Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Michelle Cristina Araujo Picoli"'
Publikováno v:
Pesquisa Agropecuária Brasileira, Vol 52, Iss 11, Pp 1063-1071 (2017)
Abstract: The objective of this work was to evaluate the potential of several spectral indices, used on moderate resolution imaging spectroradiometer (Modis) images, in identifying drought events in sugarcane. Images of Terra and Aqua satellites were
Externí odkaz:
https://doaj.org/article/635b916a2ef845b88593c17b9950c6c2
Publikováno v:
Acta Scientiarum: Technology, Vol 40, Iss 1, Pp e34947-e34947 (2018)
This study evaluated the use of rainfall data from the European Center for Medium-Range Weather Forecast (ECMWF) for monitoring meteorological drought in the state of São Paulo, based on rainfall data and on the Standardized Precipitation Index (SPI
Externí odkaz:
https://doaj.org/article/9c11ac10c0d74300a5a98cd7aed84fd2
Autor:
Pedro Gerber Machado, Daniel Garbellini Duft, Michelle Cristina Araujo Picoli, Arnaldo Walter
Publikováno v:
Sustentabilidade em Debate, Vol 5, Iss 1, Pp 16-28 (2014)
Para reduzir emissões dos gases do efeito estufa e aumentar a segurança de suprimento energético, o interesse internacional por biocombustíveis tem crescido consideravelmente nos últimos anos. Com a crescente demanda e consequente expansão da p
Externí odkaz:
https://doaj.org/article/1691762092134162bb741633a57b6d22
Autor:
Cesare Di Girolamo-Neto, Ieda Del’Arco Sanches, Alana Kasahara Neves, Victor Hugo Rohden Prudente, Thales Sehn Körting, Michelle Cristina Araujo Picoli, Luiz Eduardo Oliveira e Cruz de Aragão
Publikováno v:
Drones, Vol 3, Iss 2, p 36 (2019)
Sugarcane products contribute significantly to the Brazilian economy, generating U.S. $12.2 billion in revenue in 2018. Identifying and monitoring factors that induce yield reduction, such as weed occurrence, is thus imperative. The detection of Berm
Externí odkaz:
https://doaj.org/article/caf8bbbb88bc4e9aaee73767f1c0eb4c
Autor:
Michelle Cristina Araujo Picoli, Rubens Augusto Lamparelli, Edson Eyji Sano, Jansle Vieira Rocha
Publikováno v:
Pesquisa Agropecuária Brasileira, Vol 47, Iss 9, Pp 1307-1316 (2012)
O objetivo deste trabalho foi avaliar o potencial das imagens multipolarizadas do sensor‑radar Palsar/Alos em diferenciar as fases fenológicas da cana‑de‑açúcar. Valores digitais de quatro imagens do sensor, dos meses de fevereiro, maio, ago
Externí odkaz:
https://doaj.org/article/70d9bb250821453f925ddfdd0ce89006
Publikováno v:
Biofuels, Bioproducts and Biorefining. 15:1591-1603
Autor:
Carla Kazue Nakao Cavaliero, Núria Aparecida Miatto Rampazo, Antônio Heriberto de Castro Teixeira, Michelle Cristina Araujo Picoli
Publikováno v:
Sugar Tech. 23:524-535
Actual evapotranspiration (ETa) is the main component of crop water consumption. Sugarcane requires large volumes of water during its development and may induce changes in local and regional climate. Field measurements, besides their high cost, are i
Autor:
Sarah Lechler, Michelle Cristina Araujo Picoli, Michel Eustáquio Dantas Chaves, Judith A. Verstegen, Alber Sanchez, Anderson R. Soares
Publikováno v:
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives, 43(B3), 705-711
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives 43 (2020) B3
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 705-711 (2020)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives 43 (2020) B3
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 705-711 (2020)
Deforestation is a threat to biodiversity and the world’s climate. As agriculture and mining areas grow, forest loss becomes unbearable for the environment. Consequently, monitoring deforestation is crucial for decision makers to create polices. Th
Autor:
Lorena A. Santos, Rolf Simoes, Anderson R. Soares, Gilberto Ribeiro de Queiroz, Ieda Del’Arco Sanches, Michelle Cristina Araujo Picoli, Karine Reis Ferreira, Alber Sanchez, Michel Eustáquio Dantas Chaves
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 533-539 (2020)
Currently, the overwhelming amount of Earth Observation data demands new solutions regarding processing and storage. To reduce the amount of time spent in searching, downloading and pre-processing data, the remote Sensing community is coming to an ag
Autor:
Pedro R. Andrade, Lorena A. Santos, Karine Reis Ferreira, Adeline Maciel, Rolf Simoes, Alber Sanchez, Alexandre Xavier Ywata de Carvalho, Michelle Cristina Araujo Picoli, Gilberto Camara
Publikováno v:
Scientific Data, Vol 7, Iss 1, Pp 1-10 (2020)
Scientific Data
Scientific Data
This paper presents a dataset of yearly land use and land cover classification maps for Mato Grosso State, Brazil, from 2001 to 2017. Mato Grosso is one of the world’s fast moving agricultural frontiers. To ensure multi-year compatibility, the work