Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential

Landsat-based fire severity datasets are an invaluable resource for monitoring and research purposes. These gridded fire severity datasets are generally produced with pre- and post-fire imagery to estimate the degree of fire-induced ecological change. Here, we introduce methods to produce three Land...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Sean A. Parks, Lisa M. Holsinger, Morgan A. Voss, Rachel A. Loehman, Nathaniel P. Robinson
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2018-06-01
Sarja:	Remote Sensing
Aiheet:	burn severity change detection Landsat dNBR RdNBR RBR composite burn index (CBI) MTBS
Linkit:	http://www.mdpi.com/2072-4292/10/6/879
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