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Comparison of Turbidity Measurement by MODIS and AVHRR Images
2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation, 2008The turbidity is commonly measured by turbidity meter. However, it is only accurate for single point measurement but ineffective for wide spatial and temporal coverage. The objective of this study was to calibrate the turbidity algorithm for AVHRR and MODIS images.
H. G. Ng +3 more
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Burned-Area Mapping at the Subpixel Scale With MODIS Images
IEEE Geoscience and Remote Sensing Letters, 2015The Moderate Resolution Imaging Spectroradiometer (MODIS) is an important data set in global burned-area mapping. The MODIS global burned-area product has a coarse spatial resolution at approximately 500 m, which often introduces errors to the mapped burned areas.
Feng Ling +4 more
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Nonlinear Detector Response of Aqua MODIS Land Imaging Bands
IEEE Transactions on Geoscience and Remote Sensing, 2022The detectors in the Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) reflective solar bands (RSBs) are calibrated assuming a linear relationship between the observed top-of-atmosphere radiance and the instrument output response. Any nonlinear behavior in the system response can contribute to errors in NASA's Level 1B MODIS reflectance and ...
Kevin A. Twedt +4 more
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Fusion of MODIS Images Using Kriging With External Drift
IEEE Transactions on Geoscience and Remote Sensing, 2013The Moderate Resolution Imaging Spectroradiometer (MODIS) has been used in several remote sensing studies, including land, ocean, and atmospheric applications. The advantages of this sensor are its high spectral resolution, with 36 spectral bands; its high revisiting frequency; and its public domain availability.
Marcio H. Ribeiro Sales +2 more
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Automatic cloud detection from MODIS images
SPIE Proceedings, 2004Cloud cover influences the distribution of the solar radiation reaching the ground. Resulting fluxes of sensible and latent heat are critical to the accurate characterization of boundary layer behavior and mesoscale circulation that often lead to convective developments.
Gennaro Cappelluti +3 more
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Classification of MODIS images based on band combination
SPIE Proceedings, 2003This paper discusses the existing three optimal band combination rules of hyperspectral remote sensing images. They are joint entropy, optimal index factor and Sheffield index respectively. Three bands of MODIS images data are combined arbitrarily according to the three rules, so the best three bands combination images of the three rules are acquired ...
Yan Li, Ruifang Zhai, Ying Wang
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The enhanced MODIS airborne simulator hyperspectral imager
SPIE Proceedings, 2011The EMAS-HS or Enhanced MODIS Airborne Simulator is an upgrade to the solar reflected and thermal infrared channels of NASA's MODIS Airborne Simulator (MAS). In the solar reflected bands, the MAS scanner functionality will be augmented with the addition of this separate pushbroom hyperspectral instrument.
Daniel C. Guerin +2 more
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Texture-based cloud detection in MODIS images
SPIE Proceedings, 2003Statistical and spatial features are computed to detect clouds from MODIS Terra images. The presence of cirrus clouds is specifically studied. 1.38 μm band of MODIS is used. Cirrrus clouds that do not appear in visible imagery can be detected in this band. Although clouds appear to be uniform, they exhibit a texture pattern.
Ramon E. Vasquez, Vidya B. Manian
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MODIS Image Based Computation of Vegetation Indices in MedioGRID Architecture
2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2006The paper presents MedioGRID platform as a general-purpose solution for satellite image processing on GRID architecture, and exemplifies by the Greenland application the computation of vegetation indices based on MODIS satellite images. The application provides efficient and simple user interactivity through the graphical user interface.
Victor Bacu +2 more
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Automatic red tide detection from MODIS satellite images
2009 IEEE International Conference on Systems, Man and Cybernetics, 2009Red tides pose a significant environmental and economic threat in the Gulf of Mexico. Timely detection of red tides is important for understanding this phenomenon. In this paper, learning approaches based on k-nearest neighbors, random forests and support vector machines have been evaluated for red tide detection from MODIS satellite images.
Weijian Cheng +4 more
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