Artificial intelligence associated with satellite data in predicting energy potential in the Brazilian savanna woodland area

Autor: Carrijo JVN, Miguel EP, Teixeira Do Vale A, Matricardi EAT, Monteiro TC, Rezende AV, Inkotte J

Publikováno v: iForest - Biogeosciences and Forestry, Vol 13, Iss 1, Pp 48-55 (2020)

The use of artificial intelligence to generate information of the savanna’s energy capacity may support sustainable management of those areas. We assessed the efficacy of artificial neural networks (ANNs) combined with satellite data to estimate th

Externí odkaz: https://doaj.org/article/aea2b5bcbdb840eaaf78491ce933881f

Detection of logging infrastructure in the state of rondônia using remotely sensed data

Autor: Pinagé, ER, Matricardi, EAT

Logging lands (forest roads and log decks) are an underlying issue during selective logging activities, but they are responsible for most impacts on the forest. This study aimed to apply and assess the performance of five geoprocessing techniques on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::a5bb124527f8e01b80fb64a6eace16e6
https://hdl.handle.net/10453/85300

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Generic and Specific Models for Volume Estimation in Forest and Savanna Phytophysiognomies in Brazilian Cerrado.

Autor: Souza YF; Department of Forest Science, Campus Darcy Ribeiro, University of Brasília (UnB), Brasília 70910-900, Brazil., Miguel EP; Department of Forest Science, Campus Darcy Ribeiro, University of Brasília (UnB), Brasília 70910-900, Brazil., Lima AJN; Tropical Forestry Department, National Institute for Amazon Research (INPA), Manaus 69067-375, Brazil., Souza ÁN; Department of Forest Science, Campus Darcy Ribeiro, University of Brasília (UnB), Brasília 70910-900, Brazil., Matricardi EAT; Department of Forest Science, Campus Darcy Ribeiro, University of Brasília (UnB), Brasília 70910-900, Brazil., Rezende AV; Department of Forest Science, Campus Darcy Ribeiro, University of Brasília (UnB), Brasília 70910-900, Brazil., Freitas JV; Faculty of Agricultural Sciences, Department of Forest Engineering, Federal University of Amazonas (UFAM), Manaus 69080-900, Brazil., de Souza HJ; Department of Forest Science, Campus Darcy Ribeiro, University of Brasília (UnB), Brasília 70910-900, Brazil., Oliveira KN; Department of Forest Science, Campus Darcy Ribeiro, University of Brasília (UnB), Brasília 70910-900, Brazil., Lima MFB; Forest Products Laboratory (LPF), Brazilian Forest Service (SFB), Brasília 70818-900, Brazil., Biali LJ; Department of Forest Science, Campus Darcy Ribeiro, University of Brasília (UnB), Brasília 70910-900, Brazil.

Publikováno v: Plants (Basel, Switzerland) [Plants (Basel)] 2024 Oct 03; Vol. 13 (19). Date of Electronic Publication: 2024 Oct 03.