ForWarn II

Satellite-Based Change Recognition and Tracking

Insects

Assessing defoliation in the Boise National Forest

Thu, 09/13/2018 - 11:13 -- stevenorman
Defoliation on the Boise

ForWarn’s ability to accurately map defoliation comes from the high temporal frequency of the source imagery (MODIS). With any change detection, multiple disturbances are often at work in the same landscape at the same time, so careful assessment requires consideration of other stressors or disturbances.

In the Boise National Forest, defoliation from the spruce budworm and large wildfire have been recurring every year. Recently, a periodic eruption of the Douglas fir tussock moth has begun, and drought is episodic.

Defoliation in southern LA

Mon, 05/01/2017 - 16:38 -- wchristie

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.

Insect defoliation in Fremont National Forest, OR

Wed, 09/14/2016 - 09:14 -- wchristie

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.

Monitoring the state of Rhode Island's forests

Wed, 08/10/2016 - 16:35 -- stevenorman
Gypsy Moth defoliation affected a large part of Rhode Island in 2016

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.

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