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 (gNDVI) threshold of gNDVI <= 0.2. Each classification dataset contains unclassified pixels (0) and vegetation or surface water pixels (1) and are published as Cloud Optimized GeoTIFF raster datasets.

These data are a species-level classification map of riparian vegetation in the Colorado River riparian corridor in Grand Canyon, Arizona, USA. The classification is derived from 0.2 m pixel resolution multispectral aerial imagery acquired in May 2013. The classification spans the riparian zone of the river corridor between Glen Canyon Dam near Page, Arizona, and Lake Mead at Pearce Ferry, Arizona. The classification is divided into 5 distinct reaches of the river: Glen Canyon, Marble Canyon, Eastern Grand Canyon, Western Grand Canyon upstream of Diamond Creek, and Western Grand Canyon downstream of Diamond Creek. The method used for classification was a combination of supervised Classification And Regression Tree (CART) analysis and unsupervised ISODATA classification. The data release package contains the individual raster data of riparian species vegetation classification data based on USGS 1:24000 quad boundaries, and tabular data of training and validation point locations, confusion matrix counts as accuracy assessment and National Vegetation Classification (NVC) standard and vegetation classification descriptions. Two FGDC metadata files are included; one for the raster classification data and one for the tabular data.

These data are a species-level classification map of riparian vegetation in the Colorado River riparian corridor in Grand Canyon, Arizona, USA. The classification is derived from 0.2 m pixel resolution multispectral aerial imagery acquired in May 2013. The classification spans the riparian zone of the river corridor between Glen Canyon Dam near Page, Arizona, and Lake Mead at Pearce Ferry, Arizona. The classification is divided into 5 distinct reaches of the river: Glen Canyon, Marble Canyon, Eastern Grand Canyon, Western Grand Canyon upstream of Diamond Creek, and Western Grand Canyon downstream of Diamond Creek. The method used for classification was a combination of supervised Classification And Regression Tree (CART) analysis and unsupervised ISODATA classification. The data release package contains the individual raster data of riparian species vegetation classification data based on USGS 1:24000 quad boundaries, and tabular data of training and validation point locations, confusion matrix counts as accuracy assessment and National Vegetation Classification (NVC) standard and vegetation classification descriptions. Two FGDC metadata files are included; one for the raster classification data and one for the tabular data.

These data were compiled to assess the status and trends of riparian plant communities along the Colorado River between Glen Canyon Dam and Lake Mead, AZ. Three metrics have been proposed to evaluate the "Riparian Vegetation" goal identified in the Glen Canyon Dam Adaptive Management Program's Long Term Experimental and Management Plan (U.S. Department of Interior, 2016). The three metrics are total living plant cover, the proportion of living cover composed of native species, and native species richness. Current policies for Glen Canyon Dam operations result in three longitudinal bands within the riparian area that are flooded at different frequencies. The band, or hydrologic zone, that is most frequently inundated is referred to here as the “active channel” or “AC.” This includes all areas inundated by releases up to 25,000 cubic feet per second (707 m3/s). The “active floodplain” or “AF” is inundated by high flow experiments and includes areas that are inundated by releases between 25,000 cubic feet per second and 45,000 cubic feet per second (1,274 m3/s). The “inactive floodplain” or “IF” is the area along the river that is inundated by releases over 45,000 cubic feet per second, which is not planned under current policies. The metrics are assessed for each of these hydrologic zones. Data from the Grand Canyon Monitoring and Research Center's riparian vegetation monitoring protocol (Palmquist and others, 2018) can be used to evaluate these metrics, which is what is provided here. In short, 80-100 sample sites are randomly selected each year. These sites include debris fans, eddy sandbars, and channel margins. At each randomly selected sample site, ocular cover estimates of each plant species occurring in 1-m2 quadrats spanning the hydrological zones are recorded, along with an estimate of total living plant cover and associated environmental variables. The first metric, total living plant cover, consists of two pieces of data; plant occurrence (a plant is present in the sample frame) and plant cover (proportion of the sample frame covered with living plants). Cover is represented by both an ordinal cover class (1, 2, 3, 4, 5, 6, etc.) and the midpoint of the cover class value (0.01%, 0.5%, 1%, 5%, 10%, 15%, etc). The proportion of native cover is the sum total of native plant cover divided by the sum total of plant cover (native plus nonnative cover) for a sample frame. Native plant richness is the total number of native species rooted inside a sample frame. The total living plant cover data are available for 2016 through 2023. The native cover and richness data are available for 2014 and 2016 through 2023.

These data are classification maps of total riparian vegetation along the Colorado River in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The total vegetation data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify total vegetation which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and ground truth. The data represent total vegetation that is primarily green and photosynthetically active at the time of image acquisition, and do not necessarily represent vegetation at various stages of senescence or defoliated/dead vegetation that may still be rooted and standing.

These data are classification maps of total riparian vegetation along the Colorado River in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The total vegetation data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify total vegetation which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and ground truth. The data represent total vegetation that is primarily green and photosynthetically active at the time of image acquisition, and do not necessarily represent vegetation at various stages of senescence or defoliated/dead vegetation that may still be rooted and standing.

These data are a surface water classification map of surface water in the riparian corridor of Grand Canyon between Glen Canyon and Pearce Ferry, Arizona, published in ESRI shapefile format. The map was classified from 0.2 m resolution, multispectral imagery (Sankey and others, 2024) and are the same spatial resolution as the imagery. In order to differentiate between the boundary between each river reach in Grand Canyon, the map is categorized with a water channel name, including the mainstem Colorado River or other major tributaries by name. Data analyses were performed using ENVI V.5.6.1 and IDL V8.8.1, a registered trademark of NV5 Global, Inc. and ArcGIS PRO 3.3.1, a product of Esri, Inc.

These data were collected to evaluate the cover and composition of native and nonnative vascular plant species within the riparian zone of the Colorado River from Glen Canyon Dam to the historic high-water line of Lake Mead, approximately 240 river miles downstream of Lees Ferry. The overall objective of the ongoing study these data were collected for is to determine how plant cover and composition change over time in response to the operation of Glen Canyon Dam. This includes evaluating how plants respond to climate and other environmental factors, so that the effects of Glen Canyon Dam can be determined. These data represent 36 of the most common plant species observed in sample frames, estimates of how much aerial cover those plants have, and estimates of environmental variables associated with the sample frames. These data were collected from the riparian zone along the Colorado River between Lees Ferry, AZ and the confluence of the Colorado River and Diamond Creek, AZ. Data were collected in August and September for the years 2016, 2017, 2018, 2019, and 2020. These data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center riparian plant program. These data are a combination of field observations and data downloaded from other sources. These data can be used to understand the general distributions of the 36 plant species in the study area at a given time and their change in cover and composition over time. These data are particularly suited to determine the environmental variables that are most related to the cover and occurrence of these 36 plant species.

These data were collected to evaluate the cover and composition of native and nonnative vascular plant species within the riparian zone of the Colorado River from Glen Canyon Dam to the historic high-water line of Lake Mead, approximately 240 river miles downstream of Lees Ferry. The overall objective of the ongoing study these data were collected for is to determine how plant cover and composition change over time in response to the operation of Glen Canyon Dam. This includes evaluating how plants respond to climate and other environmental factors, so that the effects of Glen Canyon Dam can be determined. These data represent 36 of the most common plant species observed in sample frames, estimates of how much aerial cover those plants have, and estimates of environmental variables associated with the sample frames. These data were collected from the riparian zone along the Colorado River between Lees Ferry, AZ and the confluence of the Colorado River and Diamond Creek, AZ. Data were collected in August and September for the years 2016, 2017, 2018, 2019, and 2020. These data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center riparian plant program. These data are a combination of field observations and data downloaded from other sources. These data can be used to understand the general distributions of the 36 plant species in the study area at a given time and their change in cover and composition over time. These data are particularly suited to determine the environmental variables that are most related to the cover and occurrence of these 36 plant species.

These data area classified maps of water in the Colorado River at a discharge of approximately 227 meters squared/second in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The water classification data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify water which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and ground truth. When developing these data from the native raster format we also considered the differences in water origin, and differentiated between water in the Colorado River mainstem as opposed to within tributary channels. Backwaters with fluid connection to the mainstem river channel were categorized as mainstem water. Backwaters completely disconnected from the mainstem were grouped with the tributary water. We created a water classification dataset from multispectral high resolution imagery. All processing steps were completed in ENVI + IDL 5.3 a product of Harris Geospatial Solutions (copyright 2017 Exelis Visual Information Solutions, Inc., a subsidiary of Harris Corporation) and ArcGIS 10.3 a product of ESRI (copyright 2017).