Principal Investigator

Amiya Kalra

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Imagery from Sentinel-5P Offline Nitrogen Dioxide dataset over the Puget Sound in Washington State. Data for hillshade sourced from the Shuttle Radar Topography Mission. Aerosol layer has been classified according to the EPA's Air Quality system, with green indicating healthy conditions, to maroon, which indicates hazardous air quality. A poor air quality event is displayed from August 14, 2018, when an inversion was compounded with wildfire particulate coming from British Columbia and western Washington.  Keywords: Public health, MODIS, MAIAC, Sentinel-5P TROPOMI, Google Earth Engine, CALIPSO CALIOP

In the Puget Sound region of Washington, high levels of air pollutants put residents’ health at risk by increasing their likelihood of developing critical respiratory conditions. This project used remotely-sensed data to investigate aerosol optical depth (AOD) from NASA satellite...

Principal Investigator

Nicole Holstein

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Mean land surface temperature derived from 2016-2020 Landsat 8 OLI/TIRS imagery in central Sacramento, located in the California central valley, is displayed. Orange coloring is used to indicate which areas experience the urban heat island effect, with darker colors indicating a higher magnitude of urban heat. The darkest orange colors indicate areas where the city should invest more in urban cooling infrastructure.   Keywords: Urban heat island, Landsat, California, Central Valley, Sacramento, Nicole Keller, Elspeth Gates, Anjelica Petsch, Karina Alvarez

The combined effects of increasing urbanization and climate change have exacerbated the urban heat island (UHI) effect and heat-related risks for city dwellers. Vulnerability to heat-related illnesses is further compounded by risk factors such as demographics, socioeconomic status, and pre-existing...

Principal Investigator

Nicole Ramberg-Pihl 

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Nighttime Land Surface Temperature(LST) Anomaly image processed using Aqua-MODIS LST and Emissivity data. The image displays temperature differences from mean nighttime temperature for Eastern Massachusetts for June, July and August of 2019 combined. Brighter shades of yellow represent positive temperature anomalies, or 'hot spots,’ and darker shades of purple represent negative temperature anomalies or 'cool spots.’ These products will help city planners understand how heat varies across the landscape.   Keywords: urban heat island, nighttime land surface temperature, climate preparedness, remote sensing, Cambridge, Massachusetts​

The urban heat island (UHI) effect occurs when urban areas have temperatures that are warmer on average than the surrounding suburban and rural regions. Low albedo surfaces traditionally found in urban landscapes, such as dark asphalt and rooftops, absorb solar irradiance...

Principal Investigator

Fadwa Bouhedda

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Quantifying Changes in Urban Tree Canopy Cover and Land Surface Temperature to Understand Their Impacts on Neighborhoods throughout Richmond, California

With the aim of improving air quality and mitigating increases in land surface temperature (LST), the city of Richmond, California, and partnering organizations have planted 35,000 trees over the past decade. Groundwork Richmond (GR) a local partner, has approximately 22,000 tree planting opportunities to further...

Principal Investigator

Benjamin Whong

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Imagery displaying Normalized Difference Vegetation Index (NDVI) values calculated from 2018 Landsat 8 OLI data and cropped to a subset of Eastern Maryland bordering the Chesapeake Bay. Black areas correspond to regions of low vegetation density, red to medium vegetation density, and yellow to high vegetation density. Within agricultural regions, low NDVI may indicate areas in which local stakeholders could commit additional resources. Water has been replaced with a stylized cover crop image (green).

Cover crops enrich soils, limit erosion, and reduce nutrient runoff from agricultural land. To promote their usage, the Maryland Department of Agriculture (MDA) subsidizes farmers who plant winter cover crops. In order to maximize environmental benefits, cover crops must be...

Principal Investigator

Suravi Shrestha

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Reducing Conflicts in Siting Solar Power Facilities by Identifying Sensitive Habitats and Wildlife Populations in Areas with High Generation Potential

Solar energy is a rapidly growing industry in the state of Georgia. The increasing popularity of solar farms has encouraged decision-makers and developers to incorporate a sustainable plan for utility-scale solar developments. However, the construction and siting of solar farms could have a threatening impact...

Principal Investigator

Lynn Abdouni

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Reducing Conflicts in Siting Solar Power Facilities by Identifying Sensitive Habitats and Wildlife Populations in Areas with High Generation Potential

Solar energy is a rapidly growing industry in the state of Georgia. The increasing popularity of solar farms is encouraging decision-makers and developers to incorporate a sustainable plan for utility-scale solar developments. However, the construction and siting of solar farms could have a threatening impact...

Principal Investigator

Mariana Webb

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Remote Monitoring of Glacier Dynamics and Hydrologic Indicators in Chile's Aconcagua River Valley

The Aconcagua basin of Central Chile, just north of the capital city of Santiago, is an arid region dominated by the Andes Mountains and heavily dependent on glaciers and seasonal meltwater for its water reserves. Due to the orographic nature of precipitation on the basin...

Principal Investigator

Hannah Besso

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Annual solar energy generation potential calculated using NASA POWER (preprocessed CERES and MODIS data from the Aqua and Terra satellites) in downtown Cleveland, OH. Solar irradiation data are averaged over 22 years (1983 to 2005). LiDAR data were used to model shadowing and the number of sunlight exposure hours per year. Warm colors indicate high solar energy generation potential per square foot. Unshaded rooftops with slopes and aspects that correspond with local solar geometry are optimal for installing solar panels.

Cities around the globe are adopting clean energy technologies to ensure sustainable development and address the impacts of a changing climate. The City of Cleveland and Cuyahoga County in Ohio have committed to 100% renewable energy by 2035 and 2050...

Principal Investigator

Spencer Nelson

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Land surface temperature (LST)-processed imagery using 2019 Landsat 8 OLI/TIRS data, extracted utilizing the single-channel method with Band 10. The northern portion of the City of Satellite Beach, Florida is presented. Satellite Beach is a coastal city bordered by the Indian River Lagoon and the Atlantic Ocean. The darker shades of red at the top of the image represent temperature hotspots within the city. This allows Satellite Beach to identify where heat pressures on energy consumption are located.   Keywords: LST, OLI, TIRS, Satellite Beach, Florida​

The City of Satellite Beach, Florida, has committed to supplying 100% of its energy use from renewable energy, primarily solar, by the year 2050. The team created a methodology for estimating rooftop solar power potential using a high-resolution Light Detection...