2 edition of state of the art of modeling millimeter-wave remote sensing of the environment found in the catalog.
state of the art of modeling millimeter-wave remote sensing of the environment
by US Army Corps of Engineers, Cold Regions Research and Engineering Laboratory, NTIS [distributor in Hanover, NH, Springfield, VA
Written in English
|Series||Special report -- 96-25, Special report (Cold Regions Research and Engineering Laboratory (U.S.)) -- 96-25.|
|Contributions||Cold Regions Research and Engineering Laboratory (U.S.)|
|The Physical Object|
|Pagination||iii, 27 p. ;|
|Number of Pages||27|
Urban Remote Sensing: Monitoring, Synthesis, and Modeling in the Urban Environment (Edited by Xiaojun Yang, John Wiley & Sons, ) Urban Remote Sensing is a ‘state-of-the-art’ review of the latest developments in the subject. It examines how the new concepts, technologies and methods in remote sensing can be innovatively used to solve. Sorghum is among the top five cereals and one of the key crops in global food security efforts. Sorghum is a resilient crop under high-stress environments, ensuring productivity and access to food when other crops fail. Scientists see the potential of sorghum as a main .
Remote sensing is the examination of an area from a significant distance. It is used to gather information and imaging remotely. This practice can be done using devices such as cameras placed on the ground, ships, aircraft, satellites, or even : Amanda Briney. Its contributions span the natural and the social sciences, and apply state-of-the-art techniques for understanding the earth: satellite remote sensing, geographic information systems, modeling, and advanced computing. It brings together detailed case studies, .
Integrating the latest remote sensing and hydrology modeling technology, RSS provides state of the art flood inundation modeling and forecasting. RSS is a leader in advancing millimeter-wave interferometry for topography and velocity mapping. Our expertise in solid-state radar design and digital subsystem technology is enabling a new. Pervasive sensing provides a new paradigm for monitoring, modeling and control of natural and infrastructure systems that affect the environment. CENSAM aims to create a centre of excellence in environmental sensing and modeling that will demonstrate the importance of pervasive sensing through applications in the well managed urban environment.
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Atmospheric Remote Sensing by Microwave Radiometry. Is a state-of-the-art volume on remote sensing of the atmosphere by microwave techniques. The focus of the books is on the varied applications of this approach for the purpose of determining atmospheric properties.
Thoroughly interdisciplinary, RSE publishes on terrestrial, oceanic and atmospheric sensing. The emphasis of the journal is on biophysical and quantitative approaches to remote sensing at local to global scales. Areas of interest include, but are not necessarily restricted to: Agriculture, forestry and range.
This book presents a unique collection of state-of-the-art contributions by international remote sensing experts focussing on methodologies to extract information about urban areas from Synthetic Aperture Radar (SAR) data.
SAR is an active remote sensing technique capable to gather data independently from sun light and weather conditions. Features modern research and methodology on the spread of infectious diseases and showcases a broad range of multi-disciplinary and state-of-the-art techniques on geo-simulation, geo-visualization, remote sensing, metapopulation modeling, cloud computing, and pattern analysis Given the ongoing risk of infectious diseases worldwide, it is.
Bio-optical Modeling and Remote Sensing of Inland Waters presents the latest developments, state-of-the-art, and future perspectives of bio-optical modeling for each optically active component of inland waters, providing a broad range of applications of water quality monitoring using remote sensing.
Rather than discussing optical radiometry. Features modern research and methodology on the spread of infectious diseases and showcases a broad range of multi-disciplinary and state-of-the-art techniques on geo-simulation, geo-visualization, remote sensing, metapopulation modeling, cloud computing, and pattern analysis.
Remote Sensing of Environment serves the remote sensing community with the publication of results on the theory, science, applications, and technology of remote sensing of Earth Resources and Environment. Thoroughly interdisciplinary, RSE publishes on terrestrial, oceanic and atmospheric sensing.
Remote Sensing Image Scene Classification: Benchmark and State of the Art This paper reviews the recent progress of remote sensing image scene classification, proposes a large-scale benchmark dataset, and evaluates a number of state-of-the-art methods using the proposed by: (1) Detecting hydrological and other related changes using state-of-the-art remote sensing techniques; (2) Mapping eco-hydrological and hydrological processes and their driving factors using large samples and high-resolution datasets.
Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention. During the past years, significant efforts have been made to develop various datasets or present a variety of approaches for scene classification from remote sensing images.
However, a systematic review of the literature concerning datasets and Cited by: The state of the art of modeling millimeter-wave remote sensing of the environment Author: Kevin O'Neill ; Cold Regions Research and Engineering Laboratory (U.S.).
We report on the development of a passive millimeter-wave (MMW) imager for remote sensing, and the comparison of the experimentally acquired images with the theoretical images from our MMW scene simulator. The imager has an aperture diameter of m, and the detector and the imaging optics are mechanically raster-scanned over the scene to form an image.
In this context this theme issues tries to review and document recent developments in photogrammetry, remote sensing and spatial information sciences in the form of state-of-the-art papers in research, development and operational use.
State-of-the-art dense image matching (DIM) algorithms provide the ability to automate this process and create digital surface models (DSMs) that are much more detailed than ones obtained using image matching techniques developed a dozen years ago. Abstract Big climate data are being gathered mainly from remote sensing observations, in situ observations, and climate model simulations.
State-of-the-art remote sensing techniques are the most efficient and accurate approaches for monitoring large-scale variability of global climate and environmental changes. State-of-the-art remote-sensing techniques applicable to the investigation of ice formation and evolution are described.
Ground-based and spaceborne measurements with lidar, radar and radiometric. Remote Sensing Applications in Environmental Research is the basis for advanced Earth Observation (EO) datasets used in environmental monitoring and research.
Now that there are a number of satellites in orbit, EO has become imperative in today’s sciences, weather and natural disaster prediction. Microwave and millimeter-wave remote sensing techniques are fast becoming a necessity in many aspects of security as detection and classification of objects or intruders becomes more difficult.
This groundbreaking resource offers you expert guidance in this burgeoning by: Bio-optical Modeling and Remote Sensing of Inland Waters presents the latest developments, state-of-the-art, and future perspectives of bio-optical modeling for each optically active component of inland waters, providing a broad range of applications of water quality monitoring using remote sensing.
Rather than discussing optical radiometry theories, the authors explore the applications of. Book Description. Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control.
It also discusses their applications for evaluation of natural. Remote Sensing for Sustainability introduces the current state of the art remote sensing knowledge integral for monitoring the world’s natural resources and environments, managing exposure to natural disasters and man-made risks, and helping understand the sustainability and productivity of natural ecosystems.This book presents state-of-the-art signal processing and exploitation algorithms that address three key challenges within the context of modern optical remote sensing: (1) Representation and visualization of high dimensional data for efficient and reliable transmission, storage and interpretation; (2) Statistical pattern classification for.Remote Sensing of Environment serves the remote sensing community with the publication of scientific and technical results on theory, experiments, and applications of remote sensing of Earth.