SAR for Detecting and Monitoring Floods, Sea Ice, and Subsidence from Groundwater Extraction
October 24, 2023 - November 1, 2023
Generate subsidence maps due to groundwater extraction to inform risk and resource management
Detect and monitor sea ice to identify potential risks to shipping and coastal erosion
Detect and monitor floods in order to more closely monitor increase/recession of flood waters and better inform disaster response and management
Spectral Indices for Land and Aquatic Applications
October 26, 2023 - November 9, 2023
Recognize commonly used spectral indices in land and aquatic environments
Distinguish between spectral indices to select those best suited for a given land or aquatic system of interest
Compute spectral index calculations over appropriate areas of interest
Acquire spectral index products from a variety of sources
Calculating NDVI in Google Earth Engine
Index Calculation in GEE : Normalized Difference Chlorophyll Index (NDCI), Normalized Difference Aquatic Vegetation Index (NDAVI), Floating Algal Index (FAI), Normalized Difference Turbidity Index (NDTI)
Index Calculation in GEE : Enhanced Vegetation Index (EVI), Soil-Adjusted Vegetation Index (SAVI), Normalized Burn Ratio (NBR)
GIS for Climate Action
Satellite Data for Air Quality Environmental Justice and Equity Applications
August 23, 2023 - September 6, 2023
Describe, at a high level, how satellite data have been combined with socioeconomic information to investigate EJ issues such as heat exposure or access to green space.
Identify remote sensing data products which are most relevant to assessing EJ related to air quality and pollutant exposure
Articulate the benefits and limitations of using remote sensing data to assess EJ concerns related to air quality
Import relevant air quality datasets into EJSCREEN, and use EJSCREEN to investigate and compare air quality with other environmental and demographic datasets.
Pair appropriate satellite datasets for environmental indicators (air quality) with demographic information using Python
Demonstration of satellite data visualization tools using:
Homework: Satellite Data for Air Quality Environmental Justice and Equity Applications
Assignment: Satellite Data for Air Quality Environmental Justice and Equity Applications
Sensors, tools, & software addressed: MODIS, VIIRS, GOES, OMI, TROPOMI, TEMPO
Spatial Data Science: The New Frontier in Analytics
Monitoring Water Quality of Inland Lakes using Remote Sensing
This advanced-level training will focus on using remote sensing observations from Landsat 8 and 9, Sentinel-2, and Sentinel-3 for assessing water quality parameters, including chlorophyll-a concentration, turbidity, and Total Suspended Solids (TSS) in inland lakes. This training will also highlight the importance of in situ measurements of these parameters, coincident with satellite observations, in developing methodologies for operational water quality monitoring. Participants will perform hands-on exercises in Google Earth Engine (GEE) to access satellite data and develop methodologies to assess water quality parameters. In addition, an overview of Cyanobacteria Assessment Network (CyAN), an early warning system to assess algal blooms in freshwater lakes will be provided.
Exercise Information:
Demonstration and Exercise:
Calculate spectral indices as indicators of water quality from Landsat, Sentinel-2, and Sentinel-3 observations
Develop statistical coefficients to derive water quality parameters based on remote sensing and in situ data
Homework: Monitoring Water Quality of Inland Lakes using Remote Sensing
This assignment: Monitoring Water Quality of Inland Lakes using Remote Sensing