Research Geographer
Western Geographic Science Center
Email:
jjwalker@usgs.gov
Office Phone:
520-670-5019
Fax:
520-670-5113
ORCID:
0000-0002-3225-0317
Location
UA - ENRB - AZWSC
520 N. Park Ave
Tucson
, AZ
85719
US
Supervisor:
Christopher E Soulard
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Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States,
Dynamic Surface Water Extent,
Level I Ecoregions,
Level III Ecoregions,
Mann-Kendall Trend Analysis, All tags...
Moderate Resolution Imaging Spectroradiometer (MODIS),
Sen's Slope,
Surface Water, Fewer tags
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Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States,
Dynamic Surface Water Extent,
Level I Ecoregions,
Level III Ecoregions,
Mann-Kendall Trend Analysis, All tags...
Moderate Resolution Imaging Spectroradiometer (MODIS),
Sen's Slope,
Surface Water, Fewer tags
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This data release comprises the data files and code necessary to perform all analyses presented in the associated publication. The *.csv data files are aggregations of water extent on the basis of the European Commission's Joint Research Centre (JRC) Monthly Water History database (v1.0) and the Dynamic Surface Water Extent (DSWE) algorithm. The shapefile dataset contains the study area 8-digit hydrologic unit code (HUC) regions used as the basis for analysis. Html files provide an overview of the study workflow and integrated R notebooks (in .Rmd format) for recreating all project results and plots. The R notebook ingest the necessary data files from their online locations. These data support the following publication:...
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This tabular, machine-readable CSV file contains annual phenometrics at locations in ponderosa pine ecosystems across Arizona and New Mexico that experienced stand-clearing, high-severity fire. The locations represent areas of vegetative recovery towards pre-fire (coniferous/pine) vegetation communities or towards novel grassland, shrubland, or deciduous replacements. Each sampled area is associated with the point location (latitude/longitude) as well as multiple calendar year phenometrics derived from the time-series of normalized difference vegetation index (NDVI) values in the phenology software package Timesat v3.2.
Categories: Data;
Tags: Arizona,
Ecology,
Fire,
Forest,
Geography, All tags...
NDVI,
New Mexico,
Phenometrics,
Pinus ponderosa,
Ponderosa pine,
Remote Sensing,
USGS Science Data Catalog (SDC),
biota,
fire damage,
fires,
forest ecosystems,
forests,
phenology, Fewer tags
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Forests in Washington State generate substantial economic revenue from commercial timber harvesting on private lands. To investigate the rates, causes, and spatial and temporal patterns of forest harvest on private tracts throughout the central Cascade Mountain area, we relied on a new generation of annual land-use/land-cover (LULC) products created from the application of the Continuous Change Detection and Classification (CCDC) algorithm to Landsat satellite imagery collected from 1985 to 2014. We calculated metrics of landscape pattern using patches of intact and harvested forest patches identified in each annual layer to identify changes throughout the time series. Patch dynamics revealed four distinct eras...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Cascade Mountains,
Cascade Range,
Forestry,
Geography,
LCMAP; CCDC; land use; land cover; land change; forest harvest, All tags...
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
United States,
Washington (state),
forest ecosystems,
forest resources,
geoscientificInformation,
image collections AND multispectral imaging,
imageryBaseMapsEarthCover, Fewer tags
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