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Land Cover Classification Using Python

This post will discuss a simple method for land cover classification using a k-means clustering algorithm with Spectral Python (SPy). Spectral is a pure-Python package for processing hyperspectral images and is available for download using Pip or Conda. Let’s say you are working on a suitability analysis project and want […]

Mapping GeoTagged Photos

This is a handy little tool that I use in the field and want to capture photos to add to a property map. There are several ways to do this, but since most foresters are familiar with ArcGIS, I will describe how this works with an iPhone and ArcGIS Online. […]

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 […]

Data-Driven Forestry – Part I

“Without data, you’re just another person with an opinion.” W. Edwards Deming In the increasingly competitive digital-age, there is a growing trend for companies to adopt data-driven processes and business cultures. In this post I will discuss what it means for companies to utilize data-driven processes, and how this might […]

Collect Forest Data with ESRI Collector App

ESRI Collector App makes field data collection simple. And even better, the data integrates seamlessly with ArcGIS Pro and ArcGIS Desktop software. For those interested in collecting GIS data in the field, ESRI’s Collector app is a nice complement to the ArcGIS* platform, and the data collected is seamlessly shared […]