Zobrazeno 1 - 10 of 51 pro vyhledávání: '"Indice de végétation"'
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Akademický článek
Biomass estimation of rangelands in the Eastern Highlands by remote sensing indices
Autor: H. Mahyou
Publikováno v: African and Mediterranean Agricultural Journal - Al Awamia, Vol 0, Iss 128, Pp 17-35 (2022)
The rangelands of the High plateau of eastern Morocco constitute an important supplement to the feeding of sheep and goats. Estimating phytomass production from these rangelands during the growing season is useful for managers of pastoral areas. The
Externí odkaz: https://doaj.org/article/50723f7fcd564a54b4532f88ee8ee58d
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2
Simulation de la réflectance de la végétation et inversion des propriétés bio-optiques basées sur un modèle de transfert radiatif tridimensionnel
Autor: Zhen, Zhijun
Publikováno v: Environmental Engineering. Université Paul Sabatier-Toulouse III; Jilin University (Changchun, Chine), 2021. English. ⟨NNT : 2021TOU30255⟩
Remote sensing data are increasingly used, particularly through inversion methods, for vegetation monitoring due to its improved measurement accuracy and spatial/spectral/temporal resolution and the advances in remote sensing data interpretation meth
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2191::6872ad56933370443e3be36def92fda2
https://theses.hal.science/tel-03700022/document
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3
Caractérisation d'indicateurs de fertilité du sol en Nouvelle-Aquitaine, Roumanie et Bulgarie et réalisation d'enquêtes en vue de leur mise en oeuvre opérationnelle auprès d'agriculteurs
Autor: Gallot, Claire
Publikováno v: Sciences du Vivant [q-bio]. 2021
The seed company Mas Seeds, and more particularly its Romania-Bulgaria subsidiary, is working on a commercial differentiation offer through an agronomical approach by proposing a technical support with Agrotempo, the internal company’s DST. Today,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::8d7236a527628b5d50e2181278f9664e
https://dumas.ccsd.cnrs.fr/dumas-03463473
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4
Supervised classification methods for automatic damage detection caused by heavy rainfall using multitemporal high resolution optical imagery and auxiliary data
Autor: A. Cerbelaud, L. Roupioz, G. Blanchet, P. Breil, X. Briottet
Publikováno v: XXIV ISPRS Congress (2021 edition)
XXIV ISPRS Congress (2021 edition), Jul 2021, Nice, France. pp.693-700, ⟨10.5194/isprs-archives-XLIII-B3-2021-693-2021⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 693-700 (2021)
International audience; In the context of climate change and rising frequency of extreme hydro-meteorological events around the world, flood risk management and mapping of heavy rainfall-related damages represent an ongoing critical challenge. For de
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f53b5f2f325e6107733b69291592338
https://hal.archives-ouvertes.fr/hal-03278464
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6
Propriedades das Séries Temporais de NDVI e EVI da Cobertura Vegetal em Áreas de Solos RQo Associadas a Arenização
Autor: Laurindo Antonio Guasselli, François Laurent, François Messner, Letícia Celise Ballejo da Costa
Publikováno v: Anuário do Instituto de Geociências; Vol 44 (2021)
Anuário do Instituto de Geociências
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
Anuário do Instituto de Geociências, Universidade Federal do Rio de Janeiro, 2021, 44, ⟨10.11137/1982-3908_2021_44_36729⟩
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Os processos relacionados a arenização inicialmente conceituados para a região sudoeste do Rio Grande do Sul, também ocorrem em outras regiões do Brasil. Estudos demonstram que o ponto convergente entre essas áreas é o tipo de solo, os Neossol
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21749b7f1068f99e1c2ea4c635beca50
https://revistas.ufrj.br/index.php/aigeo/article/view/36729
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Impact du nombre de dates disponibles et de leur échantillonnage sur une méthodologie de reconstruction de séries temporelles pour étudier la phénologie des arbres urbains avec le satellite Venµs
Autor: Granero-Belinchon, Carlos, Adeline, Karine, Briottet, Xavier
Publikováno v: International Journal of Applied Earth Observation and Geoinformation
International Journal of Applied Earth Observation and Geoinformation, Elsevier, 2021, 95, pp.102257. ⟨10.1016/j.jag.2020.102257⟩
International audience; This article studies the influence of the number of satellite remote sensing acquisition dates and their sampling on the performance of a time series reconstruction method developed in Granero-Belinchon et al. 2020. This metho
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2592::5f9c98fe43086cea97d520eb5e6020f2
https://hal.archives-ouvertes.fr/hal-03035937/document
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8
Dynamique des unités de paysage dans l’espace dunaire du secteur de Mboro, littoral Nord du Sénégal : une réponse sédimentaire qui témoigne de l’efficacité des actions de reboisement
Autor: Mouhamadou Bassirou Seck, Amadou Abou Sy, Ousmane DIOUF, Boubou Aldiouma Sy
Publikováno v: Revue de Géographie du Laboratoire Leïdi
Revue de Géographie du Laboratoire Leïdi, Université Gaston Berger, Saint Louis (Sénégal), 2020, pp.301-318
HAL
International audience; La dégradation des conditions climatiques des années 1970 pose avec acuité la problématique de la réactivation des dunes littorales qui est la cause principale de l’ensevelissement des dépressions inter-dunaires appel
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::660788faf8efb4c6e6030dacb9c0b1cd
https://hal-univ-orleans.archives-ouvertes.fr/hal-02984758
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10
Estimating leaf chlorophyll content in sugar beet canopies using millimeter- to centimeter-scale reflectance imagery
Autor: Sylvain Jay, Gilles Rabatel, Alexis Comar, Dan Dutartre, Frédéric Baret, Nathalie Gorretta, Julien Morel, Fabienne Maupas, Ryad Bendoula
Publikováno v: Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2017, 198, pp.173-186. ⟨10.1016/j.rse2017.06.008⟩
Remote Sensing of Environment, Elsevier, 2017, 198 (198), pp.173-186. ⟨10.1016/j.rse2017.06.008⟩
Remote Sensing of Environment, 2017, 198 (198), pp.173-186. ⟨10.1016/j.rse2017.06.008⟩
[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]INSPIRE; Accurate estimation of leaf chlorophyll content (Cab) from remote sensing is of tremendous significance to monitor the physiological status of vegetation or to estimate primary production. Many
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a28f656d9faffcece5e1c26f3b026b19
https://doi.org/10.1016/j.rse.2017.06.008
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