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Let your maps be fuzzy! - Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation

Feilhauer, Hannes and Zlinszky, András and Kania, Adam and Foody, Giles M. and Doktor, Daniel (2021) Let your maps be fuzzy! - Class probabilities and floristic gradients as alternatives to crisp mapping for remote sensing of vegetation. REMOTE SENSING IN ECOLOGY AND CONSERVATION, 7 (2). pp. 292-305. ISSN 2056-3485

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Item Type: Article
Subjects: Q Science / természettudomány > QH Natural history / természetrajz > QH301 Biology / biológia
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 24 Jun 2021 12:16
Last Modified: 24 Jun 2021 12:16
URI: http://real.mtak.hu/id/eprint/127029

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