Satellite-derived plant cover maps vary in performance depending on version and product

Author:

Applestein CaraORCID,Germino Matthew J

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference21 articles.

1. Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty;Allred;Methods Ecol. Evol.,2021

2. Detecting shrub recovery in sagebrush steppe: comparing Landsat-derived maps with field data on historical wildfires;Applestein;Fire Ecol.,2021

3. How do accuracy and model agreement vary with versioning, scale, and landscape heterogeneity for satellite-derived vegetation maps in sagebrush steppe?;Applestein;Ecol. Ind.,2022

4. Point Sampling Digital Imagery with ‘Samplepoint’;Booth;Environ. Monit. Assess.,2006

5. Caccetta PA, Furby SL. 2004. Monitoring sparse perennial vegetation cover. In The 12th Australasian remote sensing and photogrammetry conference proceedings, Fremantle, Western Australia 2004 Oct (pp. 18-22).

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