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Precipitable Water Vapor (PWV) is a good source to monitor precipitation. It is defined by the amount of water vapor present in atmosphere. Traditionally, radiosondes and microwave radiometers were used to derive PWV. However, these devices have poor temporal resolutions and high operational costs. Therefore, GPS signal delay is now widely used for such purposes. The main aim of this paper is to study...
The cloudbow structure is directly related to the retrieval of cloud droplet size distribution (droplet effective radius and effective variance). This study investigated the effect of the cloud optical thickness, ground surface albedo and the above-cloud absorbing dust layer on the cloudbow structure based on the modeled airborne directional polarimetric camera (DPC) measurements, which are simulated...
Three years radiosoundings measurement at China were inputted in the Salonen-Uppala cloud detection algorithm to distinguish cloud layers, and to estimate cloud liquid water content therein, then atmospheric transmittances of China at frequencies of the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) were estimated using MPM and Mie theory. The validation expressed a good...
Cloud detection is a key processing step before extracting information of earth surface from the earth observation data. Lots of schemes have been developed for cloud detection, static threshold method is the main method that is widely used in cloud detection. However, for the huge difference between different land objects, it is much difficult to find a proper threshold to detect the cloudy pixel...
An algorithm to simulate the reflectance of clouds using visible bands was developed based on the simplified radiative transfer equation and two assumptions. The assumptions and algorithm were evaluated using a Landsat 8 sub-image of 015/035 (path/row) acquired on 27 August 2013. The relationship of visible bands in clear regions was verified to be linear. The effects of clouds in visible bands were...
In this paper the results of multi-frequency (at 5.6GHz, 15GHz and 37GHZ) and polarization measurements of clear and cloudy sky apparent temperatures are presented, measured under various observation angles. The results have been obtained during the measurements carried out in Armenia from the measuring complex built under the framework of ISTC Projects A-872 and A-1524. The measurements were carried...
Surface based millimeter wave radar systems play a substantial role in remote sensing of clouds. A preliminary analysis of the results obtained from the algorithm developed for cloud classification is presented. Our aim is to classify different cloud types (drizzling, precipitating, Mixed Phase, Ice clouds and non-meteorological targets ) solely based on Ka-band radar data. A fuzzy logic technique...
Firstly, this study discusses long-term observations of aerosol chararacteristics over four typical SKYNET sites (Chiba, Fukuejima, Miyakojima, and Hedo) within Japan to clarify the seasonal dependent characteristics of aerosols of different origins and their impacts on atmospheric heat budget. Optically thicker aerosols with significant amount of coarse-mode aerosols are found in the spring season...
As a close proxy of the GOES-R Advanced Baseline Imager (ABI) instrument, the on-board 16-band Advanced Himawari Imager (AHI) brings an unprecedented opportunity to exercise the ABI algorithms developed for GOES-R in the STAR Algorithm Processing Framework (SAPF). STAR has been collaborating with JMA and NASA since AHI's post launch checkout and has been acquiring the full resolution AHI data form...
Polar lows (PLs), emerging over the sea ice edge, are studied using multisensor data information, surface analysis maps and reanalysis data. PLs over the Western (the Greenland, the Norwegian and the Barents Seas), and the Eastern (the Chukchi, the East Siberian and the Laptev Seas) parts of the Arctic are considered. It is shown that currently operating satellite instruments, taken separately, cannot...
In order to maximally make use of the limited capacities of storage and transmission, it's necessary for onboard computer to adaptively compress the cloud regions with lower quality compared with the regions without cloud cover. Therefore, the information processing unit needs to recognize the cloud regions before compress the image. To meet this requirement of satellite imaging payload, a novel approach...
Snow plays an important role in the global energy and water budgets, as a result of its high albedo, thermal and water storage properties. Snow is also the largest varying landscape feature of the Earth's surface. Snow cover influences several processes that occur at or near earth surfaces. The snow cover extent of the snowpack is an extremely useful snow hydrology and climate variable for a number...
Hyperspectral and LiDAR data, can provide plentiful information about the objects on the Earths surface. However there are some shortages for each of them, where hyperspectral sensor is easily influenced by cloud and difficult to distinguish different objects contained same materials, LiDAR cannot discriminate different objects which are similar in altitude. Fusion of these multi-source data for reliable...
Mapping vegetation in the tropics is of primary importance to assess its contribution to important ecosystem services. This implies to implement methods to capture the vegetation gradient that characterizes land cover in these regions. Linear Mixture Models have long been used to monitor this gradient. In the present study, we automatically unmixed six Landsat 8 images of a study area in the Republic...
The cloud causes the invalid observation from sensor aboard on satellite on cloudy day, which will corrupt the spatio-temporal continuity of the land surface parameters retrieved based on remote sensing, and prevent the fusing multi-source remote sensing data in the field of the quantitative remote sensing. Based on the requirement of quantitative remote sensing, this paper proposes an improved method...
Though, solar radiation data is not available in maximum weather stations, it is an important parameters for biogeochemical models hence there is an increasing demands of available energy data. The seasonal model described here can be used for a rough estimation of maximum available solar energy in nearby areas of the measuring station in clear sky condition with minimum calculation and efforts. Other...
An algorithm has been developed for retrieving instantaneous microwave land surface emissivity using brightness temperature and precipitable water vapor data. Unlike previous algorithms, the new technique does not need infrared land surface temperature as the input data, and overcomes the limitation of previous algorithms under cloudy conditions. Compared with the values from physical retrieval algorithm,...
Remote sensing image is one of the most important data source for geographic information system. In 2015, China has conducted a standard point approval mission to update and improve the results of the first geographic conditions census. Majority of the geographic information was extracted from optical remote sensing image of satellite. An overall planning technique was introduced to optimize the usage...
Water depth is necessary for shipping security, port and marine engineering construction and planning utilization of coastal zone and island. Traditional bathymetry methods can provide accurate measurements of the water depth. But remote sensing has characteristics such as speediness, synchronization, large area, high resolution and so on, and it can solve many problems which are hard to overcome...
To obtain downward longwave radiation (DLR) product at high resolution and good quality, a method of calculating global DLR was proposed. Global geostationary and polar-orbiting satellite observations were used to cover the whole world, and several DLR algorithms and two atmospheric datasets were combined used to satisfy different conditions. The global DLR at 5 km was produced using Multi-source...
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