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This work was dedicated to validating an innovative scheme of combining ultra high resolution airborne photography and mobile laser scanning (MLS) for biotope mapping, which is a topic now widely highlighted for quantifying and monitoring environmental quality. The specific combination plan was to use the MLS data as the 3D references to enrich and calibrate the retrievals from the imagery, meanwhile...
Terrestrial LiDAR Scanning(TLS) technology can quickly acquire three-dimensional information of forest canopy with high precision. As a new technique of data collection, it has been gradually applied to characterize structural attributes such as plant area densities. This paper presented a ray-tracing method to simulate laser intersection with a single tree and retrieves the plant area index based...
The individual tree information is the most important parameter of biomass inversion. Recently, LiDAR has been widely and successfully applied in forest research, and it shows promise to map individual trees in complex and heterogeneous forests. Based on Airborne LiDAR point cloud, this paper uses local maximum filtering technique to extract the height and crown of individual tree of Qinghai spruce...
As aerial remote sensing becoming a more and more important way for obtaining high resolution data, an effective method for evaluate the remote sensing task should be provided. The shadow map technology is a process by which shadows are added to 3D computer graphics. As the shadows can be treated as the blind spots of the remote sensors, so the shadow map technology was integrated to the evaluation...
Small unmanned aerial systems (UAS) can be very useful for acquiring high resolution thermal imagery for many ecological applications. With these systems, routine ground sampling is important in order to calibrate the imagery and to understand unique environmental disturbances. Simple, accurate methods to sample surface temperature is needed. This paper introduces two methods for sampling ground surface...
We address the problem of efficient image matching for large, highly redundant photo collections with highly complex topologies, such as photos acquired by unmanned aerial vehicles (UAV), focusing on disaster monitoring. Our approach conducts a skeleton graph which simplifies the image topology with the consideration of image importance and topological relationship. We define the image with the highest...
To extract information about the Earth's surface from Earth Observation data, a key processing step is the separation of pixels representing clear-sky observations of land surface from observation influenced by cloud. This paper presents a new method used for MDOIS data over Tibetan plateau and desert. The method for cloud detecting based on the difference on band 6 (apparent reflectance of blue band)...
The crowning objective of this research are to analyze precipitation character of Cb for different dynamical characters in Huai river basin(HRB) with China's first operational geostationary meteorological satellite FengYun-2C (FY-2C) data. Firstly, 5 cloud patch dynamic parameters with respect to life stage and moving parameters are derived based on the Cb tracking method the author has proposed by...
National Institute of Meteorological Research at Korea Meteorological Administration (KMA/NIMR) has developed a mesoscale atmospheric motion vector (AMV) retrieval algorithm from Communication, Ocean and Meteorological Satellite (COMS) which is the first Korean geostationary satellite located in 128.2°E. The mesoscale AMVs retrieved from three images of 1 km resolution visible (0.67 µm). To filter...
Currently, most of the effective cloud detection algorithms utilize either temperature properties or reference image(s). Typically, the automatic cloud cover assessment (ACCA) algorithm for Landsat 7 ETM+ images detects cloudy pixels relying on the thermal channel (three times used in two passes). In another study, Fernando flags clouds through analyzing the reflectance distribution between the high...
Tropical cyclones generate powerful wind, torrential rainfall, high waves and damaging storm surge that affect coastal communities. Tracking and predicting cyclones is one of the most important tasks for meteorologists. In this study, we compare the hurricane/typhoon eye locations at the sea level observed by spaceborne Synthetic Aperture Radar (SAR) and its counterpart at the cloud level by the simultaneous...
Flood damage due to heavy rain is quite severe in Japan during the annual typhoon season, which causes death and serious destruction every year. The Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan started the operation of the X-band Multi-Parameter (MP) radar system in February, 2012, at 23 observation stations in Japan. Several services using the X-band MP radar data have...
The Western Puerto Rico area is subject to flooding due to sudden, extreme rainfall events, some of which fail to be detected by NOAA's NEXRAD radar. The use of new radars with higher spatial resolution and covering the low atmosphere are vital for flood forecasting efforts, and for studying and predicting atmospheric phenomena. Recently the University of Puerto Rico in Mayagüez initiated investigations...
Overpopulation, the rapid development of industrialization and the acceleration of urban expansion, all of these factors have changed the characteristics of underlying surface and atmospheric environment, especially in the urban area. The urban effect on regional climate changes in BTT regions was analyzed by the Regional Atmospheric Model System (RAMS). We simulate and analyze three days changes...
Aerosol Optical Thickness (AOT) retrieval over very bright surface is a great challenge because the surface contribution dominates the Top Of Atmosphere (TOA) signal. In this paper, we presented a method for AOT retrieval over snow-covered surface. For the first step, the surface is assumed to be a mixture between snow and ice. The main idea is that the ratio between nadir and forward observation...
The remote sensing methods for understanding physical phenomena are being used since the last 50 years. Satellite-based sensors and ground-based sun photometers provides quantitative and qualitative knowledge about the composition of elements within the Earth's atmosphere. One actual problem is the changes on the climate of different regions of the Earth; one of them is related to aerosol climate...
In recent years the satellite monitoring capabilities in particular to derive maps of aerosol optical depth (AOD) have increased tremendously. There are many aerosol retrieval algorithms for different satellites and sensors such as Dark-Target method (DT), Deep Blue, etc. In this paper, we used an improved approach called the Synergetic Retrieval of Aerosol Properties (SRAP) method to retrieve aerosol...
In this paper, management of multi-source heterogeneous disaster background data and fast reconstruction methods of 3D scene are proposed. 2D disasters background database system and 3D disaster visualization system are designed and implemented. By the shared metadata dimensions, integrated organization of disaster background data is realized. Based on multi-threaded pre-caching technology, fast scheduling...
A Mediterranean Dialogue Earth Observatory project is under implementation in Morocco. It is led by a group of experts from Turkey, Morocco and the USA.
With the rapid growth of users and data volume, the state-of-the-art remotely sensed databases have been posed on grand challenges by the online geospatial applications. They cannot provide low-latency retrieval of big remotely sensed data and fail to adapt for various access patterns from concurrent users. We propose an adaptive hierarchical caching scheme called RSCache for remotely sensed database...
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