Superactive pump-and-probe LIDAR technology: biophysical insight into aquatic remote sensing

2001 ◽  
Author(s):  
A.M. Chekalyuk ◽  
F.E. Hoge ◽  
R.N. Swift
Keyword(s):  
Remote Sensing ◽  
Pump And Probe ◽  
Aquatic Remote Sensing ◽  
Insight Into

scholarly journals Remote Sensing Is Changing Our View of the Coast: Insights from 40 Years of Monitoring at Narrabeen-Collaroy, Australia

2018 ◽  
Vol 10 (11) ◽  
pp. 1744 ◽  
Author(s):  
Kristen Splinter ◽  
Mitchell Harley ◽  
Ian Turner
Keyword(s):  
Remote Sensing ◽  
Data Collection ◽  
Temporal Resolution ◽  
Monitoring Program ◽  
Google Earth ◽  
Airborne Lidar ◽  
Data Collection Program ◽  
Insight Into ◽  
Collection Program

Narrabeen-Collaroy Beach, located on the Northern Beaches of Sydney along the Pacific coast of southeast Australia, is one of the longest continuously monitored beaches in the world. This paper provides an overview of the evolution and international scientific impact of this long-term beach monitoring program, from its humble beginnings over 40 years ago using the rod and tape measure Emery field survey method; to today, where the application of remote sensing data collection including drones, satellites and crowd-sourced smartphone images, are now core aspects of this continuing and much expanded monitoring effort. Commenced in 1976, surveying at this beach for the first 30 years focused on in-situ methods, whereby the growing database of monthly beach profile surveys informed the coastal science community about fundamental processes such as beach state evolution and the role of cross-shore and alongshore sediment transport in embayment morphodynamics. In the mid-2000s, continuous (hourly) video-based monitoring was the first application of routine remote sensing at the site, providing much greater spatial and temporal resolution over the traditional monthly surveys. This implementation of video as the first of a now rapidly expanding range of remote sensing tools and techniques also facilitated much wider access by the international research community to the continuing data collection program at Narrabeen-Collaroy. In the past decade the video-based data streams have formed the basis of deeper understanding into storm to multi-year response of the shoreline to changing wave conditions and also contributed to progress in the understanding of estuary entrance dynamics. More recently, ‘opportunistic’ remote sensing platforms such as surf cameras and smartphones have also been used for image-based shoreline data collection. Commencing in 2011, a significant new focus for the Narrabeen-Collaroy monitoring program shifted to include airborne lidar (and later Unmanned Aerial Vehicles (UAVs)), in an enhanced effort to quantify the morphological impacts of individual storm events, understand key drivers of erosion, and the placing of these observations within their broader regional context. A fixed continuous scanning lidar installed in 2014 again improved the spatial and temporal resolution of the remote-sensed data collection, providing new insight into swash dynamics and the often-overlooked processes of post-storm beach recovery. The use of satellite data that is now readily available to all coastal researchers via Google Earth Engine continues to expand the routine data collection program and provide key insight into multi-decadal shoreline variability. As new and expanding remote sensing technologies continue to emerge, a key lesson from the long-term monitoring at Narrabeen-Collaroy is the importance of a regular re-evaluation of what data is most needed to progress the science.

Žemės stebėjimas iš kosmoso

2021 ◽  
Author(s):  
Justinas Kilpys ◽  
Laurynas Jukna ◽  
Edvinas Stonevičius ◽  
Rasa Šimanauskienė ◽  
Linas Bevainis
Keyword(s):  
Remote Sensing ◽  
Risk Management ◽  
Environmental Monitoring ◽  
Satellite Remote Sensing ◽  
Disaster Risk ◽  
Satellite Observations ◽  
Sensor Data ◽  
Earth Observations ◽  
The Earth ◽  
Insight Into

Title in English: Earth Observations from Space. There are more than 150 environmental satellites orbiting the Earth, and they are constantly monitoring its surface and the processes happening on it. This textbook offers an introduction to the physical concepts of satellite observations, describes how sensor data is transformed into information about the Earth’s surface and how it can be applied. The scientific background of satellite remote sensing is illustrated using examples from applications in agriculture, forestry, environmental monitoring, disaster risk management, and many other areas. Book provides insight into how satellite remote sensing is used to explore and monitor natural and anthropocentric processes on the Earth and serves as introduction to the practical remote sensing.

scholarly journals Snow-stratification investigation on an Antarctic ice stream with an X-band radar system

1991 ◽  
Vol 37 (127) ◽  
pp. 323-325 ◽  
Author(s):  
Richard R. Forster ◽  
Curt H. Davis ◽  
Timothy W. Rand ◽  
Richard K. Moore
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Microwave Remote Sensing ◽  
Snow Accumulation ◽  
Radar System ◽  
Accumulation Rates ◽  
X Band ◽  
Local Topography ◽  
Cw Radar ◽  
Insight Into

AbstractAn X-band FM-CW radar was used to determine the feasibility of observing annual snow-accumulation layers in Antarctica with a high-resolution inexpensive radar system. The formation of layering boundaries, their resultant electromagnetic discontinuity and their detection by reflected energy are presented. Large returns from depths corresponding to reasonable positions for annual layers were found. The average accumulation rates calculated from the radar returns agree with those measured in a previous pit study done in the same area. The detection of the annual accumulation layers with this system implies a simple, inexpensive mobile radar could be used to profile large areas allowing the distorting effects of local topography to be removed.This type of system with a concurrent pit study could provide insight into the effect of sub-surface strata on spaceborne or airborne microwave remote sensing.

scholarly journals Assessment of rangeland condition

2020 ◽  
Vol 29 (1) ◽  
pp. 150-156
Author(s):  
Batbileg Bayaraa ◽  
Byambasuren Damdin ◽  
Ser-Od Baatar
Keyword(s):  
Remote Sensing ◽  
Land Management ◽  
Steppe Zone ◽  
Forest Steppe ◽  
Quantitative Methodology ◽  
Sustainable Land Management ◽  
Remote Sensing Technique ◽  
Rangeland Monitoring ◽  
Rangeland Condition ◽  
Insight Into

There is a substantial gap in the studies on classifications of rangeland condition in the Mongolian context. To fill this gap, this study aimed at assessing the condition and changes of rangeland in the forest-steppe zone in Mongolia with the use of remote sensing technique. The Bornuur soum of Tuv aimag in Mongolia was selected as the study area. A quantitative methodology with remote sensing tool was employed to assess rangeland condition. The results of the study showed an overall accuracy of 73.9%. The study provided an insight into possible improving methodology of rangeland monitoring, sustainable land management as well as environmental studies. Бэлчээрийн төлөв байдлыг үнэлэх зарим арга Монгол орны хувьд зайнаас тандан судлалын арга технологийг ашиглан газрын бүрхэвч болон газар ашиглалтын ангилал, өөрчлөлтийг үнэлэх судалгаа түгээмэл байгаа ч тус аргыг ашиглан бэлчээрийн төлөв байдлыг үнэлсэн судалгаа ховорхон хийгдсэн байна. Иймээс ойт хээрийн бүс болох Төв аймгийн Борнуур сумын жишээгээр зайнаас тандах аргаар бэлчээрийн төлөв байдлыг n=700 цэгийн хээрийн судалгааг ашиглан үнэлсэн. Судалгааны үр дүнг хээрийн хэмжилтийн мэдээгээр үнэлэхэд таарцын үнэлгээ нь 73.9% гарсан нь цаашид бэлчээрийн төлөв байдлын судалгаанд ашиглах боломжтойг харуулж байна. Цаашид тус ангиллын аргыг улам сайжруулан бэлчээрийн төлөв байдлын үнэлгээ, мониторинг, тогтвортой газрын менежмент болон байгаль орчны судалгаанд хэрэглэж болно.  Түлхүүр үг: ургамлын индекс, ландсат хиймэл дагуулын мэдээ

Impact of Assimilating PECAN Profilers on the Prediction of Bore-Driven Nocturnal Convection: A Multiscale Forecast Evaluation for the 6 July 2015 Case Study

2020 ◽  
Vol 148 (3) ◽  
pp. 1147-1175 ◽  
Author(s):  
Hristo G. Chipilski ◽  
Xuguang Wang ◽  
David B. Parsons
Keyword(s):  
Remote Sensing ◽  
Temporal Frequency ◽  
Objective Assessment ◽  
Successful Prediction ◽  
Physical Insight ◽  
In Situ Observations ◽  
Using Data ◽  
Insight Into

Abstract Using data from the 6 July 2015 PECAN case study, this paper provides the first objective assessment of how the assimilation of ground-based remote sensing profilers affects the forecasts of bore-driven convection. To account for the multiscale nature of the phenomenon, data impacts are examined separately with respect to (i) the bore environment, (ii) the explicitly resolved bore, and (iii) the bore-initiated convection. The findings from this work suggest that remote sensing profiling instruments provide considerable advantages over conventional in situ observations, especially when the retrieved data are assimilated at a high temporal frequency. The clearest forecast improvements are seen in terms of the predicted bore environment where the assimilation of kinematic profilers reduces a preexisting bias in the structure of the low-level jet. Data impacts with respect to the other two forecast components are mixed in nature. While the assimilation of thermodynamic retrievals from the Atmospheric Emitted Radiance Interferometer (AERI) results in the best convective forecast, it also creates a positive bias in the height of the convectively generated bore. Conversely, the assimilation of wind profiler data improves the characteristics of the explicitly resolved bore, but tends to further exacerbate the lack of convection in the control forecasts. Various dynamical diagnostics utilized throughout this study provide a physical insight into the data impact results and demonstrate that a successful prediction of bore-driven convection requires an accurate depiction of the internal bore structure as well as the ambient environment ahead of it.

scholarly journals Snow-stratification investigation on an Antarctic ice stream with an X-band radar system

1991 ◽  
Vol 37 (127) ◽  
pp. 323-325 ◽  
Author(s):  
Richard R. Forster ◽  
Curt H. Davis ◽  
Timothy W. Rand ◽  
Richard K. Moore
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Microwave Remote Sensing ◽  
Snow Accumulation ◽  
Radar System ◽  
Accumulation Rates ◽  
X Band ◽  
Local Topography ◽  
Cw Radar ◽  
Insight Into

AbstractAn X-band FM-CW radar was used to determine the feasibility of observing annual snow-accumulation layers in Antarctica with a high-resolution inexpensive radar system. The formation of layering boundaries, their resultant electromagnetic discontinuity and their detection by reflected energy are presented. Large returns from depths corresponding to reasonable positions for annual layers were found. The average accumulation rates calculated from the radar returns agree with those measured in a previous pit study done in the same area. The detection of the annual accumulation layers with this system implies a simple, inexpensive mobile radar could be used to profile large areas allowing the distorting effects of local topography to be removed.This type of system with a concurrent pit study could provide insight into the effect of sub-surface strata on spaceborne or airborne microwave remote sensing.

scholarly journals Living up to the Hype of Hyperspectral Aquatic Remote Sensing: Science, Resources and Outlook

2021 ◽  
Vol 9 ◽  
Author(s):  
Heidi M. Dierssen ◽  
Steven G. Ackleson ◽  
Karen E. Joyce ◽  
Erin L. Hestir ◽  
Alexandre Castagna ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Survey Methods ◽  
Rapid Development ◽  
Hyperspectral Remote Sensing ◽  
Infrared Light ◽  
Electromagnetic Spectrum ◽  
Full Spectrum ◽  
On Demand ◽  
Resource Managers ◽  
Aquatic Remote Sensing

Intensifying pressure on global aquatic resources and services due to population growth and climate change is inspiring new surveying technologies to provide science-based information in support of management and policy strategies. One area of rapid development is hyperspectral remote sensing: imaging across the full spectrum of visible and infrared light. Hyperspectral imagery contains more environmentally meaningful information than panchromatic or multispectral imagery and is poised to provide new applications relevant to society, including assessments of aquatic biodiversity, habitats, water quality, and natural and anthropogenic hazards. To aid in these advances, we provide resources relevant to hyperspectral remote sensing in terms of providing the latest reviews, databases, and software available for practitioners in the field. We highlight recent advances in sensor design, modes of deployment, and image analysis techniques that are becoming more widely available to environmental researchers and resource managers alike. Systems recently deployed on space- and airborne platforms are presented, as well as future missions and advances in unoccupied aerial systems (UAS) and autonomous in-water survey methods. These systems will greatly enhance the ability to collect interdisciplinary observations on-demand and in previously inaccessible environments. Looking forward, advances in sensor miniaturization are discussed alongside the incorporation of citizen science, moving toward open and FAIR (findable, accessible, interoperable, and reusable) data. Advances in machine learning and cloud computing allow for exploitation of the full electromagnetic spectrum, and better bridging across the larger scientific community that also includes biogeochemical modelers and climate scientists. These advances will place sophisticated remote sensing capabilities into the hands of individual users and provide on-demand imagery tailored to research and management requirements, as well as provide critical input to marine and climate forecasting systems. The next decade of hyperspectral aquatic remote sensing is on the cusp of revolutionizing the way we assess and monitor aquatic environments and detect changes relevant to global communities.

scholarly journals Noise Issues Prevailing in Various Types of Medical Images

2018 ◽  
Vol 11 (3) ◽  
pp. 1227-1237 ◽  
Author(s):  
Bhawna Goyal ◽  
Ayush Dogra ◽  
Sunil Agrawal ◽  
B.S. Sohi
Keyword(s):  
Remote Sensing ◽  
Medical Imaging ◽  
Image Denoising ◽  
Prior Information ◽  
Medical Images ◽  
Natural Images ◽  
Imaging Modalities ◽  
Basic Definition ◽  
Remote Sensing Images ◽  
Insight Into

The current literature documents a plethora of image denoising techniques in the fields of medical imaging, remote sensing, biometrics, surveillance and vegetation mapping. Therefore it is important to have brief insight into various types of noises in different type of images, for instance medical images, remote sensing images and natural images. This article encompasses the basic definition, history, usage and type of noise affecting some of the major types of imaging modalities. Besides this a brief discussion on the type of noise prevailing in remote sensing and natural images is also given. While designing an effective image denoising algorithm, one needs to be acquainted with the prior information about the noise prevalent in various types of images. Further, a brief idea about the basic principle, outlook, contrast levels and application of medical imaging modalities has also been presented in the context of this article.­­­­­­

scholarly journals Multi-Criteria Analysis Using Remote Sensing and GIS: Insight into Groundwater Potential of the Fissured Aquifers in the Liptako Socle (Southwestern Niger)

2021 ◽  
Vol 13 (11) ◽  
pp. 881-899
Author(s):  
Maman Sani Abdou Babaye ◽  
Karimou Dia Hantchi ◽  
Ibrahim Wagani ◽  
Boukari Issoufou Ousmane ◽  
Issoufou Sandao
Keyword(s):  
Remote Sensing ◽  
Groundwater Potential ◽  
Remote Sensing And Gis ◽  
Multi Criteria Analysis ◽  
Insight Into

On: “A new insight into the reciprocity principle” (Børge Arntsen and José M. Carcione, GEOPHYSICS, 65, 1604–1612).

Geophysics ◽  
2001 ◽  
Vol 66 (3) ◽  
pp. 973-975
Author(s):  
Adrianus T. de Hoop
Keyword(s):  
Remote Sensing ◽  
Seismic Data ◽  
Present Author ◽  
Optimization Techniques ◽  
Seismic Data Processing ◽  
Reciprocity Principle ◽  
Inversion Methods ◽  
Marine Seismic ◽  
And Inversion ◽  
Insight Into

Reciprocity is an important property of elastodynamic, electromagnetic, and acoustic wavefields. Combined with optimization techniques, reciprocity theorems can be regarded as providing the basic ingredients to imaging and inversion methods in geophysical exploration and remote sensing (de Hoop, M. V. and de Hoop, A. T., 2000). Furthermore, reciprocity serves as the basis for the elimination procedures of surface‐related multiples in marine seismic data processing (Fokkema and van den Berg, 1993). In view of all this, a thorough and elucidating discussion on the configurations to and the conditions under which reciprocity applies, and what reciprocity leads to, like the recent paper by Arnsten and Carcione (2000), serves a useful purpose. In this paper, also a number of interesting applications are worked out in detail. The aim of this discussion is to indicate briefly how some of the results obtained in that paper are related to the ones that the present author has presented in de Hoop (1995), a reference that does not appear in Arntsen and Carcione (2000).

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