Skip to main content

DAAC Home > Resources >

You are here




Remote Sensing and Invasive Species

Graph of research publications over time.

Searching for the term remote sensing and words related to invasive species (invasive, nonnative, exotic, or nonindigenous) in Google Scholar reveals an increasing number of publications each year using these terms.

A new Earthdata article describes how researchers are using remote sensing to map invasive species.

Surveying the Ecological Effects of Fire on Alaska's Yukon-Kuskokwim Delta

Map of Cover according to Plant Functional Types

Vegetation point-intercept (VPI) any-hit cover metric data were combined with Landsat imagery to develop fractional maps of any-hit cover for four aggregated plant functional types (PFTs); shrubs bryophytes, lichen, and herbs for the upland tundra area of the Y-K Delta, Alaska. VPI data were collected from plots in areas burned in 1971, 1985, 2005, and 2015.

Ecological field data and maps of vegetation cover spanning gradients of fire history in upland tundra are available from the Arctic-Boreal Vulnerability Experiment (ABoVE).

WAVeTrends: Trends in Woody and Herbaceous Vegetation

Map of vegetation change in West Africa.

Concurrent woody and herbaceous vegetation changes between the 1982-1991 and 2004-2013 decades of the Sudano-Sahel region of Africa. (A) Map of vegetation change categories. (B) Chart showing the conceptual position and the relative abundance of each category in a 2-D space.

Vegetation change data spanning the West African Sudano-Sahel region is now available.

Harmonized Global Land Use and Land Cover

Map of land use transition in South America.

The area fraction that has transitioned from C3 annual crops in 2015 to secondary vegetation in 2016 on LUH2 potential forest land. Spatial resolution 0.25-degree grid cells.

Annual estimates of fractional land use and cover patterns are available for the period 2015 to 2100.

GEDI Data Released at LP DAAC, More Data to Come

Logo for NASA’s Global Ecosystem Dynamics Investigation

GEDI data will help further refine our understanding of the carbon cycle and atmospheric concentrations of carbon dioxide (CO2).

Level 1 and 2 high-resolution, laser altimetry data from the Global Ecosystem Dynamics Investigation (GEDI) are now available from the LP DAAC.