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Satellite-aided Field Forestry Applications

Forest Regeneration Surveys

Recognizing the field utility and geospatial capability of current field GIS packages, researchers at the University of Minnesota’s Department of Forest Resources have evaluated a combination of the Compaq iPAQ handheld computer with a Magellan GPS15 unit, Arcpad 6 software and high-resolution IKONOS imagery to conduct a forest regeneration survey.

This particular GIS package equipped crews with the ability to: (1) layout and traverse sample plot centers before going in the field (see below for example)), (2) easily navigate with GPS capability, (3) delineate polygons in the field with a satellite imagery backdrop, (4) collect and enter data, such as species, size and stocking information, at each sample plot into customized data entry forms, and (5) open the plot for updating any particular feature of the plot by tapping on the plot center with the stylus.

The high-resolution satellite imagery also gave crews the opportunity to identify and locate potential problem areas before going to the field. By transforming the multispectral data of the satellite imagery using NDVI and image processing software such as ERDAS Imagine, differences between healthy and non-healthy forest regeneration were accentuated. Once delineated, these problems were verified in the field and their identification allowed users to better focus their management efforts (see NDVI example below).

Jim Gabriel, UPM-Kymmene, says their crews are just beginning to take GIS and digital imagery into the field, and they have yet to use high-resolution satellite imagery. While field-based GIS systems are relatively new to the crews, they have realized their potential compared to traditional forest management tools.

“It has made us better foresters,” says Gabriel. “These are tools that are changing the way we approach field forestry. We make decisions based on better data, in a more timely manner, with increased accuracy, resulting in improved outcomes.”

Stand boundary with traverse and sample plot centers

NDVI-derived map of healthy and non-healthy vegetation.

(Delineated “holes” are unhealthy (or absent) vegetation)

Corner Location and Line Running >>

Satellite-aided Field Forestry Applications

k-Nearest Neighbor (kNN)

Forest Disturbance Mapping

Oak Wilt Detection

Urban Forest Mapping

TCMA Classification Comparison: MLC vs. kNN

In this section...

Hardware Solutions

Software Solutions

Imagery Solutions

Forest Regeneration Surveys

Corner Location and Line Running