12,651 research outputs found
Remote sensing utilization of developing countries: An appropriate technology
The activities of the Agency for international development were discussed. Regional and national training centers were established to create an understanding of the role and impact of remote sensing on the developing process. Workshops, training seminars, and demonstration projects were conducted. Research on application was carried out and financial and technical assistance to build or strengthen a country's capability were granted
Program on Earth Observation Data Management Systems (EODMS)
An assessment was made of the needs of a group of potential users of satellite remotely sensed data (state, regional, and local agencies) involved in natural resources management in five states, and alternative data management systems to satisfy these needs are outlined. Tasks described include: (1) a comprehensive data needs analysis of state and local users; (2) the design of remote sensing-derivable information products that serve priority state and local data needs; (3) a cost and performance analysis of alternative processing centers for producing these products; (4) an assessment of the impacts of policy, regulation and government structure on implementing large-scale use of remote sensing technology in this community of users; and (5) the elaboration of alternative institutional arrangements for operational Earth Observation Data Management Systems (EODMS). It is concluded that an operational EODMS will be of most use to state, regional, and local agencies if it provides a full range of information services -- from raw data acquisition to interpretation and dissemination of final information products
The relevance of ERTS-1 data to the state of Ohio
There are no author-identified significant results in this report
The 29950 Earth Resource Technology Satellite (ERTS-A) sensor data for mineral resource sector development and regional land use survey
There are no author-identified significant results in this report
Towards cost-efficient prospection and 3D visualization of underwater structures using compact ROVs
The deployment of Remotely Operated Vehicles (ROV) for underwater prospection and 3D visualization has grown significantly in civil applications for a few decades. The demand for a wide range of optical and physical parameters of underwater environments is explained by an increasing complexity of the monitoring requirements of these environments. The prospection of engineering constructions (e.g. quay walls or enclosure doors) and underwater heritage (e.g. wrecks or sunken structures) heavily relies on ROV systems. Furthermore, ROVs offer a very flexible platform to measure the chemical content of the water. The biggest bottleneck of currently available ROVs is the cost of the systems. This constrains the availability of ROVs to a limited number of companies and institutes. Fortunately, as with the recent introduction of cost-efficient Unmanned Aerial Vehicles on the consumer market, a parallel development is expected for ROVs. The ability to participate in this new field of expertise by building Do It Yourself (DIY) kits and by adapting and adding on-demand features to the platform will increase the range of this new technology.
In this paper, the construction of a DIY OpenROV kit and its implementation in bathymetric research projects are elaborated. The original platform contains a modified webcam for visual underwater prospection and a Micro ElectroMechanical System (MEMS) based depth sensor, allowing relative positioning. However, the performance of the standard camera is limited and an absolute positioning system is absent. It is expected that 3D visualizations with conventional photogrammetric qualities are limited with the current system. Therefore, modifications to improve the standard platform are foreseen, allowing the development of a cost-efficient underwater platform. Preliminary results and expectations on these challenges are reported in this paper
Problems in merging Earth sensing satellite data sets
Satellite remote sensing systems provide a tremendous source of data flow to the Earth science community. These systems provide scientists with data of types and on a scale previously unattainable. Looking forward to the capabilities of Space Station and the Earth Observing System (EOS), the full realization of the potential of satellite remote sensing will be handicapped by inadequate information systems. There is a growing emphasis in Earth science research to ask questions which are multidisciplinary in nature and global in scale. Many of these research projects emphasize the interactions of the land surface, the atmosphere, and the oceans through various physical mechanisms. Conducting this research requires large and complex data sets and teams of multidisciplinary scientists, often working at remote locations. A review of the problems of merging these large volumes of data into spatially referenced and manageable data sets is presented
Interpretation of remote sensing data in the Bayou LaFourche delta of south Louisiana
There are no author-identified significant results in this report
Horizontal accuracy assessment of very high resolution Google Earth images in the city of Rome, Italy
Google Earth (GE) has recently become the focus of increasing interest and popularity
among available online virtual globes used in scientific research projects, due to the
free and easily accessed satellite imagery provided with global coverage. Nevertheless,
the uses of this service raises several research questions on the quality and uncertainty
of spatial data (e.g. positional accuracy, precision, consistency), with implications for
potential uses like data collection and validation. This paper aims to analyze the
horizontal accuracy of very high resolution (VHR) GE images in the city of Rome
(Italy) for the years 2007, 2011, and 2013. The evaluation was conducted by using
both Global Positioning System ground truth data and cadastral photogrammetric
vertex as independent check points. The validation process includes the comparison of
histograms, graph plots, tests of normality, azimuthal direction errors, and the
calculation of standard statistical parameters. The results show that GE VHR imageries
of Rome have an overall positional accuracy close to 1 m, sufficient for deriving
ground truth samples, measurements, and large-scale planimetric maps
Multidisciplinary/regional resource surveys
Multidisciplinary applications of ERTS-1 imagery to inventory, monitoring, survey, and management of regional resources - Conferenc
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