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Hail is one of the frequent meteorological disasters all over the world. In order to reduce its economic losses, the prediction of hail cloud has been studied deeply in various countries. Based on the overseas and home experiences, an effective hail cloud recognition model was proposed, which is mainly calculated from the morphological characteristics of the hail and the basic reflectivity factor...
Cloud and cloud shadow cover on satellite images limit remote sensing and geo-information systems (GIS) applications in all application areas, especially for change detection and time series analyses. A novel method of cloud and cloud shadow removal called Multitemporal Cloud Removal (MCR) is proposed in this paper. The method has main steps: (1) radiometric correction, (2) cloud and cloud shadow...
The National Ecological Observatory Network (NEON) remote sensing component is tasked with collecting high resolution imaging spectrometer data, discrete and waveform lidar data, and high-resolution digital camera data of the NEON sites at or near peak greenness. Due to the passive nature of the utilized imaging spectrometer and digital camera, it is of paramount important to collect the desired remote...
A dust storm detection algorithm for NPP VIIRS data is proposed in this paper. The pixel dataset includes a variety of typical feature types, such as dust over different surface type, thick and thin clouds, vegetation, Gobi, ice/snow, etc. were collected and the distribution of the reflectance and brightness temperature were analyzed, based on which, a dust detection algorithm was generated. Multi-temporal...
With the assumption that spectral characteristics of coastal band (Band 1) and blue band (Band 2) of Landsat-8 were similar in a cloud-free area, an algorithm to detect thin clouds was derived. The assumption and algorithm was evaluated using Landsat-8 data of p14/r36 acquired on 1 April 2014. First, the assumed spectral similarity of Bands 1 and 2 was validated in the cloud-free area. The similarity...
Land surface emissivity, Land Surface Temperature (LST), and Upwelling Longwave radiation (LWUP) are critical parameters for studying the energy and water balance between the atmosphere and land surfaces. Due to the lack of reliable observations, a constant emissivity value or very simple parameterizations are adopted in land surface modeling. Retrieval of time-series dynamic surface emissivity is...
This paper proposes a unified method to detect a cloud cover and to remove thin clouds from multispectral satellite images. Unlike conventional methods, the variability of a cloud spectrum is taken into account. To estimate multiple spectra of a cloud, the method first identifies probable cloud pixels and then forms their clusters each of which has a representative spectrum, both based on spatial-spectral...
This paper discusses results from 12 months of a Round Robin exercise aimed at the inter-comparison of different cloud detection algorithms for Proba-V. Clouds detection is a critical issue for satellite optical remote sensing, since potential errors in cloud masking directly translates into significant uncertainty in the retrieved downstream geophysical products. Cloud detection is particularly challenging...
The main goal of this paper is to present the automatic pipeline designed at IGN-France to produce automatic large-scale cloud-free orthomosaics from multiple Spot 6/7 and Pléiades-HR satellite images. Our pipeline is composed of three steps: the radiometric harmonisation of satellite images, the automatic production of cloud masks and the stitching procedure. Our evaluation shows that our pipeline...
Studies on cloud microphysics, cloud intra structure on vertical/3D scale, its evolution in time and space in real time has not been carried out much in India due to non availability of indigenous ka-band cloud prifiling radar system. The high cost & maintenance of the imported system has prohibited Indian scientists to procure such radars in numbers. Persistant requirement put forward by Indian...
Arctic sea ice concentration information can provide technical support for the safety of Arctic shipping routes using visible and near-infrared satellite imagery, but clouds reduce detection accuracy. According to the reflectance changes of ice, clouds, and water, and because the near-infrared reflectances of clouds are much higher than that of ice and water, we propose a new method for identifying...
Negative downward leaders that produced lightning strokes to wind turbines are identified by means of the Lightning Mapping Array data of the Ebro Valley Laboratory (NE Spain). Four cases are analyzed together with weather radar imagery. All flashes hitting wind turbines were originated in small convective cells with moderate development. Notwithstanding the moderate convection, all cases occurred...
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...
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...
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...
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...
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...
The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) is based on Principal Components (PCs) and allows fast and exact radiance and/or transmittance calculations. It is ideally suited for the simulation of hyperspectral sensors with hundreds or thousands of channels. The HT-FRTC can simulate a full instrument spectrum for any atmosphere and surface within a few milliseconds. It works for satellite-based,...
This paper studies echo simulations of spaceborne millimeter-wave cloud profiling radar (CPR). It employs the cloud reflectivity data from 94GHz CloudSat CPR to construct the real scene and the cloud scattering model. In the simulation, the radar model, the relative motion model, the cloud scattering model, the scattering particle motion model and the atmospheric propagation and attenuation model...
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