Geographer
Email:
aalorenz@usgs.gov
Office Phone:
650-329-4237
Fax:
650-329-5546
ORCID:
0000-0003-3657-5941
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We produced a time series of maps of habitat structure within wetlands of the Central Valley of California. The structure of open water and tall emergent vegetation, such as Typha spp. and Schoenoplectus spp., is critical for migratory birds. Through field observation and digitization of high resolution imagery we identified the locations of tall emergent vegetation, water, and other land cover. Using a random forest classification, we classified multispectral Landsat 8 imagery 2013-2017. We used images from the fall when most wetlands are flooded and the summer to separate trees and tall emergent vegetation. The final maps show the distribution and extent of tall emergent vegetation within wetlands. Final time...
Tags: California,
Central Valley,
Central Valley of California,
Ecology,
Emergent Vegetation, All tags...
Geography,
LANDSAT,
LANDSAT 8,
Land Use Change,
Landscape,
Planet,
Remote Sensing,
Sacramento,
San Joaquin,
USGS Science Data Catalog (SDC),
Wetlands,
biota,
birds,
environment,
habitats,
image collections,
migratory birds,
multispectral imaging,
remote sensing,
satellite imagery,
shore birds,
wetland ecosystems, Fewer tags
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. Vegetation maps were created by classifying Landsat imagery from 2007-2011 and 2013-2017. A support vector machine learning classifier was trained using phenology metrics of moist soil seed plants, emergent vegetation, water, and other land cover observed via field surveys and high resolution imagery. Productivity maps of swamp timothy were based on a regression model of seed head weight with Landsat vegetation indices....
Tags: California,
Central Valley,
Ecology,
Environmental Health,
Geography, All tags...
Information Sciences,
Remote Sensing,
Sacramento,
San Joaquin,
USGS Science Data Catalog (SDC),
Water Resources,
Wildlife Biology,
biota,
environment,
habitats,
image collections,
multispectral imaging,
remote sensing,
wetland ecosystems, Fewer tags
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory waterfowl. Through field observation and digitization of high resolution imagery we identified the locations of moist soil seed plants, tall emergent vegetation, water, and other land cover. Using a Support Vector Machine classification, we classified multispectral Landsat imagery from 2007-2011 and 2013-2017. We used images from May through August to create phenology metrics. The final datasets were used to train and test the...
Tags: California,
Central Valley,
Sacramento,
San Joaquin,
biota, All tags...
environment,
habitats,
image collections,
multispectral imaging,
remote sensing,
wetland ecosystems, Fewer tags
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. For each of the Moist Soil Seed maps from 2007 to 2017, we mapped productivity of swamp timothy where swamp timothy was mapped according to a multiple regression of the average log seed head weight per Landsat pixel to Landsat derived values for green chlorophyll index (NIR/green - 1), swir1 reflectance, red green simple ratio (red/green) and SSURGO derived percent clay (STprod). For areas mapped as watergrass, we mapped...
Tags: California,
Central Valley,
Sacramento,
San Joaquin,
biota, All tags...
environment,
habitats,
image collections,
multispectral imaging,
remote sensing,
wetland ecosystems, Fewer tags
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This data provides county level occurrence information for all individuals used in modelling potential exposure and spread of highly pathogenic avian influenza (HPAIv) from the 2021-2022 North American outbreak. The data set contains individual identifiers and taxa information, an indicator of exposure, exposure status (Susceptible, Exposed by HPAIv detection in the county, or Exposed by secondary contact with an exposed bird), and date of first occurrence of each individual bird and that bird's exposure status within each visited county. Herein, county refers to any county, parish, borough, census area, or geographic region identified in the associated geospatial data US_CAN_AI.shp (ESRI shapefile format). Occurrence...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Canada,
Ecology,
Remote Sensing,
USGS Science Data Catalog (SDC),
United States, All tags...
Wildlife Disease,
avian influenza,
biogeography,
biota,
birds,
disease vectors,
economy,
geoscientificInformation,
location,
maps and atlases,
migratory species, Fewer tags
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