Showing 141 - 160 results of 181 for search '"Kisangani"', query time: 0.20s Refine Results
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    Suivi de l’anthropisation du paysage dans la région forestière de Babagulu, République Démocratique du Congo by Joël Masimo Kabuanga, Blaise Adipalina Guguya, Elvis Ngenda Okito, Nicolas Maestripieri, Mehdi Saqalli, Vivien Rossi, Léon Iyongo Waya Mongo

    Published 2020-10-01
    “…In the Democratic Republic of Congo, the forest region of Babagulu is under anthropogenic pressure, notably due to its proximity to the city of Kisangani. These anthropic pressures remain little documented and their impacts on this forest landscape remain poorly understood. …”
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    Tropical African diatoms from the Eunotia asterionelloides (Bacillariophyta) species complex, with descriptions of new species by Jonathan C. Taylor, Christine Cocquyt, Gina Walsh

    Published 2024-02-01
    “…Material and methods – Samples were collected in fishponds in the vicinity of Kisangani, D.R. Congo, from herbarium material collected from the Bonkele River, D.R. …”
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    Variations in dissolved greenhouse gases (CO<sub>2</sub>, CH<sub>4</sub>, N<sub>2</sub>O) in the Congo River network overwhelmingly driven by fluvial-wetland connectivity by A. V. Borges, F. Darchambeau, F. Darchambeau, T. Lambert, T. Lambert, C. Morana, G. H. Allen, E. Tambwe, A. Toengaho Sembaito, T. Mambo, J. Nlandu Wabakhangazi, J.-P. Descy, C. R. Teodoru, C. R. Teodoru, S. Bouillon

    Published 2019-10-01
    “…Two transects of 1650&thinsp;km were carried out from the city of Kisangani to the city of Kinshasa, along the longest possible navigable section of the river and corresponding to 41&thinsp;% of the total length of the main stem. …”
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  15. 155

    R Libraries for Remote Sensing Data Classification by K-Means Clustering and NDVI Computation in Congo River Basin, DRC by Polina Lemenkova, Olivier Debeir

    Published 2022-12-01
    “…The data include Landsat-8 OLI-TIRS covering the three regions along the Congo river, Bumba, Basoko and Kisangani, for the years 2013, 2015 and 2022. We also validate the performance of graphical data handling for cartographic visualization using R libraries for visualising changes in land cover types by k-means clustering and calculation of the NDVI for vegetation analysis.…”
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  16. 156

    Sediment Balance Estimation of the ‘Cuvette Centrale’ of the Congo River Basin Using the SWAT Hydrological Model by Pankyes Datok, Sabine Sauvage, Clément Fabre, Alain Laraque, Sylvain Ouillon, Guy Moukandi N’kaya, José-Miguel Sanchez-Perez

    Published 2021-05-01
    “…Sediment yield rates of 4.01, 5.91, 7.88 and 8.68 t km<sup>−2</sup> yr<sup>−1</sup> were estimated for the areas upstream of the Ubangi at Bangui, Sangha at Ouesso, Lualaba at Kisangani, and Kasai at Kuto-Moke, respectively—the first three of which supply the Cuvette Centrale. …”
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    Identification des indicateurs de dégradation de la forêt de tapia (Uapaca bojeri) par une analyse sylvicole by Rakotondrasoa, OL., Malaisse, F., Rajoelison, GL., Gaye, J., Razafimanantsoa, TM., Rabearisoa, MR., Ramamonjisoa, BS., Raminosoa, N., Verheggen, F., Poncelet, M., Haubruge, E., Bogaert, J.

    Published 2013-01-01
    “…Une étude des effets de lisière sur les sex-ratios de six espèces de rongeurs a été abordée dans la Réserve de Masako à 15 km de Kisangani en RDC. Une collection de 1789 individus capturés durant deux ans a permis d'analyser les sex-ratios dans la jachère, la forêt secondaire et la lisière jachère/forêt secondaire. …”
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