Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1022403
Research center of Embrapa/Collection: Embrapa Informática Agropecuária - Artigo em periódico indexado (ALICE)
Date Issued: 2014
Type of Material: Artigo em periódico indexado (ALICE)
Authors: ZULLO JUNIOR, J.
COLTRI, P. P.
GONÇALVES, R. R. do V.
ROMANI, L. A. S.
Additional Information: JURANDIR ZULLO JUNIOR, Cepagri/Unicamp; PRISCILA PEREIRA COLTRI, Cepagri/Unicamp; RENATA RIBEIRO DO VALLE GONÇALVES, Cepagri/Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA.
Title: Multi-resolution in remote sensing for agricultural monitoring: a review.
Publisher: Revista Brasileira de Cartografia, Rio de Janeiro, n. 66/7, p. 1517-1529, dez. 2014.
Language: en
Notes: International Issue. Título equivalente: Múltiplas resoluções do sensoriamento remoto aplicado à agricultura: uma revisão.
Keywords: Cana-de-açúcar
Resolução espacial
Resolução temporal
Coffee
Spatial resolution
Temporal resolution
Description: We present a review of literature on remote sensing spatial and temporal images resolution applied to agriculture purposes. In this paper, the defi nitions are reviewed and a focus is given on the applications of resolutions in agricultural studies. A few main applications with low, medium and high spatial resolution focus were selected for this review, especially in sugarcane and coffee crops, where remote sensing contributions are traditionally important. The paper starts with an overview of agriculture and remote sensing, focused on the history of spatial and temporal resolutions uses. This section is followed by a review of low spatial and high temporal resolution systems, with important results in sugarcane. In this section studies conclude that sensors like AVHRR/NOAA can significantly contribute to improve sugarcane monitoring, as well as help understanding of development and expansion. After that, we present medium and high spatial resolution systems, especially for coffee crops that have been showing good results in fi ne scale, with detailed information. Studies conclude that satellites like Geoeye and IKONOS can obtain biophysical information of the culture and satellites like Landsat can monitor the coffee growing. Finally the review presents a conclusion with some key recommendations.
Thesagro: Sensoriamento remoto
Café
NAL Thesaurus: Remote sensing
Sugarcane
Data Created: 2015-08-20
Appears in Collections:Artigo em periódico indexado (CNPTIA)

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