Results 211 to 220 of about 3,734 (258)

Seasonal Landfill Methane Emissions Driven by Temperature and Pressure. [PDF]

Environ Sci Technol
Hallward-Driemeier A, Zhao Y, Drews M, Sargent M, Wofsy S, Barton-Grimley R, Yerasi A, Collins J, Nehrir A, Commane R.   +9 more
europepmc   +1 more source

Environmental drivers of sulfur dioxide variability in a tropical urban region: a state space modeling approach for Campo Grande, Brazil. [PDF]

Environ Monit Assess
de Souza A, de Oliveira Júnior JF, Pérez FL, Cardoso KRA.   +3 more
europepmc   +1 more source

Musical Instrument Practice as Sensorimotor and Motor-Cognitive Skill Training in Healthy Aging. [PDF]

Brain Sci
Greco G, Desantis D, Cataldi S, Fischetti F.   +3 more
europepmc   +1 more source

Identification of dust aerosol source areas and transmission paths along the China-Pakistan Economic Corridor. [PDF]

Sci Rep
Han Z, Liu J, Ding J, Wu S, Lu X, Hou X, Zhao X, Yang J.   +7 more
europepmc   +1 more source

Assessment of CYGNSS Wind Speed Retrieval Uncertainty

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Measurements of near surface wind speed made by the Cyclone Global Navigation Satellite System (CYGNSS) constellation of GNSS-R satellites are evaluated and their uncertainty is assessed in two ways. A bottom-up assessment begins with a model for the error in engineering measurements and propagates that error through the wind speed retrieval algorithm ...
Christopher S. Ruf, Scott Gleason, Darren S. McKague   +2 more
exaly   +3 more sources

Preliminary Evaluation of Sentinel-1A Wind Speed Retrievals

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016
The accuracy of wind speed retrievals from synthetic aperture radars (SARs) is strongly dependent upon the accuracy of the normalized radar cross section measurement. Here, we make a preliminary assessment of wind speed retrievals from Sentinel-1A. In particular, we use Sentinel-1A SAR imagery to compute wind speed at 500-m resolution.
William G. Pichel, Xiaofeng Li, Christopher Jackson   +2 more
exaly   +3 more sources

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C-Band Cross-Polarization Wind Speed Retrieval

IEEE Geoscience and Remote Sensing Letters, 2011
C-band ocean backscatter observations over operational weather buoys using RADARSAT-2 fine quad mode data have resulted in new empirical relationships for the C-band co-polarization ratio and the C-band cross-polarization (cross-pol) ocean backscatter.
Paris W Vachon
exaly   +2 more sources

The Retrieval of Hurricane Wind Speed Based on the Support Vector Machine

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
With the increase of the amount of space-borne synthetic aperture radar (SAR), SAR data is increasingly being applied for remote monitoring of hurricane wind speed filed. There are many geophysical model functions (GMFs) have been developed for wind speed inversion by describing the relationship between the surface winds and the normalized radar ...
Shanshan Mu, Xiaofeng Li 0001
openaire   +2 more sources

A comparison of models for retrieving high wind speeds

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
Based on polarization ratio from ENVISAT ASAR, we compared the wind vectors retrieved from CMOD5 with alpha= 0.6, alpha = 0.5, our polarization ratio,VV HWGMF with our polarization ratio and HH HWGMF with results from QuikSCAT and buoy, respectively. We found that CMOD5 with alpha= 0.5 polarization ratio is best one for retrieving high wind speed from ...
Yijun He 0004, Hui Shen 0001, Jie Guo, William Perrie   +3 more
openaire   +2 more sources