Katahdin Woods and Waters National Monument was established on August 24, 2016. The monument spans mountains and forest lands in north central Maine. High-resolution aerial imagery was collected on October 5, 2019 with a Phase One iXU-R 180 RGB camera co-mounted with a Phase One iXU-RS 160 Achromatic camera. Images from the two cameras are merged to create 4-band imagery that can be displayed as either true-color (RGB) or color-infrared (CIR). The imagery has a resolution of approximately 0.15 meter/pixel (6 inches).
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn...
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn...
Isoëtes are iconic but understudied wetland plants, despite having suffered severe losses globally mainly because of alterations in their habitats. We therefore provide the first global, comprehensive data set of aquatic Isoëtes and their habitats. We compiled a global database that includes all known environmental data collected from 1935 to 2023 regarding aquatic Isoëtes. This resulted in 2,179 records. The environmental data taken at Isoëtes' sampling stations varied but may include measures of water quality, water depth, and substrate composition.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn...
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn...
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). A geospatial model of floodplain inundation described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628) generates depth time series data for the UMRS floodplain extent. These depth time series data are typically generated from daily water surface elevations from three gaging locations along the mainstem of the Upper Mississippi River in Pool 26. However, due to missing data at the mid-pool gage location at Dixon Landing, this gage was not included in the analysis for 2009 - 2020. To understand the effect of excluding data from the mid-pool gage on...
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September for select years since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were generated without water surface elevations from the mid-pool gaging location at Dixon Landing due to missing...
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.
Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present a time series of daily surface water inundation depths (in feet) for floodplain surfaces in the UMRS. The time series data are for the months of April through September of every year since 1940. These months were chosen because it approximates the period during which most biophysical processes such as vegetation metabolism and biogeochemical cycling are likely to be strongest across the longitudinal gradient of the UMRS. Data were derived from a geospatial model of surface water inundation developed for the UMRS and described in Van Appledorn...