D
Douglas C. Morton
Researcher at Goddard Space Flight Center
Publications - 136
Citations - 17238
Douglas C. Morton is an academic researcher from Goddard Space Flight Center. The author has contributed to research in topics: Deforestation & Amazon rainforest. The author has an hindex of 49, co-authored 124 publications receiving 14076 citations. Previous affiliations of Douglas C. Morton include University of Maryland, College Park & National Institute for Space Research.
Papers
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Global Fire Atlas with Characteristics of Individual Fires, 2003-2016
TL;DR: The Global Fire Atlas as discussed by the authors is a global dataset that tracks the day-to-day dynamics of individual fires to determine the timing and location of ignitions, fire size, duration, daily expansion, fire line length, speed, and direction of spread.
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Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data
Caileigh Shoot,Hans-Erik Andersen,L. Monika Moskal,Chad Babcock,Bruce D. Cook,Douglas C. Morton +5 more
TL;DR: In this paper, the authors used a combination of airborne hyperspectral and lidar data to map FIA-defined forest type between sparsely sampled FIA plot data collected in interior Alaska.
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Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar
M. A. Scaranello,Michael Keller,Michael Keller,Michael Keller,Marcos Longo,Marcos Longo,M. N. dos-Santos,V. Leitold,Douglas C. Morton,E. R. Pinagé,E. R. Pinagé,Fernando Del Bon Espírito-Santo,Fernando Del Bon Espírito-Santo +12 more
TL;DR: In this article, the authors developed models to relate lidar metrics and Landsat time series variables to coarse dead wood stocks for intact, logged, burned, or logged and burned forests.
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Global biomass burning fuel consumption and emissions at 500 m spatial resolution based on the Global Fire Emissions Database (GFED)
Dave van Wees,Guido R. van der Werf,James T. Randerson,Brendan M. Rogers,Yan Chen,Sander Veraverbeke,Louis Giglio,Douglas C. Morton +7 more
TL;DR: In this article , the authors developed a global fire emissions model with a spatial resolution of 500m using MODIS (MODIS) data, which is based on a simplified version of the Global Fire Emissions Database (GFED) modelling framework.
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Three-dimensional estimation of deciduous forest canopy structure and leaf area using multi-directional, leaf-on and leaf-off airborne lidar data
TL;DR: In this article , the authors developed a data processing workflow (named PVlad) using ALS point cloud apparent reflectance to estimate LAI and voxel-based leaf area density (LAD), aiming to reduce the need for associated field measurements such as the gap probability.