scholarly journals A Collection of Novel Algorithms for Wetland Classification with SAR and Optical Data

2019 ◽  
Author(s):  
Bahram Salehi ◽  
Masoud Mahdianpari ◽  
Meisam Amani ◽  
Fariba M. Manesh ◽  
Jean Granger ◽  
...  
Keyword(s):  
Optical Data ◽  
Wetland Classification ◽  
Novel Algorithms

scholarly journals SAR and Lidar Temporal Data Fusion Approaches to Boreal Wetland Ecosystem Monitoring

2019 ◽  
Vol 11 (2) ◽  
pp. 161 ◽  
Author(s):  
Joshua Montgomery ◽  
Brian Brisco ◽  
Laura Chasmer ◽  
Kevin Devito ◽  
Danielle Cobbaert ◽  
...  
Keyword(s):  
Surface Water ◽  
Data Fusion ◽  
Rapid Development ◽  
Airborne Lidar ◽  
Optical Data ◽  
Wetland Classification ◽  
Regional Study ◽  
Ecosystem Monitoring ◽  
Wide Range ◽  
Boreal Wetland

The objective of this study was to develop a decision-based methodology, focused on data fusion for wetland classification based on surface water hydroperiod and associated riparian (transitional area between aquatic and upland zones) vegetation community attributes. Multi-temporal, multi-mode data were examined from airborne Lidar (Teledyne Optech, Inc., Toronto, ON, Canada, Titan), synthetic aperture radar (Radarsat-2, single and quad polarization), and optical (SPOT) sensors with near-coincident acquisition dates. Results were compared with 31 field measurement points for six wetlands at riparian transition zones and surface water extents in the Utikuma Regional Study Area (URSA). The methodology was repeated in the Peace-Athabasca Delta (PAD) to determine the transferability of the methods to other boreal environments. Water mask frequency analysis showed accuracies of 93% to 97%, and kappa values of 0.8–0.9 when compared to optical data. Concordance results comparing the semi-permanent/permanent hydroperiod between 2015 and 2016 were found to be 98% similar, suggesting little change in wetland surface water extent between these two years. The results illustrate that the decision-based methodology and data fusion could be applied to a wide range of boreal wetland types and, so far, is not geographically limited. This provides a platform for land use permitting, reclamation monitoring, and wetland regulation in a region of rapid development and uncertainty due to climate change. The methodology offers an innovative time series-based boreal wetland classification approach using data fusion of multiple remote sensing data sources.

Wetland classification in Newfoundland and Labrador using multi-source SAR and optical data integration

2017 ◽  
Vol 54 (6) ◽  
pp. 779-796 ◽  
Author(s):  
Meisam Amani ◽  
Bahram Salehi ◽  
Sahel Mahdavi ◽  
Jean Granger ◽  
Brian Brisco
Keyword(s):  
Data Integration ◽  
Newfoundland And Labrador ◽  
Optical Data ◽  
Wetland Classification

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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