Virginia Tech Tree ID
100.000 - 500.000 downloadsAdicionar este app às suas listasTweets por @Appszoom
Users can narrow the species list for any location in North America using the phone's GPS, network signal or any entered address or zip code. Basically the application can become “Woody Plants of Where You Are Standing”. For example, it can become the “Woody Plants of Southwestern Oregon” , the “Woody Plants of Central Park” or the or “The Woody Plants of 37.108 lat., -80.452 long., elevation 2118”.
Users can further narrow the species list by answering a series of very simple tree attribute questions such as where the plant is growing, leaf shape, leaf arrangement, flower color or fruit type.
The species list can also be narrowed by typing a keyword such as oak, Abies, red or palm. For example if oak is typed only oaks found in the defined area will be listed.
A feature also allows you to send any tree related question to “Dr. Dendro”, a tree expert in the Department of Forest Resources and Environmental Conservation at Virginia Tech. You can send a tree description or pictures of your plant and experts will help with identification.
•969 woody plants from all over North America
•Over 6,400 color photographs of leaves, flowers, fruit, twig, bark, form, and range map for each species
•In depth description of all plant parts
•Narrows species list based on your location and elevation using the phones GPS, network signal or user entered location
•Search for species by a key word, e.g. maple
•Identify species by answering a series of simple questions. A picture is displayed showing what is being asked.
•Navigate between species with a push of a button.
•Send a tree question to “Dr. Dendro” a tree expert at Virginia Tech
VIRGINIA TECH TREE IDENTIFICATION DIGITAL MATERIAL
Visit our web sites at: http://dendro.cnre.vt.edu
Woody Plants in North America, 2012, Kendall/Hunt Publishing is a multimedia tutorial on DVD covering 920 woody plants with over 23,000 color photographs of leaves (summer and fall), flowers, fruits, twigs,
bark and form for each plant. The software displays multiple images of all plant parts so user can develop a “feel” for normal field variation. A customizable, self-quizzing section allows users to evaluate their progress in plant identification. For more features on this software visit: http://dendro.cnre.vt.edu/dendrology/wpina.htm
The 650 MB database of tree photographs and text is downloaded from our server. We recommend you install Virginia Tech Tree Identification using a fast WIFI connection. A cellular connection will generally be too slow.
Text and photography by John R. Seiler, John A. Peterson Department of Forest Resources and Environmental Conservation, Virginia Tech and Ed Jensen, Forest Ecosystems and Society, Oregon State University
Programming by Robert Potts
Technical support by Andrew Meeks
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