Search Results - "Formaggio, A.R"

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  1. 1

    Obtaining crop-specific time profiles of NDVI: the use of unmixing approaches for serving the continuity between SPOT-VGT and PROBA-V time series by Atzberger, C., Formaggio, A.R., Shimabukuro, Y.E., Udelhoven, T., Mattiuzzi, M., Sanchez, G.A., Arai, E.

    Published in International journal of remote sensing (03-04-2014)
    “…The study examined the potential of two unmixing approaches for deriving crop-specific normalized difference vegetation index (NDVI) profiles so that upon…”
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    Journal Article
  2. 2

    Relationships of spectral reflectance and color among surface and subsurface horizons of tropical soil profiles by Galvdo, Lênio Soares, Vitorello, Ícaro, Formaggio, Antonio Roberto

    Published in Remote sensing of environment (01-07-1997)
    “…The reflectance spectra (400–2500 nm) and color attributes of samples from the major horizons of six soil classes with broad distribution in Brazil were…”
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    Journal Article
  3. 3

    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

    Published in Remote sensing of environment (01-02-1997)
    “…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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    Journal Article
  4. 4

    Crop Type Recognition Based on Hidden Markov Models of Plant Phenology by Leite, P., Feitosa, R.Q., Formaggio, A.R., Costa, G., Pakzad, K., Sanches, I.

    “…This work introduces a hidden Markov model (HMM) based technique to classify agricultural crops. The method recognizes different crops by analyzing their…”
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    Conference Proceeding
  5. 5

    Radarsat backscattering from an agricultural scene by Formaggio, A.R, Epiphanio, J.C.N, Simoes, M. dos S

    Published in Pesquisa agropecuaria brasileira (01-05-2001)
    “…Orbital remote sensing in the microwave electromagnetic region has been presented as an important tool for agriculture monitoring. The satellite systems in…”
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    Journal Article
  6. 6

    A new approach to identify land use and land cover areas in Brazilian Amazon areas using neural networks and IR-MSS fraction images from CBERS satellite by Diverio, V.T., Formaggio, A.R., Shimabukuro, Y.E.

    “…This paper shows the classification obtained with an artificial neural network to map land cover areas in Brazilian Amazon region. The new approach is based on…”
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    Conference Proceeding
  7. 7

    Soil erosion modeling using "USLE": two approaches for evaluating the parameters "L" and "S" by Formaggio, A.R., Gameiro, M.G., Epiphanio, J.C.N.

    “…Agricultural activities can accelerate significantly the soil natural erosion processes. Thus, for a sustainable environment, the modeling of soil erosion…”
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    Conference Proceeding
  8. 8

    Evaluation of Radarsat multitemporal data for crop discrimination in highly cultivated areas by Simoes, M.S., Formaggio, A.R., Epiphanio, J.C.N., Freitas, C.C.

    “…The aim of this paper is to evaluate the potential of Radarsat fine mode multitemporal data for crop discrimination and monitoring. The test site is an…”
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    Conference Proceeding