Evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing
This studies focuses on the relationships between the reflectance spectra of oil palm leaves and their deficiencies in nitrogen and different minerals (P, K, Mg, Fe). The aim of this work is to develop tools for nutritive stress detection based on remote sensing. A data base was constituted in Indonesia on oil palm trees showing apparent deficiencies and on others grown in trials balancing N and P on one side and K and Mg on the other side. Measurements were done at the leaflet level, providing with a mean reflectance for the leaf in the visible and near-infrared domain (400-900 nm). In parallel, chemical analysis of the leaflets were achieved to provide with the mean concentrations of the different constituents of the leaf. 48 spectral indexes were selected to describe the more exhaustively the spectral features, or found in the literature as efficient parameters to detect nutrition stresses. Statistical analysis was achieved in two different ways: one to establish a predictive model for the chemical concentrations of N, P, K, Mg and Fe in the leaf and one to discriminate these five main classes of deficiencies observed in the fields. None of these approaches led to a significant result, as errors are very high and much above the stress detection threshold or the expected level of discrimination. Possible causes of noise are analysed and perspective to improve the analysis are given.
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Universitat de Valencia
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Subjects: | U30 - Méthodes de recherche, F61 - Physiologie végétale - Nutrition, Elaeis guineensis, télédétection, stress, nutrition des plantes, http://aims.fao.org/aos/agrovoc/c_2509, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_7452, http://aims.fao.org/aos/agrovoc/c_16379, |
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dig-cirad-fr-5393132024-01-28T15:13:26Z http://agritrop.cirad.fr/539313/ http://agritrop.cirad.fr/539313/ Evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing. Lelong Camille, Lanore Mathieu, Caliman Jean-Pierre. 2006. In : Second recent advances in quantitative remote sensing (RAQRS'II), Auditori de Torrent, Spain, 25-29 September 2006. Sobrino José A. (ed.). Universidad de Valencia. Valence : Universitat de Valencia, 147-152. ISBN 978-84-370-6533-5 International Symposium on Recent Advances in Quantitative Remote Sensing. 2, Valence, Espagne, 25 Septembre 2006/29 Septembre 2006. Evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing Lelong, Camille Lanore, Mathieu Caliman, Jean-Pierre eng 2006 Universitat de Valencia Second recent advances in quantitative remote sensing (RAQRS'II), Auditori de Torrent, Spain, 25-29 September 2006 U30 - Méthodes de recherche F61 - Physiologie végétale - Nutrition Elaeis guineensis télédétection stress nutrition des plantes http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7452 http://aims.fao.org/aos/agrovoc/c_16379 This studies focuses on the relationships between the reflectance spectra of oil palm leaves and their deficiencies in nitrogen and different minerals (P, K, Mg, Fe). The aim of this work is to develop tools for nutritive stress detection based on remote sensing. A data base was constituted in Indonesia on oil palm trees showing apparent deficiencies and on others grown in trials balancing N and P on one side and K and Mg on the other side. Measurements were done at the leaflet level, providing with a mean reflectance for the leaf in the visible and near-infrared domain (400-900 nm). In parallel, chemical analysis of the leaflets were achieved to provide with the mean concentrations of the different constituents of the leaf. 48 spectral indexes were selected to describe the more exhaustively the spectral features, or found in the literature as efficient parameters to detect nutrition stresses. Statistical analysis was achieved in two different ways: one to establish a predictive model for the chemical concentrations of N, P, K, Mg and Fe in the leaf and one to discriminate these five main classes of deficiencies observed in the fields. None of these approaches led to a significant result, as errors are very high and much above the stress detection threshold or the expected level of discrimination. Possible causes of noise are analysed and perspective to improve the analysis are given. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/539313/1/document_539313.pdf application/pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=197612 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=200757 |
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U30 - Méthodes de recherche F61 - Physiologie végétale - Nutrition Elaeis guineensis télédétection stress nutrition des plantes http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7452 http://aims.fao.org/aos/agrovoc/c_16379 U30 - Méthodes de recherche F61 - Physiologie végétale - Nutrition Elaeis guineensis télédétection stress nutrition des plantes http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7452 http://aims.fao.org/aos/agrovoc/c_16379 |
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U30 - Méthodes de recherche F61 - Physiologie végétale - Nutrition Elaeis guineensis télédétection stress nutrition des plantes http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7452 http://aims.fao.org/aos/agrovoc/c_16379 U30 - Méthodes de recherche F61 - Physiologie végétale - Nutrition Elaeis guineensis télédétection stress nutrition des plantes http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7452 http://aims.fao.org/aos/agrovoc/c_16379 Lelong, Camille Lanore, Mathieu Caliman, Jean-Pierre Evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing |
description |
This studies focuses on the relationships between the reflectance spectra of oil palm leaves and their deficiencies in nitrogen and different minerals (P, K, Mg, Fe). The aim of this work is to develop tools for nutritive stress detection based on remote sensing. A data base was constituted in Indonesia on oil palm trees showing apparent deficiencies and on others grown in trials balancing N and P on one side and K and Mg on the other side. Measurements were done at the leaflet level, providing with a mean reflectance for the leaf in the visible and near-infrared domain (400-900 nm). In parallel, chemical analysis of the leaflets were achieved to provide with the mean concentrations of the different constituents of the leaf. 48 spectral indexes were selected to describe the more exhaustively the spectral features, or found in the literature as efficient parameters to detect nutrition stresses. Statistical analysis was achieved in two different ways: one to establish a predictive model for the chemical concentrations of N, P, K, Mg and Fe in the leaf and one to discriminate these five main classes of deficiencies observed in the fields. None of these approaches led to a significant result, as errors are very high and much above the stress detection threshold or the expected level of discrimination. Possible causes of noise are analysed and perspective to improve the analysis are given. |
format |
conference_item |
topic_facet |
U30 - Méthodes de recherche F61 - Physiologie végétale - Nutrition Elaeis guineensis télédétection stress nutrition des plantes http://aims.fao.org/aos/agrovoc/c_2509 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_7452 http://aims.fao.org/aos/agrovoc/c_16379 |
author |
Lelong, Camille Lanore, Mathieu Caliman, Jean-Pierre |
author_facet |
Lelong, Camille Lanore, Mathieu Caliman, Jean-Pierre |
author_sort |
Lelong, Camille |
title |
Evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing |
title_short |
Evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing |
title_full |
Evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing |
title_fullStr |
Evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing |
title_full_unstemmed |
Evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing |
title_sort |
evaluation of hyperspectral remote sensing relevance to estimate oil palm trees nutrition status remote sensing |
publisher |
Universitat de Valencia |
url |
http://agritrop.cirad.fr/539313/ http://agritrop.cirad.fr/539313/1/document_539313.pdf |
work_keys_str_mv |
AT lelongcamille evaluationofhyperspectralremotesensingrelevancetoestimateoilpalmtreesnutritionstatusremotesensing AT lanoremathieu evaluationofhyperspectralremotesensingrelevancetoestimateoilpalmtreesnutritionstatusremotesensing AT calimanjeanpierre evaluationofhyperspectralremotesensingrelevancetoestimateoilpalmtreesnutritionstatusremotesensing |
_version_ |
1792496669176102912 |