Using LiDAR to Understand Ecosystems

LiDAR (Light Detection and Ranging) is an optical remote sensing technology that uses laser pulses to determine the distance between the sensor and a surface or object. LiDAR has emerged as one of the most important sources of data for topographic mapping, vegetation analysis, and 3D modeling of infrastructure. Specific uses of this technology include floodplain mapping, transportation planning and design, resource and environmental management, and emergency response. New uses for LiDAR data are emerging. A thorough understanding of LiDAR technology and its application in Geographic Information Systems (GIS) will assist watershed and conservation professionals to be on the leading edge of data-driven adaptations for the changing natural environment.  

​This microcredential is an introduction to the capabilities of LiDAR and associated technologies to support watershed resilience. Learners will use data sources in a broad range of applications to understand ecosystems and build watershed resilience. 

This training may be of interest to individuals working with watershed organizations, public school teachers, environmental organizations, and anyone interested in environmental sustainability. 

By the end of this training, learners will create a plan to use geospatial data to support watershed resilience.      

​The assessment for this microcredential will require learners to:   

• ​Select appropriate tools and data types to include in the plan to support watershed resilience 
• ​Gather LiDAR data, satellite imagery, drone imagery, and other sources   
• ​Interpret data using GIS software 
• ​Justify decisions regarding tools and data types 

​In order to develop competency, learners will: 

• ​Understand the fundamentals of LiDAR, drone, and satellite imagery 
• ​Understand the application of data to watershed management   
• ​Examine how LiDAR and associated data can be collected for a project 

Data and analysis of such data with respect to our ecosystems enables us to make proactive decisions and produce actions to better protect our natural environment. Lidar data supports activities such as inundation and storm surge modeling, hydrodynamic modeling, shoreline mapping, emergency response, hydrographic surveying, and coastal vulnerability analysis.