Principal Investigator

Roger Ly

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This image is a composite of radiometrically terrain corrected UAVSAR L-band imagery over the Agua Salud Project area in the Panama Canal Watershed, collected on February 2nd, 2010 and March 13th, 2015 from the NASA Gulfstream III Jet. The image is composed of several images, with different temporal combinations of the HV backscatter. Darker colors show an increase in volume scattering over time, indicating increased biomass. These images were used to discern land cover change.  Keywords: UAVSAR, RTC, Agua Salud Project, STRI

The Panama Canal Watershed (PCW) is a major socioeconomic resource. The PCW provides potable water to surrounding cities and ensures the Panama Canal remains fully operational throughout each year. Over one million residents in Panama City, Colón, and San Miguelito...

Principal Investigator

Deki Namgyal

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2020 mean annual temperature derived from Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) for the country of Bhutan. Pixels display low to high mean temperatures. The shades of blue indicate lower temperatures, while shades of red indicate higher temperatures. Comparing the map to older maps allows us to locate which areas of Bhutan have been affected the most by changes in climate.  Keywords: Remote Sensing, Temperature, FLDAS

Bhutan is vulnerable to climate fluctuations that can affect vegetation phenology patterns. Changes in the climate have raised concerns from local farmers about altered growing seasons. In response, the DEVELOP team assessed annual vegetation phenology trends across Bhutan from 1981-2014 by comparing vegetation phenology-derived...

Principal Investigator

Kinley Dorji 

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CHIRPS satellite data uses TRMM. Total precipitation calculated within the country of Bhutan during the 2019 monsoon period (June - August). The darker shades of blue represents higher concentrations of rainfall, while the lighter shades of blue represent lower concentrations of rainfall.   Keywords: Bhutan, CHIRPS, TRMM​

Himalayan countries, including Bhutan, have become vulnerable to warming trends which result in increasing temperature and variable rainfall and snowfall. By combining phenological and meteorological data, Earth observation platforms and sensors were used to assess trends in precipitation, temperature, and...

Principal Investigator

Trista Brophy

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Curve number runoff calculated from NDVI-processed imagery using 2019 Landsat 8 OLI data. The southern portion of the county, with the City of Manhattan to the east, is displayed. Blue shades indicate lower runoff and red shades indicate higher runoff. Local stakeholders could expect more flooding to occur where there is higher runoff and should focus on these areas during resiliency planning.   Keywords: curve number runoff, NDVI, land use change, Trista Brophy, Ella Griffith, Elizabeth Nguyen, Adelaide Schmidt​

Riley County, Kansas, has observed increased levels of flooding, potentially due to changes in land use/land cover (LULC) and seasonal vegetation variation. This study contrasts two methods of generating runoff curve numbers (CN) from 2006-2020. (1) The traditional Soil Conservation...

Principal Investigator

Rya Inman

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False color composite (bands 5, 4, and 3) of recent (2016 to 2019) leaf-off vegetation in the New York Adirondacks region processed using Landsat 8 OLI data overlaid with the HydroSHEDS Hydrologically Conditioned DEM from the World Wildlife Fund (2000) in cyan. Pure eastern hemlock stands are indicated in red and hemlock-dominant stands are indicated in orange. Areas of pure eastern hemlock should be the primary focus of land managers’ conservation efforts against the invasive hemlock woolly adelgid.

Hemlock woolly adelgid (HWA; Adelges tsugae) is an invasive species that threatens eastern hemlock (Tsuga canadensis) in US forests. Eastern hemlock has a greater capacity to store carbon, regulate stream temperatures, and provide habitat for wildlife compared to sympatric tree species. The New...

Principal Investigator

Ryan Lam

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Forecasted NDVI-processed imagery using 2021 MODIS data with a soybean fields (purple) overlay in central Argentina. Magenta zones indicate low values of NDVI, such as water or bare soil. Blue and cyan represent moderate to high values of NDVI, denoting areas of higher biomass. Understanding the health and status of the agricultural crop growth allows the Buenos Aires Grain Exchange highlight potential food insecurities in the region to farmers, consumers, and policymakers.  Keywords: NDVI, crop yield forecasting, Brooke Egley, Ryan Lam, Tyler Pantle, Sienna Templeman, Caroline Williams

Early harvest information helps drive the national budget in Argentina, providing valuable planning information to identify potential food-insecure regions, anticipate transportation and storage demands, predict price fluctuations, and project commodity trends. However, crop yield estimates are currently subjective, based on...

Principal Investigator

Molly Spater

 
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Demonstrating the Potential Applications of ECOSTRESS Evapotranspiration Products in Plant Phenotyping and Predicting Patterns in Global Species Richness

A changing climate has the potential to affect both agricultural productivity and global levels of biodiversity. In the agricultural context, the ability to rapidly identify more water-efficient and drought tolerant crop varieties will be vital for international food security. Current methods of phenotyping superior...

Principal Investigator

Margaret Mulhern

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Designing a Modeling User Interface Incorporating Landsat to Monitor Changes in Riparian Vegetation and Endangered Fish Habitat

Since the completion of the Flaming Gorge Dam in 1964, artificial flow releases along the Green River have promoted channel narrowing and encouraged non-native vegetation encroachment into the active stream channel. These changes in the Green River's flow regime have reduced the backwater habitat of...

Principal Investigator

Zackary Werner

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Presence of fog and low cloud cover in July 2020 derived from Terra MODIS data, overlaid on a true color Landsat 8 OLI image of San Francisco Bay, California taken August 2020. Bright red shades represent higher fog frequency, up to 29 days per month, while blue and transparent indicate fewer than 8 days. The presence of fog is vital for coast redwood trees and projecting future fog presence can support redwood habitat conservation efforts.   Keywords: MODIS, fog, cloud, climate change, coast redwood (Sequoia sempervirens), San Francisco Bay, California

Fog and low clouds play an important role in providing moisture to coastal ecosystems. Coast redwood (Sequoia sempervirens) forests are currently distributed along a narrow strip of coastline in California and Oregon and rely on the presence of...

Principal Investigator

Veronica Warda

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Detecting Changes in Nighttime Sky Brightness over Grand Teton National Park with the Suomi NPP VIIRS Sensor

As more outdoor lighting is installed for safety and development, light pollution has become a growing problem that threatens the quality of life for humans and wildlife. The onset of light pollution in cities and dark sky areas not only hinders humans from seeing the...