Zobrazeno 1 - 10 of 40 pro vyhledávání: '"Image spot"'
1
Classification binaire sur image satellitale multibandes pour la cartographie du recouvrement arboré (chêne-liège de la Maamora)
Autor: BANABOU, Abdelkader, EL ABOUDI, Ahmed, OUAREG, Zakaria, AAFI, Abderrahmane, CHKHICHEKH, Aissa, MOUKRIM, Said, LAARIBYA, Said
Dans cette étude, une classification dirigée binaire « arbre, non arbre», selon la méthode SVM (Support Vector Machine), a été testée pour la cartographie du recouvrement arboré des peuplements naturels de chêne-liège dans les cantons A, B
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f5f4d222d944ec17f99f9afa73618bff
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2
Conference
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3
Apport de l'imagerie satellitaire SPOT dans la gestion durable des écosystèmes de mangroves de Toukouzou- Hozalem, départements de Grand-Lahou et Jacqueville, Sud de la Côte d'Ivoire
Autor: Dibi Nda, Hyppolite, Kouassi, Kouadio, Tra Bi, Francis, Konan, Kouakou, Bohoussou, Natacha
Cette étude, dont l’objectif est de produire des données actualisées sur la dynamique des écosystèmes de mangrove pour contribuer à leur meilleure gestion, s’est appuyée sur les images spot 5 et 6. Une capitalisation des données de terrai
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______166::dd5ca0c1e9c44e852ca3e046449cd148
https://hal.archives-ouvertes.fr/hal-02189383
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4
Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an artificial neural network approach
Autor: Kaniska Mallick, Vincenzo Magliulo, Olivier Roupsard, Matthias Peichl, Loise Wandera, Gerard Kiely
Publikováno v: Hydrology and earth system sciences, 21(1), 197-215. Copernicus
Hydrology and earth system sciences (2016). doi:10.5194/hess-2016-344
info:cnr-pdr/source/autori:L. Wandera, K. Mallick, G. Kiely, O. Roupsard, M. Peichl, and V. Magliulo/titolo:Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an Artificial Neural Network approach/doi:10.5194%2Fhess-2016-344/rivista:Hydrology and earth system sciences/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume
Hydrology and Earth System Sciences, Vol 21, Iss 1, Pp 197-215 (2017)
Hydrology and earth system sciences 21 (2017): 197–215. doi:10.5194/hess-21-197-2017
info:cnr-pdr/source/autori:L. Wandera, K. Mallick, G. Kiely, O. Roupsard, M. Peichl, and V. Magliulo/titolo:Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an Artificial Neural Network approach/doi:10.5194%2Fhess-21-197-2017/rivista:Hydrology and earth system sciences/anno:2017/pagina_da:197/pagina_a:215/intervallo_pagine:197–215/volume:21
Hydrology and Earth System Sciences
Upscaling instantaneous evapotranspiration retrieved at any specific time-of-day (ETi) to daily evapotranspiration (ETd) is a key challenge in mapping regional ET using polar orbiting sensors. Various studies have unanimously cited the shortwave inco
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38319dbf61ac60c1bbda8db857beb1fd
https://www.hydrol-earth-syst-sci.net/21/197/2017/
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5
Une approche multiscalaire par télédétection pour la cartographie et la caractérisation des systèmes agricoles à l'échelle régionale
Autor: Bellón de la Cruz, Beatriz
Publikováno v: Traitement des images [eess.IV]. AgroParisTech, 2018. Français. ⟨NNT : 2018AGPT0002⟩
In a context of regional land-use planning, agricultural systems’ mapping - crop types and cropping practices – allows monitoring of what is being produced, where and how, and therefore represents a key element for regional assessment of the agri
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5602d4694adcb30222355653f3d39c12
http://agritrop.cirad.fr/589308/
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6
A pilot study to delimit tsetse target populations in Zimbabwe
Autor: William Shereni, Jérémy Bouyer, Gerald Chikowore, Moses Zimba, Peter Chinwada, François Roger, Laure Guerrini, Ahmadou Hamady Dicko
Publikováno v: 9th International Congress of Dipterology abstracts volume
PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases, Public Library of Science, 2017, 11 (5), 17 p. ⟨10.1371/journal.pntd.0005566⟩
Plos Neglected Tropical Diseases 5 (11), 17 p.. (2017)
PLoS Neglected Tropical Diseases, Vol 11, Iss 5, p e0005566 (2017)
Background Tsetse (Glossina sensu stricto) are cyclical vectors of human and animal trypanosomoses, that are presently targeted by the Pan African Tsetse and Trypanosomiasis Eradication Campaign (PATTEC) coordinated by the African Union. In order to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ec7584c03f6a7d1f5e7e268b433f7c8
http://agritrop.cirad.fr/590861/
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7
Landsat-8 cloud-free observations in wet tropical areas: a case study in South East Asia
Autor: Jean-François Cornu, Vincent Douzal, Hugo Antonio Ruiz Piña, Henri Laborde, Serge Morand
Publikováno v: Remote Sensing Letters
Remote Sensing Letters, Taylor and Francis, 2017, 8 (6), pp.537-546. ⟨10.1080/2150704x.2017.1297543⟩
The recent launch of the Landsat-8 satellite, in parallel to the opening of 40 years of archives issued from the Landsat program, has created new opportunities for the design of large-scale initiatives for environmental monitoring at moderate spatial
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::205ec8eaac6385e264e1c5b108090e27
https://hal.inrae.fr/hal-02606464
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9
A combined random forest and OBIA classification scheme for mapping smallholder agriculture at different nomenclature levels using multisource data (simulated sentinel-2 time series, VHRS and DEM)
Autor: Stéphane Dupuy, Suzanne Butler, Elodie Vintrou, Valentine Lebourgeois, Maël Ameline, Agnès Bégué
Publikováno v: Remote Sensing
Remote Sensing, Vol 9, Iss 3, p 259 (2017)
Remote Sensing; Volume 9; Issue 3; Pages: 259
Sentinel-2 images are expected to improve global crop monitoring even in challenging tropical small agricultural systems that are characterized by high intra- and inter-field spatial variability and where satellite observations are disturbed by the p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5aba7f3010f9b3488b79f888e9a51a4
http://agritrop.cirad.fr/583973/
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10
Remote Sensing and Measuring Deforestation
Autor: Valéry Gond, Dinh Ho Tong Minh, Lilian Blanc
Publikováno v: Land surface remote sensing: environment and risks
Land surface remote sensing: environment and risks, ISTE-Elsevier, pp.27-53, 2016, 978-1-78548-105-5. ⟨10.1016/B978-1-78548-105-5.50002-5⟩
Land Surface Remote Sensing: Environment and Risks
International audience; Forests occupy one-third of the planet's landmass, covering nearly 4 billion hectares. The largest forested areas are located in the boreal and equatorial zones. This current distribution is not fixed, but has continuously cha
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5592cc18d24a855e0a40cdf358ea083c
https://doi.org/10.1016/b978-1-78548-105-5.50002-5
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