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In May 2021, the Grand Canyon Monitoring and Research Center (GCMRC) of the U.S. Geological Survey’s (USGS), Southwest Biological Science Center (SBSC) acquired airborne multispectral high resolution data for the Colorado River in Grand Canyon in Arizona, USA. The imagery data consist of four bands (Band 1 – red, Band 2 – green, Band 3 – blue, and Band 4 – near infrared) with a ground resolution of 20 centimeters (cm). These image data are available to the public as 16-bit GeoTIFF files, which can be read and used by most geographic information system (GIS) and image-processing software. The spatial reference of the image data are in the State Plane (SP) map projection using the central Arizona zone (FIPS 0202)...
Tags: Arizona,
Bright Angel Creek,
Colorado River,
Diamond Creek,
GeoTIFF, All tags...
Glen Canyon Dam,
Grand Canyon,
Havasu Creek,
Kanab Creek,
Lake Mead,
Lake Powell,
Lees Ferry,
Leica ADS80/82,
Little Colorado River,
Marble Canyon,
Page,
Paria River,
Peach Springs,
Pearce Ferry,
Shinumo Creek,
Tapeats Creek,
United States,
aerial photography,
airborne imagery,
airborne multispectral high resolution data,
data release,
digital aerial imagery,
four band image mosaic,
image collections,
image mosaics,
imageryBaseMapsEarthCover,
infrared imaging,
multispectral imaging,
natural color,
near infrared,
orthoimagery,
remote sensing, Fewer tags
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These data represent total vegetation and surface water along approximately 12 kilometers of the Paria River upstream from the confluence of the Colorado River at Lees Ferry, Arizona. They are derived from airborne, multispectral imagery obtained in late May 2009, 2013, and 2021, collected with a push-broom sensor with 4 spectral bands depicting Blue, Green, Red and Near-Infrared wavelengths at a spatial resolution of 20 centimeters. The vegetation classification data were created using a supervised classification algorithm provided by Harris Geospatial in ENVI version 5.6.3 (Exelis Visual Information Solutions, Boulder, Colorado). The water data were created using a Green Normalized Difference Vegetation Index...
Tags: Arizona,
Botany,
Cloud Optimized GeoTIFF data,
Colorado River,
Ecology, All tags...
Geography,
Glen Canyon,
Glen Canyon Dam,
Grand Canyon,
Green Normalized Difference Vegetation Index,
Hydrology,
Information Sciences,
Lees Ferry,
Lonely Dell,
Marble Canyon,
Northern Arizona,
Paria River,
Remote Sensing,
USGS Science Data Catalog (SDC),
United States,
Water Resources,
airborne imagery,
biota,
change detection,
classification maps,
data release,
ecosystem monitoring,
flooding,
gNDVI,
image classification,
image collections,
imageryBaseMapsEarthCover,
inlandWaters,
maps and atlases,
multispectral high resolution data,
multispectral imaging,
remote sensing,
riparian vegetation,
river ecosystems,
river reaches,
river systems,
river tributaries,
supervised classification,
surface water (non-marine),
total vegetation,
vegetation,
vegetation classification maps,
water maps,
wetland ecosystems, Fewer tags
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These data were used to examine how post-fire sedimentation might change in western USA watersheds with future fire from the decade of 2001-10 through 2041-50. The data include previously published projections (Hawbaker and Zhu, 2012a, b) of areas burned by future wildfires for several climate change scenarios and general circulation models (GCMs) that we summarized for 471 watersheds of the western USA. The data also include previously published predictions (Miller et al., 2011) of first year post-fire hillslope soil erosion from GeoWEPP that we summarized for 471 watersheds of the western USA. We synthesized these summarized data in order to project sediment yield from future fires for 471 watersheds through the...
Categories: Data;
Types: Citation;
Tags: A1B emission scenario,
A2 emission scenario,
Annual Post-fire Sediment Yield,
Arizona,
Average Burned Area, All tags...
B1 emission scenario,
Burned area projections,
California,
Climate Change,
Colorado,
Decadal summaries,
Erosion,
First year post-fire,
Future post-fire sediment yield,
Future wildfires,
GCM,
GIS-based erosion model,
General circulation model,
HUC,
HUC8,
Hillslope soil erosion rates,
Hydrologic unit code,
Idaho,
Montana,
Nevada,
New Mexico,
Oregon,
Post-fire,
Projected watershed sediment yield,
Sediment,
Sediment yield,
Simulations,
USGS Science Data Catalog (SDC),
Utah,
Washington,
Watershed sediment yield estimates,
Watersheds,
Western US,
Wildfire perimeters,
Wildfires, Fewer tags
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These data are aerial image-derived, classification maps of tamarisk (Tamarisk spp.) in the riparian zone of the Colorado River from Glen Canyon Dam to Separation Canyon, a total river distance of 412 km. The classification maps are published in GIS vector format. Two maps are published: 1) a classification of tamarisk from a 0.2 m resolution multispectral image dataset acquired in May 2009 (Tamarisk Classification 2009), and 2) a classification of tamarisk impacted by the tamarisk beetle (Diorhabda carinulata) from a 0.2 m resolution multispectral image dataset acquired in May 2013 (Beetle Impact Classification 2013). Tamarisk presence in 2009 was classified using the Mahalanobis Distance method with a total of...
Tags: Arizona,
Change Detection,
Classification maps,
Colorado River,
GIS vector format data, All tags...
Glen Canyon,
Glen Canyon Dam,
Grand Canyon,
NDVI,
Normalized difference vegetation index,
Remote Sensing,
Riparian vegetation,
Riparian zone,
Separation Canyon,
Tamarisk,
Tamarisk Beetle,
USGS Science Data Catalog (SDC), Fewer tags
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The area burned by wildfires has increased in recent decades and is expected to increase in the future for many watersheds worldwide due to climate change. Burned areas within watersheds increase soil erosion rates, which can increase the downstream accumulation of sediment in rivers and reservoirs. Using an ensemble of climate, fire, and erosion models, we show that post-fire sedimentation is projected to increase for more than ¾ of watersheds by at least 10 % and for more than ¼ of watersheds by at least 100 % by the 2041 to 2050 decade in the western USA. In this region, 65 % of the water supply originates from forested lands that are prone to wildfire, and many of the watersheds with projected increases in sedimentation...
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