Carlos Ramirez

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Increasing demands on the accuracy and thematic resolution of vegetation community maps from remote sensing imagery has created a need for novel image analysis techniques. We present a case study for vegetation mapping of the Lake Tahoe Basin which fulfills many of the requirements of the Federal Geographic Data Committee base-level mapping (FGDC, 1997) by(More)
a Department of Land, Air and Water Resources, One Shields Avenue, University of California, Davis, CA, USA b University of Leicester, Centre for Landscape and Climate Research, University Road, Leicester, LE1 7RH, UK c Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA d The Institute for Bird Populations, Point Reyes(More)
Quantifying biomass consumption and carbon release is critical to understanding the role of fires in the carbon cycle and air quality. We present a methodology to estimate the biomass consumed and the carbon released by the California Rim fire by integrating postfire airborne LiDAR and multitemporal Landsat Operational Land Imager (OLI) imagery. First, a(More)
We explored the potential of detecting three target invasive species: iceplant (Carpobrotus edulis), jubata grass (Cortaderia jubata), and blue gum (Eucalyptus globulus) at Vandenberg Air Force Base, California. We compared the accuracy of mapping six communities (intact coastal scrub, iceplant invaded coastal scrub, iceplant invaded chaparral, jubata grass(More)
Researchers at the Information Center for the Environment (ICE) are using ArcGIS to inventory and monitor environmental risks to California’s north, coastal watersheds. In collaboration with state agencies, ICE has created a comprehensive GIS for selected watersheds in which water quality improvement and endangered species recovery is paramount. ICE has(More)
We assessed the occupancy dynamics of 275 California Spotted Owl (Strix occidentalis occidentalis) territories in 4 study areas in the Sierra Nevada, California, USA, from 1993 to 2011. We used Landsat data to develop maps of canopy cover for each study area, which we then used to quantify annual territory-specific habitat covariates. We modeled the(More)
Accurate, spatially explicit information about forest canopy fuel properties is essential for ecosystem management strategies for reducing the severity of forest fires. Airborne LiDAR technology has demonstrated its ability to accurately map canopy fuels. However, its geographical and temporal coverage is limited, thus making it difficult to characterize(More)
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