Boschetti, Luigi: University of Idaho (Project Lead)
Project Funding:
2014 - 2017
NRA: 2012 NASA: Land Cover / Land Use Change
Funded by NASA
Abstract:
The objective of this proposal is to prototype a method to automatically map and monitor global industrial forests from Landsat imagery. The prototype will be applied to wall-to-wall WELD data of the conterminous United States, and tested over planation forests in Malaysia and Brazil to assess the feasibility of global mapping using Landsat data. The development methodology will follow a three stage
process:
1. Per-pixel multitemporal analysis of forest cover change, followed by
2. Object-oriented analysis of shapes, textures, and spatial relationships of the areas of deforestation/afforestation
3. Validation using existing extensive field data
Through including methods commonly employed in computer vision, but rarely used in remote sensing, we will implement methodology that closely simulates the analysis performed by the human interpreter.
Publications:
Huo, L., Boschetti, L., Sparks, A. 2019. Object-Based Classification of Forest Disturbance Types in the Conterminous United States. Remote Sensing. 11(5), 477. DOI: 10.3390/rs11050477
Sanchez-Lopez, N., Boschetti, L., Hudak, A. 2018. Semi-Automated Delineation of Stands in an Even-Age Dominated Forest: A LiDAR-GEOBIA Two-Stage Evaluation Strategy. Remote Sensing. 10(10), 1622. DOI: 10.3390/rs10101622
2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
- Prototyping global industrial forest mapping, a Landsat spatio-temporal approach
-- (Luigi Boschetti, Lian-Zhi Huo, Alistair Matthew Stuart Smith, Andrew Thomas Hudak, Robert Keefe)
[abstract]
More details may be found in the following project profile(s):
