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STEMS: Stem-Profile Model

In 1991, the USDA Forest Service, Southeastern Forest Experiment Station created a set of stem-profile taper models for 58 southern species and species groups. The Research Paper, known as SE-282, can be downloaded here. The research demonstrates how profile models are used to “predict stem diameter at any height” and […]

External Data: Acquire Data using APIs

Data can come from internal or external sources. In many cases, companies need access to data that is not provided by the ongoing operation of the business. For example, forestry businesses may rely on products and applications developed using regional timber prices, historical weather patterns, location-based services, or market indices. […]

Exploratory Data Analysis

In this post we will journey on an expedition to explore a forestry dataset using Data Science tools available in Python. Python is an Object-Oriented programming language commonly used in the Geospatial and Data Science fields. As an example scenario, we will work with two datasets that resemble common Stand […]

Machine Learning in Forestry

Machine Learning (ML) is one of the new buzz words in the field of Data Science. I see machine learning articles, tutorials, and blog posts on websites and LinkedIn almost daily. So what is it, and does it have realistic applications for the forest industry now, or is it just […]

The Forest Data Dilemma

Thanks to companies like Amazon, Microsoft and Google, the modern company is familiar with terms such as “The Cloud” and “Big Data”.  With new analytical tools and faster processing capabilities, companies are rethinking their business processes to take advantage of massive amounts of public and private data that are available? But […]