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Utilizing the spatial information inherent in panchromatic very high spatial resolution (VHSR) imagery, we explored the use of tree crown metrics for identifying leading species over four study sites in the Yukon Territory, Canada. Image segmentation was used to delineate homogeneous forest stands, followed by a tree crown delineation algorithm that identified individual tree crowns within each stand. Leading species in the study area included white spruce, black spruce, lodgepole pine, and trembling aspen. Nonparametric multivariate statistical tests indicated that some tree crown metrics generalized at the stand level have significant utility for discriminating leading species. Based on this result, a classification...
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Carbon emissions from boreal forest fires are projected to increase with continued warming and constitute a potentially significant positive feedback to climate change. The highest consistent combustion levels are reported in interior Alaska and can be highly variable depending on the consumption of soil organic matter. Here we present an approach for quantifying emissions within a fire perimeter using remote sensing of fire severity. Combustion from belowground and aboveground pools was quantified at 22 sites (17 black spruce and five white spruce-aspen) within the 2010 Gilles Creek burn in interior Alaska, constrained by data from eight unburned sites. We applied allometric equations and estimates of consumption...
Kanuti National Wildlife Refuge was established to conserve white-fronted geese, other waterfowl and migratory birds, moose, caribou, and furbearers; to fulfill treaty obligations; to provide for continued subsistence uses; and to ensure necessary water quality and quantity. Because the refuge is seldom visited by anyone other than subsistence users from the immediate area, those who do venture into Kanuti's backcountry will find unspoiled and virtually unused wildlands to rival those anywhere else in the world. These lands support a wide variety of wildlife. In addition to the large mammals mentioned above, wolverine, fox, porcupine, lynx, beavers, muskrats, marten and mink can be seen, as well as nearly 130 species...
Three satellite fire detection models (threshold, contextual, and fuel mask) were compared and evaluated using National Oceanographic and Atmospheric Administration (NOAA)-11, NOAA-12, and NOAA-14 Advanced Very High Resolution Radiometer sensor data from interior Alaska. The fixed threshold model compared the radiant temperature of each pixel to predetermined threshold values. The contextual model compared the radiant temperature of each pixel to its surrounding (background) pixels. The fuel mask model is similar to the contextual model, but pixels were tested for fuel availability according to pre-fire vegetation index values. Fire location data from the Alaska Fire Service was used to assess the accuracy of the...
This document summarized the effort to derive new map data using reclassification logic or rule-based aggregation processes for WRST. The final map data set retains this highly detailed “bird’s-eye view” level of information in the form of a land cover database. Generalized land cover maps may then be derived from this detailed land cover database. In addition, alternative more directed detailed maps may be derived from the land cover database as needed.
The National Oceanic and Atmospheric Administration (NOAA) plans to procure the next generation of geostationary operational environmental satellites, called the Geostationary Operational Environmental Satellites-R series (GOES-R). This new series is considered critical to the United States' ability to maintain the continuity of data required for weather forecasting through the year 2028. GAO was asked to (1) determine the status of and plans for the GOES-R series procurement, and (2) identify and evaluate the actions that the program management team is taking to ensure that past problems experienced in procuring other satellite programs are not repeated. We are making recommendations to the Secretary of Commerce...
map background search result map search result map Stony River MOA earth cover classification Identifying leading species using tree crown metrics derived from very high spatial resolution imagery in a boreal forest environment Quantifying fire-wide carbon emissions in interior Alaska using field measurements and Landsat imagery Quantifying fire-wide carbon emissions in interior Alaska using field measurements and Landsat imagery Stony River MOA earth cover classification Identifying leading species using tree crown metrics derived from very high spatial resolution imagery in a boreal forest environment