scholarly journals High‐resolution mapping of two large‐scale transpressional fault zones in the California Continental Borderland: Santa Cruz‐Catalina Ridge and Ferrelo faults

2015 ◽  
Vol 120 (5) ◽  
pp. 915-942 ◽  
Author(s):  
Mark R. Legg ◽  
Monica D. Kohler ◽  
Natsumi Shintaku ◽  
Dayanthie S. Weeraratne
Keyword(s):  
High Resolution ◽  
Large Scale ◽  
Fault Zones ◽  
Santa Cruz ◽  
High Resolution Mapping ◽  
Resolution Mapping ◽  
California Continental Borderland

scholarly journals High-resolution Mapping of Forest Carbon Stocks in the Colombian Amazon

2012 ◽  
Vol 9 (3) ◽  
pp. 2445-2479 ◽  
Author(s):  
G. P. Asner ◽  
J. K. Clark ◽  
J. Mascaro ◽  
G. A. Galindo García ◽  
K. D. Chadwick ◽  
...  
Keyword(s):  
High Resolution ◽  
Tropical Forest ◽  
Large Scale ◽  
Carbon Stocks ◽  
Forest Carbon ◽  
Airborne Lidar ◽  
High Resolution Mapping ◽  
Resolution Mapping ◽  
Carbon Mapping ◽  
Colombian Amazon

Abstract. High-resolution mapping of tropical forest carbon stocks can assist forest management and improve implementation of large-scale carbon retention and enhancement programs. Previous high-resolution approaches have relied on field plot and/or Light Detection and Ranging (LiDAR) samples of aboveground carbon density, which are typically upscaled to larger geographic areas using stratification maps. Such efforts often rely on detailed vegetation maps to stratify the region for sampling, but existing tropical forest maps are often too coarse and field plots too sparse for high resolution carbon assessments. We developed a top-down approach for high-resolution carbon mapping in a 16.5 million ha region (>40 %) of the Colombian Amazon – a remote landscape seldom documented. We report on three advances for large-scale carbon mapping: (i) employing a universal approach to airborne LiDAR-calibration with limited field data; (ii) quantifying environmental controls over carbon densities; and (iii) developing stratification- and regression-based approaches for scaling up to regions outside of LiDAR coverage. We found that carbon stocks are predicted by a combination of satellite-derived elevation, fractional canopy cover and terrain ruggedness, allowing upscaling of the LiDAR samples to the full 16.5 million ha region. LiDAR-derived carbon mapping samples had 14.6 % uncertainty at 1 ha resolution, and regional maps based on stratification and regression approaches had 25.6 % and 29.6 % uncertainty, respectively, in any given hectare. High-resolution approaches with reported local-scale uncertainties will provide the most confidence for monitoring changes in tropical forest carbon stocks. Improved confidence will allow resource managers and decision-makers to more rapidly and effectively implement actions that better conserve and utilize forests in tropical regions.

scholarly journals High-resolution mapping of forest carbon stocks in the Colombian Amazon

2012 ◽  
Vol 9 (7) ◽  
pp. 2683-2696 ◽  
Author(s):  
G. P. Asner ◽  
J. K. Clark ◽  
J. Mascaro ◽  
G. A. Galindo García ◽  
K. D. Chadwick ◽  
...  
Keyword(s):  
High Resolution ◽  
Tropical Forest ◽  
Large Scale ◽  
Carbon Stocks ◽  
Forest Carbon ◽  
Airborne Lidar ◽  
High Resolution Mapping ◽  
Resolution Mapping ◽  
Carbon Mapping ◽  
Colombian Amazon

Abstract. High-resolution mapping of tropical forest carbon stocks can assist forest management and improve implementation of large-scale carbon retention and enhancement programs. Previous high-resolution approaches have relied on field plot and/or light detection and ranging (LiDAR) samples of aboveground carbon density, which are typically upscaled to larger geographic areas using stratification maps. Such efforts often rely on detailed vegetation maps to stratify the region for sampling, but existing tropical forest maps are often too coarse and field plots too sparse for high-resolution carbon assessments. We developed a top-down approach for high-resolution carbon mapping in a 16.5 million ha region (> 40%) of the Colombian Amazon – a remote landscape seldom documented. We report on three advances for large-scale carbon mapping: (i) employing a universal approach to airborne LiDAR-calibration with limited field data; (ii) quantifying environmental controls over carbon densities; and (iii) developing stratification- and regression-based approaches for scaling up to regions outside of LiDAR coverage. We found that carbon stocks are predicted by a combination of satellite-derived elevation, fractional canopy cover and terrain ruggedness, allowing upscaling of the LiDAR samples to the full 16.5 million ha region. LiDAR-derived carbon maps have 14% uncertainty at 1 ha resolution, and the regional map based on stratification has 28% uncertainty in any given hectare. High-resolution approaches with quantifiable pixel-scale uncertainties will provide the most confidence for monitoring changes in tropical forest carbon stocks. Improved confidence will allow resource managers and decision makers to more rapidly and effectively implement actions that better conserve and utilize forests in tropical regions.

ANATOMY OF A LARGE IMPACT CRATER ON A DWARF PLANET: XM2 INITIAL HIGH-RESOLUTION MAPPING OF OCCATOR CRATER FROM DAWN

2018 ◽  
Author(s):  
Paul M. Schenk ◽  
◽  
Britney E. Schmidt ◽  
Hanna G. Sizemore ◽  
Carle M. Pieters ◽  
...  
Keyword(s):  
High Resolution ◽  
Impact Crater ◽  
Large Impact ◽  
High Resolution Mapping ◽  
Resolution Mapping

scholarly journals High-resolution mapping of the atria using the HD Grid catheter

2019 ◽  
Vol 5 (7) ◽  
pp. 351-353 ◽  
Author(s):  
Kathryn Lauren Hong ◽  
Damien Redfearn ◽  
Sanoj Chacko ◽  
Jason Baley ◽  
Adrian Baranchuk ◽  
...  
Keyword(s):  
High Resolution ◽  
High Resolution Mapping ◽  
Resolution Mapping
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