Alexander Koltunov

Learn More
The British Petroleum Deepwater Horizon Oil Spill in the Gulf of Mexico was the biggest oil spill in US history. To assess the impact of the oil spill on the saltmarsh plant community, we examined Advanced Visible Infrared Imaging Spectrometer (AVIRIS) data flown over Barataria Bay, Louisiana in September 2010 and August 2011. Oil contamination was mapped(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)
The end user often needs to define extremely complex interpretation tasks and to require the analysis results to be quantitatively proven for each pixel without the test data. To this end, this paper extends the ideas underlying the modelbased unsupervised classification method previously proposed by us (Koltunov and Ben-Dor 2001). Consistently with that(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)
BACKGROUND Accurate estimation of aboveground forest biomass (AGB) and its dynamics is of paramount importance in understanding the role of forest in the carbon cycle and the effective implementation of climate change mitigation policies. LiDAR is currently the most accurate technology for AGB estimation. LiDAR metrics can be derived from the 3D point cloud(More)
Timely identification of wildfires by operational agencies maximizes their situational awareness and facilitates strategic and tactical planning and response activities. Traditional wildfire identification methods leave considerable uncertainties in complex decision making, thus highlighting the necessity to better leverage remote sensing technologies. To(More)
The availability of high-resolution digital elevation data (submeter resolution) from LiDAR has increased dramatically over the past few years. As a result, the efficient storage and transmission of those large data sets and their use for geomorphic feature extraction and hydrologic/environmental modeling are becoming a scientific challenge. This letter(More)
Coastal ecosystems are greatly endangered due to anthropogenic development and climate change. Multiple disturbances may erode the ability of a system to recover from stress if there is little time between disturbance events. We evaluated the ability of the saltmarshes in Barataria Bay, Louisiana, USA, to recover from two successive disturbances, the(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)