A One-Class Classification Model for Burned-Area Detection Based on Mutual Ordering of Normalized Differences
Author:
Affiliation:
1. Center for Digital Society, Fondazione Bruno Kessler, Trento, Italy
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10201916.pdf?arnumber=10201916
Reference53 articles.
1. Burned Area Mapping Using Support Vector Machines and the FuzCoC Feature Selection Method on VHR IKONOS Imagery
2. Developing a Random Forest Algorithm for MODIS Global Burned Area Classification
3. Evaluating the Best Spectral Indices for the Detection of Burn Scars at Several Post-Fire Dates in a Mountainous Region of Northwest Yunnan, China
4. Sensitivity of Landsat image-derived burn severity indices to immediate post-fire effects;hudak;Proc 3rd Int Fire Ecology Manag Congr,2006
5. Identification of non-photosynthetic vegetation areas in Sentinel-2 satellite image time series
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1. One-Class Classification Of Vegetation Related Changes Via Mutual Ordering Of Normalized Differences;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. Trends and applications in wildfire burned area mapping: Remote sensing data, cloud geoprocessing platforms, and emerging algorithms;Geomatica;2024-07
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