Use of Solar Induced Fluorescence and LIDAR to Assess Vegetation Change and Vulnerability

Solar-induced Fluorescence Map. Image: NASA

Organizadores del evento: 

NASA ARSET

Fecha: 

16/03/2021

Descripción: 

This introductory webinar will cover the fundamentals of Solar Induced Fluorescence (SIF) and LIDAR, their applications, and an overview of different satellite data sources that are openly available. In addition, it will also include a step-by-step guide on how to access, open, and interpret SIF and LIDAR data.

SIF is a relatively new satellite retrieval, providing a direct measurement related to plant photosynthetic activity. It serves as a strong proxy to gross primary production (GPP), capturing dynamic responses of vegetation to stressors such as drought and temperature.

LIDAR is a system that illuminates a target and measures distance through the time taken for a pulse to reflect back to the sensor. LIDAR can be used to generate topography and vegetation height maps and retrieve digital elevation data necessary for flood modeling and vulnerability, along with risk analysis. They are valuable datasets for post-disaster assessment of debris deposition, vegetation loss, and flooding.

Course Format

The online training will be divided into four parts and two seperate sessions, which take place at different times. Each part will be two hours long. The first session will be conducted in English and the second session will conducted be in Spanish.

The online training will take place on March 16th, 18th, 23rd and 25th, 2021.
 
  • The first session will be offered from 11:00 am - 01:00 pm EDT (English)
  • The second session will be offered from 2:00 pm - 4:00 pm EDT (Spanish)

Objective

By the end of this training, attendees will be able to:

  • Understand the basic concepts of SIF and LIDAR sensors
  • Interpret the measurements and how they can be used to address different applications
  • Access, open, and analyze SIF and LIDAR data

Target Audience: 

Academia as well as local, regional, state, federal, and international organizations interested in using satellite imagery to support applications related to vegetation studies and disasters.

Idioma del evento: 

English
Español

Tipo de formación: 

web-based

Tipo de amenaza natural: 

Satellites and Sensors: 

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