Description

This advanced-level training focuses on using remote sensing observations for monitoring post-fire impacts on watershed health, and builds on the ARSET training offered in 2021: Satellite Observations and Tools for Fire Risk, Detection, and Analysis. Specifically, this training highlights uses of NASA Earth observations (EO) for pre-fire land cover mapping, watershed delineation and stream mapping, post-fire burn severity mapping, and pre- and post-fire riverine and freshwater water quality. This training highlights case studies that use remote sensing data for assessing the impacts of fires on watersheds. This training also provides participants with hands-on exercises for using NASA EO for these assessments within the Soil Water Assessment Tool (SWAT) and Google Earth Engine.

Prerequisites

Sessions

Part 1: Satellite Observations and Tools for Fire Risk

• Provide examples of fire science criteria for drought conditions in a given watershed pre-fire to select the appropriate data from satellites/instruments for a watershed of interest
• Demonstrate how to delineate river basins and subbasins for a watershed of interest
• Calculate anomalies in biophysical and meteorological conditions for a watershed of interest
• Q & A Session

ARSET Instructors

 Sean McCartney, Amita Mehta, Erika Podest

Materials

• Part 1 Presentation Slides (PDF, 12.8MB)
• Part 1 Q&A Document (PDF, 0.2MB)

[Optional] Although NOT A PREREQUISITE: To follow along with the demonstration for Part 1, please create an account to login to Google Earth Engine.

Materiales en Español

• Diapositivas de la Presentación de parte 1 (PDF, 8.0MB)

Part 2: Earth Observations and The Soil & Water Assessment Tool (SWAT) for Assessing Post-Fire Water Quality in Watersheds

• Identify physically-based model components necessary to run a SWAT model to predict the impact of management on water and sediment in a watershed
• Ingestion of Earth remote sensing data into SWAT model using NASAaccess
• Recognize best practices used to conduct calibration in SWAT
• Q&A Session  (30 minutes)

ARSET Instructor 

Sean McCartney

Guest Instructors

Ibrahim Mohammed, Mandy Lopez

Materials

• Part 2 Presentation Slides (PDF, 21.6MB)
• Part 2 Q&A Document (PDF, 0.2MB)

Materiales en Español

• Diapositivas de la Presentación de parte 2 (PDF, 12.6MB)

Part 3: Using Google Earth Engine to Monitor Post-Fire Impacts

• Identify global socioeconomic datasets and land cover products useful for assessing the impact of fire on population, infrastructure, and land use & land cover types
• Acquire land use & land cover maps for a watershed of interest
• Evaluate the severity of post-fire burns within a watershed of interest
• Q & A Session  (30 minutes)

ARSET Instructors

Amber McCullum, Juan Torres-Pérez, Britnay Beaudry, Sativa Cruz

Materials

• Part 3 Presentation Slides (PDF, 18.2MB)
• Part 3 Q&A Document (PDF, 0.2MB)

Homework

• Homework (Due 27 July 2023)

Materiales en Español

• Diapositivas de la Presentación de parte 3 (PDF, 6.5MB)

Tarea 

• Tarea (27 de julio de 2023)