Classification Tutorial for ENVI
The ENVI platform has an amazingly powerful and accurate classification algorithm. That being said, online video training resources are virtually non-existent and the .pdf style tutorials offered by the company are less than straight forward. This tutorial was developed to provide a simple, click by click guide starting at opening the files, merging images, building band stacks, registering images, example based feature extraction, and finally confusion matrices and accuracy analysis.
ArcGIS Pro with Landtrendr
Humans just aren’t that good at grasping large scale concepts. Whether it involves vast areas or lengthy timeframes, we need visualizations to help us understand most climate level concepts. In this project, images were classified and analyzed for surface reflectance to map areas of forest cover and disturbance between 1984 to 2021 near Silverton Hills, Oregon.
ENVI Image Classification and Change Detection
In this project, land cover was classified for a 363 square mile area around the Corríxo Bebe River in southern Brazil. Classifications had 89.43% and 92.71% accuracies for the 2019 and 2021 images respectively. Impacts due to illegal logging were clearly illustrated through change analysis.
QGIS Geomorphologic Location and Layout
The Carolina Heelsplitter is one of the most endangered mussels in the world. For this habitat restoration project, geomorphologic features and measurements were located to sub-meter accuracy with a Trimble GeoXH 6000 and tied to a 1-meter resolution LIDAR mission of the study area.