[PDF] Top 20 QuakeSim: Integrated Modeling and Analysis of Geologic and Remotely Sensed Data
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QuakeSim: Integrated Modeling and Analysis of Geologic and Remotely Sensed Data
... Past modeling projects include vortex formation in the ionospheric D region, parallel supercomputer modeling of radar scattering and antenna power patterns, and high- fidelity modeling of clear-air ... See full document
9
Modeling crop phenology using remotely sensed data
... 2.4.2 Analysis of the SMOS Data The time series of τ has two features we want to ...new data product, there lacks information to cross validate or confirm the true timing of the ... See full document
134
Modeling Chlorophyll Concentrations on the Ohio River using Remotely Sensed Data
... separate analysis, the data extracted from the cloudy images was added to the data above and the stepwise regression ...satellite data model was unable to accurately predict the chlorophyll ... See full document
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Integrating Remotely Sensed and Ground Observations for Modeling, Analysis, and Decision Support
... many data types and models that cover a broad range of scales in time and space • Timely and efficient earthquake analysis and response require automated processes and a system in which the interfaces ... See full document
37
Integrating Remotely Sensed and Ground Observations for Modeling, Analysis, and Decision Support
... 978-1-4673-1813-6/13/$31.00 ©2013 IEEE number of server instances used by a given service. This can be done using various triggers, such as the detection of high usage or on regular schedules. This is a key feature of ... See full document
12
Braided rivers: an exploratory study combining flume experiments and the analysis of remotely-sensed data
... larger data set could be assembled, preferably including information on bed material size, a more integrated analysis could be achieved following that proposed by Eaton et ...Their analysis ... See full document
181
Comparative analysis of remotely-sensed data products via ecological niche modeling of avian influenza case occurrences in Middle Eastern poultry
... parative analysis of six remotely-sensed data sets for models of the distribution of avian influenza cases, lar- gely in domestic poultry, in the Middle East and sur- rounding ...different ... See full document
12
Rivers Hydromorphological Characterization from High Resolution Remotely Sensed Data
... transfer modeling are used to extend the bathymetry analysis to a wider range of water depths and IOPs and also to consider more variability in bottom ... See full document
157
Remotely sensed images and GIS data fusion for automatic change detection
... for data distribution and it is suitable for multi-source data ...GIS data and knowledge can support ANN and other change detection ...be integrated to realise research on land use/cover ... See full document
11
Classification techniques for remotely sensed data
... hyperspectral data cube digital ...Hyperspectral data contain extremely rich spectral attributes, which offer the potential to discriminate more detailed classes with classification ... See full document
6
Object tracking in remotely sensed data
... in remotely sensed data Henke, Daniel Abstract: Die Fernerkundung ist heutzutage eine der wertvollsten Methoden, um verschiedenste grossräu- mige Phänomene und Prozesse konsistent, repetitiv und ... See full document
118
Analysis of Change Detection Techniques using Remotely Sensed Data
... component Analysis _______________________________________________________________________________________________________ ...times. Data from remote sensing with its synoptic and regular coverage at short ... See full document
6
Merging remotely sensed data with geophysical models
... the data set and emphasize specific properties in the model, without ignoring other, less-known variables that are important to the ...reference data set in the initial design of the model, the developer ... See full document
134
Estimating grassland curing with remotely sensed data
... DOC data and NDVI dataset, we were unable to reproduce a result where the RG corre- lation with DOC is stronger than ...Further analysis showed that the RG results were very sensitive to the se- lected time ... See full document
20
Factor analysis and classification of remotely sensed data for monitoring tidal flats
... Rotated factor matrix of tidal fiat pixels only, showing factor loadings, the variance among all seven channels that is accounted for by each factor (i.e. as a percent of that accoun[r] ... See full document
19
Cloud Masking for Remotely Sensed Data Using Spectral and Principal Components Analysis
... Keywords- cloud masking; spectral analysis; principal components analysis; reflectance; brightness temperature I. I NTRODUCTION Typically, 50% of the Earth’s surface is covered by clouds at any given time, ... See full document
5
Multimodal learning from visual and remotely sensed data
... of data required to train the ...continuous data into a set of depth bands, as different depth values that fall within the same bin are represented identically when ... See full document
164
Meeting the challenge of mapping peatlands with remotely sensed data
... sensor data showed potential for a greatly improved representation of peatlands on coarse res- olution ...maps. Analysis of spectral signatures of peatlands with different types of surface vegetation ... See full document
12
Uncertainties in remotely-sensed precipitation data over Africa
... gauge data: (a-c) Mean seasonal cycle of rainfall over three rainfall regions of GHA for the period 2003–2007, and (d-f) scatter plots of monthly rainfall between in-situ observations and gridded precipitation ... See full document
46
Python: A tool for analysis and visualization for remotely sensed datasets
... Read data from a NetCDF file For this exercise, we will use a Python code named ...a data file and display its ...the data from the file and store it in variables which can be easily ... See full document
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