Identifying activity status of amazonian fishponds using remote sensing.
2025
VALERIO, A. | UMMUS, M. E. | MOIANO, G. | LIMA, A. | MIRANDA, M. | MACIEL, D. A. | BRITO, A. | VASCO, K. | OMETTO, J. | BARBOSA, C. C. F. | KAMPEL, M. | FLECKER, A. | PACHECO, F. | ALINE VALERIO, INDIANA UNIVERSITY; MARTA EICHEMBERGER UMMUS, CNPASA; GABRIEL MOIANO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; ADRIANA FERREIRA LIMA, CNPASA; MARCELA MIRANDA, CORNELL UNIVERSITY; DANIEL ANDRADE MACIEL, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; ALECSANDER BRITO; KENNEDY VASCO; JEAN OMETTO, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; CLAUDIO CLEMENTE FARIA BARBOSA, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; MILTON KAMPEL, INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS; ALEXANDER FLECKER, CORNELL UNIVERSITY; FELIPE PACHECO, CORNELL UNIVERSITY.
Aquaculture in the Amazon has emerged as a solution for food security and income generation, addressing declining natural fish stocks. This study assesses the use of remote sensing to identify and monitor aquaculture ponds, determining whether they are active (stocked with fish) or inactive.
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Библиографическая информация
Эту запись предоставил Empresa Brasileira de Pesquisa Agropecuária