Displaying 3301 - 3310 of 3734
A remote sensing scene of wildfire extent in the Black Hills in South Dakota

Mapping Post-fire Conifer Regeneration using Snow-on Imagery 

Topic
DEVELOP
Wildland Fires
Capacity Building
Black Hills Wildfires (Summer 2022) Team: Casey Menick (Project Lead), Haley Stuckmeyer, Heidi Rogers, Yeshey Seldon Summary: The 2000 Jasper Fire in the Black Hills...
Forest cover and land surface temperature (LST) around Maine's Penobscot River during Summer 2021. The shades of green distinguish between evergreen (dark) and deciduous (light) forest which were classified using Landsat 8 OLI imagery. The purple gradient corresponds to LST derived from Terra MODIS where the warmest areas, including Bangor, are white. Changing land use and warming temperatures along Maine’s rivers are associated with reducing juvenile Atlantic salmon (Salmo salar) survivorship.

Utilizing Earth Observations to Monitor Federally Endangered Atlantic Salmon (Salmo Salar) Habitat in Maine: An Interactive Workshop 

Topic
DEVELOP
Capacity Building
Ecological Conservation
Maine Ecological Forecasting III (Summer 2022) Team: Jonathan Falciani (Project Lead), Colin Hogan, Linda Mitchell, Makario Sarsozo Summary: Shifting patterns in land use and land...
Median daily evapotranspiration (ET) from September 2021 to May 2022 calculated from ISS ECOSTRESS data. The image covers the agricultural fields adjacent to the Maipo River, Chile and depicts water stress. The color scale ranges from red (low ET) to blue (high ET), with higher ET observed over irrigated agricultural fields. ET is used for estimating crop irrigation requirements. This data will inform irrigation management practices and help alleviate water scarcity within the area. ​

Determining Crop Coefficients Using Remote Sensing for the Maipo River Valley Basin in Chile 

Topic
DEVELOP
Capacity Building
Agriculture
Maipo River Valley Agriculture (Summer 2022) Team: Benjamin Goffin (Project Lead), Duncan Srsic, Rishudh, Sarah Carlos Summary: Agriculture is the primary use of water in...
Aqua MODIS-derived nighttime land surface temperature climate normal for 2002–2022 across the southeastern portion of Organ Pipe Cactus National Monument. Shades of green and blue indicate lower mean nighttime temperatures while shades of orange and red indicate higher temperatures. Tinajas in areas with higher (red) nighttime temperatures are at risk of drying out. This data will help park managers prioritize conservation in identified areas as warming and drying trends continue across the western Sonoran

Evaluating Rock Pool Hydroperiod Fluctuation using Climate Variables to Inform Habitat Monitoring and Protection in the Western Sonoran Desert 

Topic
DEVELOP
Capacity Building
Water Resources
Western Sonoran Water Resources (Summer 2022) Team: Anne Britton (Project Lead), Deirdre An, Seamus Geraty, Charles Nixon Summary: Ephemeral freshwater rock pools, known as tinajas...
Satellite Image of San Francisco Bay
Ecological Conservation

ARSET - Connecting Citizen Science with Remote Sensing

Training Type
Online Instructor-Led
Level
Introductory
Date
Enero 24, 2023 - Enero 31, 2023
VALUABLES 2022 Capstone Celebration

VALUABLES Consortium Capstone Celebration

Diciembre 5, 2022
Diciembre 5, 2022
Small building and fishing boats line a palm tree covered riverfront in southern Vietnam
Applied Sciences
Capacity Building

Upstream Solutions

By
Jacob Ramthun
,
Erica Kriner
2010 – 2021 NDWI-processed imagery of the greater Kansas City, Kansas region. This image combines Landsat 5, 7, and 8 highlighting dry areas in yellow through orange. Areas classified as water are identifiable in aqua blue. Areas of darker blue are considered wet but include cityscape. A major problem for urban flooding identification is the mixture of cityscape in wet areas, making it important for further investigation and data processing.

Assessing Environmental and Socioeconomic Factors of Urban Flood Vulnerability in Kansas City, Kansas 

Topic
DEVELOP
Capacity Building
Disasters
Kansas City Disasters (Summer 2022) Team: M. René Castillo, Hadwynne Gross, Eric Sjöstedt, Raychell Velez Summary: Pluvial flooding, over-saturated ground, and poor drainage systems disproportionately...
NDWI-processed image derived from Landsat 7 ETM+ data captures the aftermath of a 3-inch rainstorm in Milwaukee, Wisconsin. The composite image shows inundated areas in blue and dried areas in orange a few days after an April 2015 storm. Satellite imagery used in conjunction with hydrological models allow the city to identify areas in need of flood mitigation strategies. 

Assessing the Drivers of Urban Flood Vulnerability in Milwaukee using the Integrated Valuation of Ecosystem Services and Tradeoffs Urban Flood Risk Mitigation Model (InVEST) 

Topic
Urban Development
DEVELOP
Capacity Building
Milwaukee Urban Development (Summer 2022) Team: Madeleine Tango (Project Lead), Jack Acomb, Lisa Son, Annika Harrington Summary: Milwaukee County has experienced an increase in flooding...
NDVI-processed imagery from Landsat 8 OLI data. This composite image of Wichita, KS, was created using 2018–2022 summer imagery. Lighter shades of yellow indicate limited vegetation in built-up areas and bodies of water, while darker shades of purple indicate dense vegetation. Understanding the spatial distribution of vegetation, such as tree canopy, is essential to recognizing and mitigating heat risk, and prioritizing intervention.​

Using Satellite Data to Identify Neighborhoods Vulnerable to Extreme Heat for Equitable Climate Mitigation and Planning 

Topic
DEVELOP
Climate
Capacity Building
Wichita Climate (Summer 2022) Team: Brooke Laird (Project Lead), Melissa Ashbaugh, Muskaan Khemani, Sadie Murray Summary: Wichita, Kansas is facing a host of climate threats...

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