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NDMI over a wildland urban interface in central Chile generated from Landsat 8 OLI median-reduced data from March 1, 2018 through February 28, 2022. Orange areas represent vegetated shrublands and forests with low moisture content and green areas representing vegetated agricultural areas with high moisture content. The NDMI was used as a proxy for wildfire fuel moisture in a wildfire risk assessment.

Utilizing NASA and NOAA Earth Observations to Determine Lightning-induced Wildfire Risks in Central Chile

Topic
DEVELOP
Wildland Fires
Capacity Building
Chile Wildfires (Summer 2022) Team: Chris Matechik (Project Lead), Reuben Alter, Jennifer Ruiz, Stephen Sene Summary: In recent years, Central Chile has experienced wildfires of...
Supercell thunderstorm over Nebraska
Disasters

Talking Weather and Climate Change on the “Ready or Not Change is Coming” Podcast

By
Jacob Reed, NASA Disasters
The image displays NDVI calculated over the Guadalupe Mountain Range in Western Texas captured May 2020 by Landsat 8 OLI. Areas shaded green indicate tree canopy while yellow and red areas indicate arid landscapes. NDVI was used to visualize vegetation health and inform the National Park Service’s future management initiatives.

Identifying Vegetation Trends and Atmospheric Stressors in the Guadalupe Mountains and Carlsbad Caverns National Parks 

Topic
DEVELOP
Capacity Building
Ecological Conservation
Delaware Basin Ecological Forecasting (Summer 2022) Team: Jack Mezger (Project Lead), Mark Bossinger, Gillian McNamara, Quinn Heiser Summary: The Guadalupe Mountains and Carlsbad Caverns National...
Enhanced Wetland Classification of the Slave River Delta, NWT, Canada using Landsat 8 OLI imagery from June through August 2021.  Most of the colors represent different categories of wetland.  Many of the darker green areas represent areas where wetlands have transitioned to dryer forests or shrubs in recent decades.

Mapping Long-Term Changes in the Hydroecology of the Slave River Delta Using NASA Earth Observations 

Topic
DEVELOP
Capacity Building
Water Resources
Great Slave Lake Water Resources (Summer 2022) Team: Yuhe Chang (Project Lead), Virgil Alfred, Ethan McIntosh, Catherine Shea Summary: Indigenous communities around the Great Slave...
Top layer: NDTI processed imagery of Lake Champlain derived from Landsat 8 TOA data (5/1/21 - 9/30/21). Bright orange and red represent areas of greater turbidity, which often corresponds to algal presence, whilst dark areas indicate low turbidity. Bottom layer: Slope imagery from SRTM (last updated 11/2018) of the Lake Champlain Watershed. Yellow shows areas with higher slopes, which have a greater risk of phosphorus runoff, while blue shows areas with a lesser slope.

Using NASA Earth Observations to Identify Spatial and Seasonal Trends of Harmful Algal Events in Lake Champlain 

Topic
DEVELOP
Capacity Building
Water Resources
Lake Champlain Water Resources (Summer 2022) Team: Brianne Kendall (Project Lead), Laramie Plott, Ian Turner, Aaron Carr Summary: Lake Champlain provides clean drinking water for...
False-color imagery from Landsat 8 surface reflectance. The 2021 median composite image depicts the landscape and vegetation sites in the regions of western Bhutan, specifically the districts of Punakha, Wangdue Phodrang, Thimphu, and Paro. The band combination highlights fallow agriculture fields in light brown, dense urban areas in purple, forest cover in green, snow in light blue, and rocky areas in darker brown.

Creating a Graphical User Interface, Crop Mask, and Data Collection Protocol for Analysis of Rice Crop in Bhutan Using Remotely Sensed Data 

Topic
DEVELOP
Capacity Building
Agriculture
Bhutan Agriculture II (Summer 2022) Team: Wangdrak Dorji (Project Co-Lead), Tenzin Wangmo (Project Co-Lead), Karma Dorjee, Sonam S Tshering Summary: Agriculture is an essential sector...
NDVI over Mato Grosso, Brazil processed from March 2021 Landsat-8 OLI data. Calculated NDVI values correspond with colors shown to indicate plant health. High NDVI values (green to blue) indicate dense vegetation found in tropical and temperate forests or crops at their peak growth. Low values (yellow to red) depict barren land, water, and moisture-stressed vegetation. These data can support timely and efficient agricultural responses to ensure productive yields and food security.​

Enhancing Crop Classification Mapping Using Optical and Radar Satellite Sensors to Enhance Agricultural Management and Policymaking in Mato Grosso, Brazil  

Topic
DEVELOP
Capacity Building
Agriculture
Mato Grosso Agriculture (Summer 2022) Team: Max Rock (Project Lead), Elijah Dalton, Aidan Harvey, Kate Reynolds Summary: Ranked as the fourth largest food producer in...
This image of the Chesapeake Bay is derived from NASA Landsat 7 ETM+ and Landsat 8 OLI imagery. It represents median Normalized Difference Turbidity Index (NDTI) turbidity levels from January 2020 through June 2022. Yellow and orange areas indicate higher turbidity levels. This imagery can be used to determine areas of the bay in which turbidity poses a threat to water quality.

Characterization of Sediment Dynamics for Enhanced Water Quality Monitoring in the Chesapeake Bay 

Topic
DEVELOP
Capacity Building
Water Resources
Chesapeake Bay Water Resources (Summer 2022) Team: Katherine Hahn, Julia Atayi, Julia Portmann, Abigail Sgan Summary: An increase in total suspended sediment (TSS) concentrations and...
photo of woman standing next to map
Wildland Fires

An Inside Look at U.S. Wildland Fire Response

By
Jenessa Stemke, NASA FireSense intern
Photo of man on stage gesturing toward a wall of video screens
Applied Sciences

AGU Meeting 2022

By
Aries Keck

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