Overlooking vegetation loss outside forests imperils the Brazilian Cerrado and other non-forest biomes.

Autor: da Conceição Bispo P; Department of Geography, School of Environment, Education and Development, University of Manchester, Manchester, UK. polyanna.bispo@manchester.ac.uk.; Remote Sensing Applied to Tropical Environments Group, Manchester, UK. polyanna.bispo@manchester.ac.uk., Picoli MCA; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; WeForest, Brussels, Belgium., Marimon BS; Programa de Pós-Graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil., Marimon Junior BH; Programa de Pós-Graduação em Ecologia e Conservação, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Brazil., Peres CA; School of Environmental Sciences, University of East Anglia, Norwich, UK., Menor IO; AMAP (Botanique et Modélisation de l'Architecture des Plantes et des Végétations), CIRAD, CNRS, INRA, IRD, Université de Montpellier, Montpellier, France.; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK.; Programa de Pós-Graduação em Ciências Ambientais, Universidade do Estado de Mato Grosso (UNEMAT), Caceres, Brazil., Silva DE; WWF-Brasil, Brasília, Brazil., de Figueiredo Machado F; Programa de Pós-Graduação em Biodiversidade, Ecologia e Conservação, Núcleo de Estudos Ambientais, Universidade Federal do Tocantins, Porto Nacional, Brazil.; A Vida no Cerrado (AVINC), Brasília, Brazil., Alencar AAC; Amazon Environmental Research Institute (IPAM), Brasília, Brazil., de Almeida CA; General Coordination of Earth Science (CGCT), National Institute for Space Research (INPE), São José dos Campos, Brazil., Anderson LO; National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, Brazil., Aragão LEOC; Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, Brazil., Breunig FM; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Departamento de Geografia, Universidade Federal do Paraná (UFPR), Curitiba, Brazil., Bustamante M; Department of Ecology, University of Brasília (UnB) and Brazilian Research Network on Global Climate Change - Rede Clima, Brasília, Brazil., Dalagnol R; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles, CA, USA.; NASA-Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA., Diniz-Filho JAF; Department of Ecology, Federal University of Goiás (UFG), Goiânia, Brazil.; INCT in Ecology, Evolution and Biodiversity Conservation, Goiânia, Brazil., Ferreira LG; Institute of Socioenvironmental Studies, Remote Sensing and GIS Lab, Federal University of Goiás, Goiânia, Brazil., Ferreira ME; Institute of Socioenvironmental Studies, Remote Sensing and GIS Lab, Federal University of Goiás, Goiânia, Brazil., Fisch G; Agricultural Department, University of Taubaté (UNITAU), Taubaté, Brazil., Galvão LS; Earth Observation and Geoinformatics Division (DIOTG), National Institute for Space Research (INPE), São José dos Campos, Brazil., Giarolla A; General Coordination of Earth Science (CGCT), National Institute for Space Research (INPE), São José dos Campos, Brazil., Gomes AR; Amazon Spatial Coordination (COEAM) from National Institute for Space Research (INPE), Belém, Brazil., de Marco Junior P; Department of Ecology, Federal University of Goiás (UFG), Goiânia, Brazil., Kuck TN; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Instituto de Estudos Avançados - Brazilian Airforce, São José dos Campos, Brazil., Lehmann CER; Tropical Diversity, Royal Botanic Garden Edinburgh, Edinburgh, UK.; School of GeoSciences, University of Edinburgh, Edinburgh, UK., Lemes MR; General Coordination of Earth Science (CGCT), National Institute for Space Research (INPE), São José dos Campos, Brazil., Liesenberg V; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Department of Forest Engineering, Santa Catarina State University (UDESC), Lages, Brazil., Loyola R; Department of Ecology, Federal University of Goiás (UFG), Goiânia, Brazil.; INCT in Ecology, Evolution and Biodiversity Conservation, Goiânia, Brazil.; International Institute for Sustainability (IIS), Rio de Janeiro, Brazil., Macedo MN; Amazon Environmental Research Institute (IPAM), Brasília, Brazil.; Woodwell Climate Research Center, Falmouth, MA, USA., de Souza Mendes F; Remote Sensing Applied to Tropical Environments Group, Manchester, UK., do Couto de Miranda S; Universidade Estadual de Goiás (UEG), Palmeiras de Goiás, Brazil., Morton DC; NASA Goddard Space Flight Center, Greenbelt, MD, USA., Moura YM; Remote Sensing Applied to Tropical Environments Group, Manchester, UK., Oldekop JA; Global Development Institute, University of Manchester, Manchester, UK., Ramos-Neto MB; The Nature Conservancy, São Paulo, Brazil., Rosan TM; Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK., Saatchi S; Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles, CA, USA.; NASA-Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA., Sano EE; Embrapa Cerrados, Planaltina, Brazil., Segura-Garcia C; Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, UK., Shimbo JZ; Amazon Environmental Research Institute (IPAM), Brasília, Brazil., Silva TSF; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK., Trevisan DP; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Department of Environmental Sciences, Federal University of São Carlos, São Carlos, Brazil., Zimbres B; Amazon Environmental Research Institute (IPAM), Brasília, Brazil., Wiederkehr NC; Remote Sensing Applied to Tropical Environments Group, Manchester, UK., Silva-Junior CHL; Remote Sensing Applied to Tropical Environments Group, Manchester, UK.; Amazon Environmental Research Institute (IPAM), Brasília, Brazil.; Graduate Program in Biodiversity Conservation, Federal University of Maranhão, São Luís, Brazil.

Publikováno v: Nature ecology & evolution [Nat Ecol Evol] 2024 Jan; Vol. 8 (1), pp. 12-13.

Wood production from a Pinus taeda L. stand attacked by Sapajus nigritus

Autor: PERTILLE, C. T., OLIVEIRA, E. B. de, NICOLETTI, M. F., PICCINATTO FILHO, V., LIESENBERG, V., SCHIMALSKI, M. B.

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

Made available in DSpace on 2022-08-11T16:19:22Z (GMT). No. of bitstreams: 1 AFS-2022-WoodProductionPinustaeda.pdf: 272777 bytes, checksum: 8f8d1c525a87b0737af34616bb11bda5 (MD5) Previous issue date: 2022

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::6bc3fec3753485a7b59b562aca509fa8
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1145389

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Discriminating Forest Successional Stages, Forest Degradation, and Land Use in Central Amazon Using ALOS/PALSAR-2 Full-Polarimetric Data

Autor: WIEDERKEHR, N. C., GAMA, F. F., CASTRO, P. B. N., BISPO, P. da C., BALZTER, H., SANO, E. E., SANTOS, J. R., LIESENBERG, V., MURA, J. C.

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA

We discriminated different successional forest stages, forest degradation, and land use classes in the Tapajós National Forest (TNF), located in the Central Brazilian Amazon. We used full polarimetric images from ALOS/PALSAR-2 that have not yet been

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::f3c9531c63b30a632feca140027e8f90
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1128151

SEMANTIC SEGMENTATION OF ENDANGERED TREE SPECIES IN BRAZILIAN SAVANNA USING DEEPLABV3+ VARIANTS.

Autor: Torres, D. L., Feitosa, R. Q., La Rosa, L. E. C., Happ, P. N., Marcato Junior, J., Gonçalves, W. N., Martins, J., Liesenberg, V.

Publikováno v: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 3/22/2020, Vol. XLII-3/W12, p355-360, 6p