scholarly journals Optical data downlinks from Earth observation platforms

2009 ◽  
Author(s):  
D. Giggenbach ◽  
J. Horwath ◽  
M. Knapek
Keyword(s):  
Earth Observation ◽  
Optical Data

scholarly journals Modelling, Characterizing, and Monitoring Boreal Forest Wetland Bird Habitat with RADARSAT-2 and Landsat-8 Data

Water ◽  
2021 ◽  
Vol 13 (17) ◽  
pp. 2327
Author(s):  
Evan R. DeLancey ◽  
Brian Brisco ◽  
Logan J. T. McLeod ◽  
Richard Hedley ◽  
Erin M. Bayne ◽  
...  
Keyword(s):  
Oil Sands ◽  
Bird Species ◽  
Interesting Case ◽  
Earth Observation ◽  
Optical Data ◽  
Suitable Habitat ◽  
Landsat 8 ◽  
Observation Data ◽  
Polarimetric Sar ◽  
Wetland Habitat

Earth observation technologies have strong potential to help map and monitor wildlife habitats. Yellow Rail, a rare wetland obligate bird species, is a species of concern in Canada and provides an interesting case study for monitoring wetland habitat with Earth observation data. Yellow Rail has highly specific habitat requirements characterized by shallowly flooded graminoid vegetation, the availability of which varies seasonally and year-to-year. Polarimetric Synthetic Aperture Radar (SAR) in combination with optical data should, in theory, be a great resource for mapping and monitoring these habitats. This study evaluates the use of RADARSAT-2 data and Landsat-8 data to characterize, map, and monitor Yellow Rail habitat in a wetland area within the mineable oil sands region. Specifically, we investigate: (1) The relative importance of polarimetric SAR and Landsat-8 data for predicting Yellow Rail habitat; (2) characterization of wetland habitat with polarimetric SAR data; (3) yearly trends in available habitat; and (4) predictions of potentially suitable habitat across northeastern Alberta. Results show that polarimetric SAR using the Freeman–Durden decomposition and polarization ratios were the most important predictors when modeling the Yellow Rail habitat. These parameters also effectively characterize this habitat based on high congruence with existing descriptions of suitable habitat. Applying the prediction model across all wetland areas showed accurate predictions of occurrence (validated on field occurrence data), and high probability habitats were constrained to very specific wetland areas. Using the RADARSAT-2 data to monitor yearly changes to Yellow Rail habitat was inconclusive, likely due to the different image acquisition times of the 2014 and 2016 images, which may have captured seasonal, rather than inter-annual, wetland dynamics. Polarimetric SAR has proved to be very useful for capturing the specific hydrology and vegetation structure of the Yellow Rail habitat, which could be a powerful technology for monitoring and conserving wetland species habitat.

scholarly journals OPERATIONAL PIPELINE FOR A GLOBAL CLOUD-FREE MOSAIC AND CLASSIFICATION OF SENTINEL-2 IMAGES

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 195-200
Author(s):  
M. Swaine ◽  
C. Smit ◽  
S. Tripodi ◽  
G. Fonteix ◽  
Y. Tarabalka ◽  
...  
Keyword(s):  
Satellite Images ◽  
Natural Hazard ◽  
Earth Observation ◽  
Research Topic ◽  
Optical Data ◽  
The World ◽  
Landcover Classification ◽  
Active Research ◽  
Sentinel 2

Abstract. Global Earth observation from satellite images is an active research topic, driven by numerous applications, such as telecommunications, defence, natural hazard monitoring and urban management. The recently launched twin Sentinel-2 satellites acquire 13-band optical data with a 2–5 day revisit time, freely available for any use, and thus very valuable for global Earth observation. In this paper, we present a completely automatic operational chain for a global cloud-free mosaic and classification of Sentinel-2 images. The proposed pipeline enables producing the world 10-m cloud-free mosaic, and a 6-class landcover classification map.

The spindle stage: A powerful optical tool

1988 ◽  
Vol 46 ◽  
pp. 52-53
Author(s):  
Mickey E. Gunter ◽  
F. Donald Bloss
Keyword(s):  
Significant Error ◽  
Optical Data ◽  
Refractive Indices ◽  
Axis Of Rotation ◽  
Polarizing Microscope ◽  
Microscope Stage

A single, reasonably homogeneous, nonopaque 30-to-300 μm crystal, mounted on a spindle stage and studied by immersion methods under a polarizing microscope, yields optical data frequently sufficient to identify and characterize a substance unequivocally. The data obtainable include (1) the orientation of the crystal's principal vibration axes and (2) its principal refractive indices, to within 0.0002 if desired, for light vibrating along these principal vibration axes. Spindle stages tend to be simple and relatively inexpensive, some costing less than $50. They permit rotation of the crystal about a single axis which is parallel to the microscope stage. This spindle or S-axis is thus perpendicular to the M-axis, namely the microscope stage's axis of rotation.A spindle stage excels when studying anisotropic crystals. It orients uniaxial crystals within minutes and biaxial crystals almost as quickly so that their principal refractive indices - ɛ and ω (uniaxial); α, β and γ (biaxial) - can be determined without significant error from crystal misorientation.

Optical Data Links for L1 and Mars Missions

2005 ◽  
Author(s):  
M. Wittig ◽  
T. Dreischer ◽  
T. Weigl
Keyword(s):  
Optical Data ◽  
Data Links ◽  
Mars Missions
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