Zobrazeno 1 - 8
of 8
pro vyhledávání: '"A. J. B. Luiz"'
Autor:
I. D. Sanches, R. Q. Feitosa, B. Montibeller, P. M. Achanccaray Diaz, A. J. B. Luiz, M. D. Soares, V. H. R. Prudente, D. C. Vieira, L. E. P. Maurano, P. N. Happ, J. Chamorro, L. V. Oldoni
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 251-256 (2020)
Applying remote sensing technology to map and monitor agriculture and its impacts can greatly contribute for the proper development of this activity, promoting efficient food, fiber and energy production. For that, not only remote sensing images are
Externí odkaz:
https://doaj.org/article/1e1056ba47d649a68f1cce490e2f6bd5
Autor:
I. D. Sanches, A. J. B. Luiz, B. Montibeller, B. Schultz, K. Trabaquini, I. D. R. Eberhardt, A. R. Formaggio, L. E. Maurano
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W6, Pp 149-156 (2019)
The agricultural activity can greatly benefit from remote sensing technology (RS). Optical passive RS has been vastly explored for agricultural mapping and monitoring, in despite of cloud cover issue. This is observed even in the tropics, where frequ
Externí odkaz:
https://doaj.org/article/82d24660c9fb414eb930a2dafa734140
Autor:
I. D. Sanches, R. Q. Feitosa, P. Achanccaray, B. Montibeller, A. J. B. Luiz, M. D. Soares, V. H. R. Prudente, D. C. Vieira, L. E. P. Maurano
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1, Pp 387-392 (2018)
The monitoring of agricultural activities at a regular basis is crucial to assure that the food production meets the world population demands, which is increasing yearly. Such information can be derived from remote sensing data. In spite of topic’s
Externí odkaz:
https://doaj.org/article/8afaf08846df4e5a909180c841ed7ccb
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B8, Pp 845-850 (2016)
The objective of this research is to classify agricultural land use in a region of the Cerrado (Brazilian Savanna) biome using a time series of Enhanced Vegetation Index (EVI) from Landsat 8 OLI. Phenological metrics extracted from EVI time series, a
Externí odkaz:
https://doaj.org/article/d8ee31f8155840b79e2a821072d1d1e3
Publikováno v:
Brazilian Journal of Biology, Vol 76, Iss 3, Pp 735-742
Abstract Biomonitoring is a cheap and effective tool for evaluation of water quality, and infer on the balance of aquatic ecosystems. The benthic macroinvertebrates are bioindicators sensitive to environmental changes, and can assist in detecting and
Externí odkaz:
https://doaj.org/article/2a8460bd38c24b2284a4e85b3fc3ca8a
Autor:
Adalberto K. Miura, Antonio R. Formaggio, Yosio E. Shimabukuro, Sergio D. dos Anjos, Alfredo J. B. Luiz
Publikováno v:
Engenharia Agrícola, Vol 31, Iss 3, Pp 607-620 (2011)
A humanidade sempre utilizou a biomassa para fins energéticos, porém com o aumento da demanda, ameaças à segurança energética e os danos para o ambiente e para a saúde decorrentes da utilização dos combustíveis fósseis, a importância dest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::f9b9680cc10417485f10c051af55f13a
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000300020
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162011000300020
Publikováno v:
Revista Brasileira de Cartografia, Vol 57, Iss 2, Pp 162-167 (2005)
The reflectance of agricultural cultures and other terrestrial surface "targets" is an intrinsic parameter of these targets, so in many situations, it must be used instead of the values of "gray levels" that is found in the satellite images. In order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::2eb534112b73978c3cb4f1177d74e094
http://www.rbc.ufrj.br/_pdf_57_2005/57_2_11.pdf
http://www.rbc.ufrj.br/_pdf_57_2005/57_2_11.pdf
Publikováno v:
Revista Brasileira de Engenharia Agrícola e Ambiental-Agriambi, Vol 7, Iss 1, Pp 85-90 (2003)
Este trabalho analisa a variabilidade do NDVI (Índice de Vegetação por Diferença Normalizada) sobre o Brasil, utilizando-se a análise de agrupamentos. As análises foram feitas através de imagens do sensor Advanced Very High Resolution Radiomet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::b5eb2dbcbef6526ec9d68968431e9f7e
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662003000100014
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662003000100014