mapping and analysis tools are enabling a better understanding of the ecological and environmental interactions that underlie our Earth systems, which is critical for developing sustainable solutions. He has studied land surface dynamics in North and South America, Central and Eastern Europe, European Russia, and Central Asia, particularly in grasslands and croplands, drylands and wetlands, and urbanizing areas. The Section Environmental Remote Sensing deals with emerging methods, technologies, and high-impact EO applications in real world contexts. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. We kindly invite you to consider submitting your full paper to this special issue.
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Please submit your manuscript before the submission deadline 31-Dec-2024. Remote sensing nowadays is characterized by large data volumes, diverse sensor types and platforms, high revisit frequencies, and improved sensing resolutions and accuracies. Please ensure you read the Guide for Authors before writing your manuscript. Numerous case studies have confirmed the success of remote sensing in individual urban environments. For more information, please refer to Feature Papers represent the most advanced research with significant potential for high impact in the field.
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Feature Papers are submitted upon individual invitation or recommendation by the scientific editors and undergo peer review prior to publication. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal. This book covers the latest developments in remote sensing theory and applications by numerous researchers, experts and collaborators of the Remote Sensing and Geo-Environment Lab of the Department of Civil Engineering and Geomatics of the Cyprus University of Technology. For any inquiries about the appropriateness of contribution topics, please contact Dr. Keywords: sustainable development goals OR SDGs AND satellite AND remote sensing OR remote sensing application AND Earth observation AND space technology Learn more about the benefits of publishing in a special issue: Interested in becoming a guest editor? Youngryel Ryu, PhD Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea Global ecology, Biometoeorology, Terrestrial carbon cycles, Water cycles, Land surface radiation balance, Canopy structure, Phenology, Evaporation, Photosynthesis, Canopy modeling View full biography Professor Yong Wang, PhD East Carolina University, Department of Geography Planning and Environment, Greenville, North Carolina, United States of America Synthetic aperture radar SAR imaging and application, Interferometric SAR InSAR application, LiDAR and morphological change of surface, Thin-cloud removal in optical data, Landuse and land cover type change Dr. Discover the benefits of guest editing a special issue and the valuable contribution that you can make to your field:.
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All articles published by MDPI are made immediately available worldwide under an open access license. This journal offers authors two options open access or subscription to publish their research and is actively committed to transitioning to a fully open access journal. Pablo Zarco-Tejada University of Melbourne, Faculty of Veterinary and Agricultural Sciences, Melbourne, Victoria, Australia hyperspectral remote sensing, stress detection, manned and Unmanned Aerial Vehicles UAV RPAS , thermal, water stress, nutrient stress, radiative transfer View full biography Di Long, PhD Tsinghua University, Department of Hydraulic Engineering, Beijing, China Remote sensing of hydrology, hydrological modeling and prediction particularly in ungauged basins over alpine regions, monitoring of surface water rivers, streams, lakes, reservoirs, runoff, etc. AERONET aerosol Agapiou air pollution Alexakis algorithm analysis application archaeological sites Asprokremmos Dam assessment atmospheric correction backscatter bands Choirokoitia classification cultural heritage sites Cyprus Cyprus University detection Diofantos G Environmental erosion estimation evapotranspiration Figure geophysical ground Hadjimitsis heat events hyperspectral IKONOS infrared International Journal irrigation Journal of Remote land cover Landsat ETM+ Larnaca Leaf Area Index LIDAR Limassol Mediterranean meteorological methodology Michaelides MODIS moisture monitoring multispectral NDVI neural network Nicosia observed PALSAR Panchromatic Papadavid Paphos Papoutsa parameters phenological pipeline pixel QuickBird reflectance values remote sensing techniques remotely sensed data retrieved sampling Sarris satellite data satellite imagery satellite images satellite remote sensing satellite sensors SEBAL Sensing of Environment soil spatial resolution spectral signatures Spectralon study area sunphotometer texture texture bands Themistocleous tion turbidity Tymvios urban heat island vegetation indices water leakages water pipe water quality wavelength. The prestigious journal Remote Sensing of Environment is currently running a special issue entitled " Remote Sensing of the Urban Environment: Beyond the Single City". . .
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