Jul 21, 2009Landsat Used to Examine Wood Supply Uncertainty

Source: U.S. Forest Service As members of the forest products industry continue to reduce their landholdings, monitoring reliable future timber supplies becomes an increasingly important issue. This issue requires both spatial and forest inventory information to meet the strategic planning needs of these entities. Increased depth in the archival span of imagery available from the Landsat […]

Jul 18, 2009LDCM Preliminary Design Review Held

The Landsat Data Continuity Mission (LDCM) conducted a successful Preliminary Design Review (PDR) the week of July 14 – 17, in Linthicum, MD receiving only nine requests for action (RFAs) from the independent Standing Review Board (SRB). Two of the strengths the SRB noted were the “exceptionally high quality” people on LDCM across all mission […]

Jul 6, 2009Landsat Data Help Researchers Assess Impact of Protected Areas in Sumatra

A new study published in Journal of Biogeography reports that the establishment of protected land on Sumatra may help reduce deforestation in adjacent unprotected areas. By examining nearly 100 Landsat images of Sumatra and Siberut over the decade spanning from 1990 to 2000, David Gaveau and his research team found that, contrary to common assumptions, deforestation rates […]

Jul 6, 2009Research Examines Elevated Mercury Levels in Prairie Lakes with Landsat

Source: South Dakota State University Prairie lakes that expand greatly in area during wet cycles are more likely to have elevated mercury levels soon after, South Dakota State University research suggests. That’s one finding in a study by recent Ph.D. graduate Trevor Selch and his adviser, adjunct associate professor Steve Chipps of SDSU’s Wildlife and Fisheries […]

Jul 3, 2009Sensor Synergy: Landsat Together with SAR and Lidar Maps Boreal Wetlands

Researchers from Columbia University and the University of Western Ontario have combined Landsat TM data with European Remote Sensing 2 radar data and lidar-derived elevation data to map a remote boreal landscape in northern Alberta, Canada at a 6 meter resolution with 98% accuracy. Their technique uses discrete wavelet transformations to find relationships between the […]