Spatial resolution of input data
Effect of spatial data resolution on uncertainty
... estimate resolution-related uncertainty in model outputs relative to input ...uncertainty. Spatial data are considered in this paper as any regular grid of ...for spatial datasets to be ...
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Impact of spatial soil and climate input data aggregation on regional yield simulations
... across data types and aggregation methods, which are not captured by the regional yield bias when using a model ensemble ...km resolution, and the change in awc when aggregating soil or soil and ...changing ...
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Spatial correlation of radar and gauge precipitation data in high temporal resolution
... as input, which should be about 30 years long and have typically a temporal resolution of 5 ...if spatial variability is con- ...rain data at gauge sites and then interpolated on a 1 × 1 km 2 ...
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Multi-Resolution Pruning Based Co-Location Identification In Spatial Data
... is data mining method that find existing pattern in data .A spatial co-location pattern is a pattern which represents a subset of spatial features whose instance frequently located in close ...
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The effect of input data resolution and complexity on the uncertainty of hydrological predictions in a humid vegetated watershed
... and input data ...by input data of varying ...of input data with varying degrees of complexity on parameter uncertainty and output ...put data complexity on model ...
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Deconvolving and improving the spatial resolution of satellite data using the Maximum Entropy Method
... Abstract Remote sensing satellite imagery provides information about the surface of the Earth at a range of spectral bands and spatial resolutions. This information is a valuable resource for the management of ...
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Deconvolving and improving the spatial resolution of satellite data using the Maximum Entropy Method
... with data derived from the original input ...the input signal in the border, while mirroring reflects the input signal in the ...the input signal and padded ...of data being ...
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Evaluating the impact of spatial resolution on tropospheric NO2 column comparisons within urban areas using high-resolution airborne data
... The rapid fluctuations in Pandora observations through this period also suggest that the air mass is not well mixed; i.e., eddies likely exist in the vicinity of this front, which could affect vertical structure at very ...
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Resolution of spatial ambiguity by the hippocampal place system
... sensory input depending on the situation. Despite these data above, place cells continue to fire after all salient cues have been removed from an environment (Muller and Kubie, 1987), are stable in darkness ...
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Input Data Quality Report
... Thematic Data Input Quality The standard requires that for all input data layers, the suitability of the input data be evaluated for use in the PEM ...the spatial accuracy ...
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SEGMENTATION OF HIGHER SPATIAL RESOLUTION REMOTE SENSING DATA
... adequate spatial database which can be obtained through remote sensing ...high resolution remote sensing data, which is the base for the classification and the development of the spatial ...
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How To Classify Urban Hyperspectral Data With High Spatial Resolution
... of data contains a lot of information about the spectral properties and the land cover of the ...multispectral data, particularly with hyperspectral ...the spatial content of the image is not used, ...
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Multi-resolution Tensor Learning for Large-Scale Spatial Data
... for spatial tensor models. MRTL leverages the property that spatial data can be viewed at mul- tiple resolutions, which are related by coarsening and finegraining from one resolution to ...
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Conformal Analysis of Spatial Shift in High Resolution Satellite Data (HRSD)
... High Resolution Satellite Data (HRSD) with development of high spatial resolution sensors have revolu- tionized the generation of large scale ...or spatial shift may be induced at any ...
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Enhancing spatial resolution of remotely sensed data for mapping freshwater environments
... high spatial, spectral, radiometric and temporal resolution is required, as well as large spatial ...multispectral data have advantages because of their HSR compared to Landsat TM/ETM+ and ...
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A Review of Geological Applications of High-spatial- resolution Remote Sensing Data
... high resolution remote sensing data High-spatial-resolution optical remote sensing satellite data exhibit higher resolution and more visual image information than spaceborne ...
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Influence of low spatial resolution a priori data on tropospheric NO 2satellite retrievals
... From the high variability in profile shape in our study, we assume an important additional contribution to the error bud- get with respect to clouds could result from the effects of “model under-sampling”. The main ...
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Appendix 1 - SWAT model input data and performance. A1.1 - Input Data - Spatial domain: Middle Mulde River Basin (1611 km²) - Weather data
... Raw data: time series of measured daily precipitation, solar radiation, minimum and maximum temperature, wind speed, and relative humidity for DWD weather and precipitation stations in period 1980-2014 o Processed ...
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Effectiveness of 3D input on Spatial Abilities
... with data collected from other research studies using similar tests, the changes in scores were significantly lower; but within this study the grades were consistent with one ...
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Optical medium spatial resolution satellite constellation data for monitoring woodland in the UK
... occurred around DOY 226 in 2005, with a reflectance of 39%, before it dropped back to about 18%. The general pattern was of increasing NIR during the growing season, with visible reflectance low over most of the growing ...
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