Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Daniel Andrade Maciel"'
Autor:
Daniel Andrade Maciel, Nima Pahlevan, Claudio Clemente Faria Barbosa, Evlyn Márcia Leão de Moraes deNovo, Rejane Souza Paulino, Vitor Souza Martins, Eric Vermote, Christopher J. Crawford
Publikováno v:
Limnology and Oceanography Letters, Vol 8, Iss 6, Pp 850-858 (2023)
Abstract Originally developed for terrestrial science and applications, the US Geological Survey Landsat surface reflectance (SR) archive spanning ~ 40 yr of observations has been increasingly utilized in large‐scale water‐quality studies. These
Externí odkaz:
https://doaj.org/article/6bb5c9f18d104f1b949d855614c8a526
Autor:
Rogério Flores Júnior, Claudio Clemente Faria Barbosa, Daniel Andrade Maciel, Evlyn Marcia Leão de Moraes Novo, Vitor Souza Martins, Felipe de Lucia Lobo, Lino Augusto Sander de Carvalho, Felipe Menino Carlos
Publikováno v:
Frontiers in Remote Sensing, Vol 3 (2022)
The Amazon Basin is the largest on the planet, and its aquatic ecosystems affect and are affected by the Earth’s processes. Specifically, Amazon aquatic ecosystems have been subjected to severe anthropogenic impacts due to deforestation, mining, da
Externí odkaz:
https://doaj.org/article/eb562a7bbff742d9a5a45da046989461
Autor:
Daniel Andrade Maciel, Vânia Aparecida Silva, Helena Maria Ramos Alves, Margarete Marin Lordelo Volpato, João Paulo Rodrigues Alves de Barbosa, Vanessa Cristina Oliveira de Souza, Meline Oliveira Santos, Helbert Rezende de Oliveira Silveira, Mayara Fontes Dantas, Ana Flávia de Freitas, Gladyston Rodrigues Carvalho, Jacqueline Oliveira Dos Santos
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0230013 (2020)
Traditionally, water conditions of coffee areas are monitored by measuring the leaf water potential (ΨW) throughout a pressure pump. However, there is a demand for the development of technologies that can estimate large areas or regions. In this con
Externí odkaz:
https://doaj.org/article/fe6cc41a38c74229aa9f6d33002f7469
Autor:
Cleber Nunes Kraus, Daniel Andrade Maciel, Marie Paule Bonnet, Evlyn Márcia Leão de Moraes Novo
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4114 (2021)
The composition of phytoplankton and the concentration of pigments in their cells make their absorption and specific absorption coefficients key parameters for bio-optical modeling. This study investigated whether the multispectral vertical diffuse a
Externí odkaz:
https://doaj.org/article/921ef561bae34605a7da9eab528a660e
Autor:
Felipe de Lucia Lobo, Gustavo Willy Nagel, Daniel Andrade Maciel, Lino Augusto Sander de Carvalho, Vitor Souza Martins, Cláudio Clemente Faria Barbosa, Evlyn Márcia Leão de Moraes Novo
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2874 (2021)
Due to increasing algae bloom occurrence and water degradation on a global scale, there is a demand for water quality monitoring systems based on remote sensing imagery. This paper describes the scientific, theoretical, and methodological background
Externí odkaz:
https://doaj.org/article/430c7b3348394c92b5c0f70e36c700b5
Autor:
Victor Pedroso Curtarelli, Cláudio Clemente Faria Barbosa, Daniel Andrade Maciel, Rogério Flores Júnior, Felipe Menino Carlos, Evlyn Márcia Leão de Moraes Novo, Marcelo Pedroso Curtarelli, Edson Filisbino Freire da Silva
Publikováno v:
Remote Sensing, Vol 12, Iss 17, p 2828 (2020)
The diffuse attenuation coefficient of downwelling irradiance (Kd) is an essential parameter for inland waters research by remotely sensing the water transparency. Lately, Kd semi-analytical algorithms substituted the empirical algorithms widely empl
Externí odkaz:
https://doaj.org/article/6c6720b3f9724acf805cd7f3ebfbeaf3
Autor:
Biswajeet Pradhan, Matej Vojtek, Daniel Andrade Maciel, Quoc Bao Pham, Jana Vojteková, Camilo Daleles Rennó, Tatiana Dias Tardelli Uehara, Renata Pacheco Quevedo
Publikováno v:
Geocarto International. 37:8190-8213
Most previous studies of landslide susceptibility mapping (LSM) have not contemplated spatial heterogeneity and the commonly used models for LSM are aspatial, which could reduce model performance. ...
Autor:
Claudio Clemente Faria Barbosa, Rogério Flores Júnior, Vitor Souza Martins, Afonso Henrique Moraes Oliveira, Lino Augusto Sander de Carvalho, Evlyn Márcia Leão de Moraes Novo, Felipe de Lucia Lobo, Daniel Andrade Maciel
Publikováno v:
International Journal of Remote Sensing. 41:2807-2817
Remote sensing plays an important role in the monitoring of inland waters. Recently, Cubesats have become an alternative data source for studies that require high spatiotemporal resolutions. Howeve...
Autor:
Meline de Oliveira Santos, Margarete Marin Lordelo Volpato, Helena Maria Ramos Alves, M. F. Dantas, Vânia Aparecida Silva, Ana Flávia de Freitas, Jacqueline Oliveira dos Santos, Helbert Rezende de Oliveira Silveira, Gladyston Rodrigues Carvalho, Vanessa Cristina Oliveira de Souza, João Paulo Rodrigues Alves de Barbosa, Daniel Andrade Maciel
Publikováno v:
PLoS ONE
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
PLoS ONE, Vol 15, Iss 3, p e0230013 (2020)
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
PLoS ONE, Vol 15, Iss 3, p e0230013 (2020)
Traditionally, water conditions of coffee areas are monitored by measuring the leaf water potential throughout a pressure pump. However, there is a demand for the development of technologies that can estimate large areas or regions. In this context,
Autor:
Vitor Souza Martins, Evlyn Márcia Leão de Moraes Novo, Daniel Andrade Maciel, Lino Augusto Sander de Carvalho, Gustavo Willy Nagel, Claudio Clemente Faria Barbosa, Felipe de Lucia Lobo
Publikováno v:
Remote Sensing; Volume 13; Issue 15; Pages: 2874
Remote Sensing, Vol 13, Iss 2874, p 2874 (2021)
Remote Sensing, Vol 13, Iss 2874, p 2874 (2021)
Due to increasing algae bloom occurrence and water degradation on a global scale, there is a demand for water quality monitoring systems based on remote sensing imagery. This paper describes the scientific, theoretical, and methodological background