Filters: partyWithName: Barry R Middleton (X) > partyWithName: U.S. Geological Survey (X)
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We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The vegetation is characterized using a series of remote sensing vegetation indices developing using satellite imagery, including the Normalized Difference Vegetation Index (NDVI) and Tasseled Cap (TC) Transformation metrics of brightness, greenness, and wetness. Each of these remote sensing vegetation indices provides a unique characterization of the vegetation properties. For example, NDVI provides a general overview...
We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The full suite of data products and a link to the associated publication addressing this analysis can be found on the Parent data release. For this study, the vegetation conditions are characterized using a series of remote sensing vegetation indices developing using satellite imagery, including the Normalized Difference Vegetation Index (NDVI) and the Tasseled Cap (TC) Transformation. The NDVI is a commonly used vegetation...
We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The full suite of data products and a link to the associated publication addressing this analysis can be found on the Parent data release. For this study, the vegetation conditions are characterized using a series of remote sensing vegetation indices developed using satellite imagery, including the Normalized Difference Vegetation Index (NDVI). The NDVI is a commonly used vegetation index that quantifies relative greenness...
We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The full suite of data products and a link to the associated publication addressing this analysis can be found on the Parent data release. For this study, the vegetation conditions are characterized using a series of remote sensing vegetation indices developing using satellite imagery, including the Normalized Difference Vegetation Index (NDVI) and the Tasseled Cap (TC) Transformation. The NDVI is a commonly used vegetation...
We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The full suite of data products and a link to the associated publication addressing this analysis can be found on the Parent data release. To characterize the climate conditions across the study period, we use the Standardized Precipitation Evapotranspiration Index (SPEI). The SPEI is a water balance index which includes both precipitation and evapotranspiration in its calculation. Conditions from the prior n months, generally...
Categories: Data
We developed this spatial database of historic and current floodplains to analyze trends in vegetation conditions, identify areas more at risk of degradation, and assess the relationship between riparian vegetation dynamics and climate conditions.Our study area is the riparian areas along the San Carlos River and Gila River within the San Carlos Apache Reservation and the Upper Gila River Level-4 Hydrologic Unit Code (HUC) watershed. The product was developed by digitizing the active channel and primary riparian floodplain using historic 1935 aerial imagery (Arizona State University GeoData, 2021) and National Agriculture Imagery Program (NAIP) aerial imagery from 2019 (U.S. Department of Agriculture, 2021). This...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Geography,
Geomorphology,
Hydrology,
Land Use Change,
Remote Sensing,
We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas potentially more at risk for degradation and the associated relationship between riparian vegetation dynamics and climate conditions. The full suite of data products and a link to the associated publication addressing this analysis can be found on the Parent data release. For this study, the vegetation conditions are characterized using a series of remote sensing vegetation indices developing using satellite imagery, including the Normalized Difference Vegetation Index (NDVI) and the Tasseled Cap (TC) Transformation. The NDVI is a commonly used vegetation...
Ciénegas, as defined here, are wetlands in arid and semi-arid regions associated with groundwater or lotic components that ideally result in perennial waters on temporal scales of decades to centuries. Ciénegas are typically no lower than 0 m, and higher than 2000 m, rarely lower but sometimes higher elevation localities occur. Ciénegas are typified by significant differences in flora and fauna relative to the greater terrestrial conditions in the region in which it is located. Ciénegas are freshwater to brackish North American wetlands associated with fluvial systems of arid/semi-arid areas of the southwestern U.S. and northwestern Mexico. Once extensively utilized by the region's indigenous human cultures, early...
This zip file contains spatial, descriptive and digital camera image data for a vegetation field dataset collected on the San Carlos Apache Reservation and surrounding area in Arizona, and used for analysis in the associated publication. Data consists of vector point data, vegetation community type, field observations, and digital camera images that correspond with the images in the associated directory. This field data was used, in addition to historical field data from the SWReGAP project, to characterize the accuracy of the vegetation maps generated by the techniques described in the associated publication. The maps generated by these techniques did not improve on the accuracy of existing maps and are, therefore,...
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