Displaying 581 - 590 of 723
Vegetation productivity decline calculated from the yearly maximum NDVI for 1986–2021, derived from Landsat 5/7/8 data, and overlaid on a 2021 Landcover Change Monitoring System composite, constructed from Landsat 8 OLI. Blue, purple, and pink represent grasses & forbs, shrubs, and trees respectively. Red over pink likely indicates beetle and drought disturbance. Data can be used to inform management and prepare public land for ecological change in the Grand Valley region of Colorado.

Forecasting Trends in Pinyon-Juniper and Sagebrush Habitat Relative to Wildfire, Drought, Beetle Disturbance, and Treatment Impact for Management Planning 

Topic
DEVELOP
Capacity Building
Ecological Conservation
Grand Valley Ecological Forecasting II (Summer 2022) Team: Bill Curtiss (Project Lead), Aliza White, Sam Majumder, Rhea Martinez Summary: Disturbances and landcover change in pinyon-juniper...
NDWI-processed composite image from Landsat 8 OLI data of the Lower Illinois River Valley and surrounding landscapes from summer 2021. Shades of pale yellow indicate dry vegetation and dark teal represents open water, while brighter turquois values depict wet vegetation. Areas of high NDWI values are demonstrative of high presence of wet vegetation and are of interest to the Great Rivers Land Trust in identifying areas of interest for wetland conservation.

Inundation Mapping of the Lower Illinois River Valley Using Synthetic Aperture Radar and Optical Satellite Imagery for Wetland Conservation and Restoration Prioritization Efforts 

Topic
DEVELOP
Capacity Building
Ecological Conservation
Lower Illinois River Valley Ecological Forecasting (Summer 2022) Team: Vanessa Machuca (Project Lead), Dana Myers, Hannah Rigdon, Christiana Saldana Summary: The Lower Illinois River Valley...
Median June composite of daily evapotranspiration from ECOSTRESS before the start of the Bootleg Fire on July 6th, 2021. Evapotranspiration is shown in millimeters per day across Klamath and Lake counties in Oregon, with dark blue indicating areas with higher evapotranspiration and light tan indicating lower evapotranspiration. Evapotranspiration is an indicator of vegetation moisture and can aid wildfire modeling by locating areas undergoing water-stress and susceptible to fire.

Integrating ECOSTRESS to Map and Analyze Vegetation Moisture for Wildfire Modeling 

Topic
DEVELOP
Wildfires
Capacity Building
Oregon Wildfires (Summer 2022) Team: Brenna Hatch (Project Lead), Kenya Creer, Jennifer Sobolewski, Nicole Roberts Summary: Wildfire season in the western USA is starting earlier...
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
Wildfires
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...
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...

Connect with the Applied Sciences Program

With help from NASA’s Earth-observing satellites, our community is making a difference on our home planet. Find out how by staying up-to-date on their latest projects and discoveries.

Stay Connected