LiDAR for Sonoma County

Benefits and Applications
The benefits of LiDAR for land and water management, planning and engineering are wide ranging.  The following discussion demonstrates some of these benefits as they apply to Sonoma County.


Forest Management and Measuring Forest Carbon
forest_managementLiDAR data is used to create automated forest structure metrics, such as tree height and canopy density.  Forest structure metrics can be combined with forest plot data to produce accurate models of forest biomass and aboveground carbon sequestration. Read this 2010 New York Times article titled “New Map Shows Measuring Carbon in Amazon Is Feasible.”  See the videos at the bottom of this post for more on using LiDAR for forest management, forest inventory and biomass mapping.


Vegetation and Habitat Mapping
veg_mapOne of the main products of the Sonoma County Vegetation Mapping and LiDAR program will be a fine scale vegetation and habitat map of the entire county.  Mapping vegetation involves developing a classification of the county’s vegetation types, interpreting aerial photographs and imagery using human interpreters and computer algorithms, and verifying vegetation characteristics in the field.  LiDAR data is extremely useful for vegetation & habitat mapping, as well as riparian area mapping and crop type mapping.

PG&E and other utilities periodically collect LiDAR data for their transmission lines.  One major application of this data is to target danger trees for removal.  If a danger tree falls in the direction of a high voltage line, it could hit and damage the line or start a wildfire.  Danger trees are identified by combining LiDAR derived tree height & location information with LiDAR derived line height & location information.


Floodplain Mapping, Flood and Tsunami Inundation Modeling
floodingHighly accurate digital elevation data is a prerequisite for accurate floodplain mapping and flood inundation modeling (from river flooding, tsunami, or storm surge).  High resolution LiDAR-based DEMS greatly improve the accuracy of flood mapping.

Using LiDAR data, a team of researchers from the College of Staten Island successfully predicted coastal inundation extent resulting from Hurricane Sandy.  An article in the February 13, 2013 New Yorker Magazine states “The C.S.I. study had predicted the extent of flooding uncannily-the projected flood zone proved to be accurate to the street, and almost to the house.”  Click here for the New Yorker article.

Read this article about flood management and planning in the Red River Basin of the North Dakota.


Calculating Solar Power Potential for a Roof Top or Land Parcel
solar
SCEIP (the Sonoma County Energy Independence Program) has funded 1750 residential and 57 commercial installations of solar energy since it started in the late 2000’s.  It provides low cost loans that pay for the system; the homeowner or business owner pays the loan back as part of their property taxes.  LiDAR data provides very accurate roof pitch and roof aspect information for entire areas, as well as information that can be used to predict roof shadedness.  The City and County of LA’s Solar Map and Green Planning Tool is underpinned by LiDAR data.  Estimating solar potential of roofs and vacant lots using LiDAR data has become a big business.  Read the May, 2011 article from Forbes Magazine titled “How Much Energy Can Your Roof Generate.”   See the second half of the article for the LiDAR related discussion.  New York City has also recently collected LiDAR data and used the data to map rooftop solar potential.  This effort is described in a New York Times article where the NYC Deputy Mayor of Operations is quoted as saying, “the quality of the LiDAR information is so remarkable that it will much more rapidly unlock usable sites.”


Precision Agriculture and Crop Planning
precision_agLiDAR is used to create very accurate DEMs and contours that characterize the landscape in a much more refined and detailed way than 10-meter USGS DEMs.  The ability to map micro topography is important for crop planning.  For example, vineyard managers use topographic maps (and other data) to divide a vineyard into zones based on physical site properties, climate, and soil type.  LiDAR data will produce far more accurate depictions of topography than what is available today.


Elevation Contours and DEMs
contours_dems
Digital Elevation Models (DEMS) are produced from LiDAR data at a much higher resolution than USGS DEMS.  LiDAR produces elevation models of the terrain at ground level as well as at the highest surface (buildings & tree canopy).  LiDAR data is capable of producing 1 foot elevation contours.

Potential beneficiaries of high resolution DEMs and 1 foot contours in Sonoma County include city and county planning departments, land managers, farmers, builders, and engineering firms.


Monitoring the Effects of Sea Level Rise
sea_levelSea level rise will affect Sonoma County along the Pacific Coast and in areas adjacent to the tidal wetlands of Southern Sonoma County.  LiDAR data (combined with accurate bathymetric data and advanced modeling techniques) produces very accurate projections of coastal inundation as a result of storm surge and/or sea level rise.  County planners and the California Department of Transportation (CalTrans) will benefit from LiDAR data when planning for the effects of sea level rise on the Sonoma County baylands and on Highway 37 in southern Sonoma County.


Landslide & Fault Detection and Mapping
landslide_fault
Since LiDAR penetrates the tree canopy, creating a very detailed model of the bare earth surface, LiDAR is a valuable tool for mapping faults, landslides, and debris flows – especially those obscured by vegetation.  LiDAR is also used to produce landslide susceptibility maps.  See the video at the end of this post from the Southern California Earthquake Center – it provides an overview of LiDAR and how it is used to identify and map earthquake faults.


Engineering Planning
eng_planningLiDAR produces very detailed contours and elevation models useful for engineering planning.  Uses include transmission corridor and pipeline planning, storm water modeling, drainage analysis, cut and fill analysis, master planning, grading, erosion control, and roadway design.  LiDAR is very effective for and for evaluating the relative merits of alternative sites for a project.

LiDAR is used in numerous water related engineering planning activities such as diversion channel routing, hydraulic analysis, flood control impoundment planning, cut and fill analysis, and 3D project visualization.  High resolution topographic data (usually derived from LiDAR) is necessary for flood inundation mapping.  Dam breach analysis and resulting flood inundation mapping often relies on LiDAR data, which provides much more accurate results than analysis using 10 meter USGS DEMs.


Pervious/Impervious Surface Mapping
perv_imperv
LiDAR data aids in the effective mapping of pervious and impervious areas across a landscape.  Maps of pervious and impervious surfaces are useful for managing and modeling stormwater runoff, hydrologic modeling, habitat modeling, and urban planning.


Fuel Mapping and Fire Hazard Modeling
fire_fuels

Because it depicts the forest in three dimensions, LiDAR data improves the accuracy of fuel maps and increases the accuracy of fire risk and fire behavior models.  LiDAR is increasingly used by state and federal agencies to assist in mapping fuels, fire risk, and fire behavior.


Videos that Demonstrate Some of LiDAR’s Benefits

Watch the ESRI Video Below, entitled “Improving Operational Planning Using Forest Inventories and GIS”

The video below from the Southern California Earthquake Center provides an overview of LiDAR and how it is used to identify and map earthquake faults.

Watch the video below from the United States Forest Service titled “Modeling Biomass and Canopy Fuel Attributes Using LiDAR”

Watch the “Introduction to LiDAR” video below from ASPRS (American Society of Photogrammetry and Remote Sensing)

Other LiDAR-Related Links