Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Luciana Miura Sugawara"'
Autor:
Bernardo Friedrich Theodor Rudorff, Daniel Alves Aguiar, Wagner Fernando Silva, Luciana Miura Sugawara, Marcos Adami, Mauricio Alves Moreira
Publikováno v:
Remote Sensing, Vol 2, Iss 4, Pp 1057-1076 (2010)
This study’s overarching aim is to establish the areal extent and characteristics of the rapid sugarcane expansion and land use change in São Paulo state (Brazil) as a result of an increase in the demand for ethanol, using Landsat type remotely se
Externí odkaz:
https://doaj.org/article/b1af093659e54d48b671128cb830f2e0
Publikováno v:
Pesquisa Agropecuária Brasileira, Vol 43, Iss 12, Pp 1763-1768 (2008)
O objetivo deste trabalho foi avaliar a viabilidade do uso de imagens do Landsat, para o mapeamento da área cultivada com soja, nas safras de 2000/2001 a 2006/2007, no Estado do Paraná. A análise dos "quick looks" das imagens dos sensores TM e ETM
Externí odkaz:
https://doaj.org/article/cbfd4a97193842d8b43310c5c6142cf0
Autor:
Conrado de Moraes Rudorff, Rodrigo Rizzi, Bernardo Friedrich Theodor Rudorff, Luciana Miura Sugawara, Carlos Antônio Oliveira Vieira
Publikováno v:
Ciência Rural, Vol 37, Iss 1, Pp 118-125 (2007)
Este trabalho objetivou avaliar o potencial e as limitações das imagens MODIS para classificação e estimativa de área de soja por meio do método de superfície de resposta espectro-temporal (Spectral-Temporal Response Surface - STRS). Um mapa t
Externí odkaz:
https://doaj.org/article/35e4eda9d2244c449315c16f769b4883
Publikováno v:
Scientia Agricola, Vol 60, Iss 3, Pp 433-440 (2003)
Agrometeorological models interfaced with the Geographic Information System - GIS are an alternative to simulate and quantify the effect of weather spatial and temporal variability on crop yield. The objective of this work was to adapt and interface
Externí odkaz:
https://doaj.org/article/0e29d2a872ed43a39700b1574db7802d
Autor:
Luciana Miura Sugawara
Publikováno v:
Biblioteca Digital de Teses e Dissertações do INPEInstituto Nacional de Pesquisas EspaciaisINPE.
Modelos agronômicos para estimativa da produtividade agrícola da cana-de-açúcar foram desenvolvidos e adaptados nas últimas décadas, mas seu uso permanece restrito à área acadêmica. Os recentes avanços observados nas geotecnologias, em espe
Externí odkaz:
http://urlib.net/sid.inpe.br/mtc-m19/2010/10.08.14.39
Autor:
Luciana Miura Sugawara
Publikováno v:
Biblioteca Digital de Teses e Dissertações do INPEInstituto Nacional de Pesquisas EspaciaisINPE.
O presente trabalho tem por objetivo desenvolver um modelo para acompanhamento e estimativa da produtividade da cultura da soja (Glycine max L. Merril)em um sistema de informações geográficas (SIG), a partir de um modelo agrometeorológico pontual
Externí odkaz:
http://urlib.net/dpi.inpe.br/lise/2002/11.18.18.05
Autor:
Ivo Koga, Patrícia L. O. Guimarães, Eugenio Sper de Almeida, Marcos Paulo da Silva, Luciana Miura Sugawara, Márcio Antonio Aparecido Santana
Publikováno v:
SN Applied Sciences. 2
Meteorological observation systems are extremely data-driven. However, several factors affect measurements, which require the use of environmental metrology techniques to increase the quality of measurements, decrease errors and evaluate measurements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7acc81eaa71028ea009e7c9c1826ca8
https://doi.org/10.1007/s42452-020-2037-4
https://doi.org/10.1007/s42452-020-2037-4
Autor:
Marcio Pupin Mello, Daniel Alves Aguiar, Marcos Adami, Luciana Miura Sugawara, Bernardo Friedrich Theodor Rudorff, Ramon M. Freitas
Publikováno v:
Sustainability, Vol 4, Iss 4, Pp 574-585 (2012)
Sustainability; Volume 4; Issue 4; Pages: 574-585
Sustainability; Volume 4; Issue 4; Pages: 574-585
The use of biofuels to mitigate global carbon emissions is highly dependent on direct and indirect land use changes (LUC). The direct LUC (dLUC) can be accurately evaluated using remote sensing images. In this work we evaluated the dLUC of about 4 mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf2eb1bd155f7afe10b4fcd695aa3db5
http://www.mdpi.com/2071-1050/4/4/574/
http://www.mdpi.com/2071-1050/4/4/574/
Autor:
Luciana Miura Sugawara Berka, Yosio Edemir Shimabukuro, Alexandre Cândido Xavier, Bernardo Friedrich Theodor Rudorff, Maurício Alves Moreira
Publikováno v:
International Journal of Remote Sensing. 27:755-768
This paper presents a feasibility study using multi‐temporal Enhanced Vegetation Index (EVI) from Moderate Resolution Imaging Spectroradiometer (MODIS) data to classify sugarcane crop. This study was carried out in Sao Paulo State which is the majo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d93682bc0ed025ff30dc0f2727ba615
https://doi.org/10.1080/01431160500296735
https://doi.org/10.1080/01431160500296735
Autor:
Wagner Fernando da Silva, Bernardo Friedrich Theodor Rudorff, Daniel Alves Aguiar, Luciana Miura Sugawara, Marcos Adami, Maurício Alves Moreira
Publikováno v:
Remote Sensing; Volume 2; Issue 4; Pages: 1057-1076
Remote Sensing, Vol 2, Iss 4, Pp 1057-1076 (2010)
Remote Sensing, Vol 2, Iss 4, Pp 1057-1076 (2010)
This study’s overarching aim is to establish the areal extent and characteristics of the rapid sugarcane expansion and land use change in Sao Paulo state (Brazil) as a result of an increase in the demand for ethanol, using Landsat type remotely sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4a94a4d935543231472b4a640c7142f