Principal Investigator

Sophie Barrowman

Imagen
NDVI image of croplands in north-central Iowa derived from Landsat 8 OLI. The image is a cloud-removed, composite mean from all images available from June 2020 to July 2020. NDVI values, which indicate the level of photosynthetic activity, correspond from low-high with the orange-green color gradient. Farmers and agricultural researchers tasked with monitoring crop performance can use the data from an image like this to model crop yield and encourage sustainable agriculture practices.  Keywords: sustainable agriculture, NDVI, Google Earth Engine, agriculture, Landsat, crop diversification

Agriculture in the Midwest is dominated by monoculture systems that strip the soil of nutrients, decrease yields, and worsen water quality. Crop diversification and cultivating small grains is economically and ecologically advantageous, but limited in practice due to a lack...

Principal Investigator

Lauren Lad

Imagen
Composite of the area around Fisher's Peak State Park made of the Tasseled Cap coefficients Brightness, Greenness, and Wetness. Coefficients were calculated from a single Landsat 8 OLI TOA image from July 9, 2019. The red, green, and blue bands align with Brightness, Greenness, and Wetness, respectively, to showcase vegetation health and density. Greenness and Wetness are good indicators of biomass, and areas of lush vegetation can be seen in turquoise.   Keywords: Colorado, Landsat, Tasseled Cap, Biomass​

Fisher’s Peak is a 77.5 km2 property southeast of Trinidad, Colorado that is planned to become Colorado’s newest state park. The area has experienced limited anthropogenic disturbance and is home to an abundance of unique habitats and species. A...

Principal Investigator

Chloe Schneider

Imagen
Winter 2018-2019 Landsat 8 OLI-derived spectral indices used to investigate suitability of hemlock trees for the Eastern Band of Cherokee Indians (EBCI). EBCI owned land tracts are shown in a yellow-purple gradient representing Normalized Difference Built-Up Index, watersheds encompassing EBCI land are shown in a blue gradient representing Normalized Difference Moisture Index, and the surrounding study area is show in a red-green gradient representing NDVI and the leaf-on greenness of evergreen forest stands in winter.   Keywords: hemlock, evergreen, NDBI, NDVI, NDMI, EBCI, Landsat 8 OLI​

The Eastern Band of Cherokee Indians (EBCI) owns and manages more than 55,000 acres of land in the Southern Appalachian Mountains of western North Carolina. Most of these lands reside within the Oconaluftee River watershed. In this region and watershed...

Principal Investigator

Scott Harrison

Imagen
Compilation of processed provisional land surface temperature data from 1990-2019 acquired by Landsat 4-8. The City of New York, located in Southeast New York State is displayed. Blue hues represent areas where temperatures are less than the average mean. Orange to red hues show areas equal to or higher than the mean temperature. Areas in red are hotspots within the city. These are areas where policymakers should focus green initiatives on to reduce extreme heat.  Keywords: Landsat, Urban Heat, Hotspots, New York City, Extreme Weather

The effect of urban hotspots is a growing public health concern. In the face of climate change and urbanization, city dwellers are at increasing risk for heat-related illness and mortality. New York City (NYC) is especially vulnerable to heat-related illness...

Principal Investigator

Chiara Phillips

Imagen
NDVI-processed Landsat 8 OLI data over the Lower Omo River Valley on January 11th, 2018. Lighter colors indicate areas with high vegetation greenness while darker colors indicate less green vegetation and water. This will help decision-makers understand where agricultural areas are located in comparison to uncultivated lands.  Keywords: remote sensing, Landsat, Normalized Difference Vegetation Index, Tasseled Cap, agro-business, land cover change

Ethiopia is home to unique wildlife, biodiversity, and ecosystem services and, like much of the world, is undergoing population growth, development, and land use change. As a result, some biodiverse regions may be at risk of being urbanized, cultivated as...

Principal Investigator

Sarah Aldama

Imagen
Average GPM IMERG data (2018) combined with landslide susceptibility calculated using SRTM imagery (2000) serve as inputs for the Landslide Hazard Assessment for Situational Awareness (LHASA) model for the Dominican Republic Cordillera Central mountain range. This LHASA “nowcast” respectively shows high and moderate landslide potential in red and yellow, as well as high to low susceptibility to rainfall-triggered landslides in dark and light orange. With LHASA nowcasts, landslide hazard can be assessed in near real-time.

Rainfall-triggered landslides associated with tropical storms cause devastating damage to the communities in the Dominican Republic and surrounding Caribbean islands. With the predicted increase in the frequency and intensity of storms, the region would benefit from reliable disaster monitoring. Partnering...

Principal Investigator

Catherine Buczek

Imagen
A Russian olive (RO) detection map created using 2020 Sentinel-2 MSI and 2020 Landsat 8 OLI imagery overlayed by a hillshade layer created by the Team from a series of USDA NRCS DEMs. The central portion of the Powder River is displayed. Yellow-white (purple-black) colors indicate RO presence (absence) in percent. There is no threshold on the results displayed; therefore, it is not an accurate representation of the results of our RO detection model.  Keywords: random forest model, russian olive, sentinel, landsat, shahin, courtney, tian, andrews, buczek

Since its introduction in the late 1800s, Russian olive (Elaeagnus augustifolia) has become a widespread invasive shrub that poses a threat to native riparian species in the United States that directly competes with native riparian plants for space and resources...

Principal Investigator

Sarah Wingard

Imagen
A Tassled-Cap Transformation was applied to a Landsat-8 OLI satellite image of the Apostle Island National Lakeshore from August 13, 2018, in western Lake Superior. In the above image, a red color gun was applied to the ‘Greeness’ band to highlight chlorophyll within surface water, represented as cyan in the image. Applying the blue and green color guns to the ‘Wetness’ band distinguishes land and non-photosynthetic lake water, characterizing land as red and non-photosynthetic water as purple.  Keywords: Apostle Islands, Lake Superior

Perceived increases in the occurrence of sediment plumes and algal blooms following storm events have raised concerns about water quality within western Lake Superior. Increases in algal productivity and suspended sediment concentration may have negative impacts on wildlife, human health...

Principal Investigator

Brendan McAndrew

Imagen
Mapping Treeline Rise and Wetland Conversion in order to Supplement Resource Management Actions in a Changing Alaskan Climate

Rising temperatures alter growing conditions for vegetation that result in changes to habitat distribution and abundance. In Alaska, these ecological changes present challenges to land managers planning to accommodate species of interest such as Dall's sheep and ptarmigan. NASA DEVELOP partnered with the Kenai National...

Principal Investigator

Byron Schuldt

Imagen
Tasseled-cap processed Landsat 8 OLI image from August 26th, 2019. “Greenness” is displayed on a color ramp where red represents low greenness and blue represents high greenness. Costilla Creek, which feeds into Costilla reservoir at the bottom of the image, stands out in blue in the. These blue areas are likely wetland locations, as wetlands typically retain green vegetation into late summer.  Keywords: Wetlands Mapping, Cutthroat Trout, Abby Eurich, Byron Schuldt, Kathryn Tafoya, Toryn Walton

Over the last century, the Rio Grande cutthroat trout (Oncorhynchus clarki virginalisi; RGCT) population has declined significantly due to habitat loss, competition, and hybridization with non-native trout species; the species currently occupies roughly 11% of its historic habitat...