Mapping key indicators of forest restoration in the Amazon using a low-cost drone and artificial intelligence.

Mapping key indicators of forest restoration in the Amazon using a low-cost drone and artificial intelligence.

Na publicação: Luciana Spinelli Araujo.

Saved in:
Bibliographic Details
Main Authors: ALBUQUERQUE, R. W., VIEIRA, D. L. M., FERREIRA, M. E., SOARES, L. P., OLSEN, S. I., ARAUJO, L. S. de, VICENTE, L. E., TYMUS, J. R. C., BALIEIRO, C. P., MATSUMOTO, M. H., GROHMANN, C. H.
Other Authors: RAFAEL WALTER ALBUQUERQUE, UNB; DANIEL LUIS MASCIA VIEIRA, Cenargen; MANUEL EDUARDO FERREIRA, UFG; LUCAS PEDROSA SOARES, UNB; SØREN INGVOR OLSEN, University of Copenhagen, Denmark; LUCIANA SPINELLI DE ARAUJO, CNPMA; LUIZ EDUARDO VICENTE, CNPMA; JULIO RICARDO CAETANO TYMUS, The Nature Conservancy Brasil-TNC; CINTIA PALHETA BALIEIRO, The Nature Conservancy Brasil-TNC; MARCELO HIROMITI MATSUMOTO, ESALQ/USP; CARLOS HENRIQUE GROHMANN, USP.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2022-02-16
Subjects:Deep learning, Drones, Remotely piloted aircraft, RGB, Tree crown heterogeneity index, Tree species, Cecropia, Photogrammetry, Species diversity, Vismia,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1140126
https://doi.org/10.3390/rs14040830
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Na publicação: Luciana Spinelli Araujo.

Similar Items