Search Results - "Rennó, C.D."

Height Above the Nearest Drainage – a hydrologically relevant new terrain model by Nobre, A.D., Cuartas, L.A., Hodnett, M., Rennó, C.D., Rodrigues, G., Silveira, A., Waterloo, M., Saleska, S.

“…[Display omitted] ► HAND, a new terrain model providing a novel and unique ability to classify terrain. ► Terrain classes derived using HAND correlated well…”
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Remote sensing for irrigation water management in the semi-arid Northeast of Brazil by Folhes, M.T., Rennó, C.D., Soares, J.V.

“…Northeast of Brazil is a semi-arid region, where water is a key strategic resource in the development of all sectors of the economy. Irrigation agriculture is…”
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An investigation of the selection of texture features for crop discrimination using SAR imagery by Soares, João Vianei, Rennó, Camilo Daleles, Formaggio, Antonio Roberto, da Costa Freitas Yanasse, Corina, Frery, Alejandro Cesar

“…This article presents a methodology for selecting texture measures to maximize the discrimination of agricultural land use classes in SAR images. The images…”
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Exploratory study of the relationship between tropical forest regeneration stages and SIR-C L and C data by da C.F. Yanasse, Corina, J.S. Sant'Anna, Sidnei, Frery, Alejandro C., Rennó, Camilo Daleles, Soares, João Vianei, Luckman, Adrian John

“…In this article, the relationship between secondary forest regrowth stage and SIR-C SAR data is assessed, for an area located near to the Tapajós National…”
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The use of JERS-1 and RADARSAT images for land use classification in the Amazon region by da Costa Freitas, C., Sant'Anna, S.J.S., Renno, C.D.

“…The objective of this paper is to compare the potential of RADARSAT and JERS-1 images to discriminate primary forest, secondary forest and recent activities…”
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A user-friendly system for synthetic aperture radar image classification based on grayscale distributional properties and context by Frery, A.C., Yanasse, C.daC.F., Vieira, P.R., Santanna, S.J.S., Renno, C.D.

“…The purpose of this paper is to present a system for the analysis and classification of Synthetic Aperture Radar (SAR) images. This system, unlike most of its…”
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