Sherba, J., Blesius, L., & Davis, J. (2014). Object-based classification of abandoned logging roads under heavy canopy using LiDAR. Remote Sensing, 6(5), 4043-4060.
Jason Sherba
Biography
Jason works on the Land-use and Climate Change Team at the Western Geographic Science Center. His current work focuses on building tools to facilitate analysis and management of land-use and climate data. Jason is also involved in web development and data management for the LandCarbon Team. He received a B.S. in Environmental Science and Management from the University of California, Davis and an M.S. in Geographic Information Science from San Francisco State University. Jason’s research interests include geospatial data analysis, WebGIS and data management.
Science and Products
Date published: September 6, 2018
Status: Active CDI Risk Map
The Community for Data Integration (CDI) Risk Map Project is developing modular tools and services to benefit a wide group of scientists and managers that deal with various aspects of risk research and planning. Risk is the potential that exposure to a hazard will lead to a negative consequence to an asset such as human or natural resources. This project builds upon a Department of the...
Attribution: Community for Data Integration (CDI)
Date published: October 1, 2017
Status: Active Web Mapping Application for a Historical Geologic Field Photo Collection
Geotagged photographs have become a useful medium for recording, analyzing, and communicating Earth science phenomena. Despite their utility, many field photographs are not published or preserved in a spatial or accessible format—oftentimes because of confusion about photograph metadata, a lack of stability, or user customization in free photo sharing platforms. After receiving a request to...
Attribution: Community for Data Integration (CDI)
Date published: June 19, 2017
Status: Active National land use projections
A major scientific challenge in global change research is connecting coarse-scale global assessments, particularly those involving the projection of land use, to scales relevant and useful for analysis and management. We have downscaled land use projections from two global scenario frameworks, the Special Report on Emission Scenarios (SRES), and the Representative Concentration Pathways (RCPs...
Contacts: Benjamin Sleeter, Jason Sherba
Attribution: Western Geographic Science Center
Date published: April 12, 2017
Status: Active Land Use and Climate Change Team
We are a research team focusing on understanding the rates, causes, and consequences of land change across a range of geographic and temporal scales. Our emphasis is on developing alternative future projections and quantifying the impact on environmental systems, in particular, the role of land-use change on ecosystem carbon dynamics.
We are interested in how land-use and climate...
Date published: March 8, 2016
Status: Active A web-based application for the management and visualization of land-use scenario data
Land-use researchers need the ability to rapidly compare multiple land-use scenarios over a range of spatial and temporal scales, and to visualize spatial and nonspatial data; however, land-use datasets are often distributed in the form of large tabular files and spatial files. These formats are not ideal for the way land-use researchers interact with and share these datasets. The size of...
Contacts: Jason Sherba, Benjamin Sleeter
Attribution: Community for Data Integration (CDI)
Date published: April 12, 2017
California Land-change Projections
This dataset consists of modeled projections of land use and land cover and population for the State of California for the period 1970-2101. For the 1970-2001 period, we used the USGS's LUCAS model to "backcast" LULC, beginning with the 2001 initial conditions and ending with 1970. For future projections, the model was initialized in 2001 and run forward on an annual time step to 2100.
Attribution: Western Geographic Science Center
Pre-USGS Publications
Liu, X., Hu, P., Hu, H., & Sherba, J. (2012). Approximation theory applied to DEM vertical accuracy assessment. Transactions in GIS, 16(3), 397-410.
Date published: November 9, 2015
Newly Released Photo Catalog Puts US Landscapes On Exhibit
The U.S. Geological Survey announced today that it has made part of a huge national repository of geographically referenced USGS field photographs publicly available. USGS geographers developed a simple, easy-to-use mapping portal called the Land Cover Trends Field Photo Map.
Attribution: Land Resources