Centre de documentation
scientifique

Soil erosion / António Vieira (2021)  

Public Titre : Soil erosion : current challenges and future perspectives in a changing world Type de document : Monographie Auteurs : António Vieira, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 152 p. ISBN/ISSN/EAN : 978-1-83962-300-4 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] acquisition d'images [Termes IGN] Algérie [Termes IGN] Bénin [Termes IGN] changement d'occupation du sol [Termes IGN] couvert végétal [Termes IGN] érosion côtière [Termes IGN] état du sol [Termes IGN] Ethiopie [Termes IGN] image captée par drone [Termes IGN] image RVB [Termes IGN] indice de végétation [Termes IGN] Indonésie [Termes IGN] modèle RUSLE [Termes IGN] montagne [Termes IGN] occupation du sol [Termes IGN] orthoimage [Termes IGN] photogrammétrie aérienne [Termes IGN] Pix4D [Termes IGN] protection des sols [Termes IGN] risque naturel [Termes IGN] Rwanda [Termes IGN] système d'information géographique Résumé : (Editeur) Soil erosion is a major environmental issue with a worldwide impact and direct and indirect effects on soil productivity and consequently on human survival. Although a natural process, soil erosion has increased significantly due to human intervention, especially in the last centuries, through diverse activities such as intensive agriculture, overgrazing, urban sprawl, deforestation, and industrial and mining activities. Presently, soil erosion and degradation promoted by human action have reached extreme levels, necessitating urgent measures to promote soil conservation and rehabilitation. This book presents perspectives on soil erosion occurring in different parts of the world as well as some successful initiatives and strategies for soil conservation and rehabilitation. Note de contenu : 1. RGB Spectral Indices for the Analysis of Soil Protection by Vegetation Cover against Erosive Processes / Henry Antonio Pacheco Gil and Argenis de Jesús Montilla Pacheco 2. Spatial Estimation of Soil Erosion Risk Using RUSLE/GIS Techniques and Practices Conservation Suggested for Reducing Soil Erosion in Wadi Mina Catchment (Northwest, Algeria) / Ahmed Benchettouh, Sihem Jebari and Lakhdar Kouri 3. Remote Sensing and GIS-Based Soil Loss Estimation Using RUSLE in Bahir Dar Zuria District, Ethiopia / Nurhussen Ahmed Mohammed and Desale Kidane Asmamaw 4. Determination of the Most Priority Conservation Areas Based on Population Pressure and Erosion Hazard Levels in Lesti Sub-Watershed, Malang Regency, Indonesia / Andi Setyo Pambudi 5. The Impacts of Soil Degradation Effects on Phytodiversity and Vegetation Structure on Atacora Mountain Chain in Benin (West Africa) / Farris Okou, Achille Assogbadjo and Brice Augustin Sinsin 6. Erosion Control Success Stories and Challenges in the Context of Sustainable Landscape Management, Rwanda Experience / Jules Rutebuka 7. Biochar: A Sustainable Approach for Improving Soil Health and Environment / Shreya Das, Samanyita Mohanty, Gayatri Sahu, Mausami Rana and Kiran Pilli Numéro de notice : 26759 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.91595 Date de publication en ligne : 12/05/2021 En ligne : https://doi.org/10.5772/intechopen.91595 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99775

A deep learning approach to DTM extraction from imagery using rule-based training labels / Caroline M. Gevaert in ISPRS Journal of photogrammetry and remote sensing, vol 142 (August 2018)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 142 (August 2018) . - pp 106 - 123 Titre : A deep learning approach to DTM extraction from imagery using rule-based training labels Type de document : Article/Communication Auteurs : Caroline M. Gevaert, Auteur ; Claudio Persello, Auteur ; M. George Vosselman, Auteur Année de publication : 2018 Article en page(s) : pp 106 - 123 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] apprentissage profond [Termes IGN] base de règles [Termes IGN] benchmark spatial [Termes IGN] Dar-es-Salam (Tanzanie) [Termes IGN] drone [Termes IGN] échantillonnage d'image [Termes IGN] extraction automatique [Termes IGN] Kigali (Rwanda) [Termes IGN] Lombardie [Termes IGN] modèle numérique de terrain [Termes IGN] photogrammétrie aérienne [Termes IGN] réseau neuronal convolutif Résumé : (Auteur) Existing algorithms for Digital Terrain Model (DTM) extraction still face difficulties due to data outliers and geometric ambiguities in the scene such as contiguous off-ground areas or sloped environments. We postulate that in such challenging cases, the radiometric information contained in aerial imagery may be leveraged to distinguish between ground and off-ground objects. We propose a method for DTM extraction from imagery which first applies morphological filters to the Digital Surface Model to obtain candidate ground and off-ground training samples. These samples are used to train a Fully Convolutional Network (FCN) in the second step, which can then be used to identify ground samples for the entire dataset. The proposed method harnesses the power of state-of-the-art deep learning methods, while showing how they can be adapted to the application of DTM extraction by (i) automatically selecting and labelling dataset-specific samples which can be used to train the network, and (ii) adapting the network architecture to consider a larger surface area without unnecessarily increasing the computational burden. The method is successfully tested on four datasets, indicating that the automatic labelling strategy can achieve an accuracy which is comparable to the use of manually labelled training samples. Furthermore, we demonstrate that the proposed method outperforms two reference DTM extraction algorithms in challenging areas. Numéro de notice : A2018-298 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2018.06.001 Date de publication en ligne : 15/06/2018 En ligne : https://doi.org/10.1016/j.isprsjprs.2018.06.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90410 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2018081	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2018083	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2018082	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Using UAVs for map creation and updating: A case study in Rwanda / Mila Koeva in Survey review, vol 50 n° 361 (July 2018)  

Public [article]  inSurvey review > vol 50 n° 361 (July 2018) . - pp 312 - 325 Titre : Using UAVs for map creation and updating: A case study in Rwanda Type de document : Article/Communication Auteurs : Mila Koeva, Auteur ; M. Muneza, Auteur ; Caroline M. Gevaert, Auteur ; Markus Gerke, Auteur ; Francesco Nex, Auteur Année de publication : 2018 Article en page(s) : pp 312 - 325 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] image captée par drone [Termes IGN] orthophotoplan numérique [Termes IGN] précision centimétrique [Termes IGN] Rwanda [Termes IGN] scène urbaine [Termes IGN] zone urbaine Résumé : (Auteur) Aerial or satellite images are conventionally used for geospatial data collection. However, unmanned aerial vehicles (UAVs) are emerging as a suitable technology for providing very high spatial and temporal resolution data at a low cost. This paper aims to show the potential of using UAVs for map creation and updating. The whole workflow is introduced in the paper, using a case study in Rwanda, where 954 images were collected with a DJI Phantom 2 Vision Plus quadcopter. An orthophoto covering 0.095 km2 with a spatial resolution of 3.3 cm was produced and used to extract features with a sub-decimetre accuracy. Quantitative and qualitative control of the UAV data products were performed, indicating that the obtained accuracies comply to international standards. Moreover, possible problems and further perspectives were also discussed. The results demonstrate that UAVs provide promising opportunities to create high-resolution and highly accurate orthophotos, thus facilitating map creation and updating. Numéro de notice : A2018-442 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2016.1268756 Date de publication en ligne : 30/12/2016 En ligne : https://doi.org/10.1080/00396265.2016.1268756 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91014 [article]

Spatial initiatives for sustainable land management : enhancing Rwanan land governance / Christer Kjörneberg in GIM international, vol 30 n° 4 (April 2016)

Public [article]  inGIM international > vol 30 n° 4 (April 2016) . - pp 16 - 19 Titre : Spatial initiatives for sustainable land management : enhancing Rwanan land governance Type de document : Article/Communication Auteurs : Christer Kjörneberg, Auteur Année de publication : 2016 Article en page(s) : pp 16 - 19 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique [Termes IGN] Rwanda [Termes IGN] système d'information foncière Résumé : (éditeur) Access to land and other natural resources is an important basis for the livelihood of underprivileged people around the globe. Access must be stable and secure if it is to provide an opportunity for economic growth and incentives to invest. The use of land must appropriately planned to ensure sustainable development and to pay respect to finite natural resources. Land administration agencies are charged with implementing land policies, such as planning for sustainable development, providing equitable land distribution and acting in accordance with the legal framework for land governance. Transparent and efficient land administration is a condition for economic development. Numéro de notice : A2016-213 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80678 [article]

Rwanda brings 10 million parcels under registered title / C. Lemmen in GIM international, vol 26 n° 6 (June 2012)

Public [article]  inGIM international > vol 26 n° 6 (June 2012) . - 4 p. ; pp 14 - 19 Titre : Rwanda brings 10 million parcels under registered title Type de document : Article/Communication Auteurs : C. Lemmen, Auteur ; E. Nkurunziza, Auteur Année de publication : 2012 Article en page(s) : 4 p. ; pp 14 - 19 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cadastre étranger [Termes IGN] acquisition de données [Termes IGN] cadastre étranger [Termes IGN] données localisées [Termes IGN] parcelle cadastrale [Termes IGN] plan foncier [Termes IGN] Rwanda Résumé : (Auteur) After a genocide that killed close to a million people, the most densely populated country in Africa decided to bring the whole nation under registered title in order to provide economic security, and hence alleviate possible unrest, by securing tenure. Dr Emmanuel Nkurunziza of the Rwanda Natural Resources Authority (RNRA) is leading the process. He explains how this major project is being implemented successfully and on schedule. Numéro de notice : A2012-251 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31697 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
061-2012061	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Environmental sensitivity and suitability: country-level planning planning for Rwanda / P. Dagar in GIM international, vol 24 n° 4 (April 2010)

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L'activité minière au Rwanda / L. Uwizeyimana (1988)

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Biologie et exploitation des poissons du lac Ihema (bassin Akagera, Rwanda) / P.D. Plisnier (1988)

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Recherches sur les hautes terres d'Afrique centrale (Rwanda, Burundi, Kivu), les milieux tropicaux d'altitude / Centre d'études de géographie tropicale (1981)

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La républiques rwandaise / J. Vanderlinden (1970)

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Nouvelle géographie universelle / Elisée Reclus (1885)

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