Editing Landsat program (section)

=== Natural resources management ===
[[File:NASA's Landsat Satellite Looks for a Cloud-Free View (8778994889).jpg|thumb|Landsat image of the [[Aral Sea]] in 2013]]
[[File:Fire and the Future of Yellowstone - NASA Earth Observatory.jpg|thumb|Landsat images of burned land in [[Yellowstone National Park]] in 1989 and 2011]]
[[File:World of Change Columbia Glacier, Alaska (7215814492).png|thumb|[[Landsat 5|Landsat-5]] false color images of the [[Columbia Glacier (Alaska)|Columbia Glacier, Alaska]] in 1986 and 2011]]
[[File:Vancouver Landsat.jpg|thumb|Landsat false color image highlighting developed areas in pink in [[Vancouver]], British Columbia, Canada]]

==== Fisheries ====
In 1975, one potential application for the new satellite-generated imagery was to find high yield [[fishery]] areas. Through the Landsat Menhaden and Thread Investigation, some satellite data of the eastern portion of the [[Mississippi]] sound and another area off the coast of the [[Louisiana]] coast data was run through classification [[algorithm]]s to rate the areas as high and low probability fishing zones, these algorithms yielded a classification that was proven with [[in situ]] measurements – to be over 80% accurate and found that water color, as seen from space, and turbidity significantly correlate with the distribution of [[menhaden]] – while surface temperature and salinity do not appear to be significant factors. Water color – measured with the multispectral scanners four spectral bands, was used to infer [[Chlorophyll]], [[turbidity]], and possibly fish distribution.<ref>{{cite web|url=http://spo.nmfs.noaa.gov/mfr391/mfr3913.pdf|title=Finding Fish With Satellites|last=Kemmerer|first=Andrew|date=March 2017 |publisher=NOAA}} {{PD-notice}}</ref>

==== Forestry ====
An ecological study used 16 [[Orthophoto|ortho-rectified]] Landsat images to generate a land cover map of [[Mozambique]]'s [[mangrove]] forest. The main objective was to measure the mangrove cover and above ground [[biomass]] on this zone that until now could only be estimated, the cover was found with 93% accuracy to be 2909 square kilometers (27% lower than previous estimates). Additionally, the study helped confirm that geological setting has a greater influence on biomass distribution than latitude alone - the mangrove area is spread across 16° of latitude but it the biomass volume of it was affected more strongly by geographic conditions.<ref>{{cite journal|title=Landscape-scale extent, height, biomass, and carbon estimation of Mozambique's mangrove forest with Landsat ETM+ and Shuttle Radar Topography Mission elevation data|journal=Journal of Geophysical Research: Biogeosciences|volume=113|last=Fatoyinbo|first=Temilola|date=March 2017|pages=n/a|doi=10.1029/2007JG000551|doi-access=free}}</ref>