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Areas east of Sault Ste. Marie, Ontario, Canada. Agent appears to be active eastward to New Brunswick to n. Maine.
Forest defoliation by baldcypress leafroller and forest tent caterpillar detected in these southern Louisiana counties: Ascension, St. James, Assumption, n. Lafourche, n. Terrebonne, St. Martin and e. Iberia County. Public lands affected appear to be the western district of Maurepas Swamp Wildlife Management Area.
ForWarn potentially indicates that an area in the Fremont National Forest, Oregon experienced a decline in green vegetation due to the Mountain Pine Beetle from 2004 through 2010 and still may not have recovered in terms of vegetation canopy greenness. The anomaly may also be associated with climate change initiating a shift in vegetation type in the area.
ForWarn has detected a slight decline in green vegetation within the Isle Royale National Park in Michigan in August 2016. The disturbance is likely caused by a severe storm or potential insect damage.
Remote sensing technologies provide an increasingly efficient way to monitor large tracts of forest canopy conditions in near-real-time and seasonally. Observational systems, such as ForWarn's MODIS-based product line, provide a continuous weekly stream of observational data that can be readily processed in ways that are useful for summary reports on changing forest conditions. Remote sensing approaches to regional monitoring are particularly powerful when they use consistent measures, sophisticated baselines for defining "normal", and cross jurisdictional boundaries.
ForWarn has potentially identified an anomaly in vegetation greenness in the Santa Fe National Forest near Santa Fe, New Mexico, including portions of Sangre de Cristo Mountains in 2016. It is speculated that the decline may be due to an insect outbreak.
Remote sensing is adept at identifying and qualifying many forest disturbances, but there remains a substantial need to further quantify actual impacts in many cases. Traditionally, vegetation change-detection approaches, such as that used by ForWarn, identify and measure disturbance severity as the magnitude of change of some measure of reflected light between two dates or periods. ForWarn tracks the percent change in NDVI relative the prior year or years, with this index falling or rising as foliage cover shifts.
ForWarn has identified an anomaly in the lowlands of Hiawatha National Forest in Mackinac County, Michigan in July 2016. An insect, spruce budworm, was active at the time of the event and is the most likely cause of defoliation leading to decline in vegetation greenness.
ForWarn has identified a disturbance on July 2, 2016 in central Oregon. Decline is likely due to Pandora Moth defoliation of pines in the area.