Zobrazeno 1 - 10
of 107
pro vyhledávání: '"indice de surface foliaire"'
Publikováno v:
Archives of Phytopathology and Plant Protection
From 2013 to 2015, a study was conducted on 29 coffee plots to assess the influence of landscape context and plot features on the epidemics of coffee leaf rust (CLR) descriptors in Gumay and Setema districts, Southwest Ethiopia. Maximum CLR severity
Autor:
Boubacar Gano, Delphine Luquet, Alain Audebert, Joseph Sékou B. Dembele, Grégory Beurier, Adama P. Ndour, Diaga Diouf
Publikováno v:
Agronomy
Agronomy, MDPI, 2021, 11 (5), ⟨10.3390/agronomy11050850⟩
Agronomy, Vol 11, Iss 850, p 850 (2021)
Volume 11
Issue 5
Agronomy (Basel)
Agronomy, MDPI, 2021, 11 (5), ⟨10.3390/agronomy11050850⟩
Agronomy, Vol 11, Iss 850, p 850 (2021)
Volume 11
Issue 5
Agronomy (Basel)
Meeting food demand for the growing population will require an increase to crop production despite climate changes and, more particularly, severe drought episodes. Sorghum is one of the cereals most adapted to drought that feed millions of people aro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4b4bb063c9a381c552fca39a53d887a
https://hal.inrae.fr/hal-03259364
https://hal.inrae.fr/hal-03259364
Autor:
Jacques Baudry, Julie Betbeder, Sébastien Rapinel, Audrey Mercier, Nicolas Jégou, Laurence Hubert-Moy
Publikováno v:
Journal of Applied Remote Sensing
Journal of applied remote sensing
Journal of applied remote sensing, Bellingham, WA : SPIE, 2020, 14 (02), pp.1. ⟨10.1117/1.JRS.14.024512⟩
Journal of applied remote sensing
Journal of applied remote sensing, Bellingham, WA : SPIE, 2020, 14 (02), pp.1. ⟨10.1117/1.JRS.14.024512⟩
Monitoring crops at a fine scale is critical because it provides information crucial for assessing the influence of increased food production on sustainable management of agricultural landscapes. We assessed the potential of synthetic aperture radar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a489a35c63ad2b65005af1c38498f80d
http://agritrop.cirad.fr/595966/
http://agritrop.cirad.fr/595966/
Autor:
José Luiz Stape, Flávio Jorge Ponzoni, Julianne de Castro Oliveira, Guerric Le Maire, Yann Nouvellon, Jean-Philippe Gastellu-Etchegorry, Otávio Camargo Campoe, Luiz Carlos Estraviz Rodriguez, Jean-Baptiste Féret
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10 (11), pp.4844-4852. ⟨10.1109/JSTARS.2017.2690000⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2017, 10 (11), pp.4844-4852. ⟨10.1109/JSTARS.2017.2690000⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10 (11), pp.4844-4852. ⟨10.1109/JSTARS.2017.2690000⟩
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2017, 10 (11), pp.4844-4852. ⟨10.1109/JSTARS.2017.2690000⟩
[Departement_IRSTEA]Territoires [TR1_IRSTEA]SYNERGIE [Axe_IRSTEA]TETIS-ATTOS; International audience; Finding suitable models of canopy reflectance in forward simulation mode is a prerequisite for their use in inverse mode to characterize canopy vari
Autor:
Gabriel Hmimina, Albert Porcar-Castell, Sylvain Jay, G. Le Maire, Yann Nouvellon, Christophe Proisy, A. Cheraiet, Ryad Bendoula, Jérôme Chave, J.C. Oliveira, M.-J. Lefevre-Fonollosa, F. de Boissieu, Jean-Philippe Gastellu-Etchegorry, Daniel Berveiller, Twinkle Solanki, Jean-Baptiste Féret, Flávio Jorge Ponzoni, Kamel Soudani
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Remote Sensing of Environment
Remote Sensing of Environment, 2019, 231, pp.110959. ⟨10.1016/j.rse.2018.11.002⟩
Remote Sensing of Environment, Elsevier, 2019, 231, pp.110959. ⟨10.1016/j.rse.2018.11.002⟩
Universidade de São Paulo (USP)
instacron:USP
Remote Sensing of Environment
Remote Sensing of Environment, 2019, 231, pp.110959. ⟨10.1016/j.rse.2018.11.002⟩
Remote Sensing of Environment, Elsevier, 2019, 231, pp.110959. ⟨10.1016/j.rse.2018.11.002⟩
International audience; Leaf mass per area (LMA) and leaf equivalent water thickness (EWT) are key leaf functional traits providing information for many applications including ecosystem functioning modeling and fire risk management. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d345c3ace6ff3d7e8e50bf50d4dc64a9
Publikováno v:
Agronomie. Université Pédagogique Nationale Kinshasa (République démocratique du Congo), 2018. Français
The vulnerability of some maize genotypes (Zea mays L.) grown in the southwestern savannah of the Democratic Republic of Congo to water stress was evaluated. The analysis of the data was based on the climatic conditions and on the technical itinerari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::26f3f341f5410e804855173ec19c63f6
https://hal.archives-ouvertes.fr/tel-02062632/document
https://hal.archives-ouvertes.fr/tel-02062632/document
Autor:
Hu, Ronghai
L’indice de surface foliaire (Leaf Area Index, LAI), défini comme la moitié de la surface foliaire par unité de surface de sol, est un paramètre clé du cycle écologique de la Terre, et sa précision d'acquisition a toujours la nécessité et
Externí odkaz:
http://www.theses.fr/2018STRAD021/document
Autor:
Hu, Ronghai
Publikováno v:
Earth Sciences. Université de Strasbourg, 2018. English. ⟨NNT : 2018STRAD021⟩
Leaf Area Index (LAI), defined as one half of the total leaf area per unit ground surface area, is a key parameter of vegetation structure for modeling Earth's ecological cycle and its acquisition accuracy always has the need and opportunity for impr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7aaa50a98f002654247d30602ce654ad
https://theses.hal.science/tel-02159558/file/Hu_Ronghai_2018_ED269.pdf
https://theses.hal.science/tel-02159558/file/Hu_Ronghai_2018_ED269.pdf
Autor:
Rami Albasha, Pierre Ruelle, Jean-Marie Lopez, Cyril Dejean, Jean-Claude Mailhol, Bruno Cheviron
Publikováno v:
Agricultural Water Management
Agricultural Water Management, Elsevier Masson, 2018, 204, pp.162-179. ⟨10.1016/j.agwat.2018.04.015⟩
Agricultural Water Management, 2018, 204, pp.162-179. ⟨10.1016/j.agwat.2018.04.015⟩
Agricultural Water Management, Elsevier Masson, 2018, 204, pp.162-179. ⟨10.1016/j.agwat.2018.04.015⟩
Agricultural Water Management, 2018, 204, pp.162-179. ⟨10.1016/j.agwat.2018.04.015⟩
[Departement_IRSTEA]Eaux [TR1_IRSTEA]GEUSI [ADD1_IRSTEA]Gestion intégrée de la ressource et des infrastructures [ADD2_IRSTEA]Sûreté alimentaire; International audience; In this paper we present PILOTE-N, a crop model devoted to the calculation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a78ffea5abe5d196c72d76a3d768dd0d
http://agritrop.cirad.fr/598788/
http://agritrop.cirad.fr/598788/
Autor:
Nicolas Lauret, Jan G. P. W. Clevers, Jean-Philippe Gastellu-Etchegorry, Frédéric Baret, Martin Herold, Benjamin Brede, Jan Verbesselt
Publikováno v:
Remote Sensing 7 (10), . (2018)
Remote Sensing
Remote Sensing, MDPI, 2018, 10 (7), ⟨10.3390/rs10071032⟩
BASE-Bielefeld Academic Search Engine
Remote Sensing 10 (2018) 7
Remote Sensing; Volume 10; Issue 7; Pages: 1032
Remote Sensing, Vol 10, Iss 7, p 1032 (2018)
Remote Sensing, 10(7)
Remote Sensing
Remote Sensing, MDPI, 2018, 10 (7), ⟨10.3390/rs10071032⟩
BASE-Bielefeld Academic Search Engine
Remote Sensing 10 (2018) 7
Remote Sensing; Volume 10; Issue 7; Pages: 1032
Remote Sensing, Vol 10, Iss 7, p 1032 (2018)
Remote Sensing, 10(7)
International audience; Land Surface Phenology (LSP) and Leaf Area Index (LAI) are important variables that describe the photosynthetically active phase and capacity of vegetation. Both are derived on the global scale from optical satellite sensors a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32aed088e7f0292eebb358d99a0959ce
http://prodinra.inra.fr/record/440611
http://prodinra.inra.fr/record/440611