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Forest Sciences

USDA Forest Service / UNL Faculty Publications

Agroforestry

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Full-Text Articles in Life Sciences

Shape Indexes For Semi-Automated Detection Of Windbreaks In Thematic Tree Cover Maps From The Central United States, Greg C. Liknes, Dacia M. Meneguzzo, Todd A. Kellerman Jan 2017

Shape Indexes For Semi-Automated Detection Of Windbreaks In Thematic Tree Cover Maps From The Central United States, Greg C. Liknes, Dacia M. Meneguzzo, Todd A. Kellerman

USDA Forest Service / UNL Faculty Publications

Windbreaks are an important ecological resource across the large expanse of agricultural land in the central United States and are often planted in straight-line or L-shaped configurations to serve specific functions. As high-resolution (i.e., <5 m) land cover data sets become more available for these areas, semi-or fully-automated methods for distinguishing windbreaks from other patches of trees are needed for use with thematic raster data sets. To address this need, we created three shape indexes: a morphology-based index that we have named the Straight and Narrow Feature Index (SNFI), a windbreak sinuosity index, and an area index indicating the occupied fractional area of a bounding box. The indexes were tested in two study areas: (1) a riparian area dominated by sinuous bands of trees but mixed with row crop agriculture and (2) an agricultural area with a mix of straight-line and L-shaped windbreaks. In the riparian area, a Kruskall–Wallis rank sum test indicated class differences for all three indexes, and pairwise comparisons indicate windbreaks and riparian trees are separable using any of the three indexes. SNFI also produced significant differences between windbreaks oriented in different directions (east–west vs. north–south). In the agricultural area, the Kruskall–Wallis rank sum test indicated differences between classes for all three indexes, and pairwise comparisons show that all class pairs have significant differences for at least one index, with the exception of L-shaped windbreaks vs. non-windbreak tree patches. We also used classification trees to objectively assign representative samples of tree patches to classes using both single indexes and multiple indexes. Classes were correctly assigned for more than 90% of the samples in both the riparian and agricultural study areas. In the riparian area, combining indexes did not improve accuracy compared to using SNFI alone, whereas in the agricultural area, combining the three indexes produced the best result. Thematic data sets derived from high-resolution imagery are becoming more available, and extracting useful information can be a challenge, partly due to the large amount of data to assess. Calculating the three shape indexes presented can assist with efficient identification of candidate windbreaks and as such, hold good promise for value-added analysis of tree function in the central United States.


Visualizing Agroforestry Alternatives Or Pixel This!, Gary Bentrup Jun 2005

Visualizing Agroforestry Alternatives Or Pixel This!, Gary Bentrup

USDA Forest Service / UNL Faculty Publications

Natural resource professionals often hear the words, “What will it look like?” from landowners who have difficulty in understanding a proposed agroforestry or conservation plan. Planting plans and engineering drawings, while necessary, often mean little to the general public. When practices require a long-term commitment like agroforestry, landowners want to know what it will actually look like on the ground before committing to a plan. Now resource professionals have a tool to translate these plans into real-life pictures or images called visual simulations. Visual simulations are digital images which have been altered to illustrate design alternatives. Using image-editing software, proposed …


Tool Time: Melding Watershed And Site Goals On Private Lands, Gary Bentrup, Michele M. Schoeneberger, Mike Dosskey, Gary Wells, Todd Kellerman Jun 2005

Tool Time: Melding Watershed And Site Goals On Private Lands, Gary Bentrup, Michele M. Schoeneberger, Mike Dosskey, Gary Wells, Todd Kellerman

USDA Forest Service / UNL Faculty Publications

Creating effective agroforestry systems with broad public support requires simultaneously addressing landowner and societal goals while paying respect to ecological processes that cross spatial and political boundaries. To meet this challenge, a variety of planning and design tools are needed that are straight-forward and flexible enough to accommodate the range of issues and the many individual decision-making processes involved. In this paper, we offer some principles that should be considered when developing planning and design tools for agroforestry. To illustrate how these principles might be used, we will present a few tools from the Comprehensive Conservation Buffer Planning project at …