Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Rubens A. C. Lamparelli"'
Autor:
João P. S. Werner, Mariana Belgiu, Inacio T. Bueno, Aliny A. Dos Reis, Ana P. S. G. D. Toro, João F. G. Antunes, Alfred Stein, Rubens A. C. Lamparelli, Paulo S. G. Magalhães, Alexandre C. Coutinho, Júlio C. D. M. Esquerdo, Gleyce K. D. A. Figueiredo
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1421 (2024)
Integrated crop–livestock systems (ICLS) are among the main viable strategies for sustainable agricultural production. Mapping these systems is crucial for monitoring land use changes in Brazil, playing a significant role in promoting sustainable a
Externí odkaz:
https://doaj.org/article/484b040de1fb46ecb851cc7798aab45e
Autor:
Ana P. S. G. D. D. Toro, Inacio T. Bueno, João P. S. Werner, João F. G. Antunes, Rubens A. C. Lamparelli, Alexandre C. Coutinho, Júlio C. D. M. Esquerdo, Paulo S. G. Magalhães, Gleyce K. D. A. Figueiredo
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 1130 (2023)
Regenerative agricultural practices are a suitable path to feed the global population. Integrated Crop–livestock systems (ICLSs) are key approaches once the area provides animal and crop production resources. In Brazil, the expectation is to increa
Externí odkaz:
https://doaj.org/article/8070c2d50868467b93fef9874a4aff57
Autor:
Francisco R. da S. Pereira, Aliny A. Dos Reis, Rodrigo G. Freitas, Stanley R. de M. Oliveira, Lucas R. do Amaral, Gleyce K. D. A. Figueiredo, João F. G. Antunes, Rubens A. C. Lamparelli, Edemar Moro, Paulo S. G. Magalhães
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 2, p 41 (2023)
The recent advances in unmanned aerial vehicle (UAV)-based remote sensing systems have broadened the remote sensing applications for agriculture. Despite the great possibilities of using UAVs to monitor agricultural fields, specific problems related
Externí odkaz:
https://doaj.org/article/fbb189f6fa6044ce854b885e392ad230
Publikováno v:
Engenharia Agrícola, Vol 35, Iss 6, Pp 1127-1136 (2015)
RESUMO As imagens do sensor MODIS fornecem dados que cobrem áreas de grande extensão com alta periodicidade, características fundamentais que possibilitam o monitoramento de culturas agrícolas estratégicas para o Brasil, como as da cana-de-açú
Externí odkaz:
https://doaj.org/article/c898ebf5c17e408796a3440462c1ca68
Autor:
Aliny A. Dos Reis, João P. S. Werner, Bruna C. Silva, Gleyce K. D. A. Figueiredo, João F. G. Antunes, Júlio C. D. M. Esquerdo, Alexandre C. Coutinho, Rubens A. C. Lamparelli, Jansle V. Rocha, Paulo S. G. Magalhães
Publikováno v:
Remote Sensing, Vol 12, Iss 16, p 2534 (2020)
Fast and accurate quantification of the available pasture biomass is essential to support grazing management decisions in intensively managed fields. The increasing temporal and spatial resolutions offered by the new generation of orbital platforms,
Externí odkaz:
https://doaj.org/article/73bc72dcd1514ca087a6860ee6e75e74
Publikováno v:
Engenharia Agrícola, Vol 34, Iss 6, Pp 1245-1255 (2014)
Some models have been developed using agrometeorological and remote sensing data to estimate agriculture production. However, it is expected that the use of SAR images can improve their performance. The main objective of this study was to estimate th
Externí odkaz:
https://doaj.org/article/41834331e8e14bb0bebef3bc78b77fdc
Publikováno v:
Engenharia Agrícola, Vol 34, Iss 2, Pp 322-331 (2014)
The climate variability between the growth and harvesting of sugar cane is very important because it directly affects yield. The MODIS sensor has characteristics like spatial and temporal resolution that can be applied to monitoring of vegetative vig
Externí odkaz:
https://doaj.org/article/4e3ed6c9ccee4997a6dddf08fd711d0f
Publikováno v:
Engenharia Agrícola, Vol 34, Iss 1, Pp 102-111 (2014)
Coffee production was closely linked to the economic development of Brazil and, even today, coffee is an important product of the national agriculture. The State of Minas Gerais currently accounts for 52% of the whole coffee area in Brazil. Remote se
Externí odkaz:
https://doaj.org/article/899b2246638344acb6797478ebefd0de
Autor:
Jerry A. Johann, Jansle V. Rocha, Stanley R. de M. Oliveira, Luiz H. A. Rodrigues, Rubens A. C. Lamparelli
Publikováno v:
Engenharia Agrícola, Vol 33, Iss 3, Pp 511-524 (2013)
The aim of this study was to group temporal profiles of 10-day composites NDVI product by similarity, which was obtained by the SPOT Vegetation sensor, for municipalities with high soybean production in the state of Paraná, Brazil, in the 2005/2006
Externí odkaz:
https://doaj.org/article/afe43b9d9d5e4d5a8031e1d8252d8cb2
Publikováno v:
Engenharia Agrícola, Vol 33, Iss 3, Pp 525-537 (2013)
This research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during th
Externí odkaz:
https://doaj.org/article/967d516b0104419caeb453b77f6e3ad2