Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Maiza Nara dos Santos"'
Autor:
Yunyun Feng, Dengsheng Lu, Qi Chen, Michael Keller, Emilio Moran, Maiza Nara dos-Santos, Edson Luis Bolfe, Mateus Batistella
Publikováno v:
International Journal of Digital Earth, Vol 10, Iss 10, Pp 996-1016 (2017)
Previous research has explored the potential to integrate lidar and optical data in aboveground biomass (AGB) estimation, but how different data sources, vegetation types, and modeling algorithms influence AGB estimation is poorly understood. This re
Externí odkaz:
https://doaj.org/article/fbd5d3392a3546dc8c7cf3148b24ff00
Autor:
Ekena Rangel Pinagé, Michael Keller, Paul Duffy, Marcos Longo, Maiza Nara dos-Santos, Douglas C. Morton
Publikováno v:
Remote Sensing, Vol 11, Iss 6, p 709 (2019)
Forest degradation is common in tropical landscapes, but estimates of the extent and duration of degradation impacts are highly uncertain. In particular, selective logging is a form of forest degradation that alters canopy structure and function, wit
Externí odkaz:
https://doaj.org/article/a91213bdad9541d48df975f6c4c1dcf4
Autor:
Danielle I Rappaport, Douglas C Morton, Marcos Longo, Michael Keller, Ralph Dubayah, Maiza Nara dos-Santos
Publikováno v:
Environmental Research Letters, Vol 13, Iss 6, p 065013 (2018)
Despite sustained declines in Amazon deforestation, forest degradation from logging and fire continues to threaten carbon stocks, habitat, and biodiversity in frontier forests along the Amazon arc of deforestation. Limited data on the magnitude of ca
Externí odkaz:
https://doaj.org/article/a586985cb16f415397b5ba54b9efe9d6
Autor:
Luciane Yumie Sato, Vitor Conrado Faria Gomes, Yosio Edemir Shimabukuro, Michael Keller, Egidio Arai, Maiza Nara dos-Santos, Irving Foster Brown, Luiz Eduardo Oliveira e Cruz de Aragão
Publikováno v:
Remote Sensing, Vol 8, Iss 10, p 839 (2016)
Fire is one of the main factors directly impacting Amazonian forest biomass and dynamics. Because of Amazonia’s large geographical extent, remote sensing techniques are required for comprehensively assessing forest fire impacts at the landscape lev
Externí odkaz:
https://doaj.org/article/85c25d3f4ba5475c875cb146fff5b1c0
Autor:
Qi Chen, Dengsheng Lu, Michael Keller, Maiza Nara dos-Santos, Edson Luis Bolfe, Yunyun Feng, Changwei Wang
Publikováno v:
Remote Sensing, Vol 8, Iss 1, p 21 (2015)
Agroforestry has large potential for carbon (C) sequestration while providing many economical, social, and ecological benefits via its diversified products. Airborne lidar is considered as the most accurate technology for mapping aboveground biomass
Externí odkaz:
https://doaj.org/article/b9e7fcd71d104916a7fc72addb4dc798
Autor:
Heiko Balzter, Matteo Pardini, Kevin Tansey, Igor Rizaev, Polyanna da Conceição Bispo, Luciana Spinelli Araujo, Konstantinos Papathanassiou, Dominik Rains, Florian Kugler, Maiza Nara dos Santos, João Roberto dos Santos
Publikováno v:
Bispo, P D C, Pardini, M, Papathanassiou, K P, Kugler, F, Balzter, H, Rains, D, Dos Santos, J R, Rizaev, I G, Tansey, K, Dos Santos, M N & Spinelli Araujo, L 2019, ' Mapping forest successional stages in the Brazilian Amazon using forest heights derived from TanDEM-X SAR interferometry ', Remote Sensing of Environment, vol. 232, pp. 111194 . https://doi.org/10.1016/j.rse.2019.05.013
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Bispo, P D C, Pardini, M, Papathanassiou, K P, Kugler, F, Balzter, H, Rains, D, dos Santos, J R, Rizaev, I G, Tansey, K, dos Santos, M N & Spinelli Araujo, L 2019, ' Mapping forest successional stages in the Brazilian Amazon using forest heights derived from TanDEM-X SAR interferometry ', Remote Sensing of Environment, vol. 232, 111194 . https://doi.org/10.1016/j.rse.2019.05.013
REMOTE SENSING OF ENVIRONMENT
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Bispo, P D C, Pardini, M, Papathanassiou, K P, Kugler, F, Balzter, H, Rains, D, dos Santos, J R, Rizaev, I G, Tansey, K, dos Santos, M N & Spinelli Araujo, L 2019, ' Mapping forest successional stages in the Brazilian Amazon using forest heights derived from TanDEM-X SAR interferometry ', Remote Sensing of Environment, vol. 232, 111194 . https://doi.org/10.1016/j.rse.2019.05.013
REMOTE SENSING OF ENVIRONMENT
Knowledge of the spatial patterns of successional stages (i.e., primary and secondary forest) in tropical forests allows to monitor forest preservation, mortality and regeneration in relation to natural and anthropogenic disturbances. Different succe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc90a10b8d229f47bd934c5d1efbdb76
https://doi.org/10.1016/j.rse.2019.05.013
https://doi.org/10.1016/j.rse.2019.05.013
Autor:
M. N. dos-Santos, Édson Luis Bolfe, Yunyun Feng, Michael Keller, Changwei Wang, Qi Chen, Dengsheng Lu
Publikováno v:
Remote Sensing; Volume 8; Issue 1; Pages: 21
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Remote Sensing, Vol 8, Iss 1, p 21 (2015)
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Remote Sensing, Vol 8, Iss 1, p 21 (2015)
Agroforestry has large potential for carbon (C) sequestration while providing many economical, social, and ecological benefits via its diversified products. Airborne lidar is considered as the most accurate technology for mapping aboveground biomass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ade95f22134ae67a551be9f833c2f067
https://doi.org/10.3390/rs8010021
https://doi.org/10.3390/rs8010021