http://www.grss-ieee.org Just another WordPress weblog Wed, 01 Feb 2012 18:33:47 +0000 en hourly 1 http://wordpress.org/?v=3.1.3 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6133471 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6133471#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6133471 http://www.grss-ieee.org/ieee-transactions-on-geoscience-and-remote-sensing-institutional-listings-21/feed/ 0 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5979156 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5979156#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5979156 $^{circ}$ elevation angle and every degree in azimuth. In general, we find good agreement between the ray-traced slant factors from the different solutions at 5$^{circ}$ elevation if determined from the same pressure level data of the ECMWF. Standard deviations and biases are at the 1-cm level (or significantly better for some combinations). Some of these discrepancies are due to differences in the algorithms and the interpolation approaches. If compared with slant factors determined from ECMWF native model level data, the biases can be significantly larger.]]> http://www.grss-ieee.org/comparison-of-ray-tracing-packages-for-troposphere-delays/feed/ 0 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6133470 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6133470#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6133470 http://www.grss-ieee.org/ieee-copyright-form-2/feed/ 0 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6112797 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6112797#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6112797 http://www.grss-ieee.org/application-of-quikscat-backscatter-to-smap-validation-planning-freezethaw-state-over-alectra-sites-in-alaska-from-2000-to-2007/feed/ 0 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5960785 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5960785#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5960785 http://www.grss-ieee.org/estimation-of-aerosol-effective-radius-by-multiwavelength-elastic-lidar/feed/ 0 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5982382 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5982382#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5982382 $sim$1 km) with lower spatial resolution AMSR-E ($sim$25 km) to obtain soil moisture estimates at the MODIS scale ($sim$1 km). We compare the developed (UCLA) method against a range of previous published approaches. Various key factors (i.e., surface temperature, vegetation indexes, and albedo) derived from MODIS provide information on relative variations in surface wetness conditions and contribute weighting parameters for downscaling the larger AMSR-E soil moisture footprints. Evaluation of the various downscaled soil moisture products is undertaken at the SMEX04 site in southern Arizona. Results show that the UCLA downscaling technique, as well as the previously published Merlin method, significantly improves the limited spatial variability of the current AMSR-E product. Spatial correlation $(R)$ values improved from $-$0.08 to 0.34 and 0.27 for the Merlin and UCLA methods, respectively. The evaluated triangle-based methods show poorer performance over the study domain. Results from the current study yield insight on the integration of multi- cale remote sensing data in various downscaling methods and the usefulness of MODIS observations in compensating for low-resolution microwave observations.]]> http://www.grss-ieee.org/improving-spatial-soil-moisture-representation-through-integration-of-amsr-e-and-modis-products/feed/ 0 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6026942 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6026942#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=6026942 http://www.grss-ieee.org/ambiguity-suppression-by-azimuth-phase-coding-in-multichannel-sar-systems/feed/ 0 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5986699 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5986699#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5986699 http://www.grss-ieee.org/experimental-detection-and-characterization-of-brillouin-precursor-through-loamy-soil-at-microwave-frequencies/feed/ 0 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5971780 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5971780#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5971780 http://www.grss-ieee.org/filtering-and-segmentation-of-polarimetric-sar-data-based-on-binary-partition-trees/feed/ 0 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5986701 http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5986701#comments Wed, 01 Feb 2012 00:00:00 +0000 Geoscience and Remote Sensing, IEEE Transactions on - new TOC http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=6133465&arnumber=5986701 $R = 0.85$ for Terra and 0.83 for Aqua), although the MODIS aerosol algorithm tends to underestimate particle size for large particles and overestimate size for small particles, as seen in earlier collections. Prior analysis noted an offset between Terra and Aqua ocean AODs, without concluding which sensor was more accurate. The simple linear regression reported here is consistent with other anecdotal evidence that Aqua agreement with the Aerosol Robotic Network is marginally better. However, we cannot claim based on the current study that the better Aqua comparison is statistically significant. A systematic increase of error as a function of wind speed is noted in both Terra and Aqua retrievals. This wind speed dependence enters the retrieval when winds deviate from the 6-m/s value assumed in the rough ocean surface and white cap parameterizations. Wind speed dependence in the results can be mitigated by using auxiliary National Centers for Environmental Prediction wind speed information in the retrieval process.]]> http://www.grss-ieee.org/evaluation-and-wind-speed-dependence-of-modis-aerosol-retrievals-over-open-ocean/feed/ 0