C. Ramirez

发表

A Bottom-up Approach to Vegetation Mapping of the Lake Tahoe Basin Using Hyperspatial Image Analysis

J. Greenberg, S. Dobrowski, S. Ustin, 2006 .

Updating land cover automatically based on change detection using satellite images: case study of national forests in Southern California

C. Ramirez, Juanle Wang, Shengli Huang, 2017 .

Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR

J. Greenberg, J. Pitkänen, C. Ramirez, 2018, Remote Sensing of Environment.

Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data

H. Balzter, S. Ustin, S. Saatchi, 2017, Journal of geophysical research. Biogeosciences.

Burned forest characterization at single-tree level with airborne laser scanning for assessing wildlife habitat

Susan L. Ustin, Angeles Casas, Alexander Koltunov, 2016 .

Trends and causes of severity, size, and number of fires in northwestern California, USA.

E. Knapp, Jay D. Miller, C. Ramirez, 2012, Ecological applications : a publication of the Ecological Society of America.

A Comparison of Spatial and Spectral Image Resolution for Mapping Invasive Plants in Coastal California

S. Ustin, C. Ramirez, E. Underwood, 2007, Environmental management.

F3: Simulating spatiotemporal forest change from field inventory, remote sensing, growth modeling, and management actions

C. Ramirez, Shengli Huang, M. McElhaney, 2018 .

Quantifying Spatiotemporal Post‐Disturbance Recovery Using Field Inventory, Tree Growth, and Remote Sensing

C. Ramirez, M. McElhaney, S. Huang, 2019, Earth and Space Science.

Mapping site index and volume increment from forest inventory, Landsat, and ecological variables in Tahoe National Forest, California, USA

C. Ramirez, Shengli Huang, Kama Kennedy, 2017 .

A New Approach to Extrapolate Forest Attributes from Field Inventory with Satellite and Auxiliary Data Sets

C. Ramirez, Shengli Huang, Kama Kennedy, 2017 .

LITIDA: a cost-effective non-parametric imputation approach to estimate LiDAR-detected tree diameters over a large heterogeneous area

C. Ramirez, Shengli Huang, Kama Kennedy, 2019, Forestry: An International Journal of Forest Research.

Use of imaging spectroscopy and LIDAR to characterize fuels for fire behavior prediction

E. N. Stavros, D. Schimel, C. Ramirez, 2018, Remote Sensing Applications: Society and Environment.

Cover of tall trees best predicts California spotted owl habitat

Gregory P. Asner, Malcolm P. North, Alexander Koltunov, 2017 .

Whitebark Pine Recruitment in Sierra Nevada Driven by Range Position and Disturbance History

C. Ramirez, Tanya Kohler, M. Slaton, 2019, Forests.

Towards a portable, scalable, open source model of tree cover derived from Landsat spectra

Bo Li, Qing Xu, Mark M. Fredrickson, 2016 .

Application of Hyperspectral Techniques to Monitoring and Management of Invasive Plant Species Infestation

Karen S. Olmstead, Edward T Tom, S. Ustin, 2008 .

Regional likelihood of very large wildfires over the 21st century across the western United States: Motivation to study individual events like the Rim Fire, a unique opportunity with unprecedented remote sensing data

J. Abatzoglou, D. Schimel, C. Ramirez, 2015 .

Meta-analysis of California Spotted Owl (Strix occidentalis occidentalis) territory occupancy in the Sierra Nevada: Habitat associations and their implications for forest management

C. Ramirez, R. J. Gutiérrez, A. Koltunov, 2016, The Condor.

Improving image derived vegetation maps with regression based distribution modeling

Carlos Ramirez, Susan L. Ustin, Jonathan A. Greenberg, 2006 .

Evaluating Endmember and Band Selection Techniques for Multiple Endmember Spectral Mixture Analysis using Post-Fire Imaging Spectroscopy

Susan L. Ustin, Zachary Tane, Dar A. Roberts, 2018, Remote. Sens..

An Integrated Approach to the Discrimination of Riparian Vegetation in the Navarro River Watershed, Mendocino County, California, USA

C. T. Sailer, C. Ramirez, J. Viers, 2002 .

A framework for detecting conifer mortality across an ecoregion using high spatial resolution spaceborne imaging spectroscopy

Stuart H. Sweeney, Zachary Tane, Dar A. Roberts, 2018 .

Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data

Heiko Balzter, Sassan Saatchi, Susan L. Ustin, 2017, Remote. Sens..

Remote Sensing Data Before and After California Rim and King Forest Fires, 2010-2015

E. N. Stavros, R. McGaughey, D. Schimel, 2016 .

eDaRT: The Ecosystem Disturbance and Recovery Tracker system for monitoring landscape disturbances and their cumulative effects

Susan L. Ustin, Alexander Koltunov, S. Ustin, 2020 .

Northwest California National Forests fire severity monitoring 1987-2008

E. Knapp, Jay D. Miller, C. Ramirez, 2012 .

Geospatial Risk Assessment of North Coast Watersheds in California

C. Ramirez, J. Viers, Joshua H. Johnson, 2003 .

Unprecedented remote sensing data over King and Rim megafires in the Sierra Nevada Mountains of California.

E. N. Stavros, R. McGaughey, D. Schimel, 2016, Ecology.