Identifying drought-prone areas and developing an early warning system for crop damage. Protecting biologically diverse areas of the National Park System with a trail monitoring tool. Confirming flooded areas to better inform decision-makers during a disaster.

Each program area supports a variety of projects that utilize Earth observations to identify challenges around the world and create innovative solutions. Our portfolio demonstrates the benefits of using NASA Earth observations to enhance decision-making and improve life on Earth.

Sort by program area to find specific projects or explore them all below.

 

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

Jim Nelson

Advances in cloud computing offer a unique opportunity to facilitate better use of water resource models as decision-making tools. Modeling software can be hosted on a cloud-based server and operated by multiple remote users via a web interface. This eliminates the need for users to...
Principal Investigator

Andrew Hansen

Columbia, Ecuador, and Peru are the most biodiverse countries in the world, and they are part of the Amazon Basin, a major conservation site. The project team is focusing on the specific needs of each country to develop a system that can forecast and respond...

Principal Investigator

Kyle Hilburn

Over the past decade, increasing wildfire frequency and intensity in the United States has led to several devastating wildfire seasons. The United States’ fire-prone landscape is more densely settled and developed than in previous years, resulting in steeply rising fire-suppression costs. The Weather Research Forecasting...

Principal Investigator

Julie Padowski

Project Description: Fire disturbances in the Pacific Northwest (PNW) are projected to increase under a changing climate and are a major cause of increased erosion, runoff, suspended sediment, nutrient release, and debris flows in forested watersheds. Fire-related threats to water quality and quantity are of...

Principal Investigator

Eric Sanderson

Identifying key biodiversity areas is crucial to understanding how endangered species populations react to changes in climate and urbanization. The project focuses on the fluctuations in occupied and available tiger (Panthera tigris) habitat in relation to key biodiversity areas (KBAs), developing procedures applicable to...

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...