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See detailProgramme d'Appui au Développement Durable du Secteur Agricole (PADDSA), Appui Complémentaire Centralisé, Assistance Technique, Rapport de mission de formation et d'appui technique « B22 : Méthodes de prévisions des rendements des cultures », Bénin.
Denis, Antoine ULiege

Report (2021)

Rapport de mission de la formation et de l'appui technique « B22 : Méthodes de prévisions des rendements des cultures » à destination du Ministère de l'Agriculture, de l'Élevage et de la Pêche (MAEP) du ... [more ▼]

Rapport de mission de la formation et de l'appui technique « B22 : Méthodes de prévisions des rendements des cultures » à destination du Ministère de l'Agriculture, de l'Élevage et de la Pêche (MAEP) du Bénin. Lieu d'intervention : Cotonou, Grand-Popo et Porto-Novo, Bénin. Période d'exécution de la mission : 16 au 29 septembre 2021. [less ▲]

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See detailRevue des modes de représentation de l'information spatiale
Denis, Antoine ULiege

Learning material (2021)

Cette revue, en format diaporama, a pour objet de présenter de manière relativement exhaustive et synthétique les différents modes de représentation de l’information spatiale. Bien qu’elle se concentre ... [more ▼]

Cette revue, en format diaporama, a pour objet de présenter de manière relativement exhaustive et synthétique les différents modes de représentation de l’information spatiale. Bien qu’elle se concentre essentiellement sur l’aspect formel des représentations, leur aspect fonctionnel est aussi parfois considéré. Cette revue présente majoritairement différents types de « cartes » (au sens large) mais d’autres types de représentations sont également présentés… Quelques catégories sont utilisées pour structurer la présentation. Notez cependant qu’une représentation donnée peut souvent être rattachée à plusieurs catégories. Un type de représentation donné est souvent illustré par quelques exemples. Ce document est en évolution permanente. Vos commentaires et suggestions sont les bienvenus. Contact et citation: voir la dernière slide. Cette revue peut également être vue comme une invitation à un voyage spatio-temporel à bord du vaisseau des Arts de la représentation de l’information spatiale. Elle vous fera voyager … de l’ivresse des profondeurs océaniques aux vertiges himalayens, … de Copenhague à New-York en passant par l’Afrique, l’Asie,… … des gravures rupestres préhistoriques et leur représentation archéo-iconographique aux plus récentes techniques de réalité virtuelle, en passant par le Moyen Âge, la Renaissance italienne,… … de la défense de mammouth au numérique live en passant par la carte à bâtonnets de bois, les cartes de sable et les peintures par points aborigènes, la feuille de papier, les plans reliefs ou encore les nuages de points, … de l’absence de dimension à la 5ème dimension en passant par la 2.5ème dimension, … du microscopique à la découverte des galaxies et exoplanètes de notre Univers, … de la représentation hyper réaliste à la représentation abstraite, mentale ou poétique, … de la représentation purement scientifique à la représentation humoristique, ludique, politique, ou encore artistique, … Bon voyage donc ! [less ▲]

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See detailProgramme d'Appui au Développement Durable du Secteur Agricole (PADDSA), Appui Complémentaire Centralisé, Assistance Technique, Rapport de mission de formation et d'appui technique « B19 : Système d’Information Géographique : Technique d’acquisition et de traitement des données », Bénin.
Denis, Antoine ULiege

Report (2021)

Rapport de mission de la formation et de l'appui technique « B19 : Système d’Information Géographique : Technique d’acquisition et de traitement des données » à destination du Ministère de l'Agriculture ... [more ▼]

Rapport de mission de la formation et de l'appui technique « B19 : Système d’Information Géographique : Technique d’acquisition et de traitement des données » à destination du Ministère de l'Agriculture, de l'Élevage et de la Pêche (MAEP) du Bénin. Lieu d'intervention : Cotonou et Grand-Popo, Bénin. Période d'exécution de la mission : 17 au 31 mars 2021. [less ▲]

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See detailInitiation à QGIS avec QGIS 3.10.0 - Travaux pratiques sur les Systèmes d'Information Géographique - SIG
Denis, Antoine ULiege

Learning material (2021)

This manual (in French) is an introduction to QGIS with data needed provided. It is freely available here: http://hdl.handle.net/2268/190559 Objectives of this manual are: 1. To give you a global view and ... [more ▼]

This manual (in French) is an introduction to QGIS with data needed provided. It is freely available here: http://hdl.handle.net/2268/190559 Objectives of this manual are: 1. To give you a global view and understanding of what a GIS is and what it is useful for 2. To introduce you to manipulation and processing of geographic data with the free QGIS software The vast majority of this manual is composed of exercises contextualized on the thematic of developing countries, environment management, and natural risk management. [less ▲]

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See detailTravaux Pratiques de Télédétection Spatiale II - Avec données et logiciels libres
Denis, Antoine ULiege

Learning material (2021)

Ce manuel présente une série d’exercices de télédétection spatiale, prêts à l’emploi, avec données et logiciels libres. Les exercices vont du « niveau découverte » à un « niveau plus avancé » tout en ... [more ▼]

Ce manuel présente une série d’exercices de télédétection spatiale, prêts à l’emploi, avec données et logiciels libres. Les exercices vont du « niveau découverte » à un « niveau plus avancé » tout en restant très abordables pour des étudiants de Master 1 et 2. Les exercices peuvent se réaliser en autonomie grâce aux instructions méthodologiques détaillées et aux nombreuses illustrations. En plus des exercices en tant que tels de nombreuses ressources complémentaires sont proposées (sites web, applications). [less ▲]

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See detailMultispectral Remote Sensing as a Tool to Support Organic Crop Certification: Assessment of the Discrimination Level between Organic and Conventional Maize
Denis, Antoine ULiege; Desclee, Baudouin; Migdall, Silke et al

in Remote Sensing (2020), 13 (1)(Janvier 2021),

The annual certification of organic agriculture products includes an in situ inspection of the fields declared organic. This inspection is more difficult, time-consuming, and costly for large farms or in ... [more ▼]

The annual certification of organic agriculture products includes an in situ inspection of the fields declared organic. This inspection is more difficult, time-consuming, and costly for large farms or in production regions located in remote areas. The global objective of this research is to assess how spatial remote sensing may support the organic crop certification process by developing a method that would enable certification bodies to target for priority in situ control crop fields declared as organic but that would show on satellite imagery an appearance closer to conventional fields. For this purpose, the ability of multispectral satellite images to discriminate between organic and conventional maize fields was assessed through the use of a set of four satellite images of different spatial and spectral resolutions acquired at different crop growth stages over a large number of maize fields (32) that are part of an operational farm in Germany. In support of this main objective, a set of in situ measurements (leaf hyperspectral reflectance, chlorophyll, and nitrogen content and dry matter percentage, crop canopy cover, height, wet biomass and dry matter percentage, soil chemical composition) was conducted to characterize the nature of the biochemical and biophysical differences between organic and conventional maize fields. The results of this research showed that highly significant biochemical and biophysical differences between a large number of organic and conventional maize fields may exist at identified crop growth stages and that these differences may be sufficiently pronounced to enable the complete discrimination between crop management modes using satellite images issued from quite common multispectral satellite sensors through the use of spectral or spatial heterogeneity indices. These results are very encouraging and suggest, for the first time, that satellite images could effectively support the organic maize certification process. [less ▲]

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See detailUsing UAV Collected RGB and Multispectral Images to Evaluate Winter Wheat Performance Across a Site Characterized by Century-Old Biochar Patches in Belgium
Heidarian Dehkordi, Ramin ULiege; Burgeon, Victor ULiege; Fouche, Julien et al

in Remote sensing (2020), 12

Remote sensing data play a crucial role in monitoring crop dynamics in the context of precision agriculture by characterizing the spatial and temporal variability of crop traits. At present there is ... [more ▼]

Remote sensing data play a crucial role in monitoring crop dynamics in the context of precision agriculture by characterizing the spatial and temporal variability of crop traits. At present there is special interest in assessing the long-term impacts of biochar in agro-ecosystems. Despite the growing body of literature on monitoring the potential biochar effects on harvested crop yield and aboveground productivity, studies focusing on the detailed crop performance as a consequence of long-term biochar enrichment are still lacking. The primary objective of this research was to evaluate crop performance based on high-resolution unmanned aerial vehicle (UAV) imagery considering both crop growth and health through RGB and multispectral analysis, respectively. More specifically, this approach allowed monitoring of century-old biochar impacts on winter wheat crop performance. Seven Red-Green-Blue (RGB) and six multispectral flights were executed over 11 century-old biochar patches of a cultivated field. UAV-based RGB imagery exhibited a significant positive impact of century-old biochar on the evolution of winter wheat canopy cover (p-value = 0.00007). Multispectral optimized soil adjusted vegetation index indicated a better crop development over the century-old biochar plots at the beginning of the season (p-values < 0.01), while there was no impact towards the end of the season. Plant height, derived from the RGB imagery, was slightly higher for century-old biochar plots. Crop health maps were computed based on principal component analysis and k-means clustering. To our knowledge, this is the first attempt to quantify century-old biochar effects on crop performance during the entire growing period using remotely sensed data. Ground-based measurements illustrated a significant positive impact of century-old biochar on crop growth stages (p-value of 0.01265), whereas the harvested crop yield was not affected. Multispectral simplified canopy chlorophyll content index and normalized difference red edge index were found to be good linear estimators of harvested crop yield (p-value(Kendall) of 0.001 and 0.0008, respectively). The present research highlights that other factors (e.g., inherent pedological variations) are of higher importance than the presence of century-old biochar in determining crop health and yield variability. [less ▲]

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See detailRemotely-sensed assessment of the impact of century-old biochar on chicory crop growth using high-resolution UAV-based imagery
Heidarian Dehkordi, Ramin ULiege; Denis, Antoine ULiege; Fouche, Julien et al

in International Journal of Applied Earth Observation and Geoinformation (2020), 91(September 2020),

In recent years, special attention has been given to the long-term effects of biochar on the performance of agro-ecosystems owing to its potential for improving soil fertility, harvested crop yields, and ... [more ▼]

In recent years, special attention has been given to the long-term effects of biochar on the performance of agro-ecosystems owing to its potential for improving soil fertility, harvested crop yields, and aboveground biomassproduction. The present experiment was set up to identify the effects on soil-plant systems of biochar producedmore than 150 years ago in charcoal mound kiln sites in Wallonia (Belgium). Although the impacts of biochar onsoil-plant systems are being increasingly discussed, a detailed monitoring of the crop dynamics throughout thegrowing season has not yet been well addressed. At present there is considerable interest in applying remotesensing for crop growth monitoring in order to improve sustainable agricultural practices. However, studiesusing high-resolution remote sensing data to focus on century-old biochar effects are not yet available. For thefirst time, the impacts of century-old biochar on crop growth were investigated at canopy level using high-resolution airborne remote sensing data over a cultivatedfield. High-resolution RGB, multispectral and thermalsensors mounted on unmanned aerial vehicles (UAVs) were used to generate high frequency remote sensinginformation on the crop dynamics. UAVs wereflown over 11 century-old charcoal-enriched soil patches and theadjacent reference soils of a chicoryfield. We retrieved crucial crop parameters such as canopy cover, vegetationindices and crop water stress from the UAV imageries. In addition, our study also providesin-situmeasurementsof soil properties and crop traits. Both UAV-based RGB imagery andin-situmeasurements demonstrated that thepresence of century-old biochar significantly improved chicory canopy cover, with greater leaf lengths in biocharpatches. Weighted difference vegetation index imagery showed a negative influence of biochar presence on plantgreenness at the end of the growing season. Chicory crop stress was significantly increased by biochar presence,whereas the harvested crop yield was not affected. The main significant variations observed between referenceand century-old biochar patches usingin situmeasurements of crop traits concerned leaf length. Hence, theoutput from the present study will be of great interest to help developing climate-smart agriculture practicesallowing for adaptation and mitigation to climate. [less ▲]

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See detailTravaux Pratiques de Télédétection Spatiale I
Denis, Antoine ULiege

Learning material (2020)

Ce manuel était (avant 2020) le support principal des travaux pratiques de télédétection spatiale du cours de télédétection spatiale dispensé sur le Campus d’Arlon Environnement, Université de Liège ... [more ▼]

Ce manuel était (avant 2020) le support principal des travaux pratiques de télédétection spatiale du cours de télédétection spatiale dispensé sur le Campus d’Arlon Environnement, Université de Liège, Belgique. Ce manuel est téléchargeable gratuitement à l’adresse web : http://orbi.ulg.ac.be/handle/2268/143553. Les données associées à ces travaux pratiques sont disponibles ici https://dox.uliege.be/index.php/s/boXXpcD8FSkPOOn (confer section 4.1 page 22 du manuel). Le logiciel principalement utilisé dans le cadre de ces TP est un logiciel payant (ENVI, de la firme L3HARRIS GEOSPATIAL). Les autres logiciels/applications utilisés sont gratuits et disponibles sur le web: TIMESAT, ViewSpecPro et Google Earth notamment. Les exercices concernent, par ordre d'importance: la classification supervisée d'une image haute résolution (observation 2D et 3D, identification des zones d'entrainement et caractérisation statistique des échantillons, classification, validation), l'analyse diachronique de 2 images NDVI basse résolution (analyse de changement), l'analyse temporelle de séries d'images basses résolution (profil NDVI) et la caractérisation des saisons de végétation, la création de néo-canaux (NDVI, Tasseled cap, ACP,…), la correction géométrique d’une image (géoréférencement), l'analyse de données hyperspectrales (image et donnée ponctuelle), la découverte de Google Earth Pro, la recherche d'images satellites sur le web, la présentation de quelques exemples d’applications de la télédétection spatiale pour la gestion des risques et des catastrophes,… [less ▲]

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See detailWeather-Based Predictive Modeling of Wheat Stripe Rust Infection in Morocco
El Jarroudi, Moussa ULiege; Lahlali, Rachid; Kouadio, Louis et al

in Agronomy (2020), 10(2), 1-18

Predicting infections by Puccinia striiformis f. sp. tritici, with su cient lead times, helps determine whether fungicide sprays should be applied in order to prevent the risk of wheat stripe rust (WSR ... [more ▼]

Predicting infections by Puccinia striiformis f. sp. tritici, with su cient lead times, helps determine whether fungicide sprays should be applied in order to prevent the risk of wheat stripe rust (WSR) epidemics that might otherwise lead to yield loss. Despite the increasing threat of WSR to wheat production in Morocco, a model for predicting WSR infection events has yet to be developed. In this study, data collected during two consecutive cropping seasons in 2018–2019 in bread and durum wheat fields at nine representative sites (98 and 99 fields in 2018 and 2019, respectively) were used to develop a weather-based model for predicting infections by P. striiformis. Varying levels of WSR incidence and severity were observed according to the site, year, and wheat species. A combined e ect of relative humidity > 90%, rainfall 0.1 mm, and temperature ranging from 8 to 16 C for a minimum of 4 continuous hours (with the week having these conditions for 5% to 10% of the time) during March–May were optimum to the development of WSR epidemics. Using the weather-based model, WSR infections were satisfactorily predicted, with probabilities of detection 0.92, critical success index ranging from 0.68 to 0.87, and false alarm ratio ranging from 0.10 to 0.32. Our findings could serve as a basis for developing a decision support tool for guiding on-farm WSR disease management, which could help ensure a sustainable and environmentally friendly wheat production in Morocco. [less ▲]

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See detailEmploying Weather-Based Disease and Machine Learning Techniques for Optimal Control of Septoria Leaf Blotch and Stripe Rust in Wheat
El Jarroudi, Moussa ULiege; Lahlali, Rachid; El Jarroudi, Haifa et al

in Advanced Intelligent Systems for Sustainable Development (2020)

Septoria tritici blotch (STB) is among the most important crop diseases causing continuous threats to wheat production worldwide. STB epidemics are the outcome of interactions between susceptible host ... [more ▼]

Septoria tritici blotch (STB) is among the most important crop diseases causing continuous threats to wheat production worldwide. STB epidemics are the outcome of interactions between susceptible host cultivars, favorable environmental conditions, and sufficient quantities of pathogen inoculum. Thus, to determine whether fungicide sprays should be applied to prevent the risk of epidemics that might otherwise lead to yield loss, weatherbased systems as stand-alone or combined with other disease or agronomic variables have been implemented in decision-support systems (DSS). Given the economic importance of wheat in Morocco and increasing concerns caused by fungal plant pathogens in wheat-growing regions, DSS integrating a disease risk model would help to limit potentially harmful side effects of fungicide applications while ensuring economic benefits. Here we describe the use of an artificial intelligence algorithm, i.e. the artificial neural network, within a weatherbased modelling approach to predict the progress of STB in wheat in Luxembourg. The reproducibility of area-specific modelling approaches is often a hurdle for their application in operational disease warning system at a regional scale. Hence, we explore the potential of coupling artificial intelligence algorithms with weather-based model for predicting in-season progress of a major economically important fungal disease – wheat stripe rust – in selected wheatproducing regions in Morocco. [less ▲]

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See detailQGIS Universe - Illustration presenting the global organisation of QGIS 3.10 main components and functionalities
Denis, Antoine ULiege

Learning material (2019)

Illustration presenting the global organisation of QGIS 3.10 main components and functionalities. ! Diagram not validated !

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See detailL'univers QGIS - Illustration présentant l'organisation globale des principaux constituants et fonctionnalités de QGIS 3.10
Denis, Antoine ULiege

Learning material (2019)

Illustration présentant l'organisation globale des principaux constituants et fonctionnalités de QGIS 3.10. Schéma non validé.

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See detailAdapted transcription of the tutorial video “ESA Echoes in Space - Hazard: Flood mapping with Sentinel-1 (ESA EO College), by Chris Stewart, 5 November 2017” Augmented with additional illustrations and comments.
Denis, Antoine ULiege

Learning material (2019)

This document is an adapted transcription of the tutorial video (YouTube channel “EO College”) entitled « ESA Echoes in Space - Hazard: Flood mapping with Sentinel-1 (ESA EO College)” from 5 November 2017 ... [more ▼]

This document is an adapted transcription of the tutorial video (YouTube channel “EO College”) entitled « ESA Echoes in Space - Hazard: Flood mapping with Sentinel-1 (ESA EO College)” from 5 November 2017 where Dr. Chris Stewart explains how to derive a flood map from Sentinel-1 images, using SNAP. The transcription is augmented with additional illustrations and comments. The video tutorial is available here: https://www.youtube.com/watch?v=derOXkPCH80 [less ▲]

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See detailManuel de formation SIG sous QGIS 3.8.1 à destination de l’Association Intercommunale des Eaux du Condroz (AIEC)
Denis, Antoine ULiege

Learning material (2019)

L’Association Intercommunale des Eaux du Condroz (AIEC - http://www.eauxducondroz.be/) a en charge la production et la distribution d'eau potable dans le Condroz (Belgique) dans les 5 communes de Ciney ... [more ▼]

L’Association Intercommunale des Eaux du Condroz (AIEC - http://www.eauxducondroz.be/) a en charge la production et la distribution d'eau potable dans le Condroz (Belgique) dans les 5 communes de Ciney, Hamois, Havelange, Hotton et Somme-Leuze. L’AIEC est notamment amenée à cartographier les canalisations d’eau et divers éléments du réseau d’eau et à le positionner en prenant comme référence le Projet Informatique de Cartographie Continue (PICC) de la Wallonie. Ce manuel a pour vocation de guider les techniciens de l’AIEC dans leur prise en main du logiciel de cartographie libre QGIS pour mener à bien leur mission de cartographie. Les concepts et manipulations de données utiles aux techniciens de l’AIEC sont listés dans la table des matières de ce manuel. [less ▲]

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See detailLes drones Un nouvel eldorado pour les scientifiques et les entrepreneurs?
Heidarian Dehkordi, Ramin ULiege; Denis, Antoine ULiege

Scientific conference (2018, December 13)

Detailed reference viewed: 110 (7 ULiège)
See detailCan satellites help organic crops certification?
Denis, Antoine ULiege

Doctoral thesis (2018)

Organic agriculture products are in increasing demand globally principally because, compared to conventional products, organic food is seen to be healthier and organic farming is more respectful of the ... [more ▼]

Organic agriculture products are in increasing demand globally principally because, compared to conventional products, organic food is seen to be healthier and organic farming is more respectful of the environment by avoiding the use of synthetic chemical fertilizers and pesticides, and it excludes genetically modified organisms. Organic labelled farming products have to comply with established international standards and rules, and, in particular, organic producers have to be certified annually by organic certification bodies. One of the challenges of this certification process is the efficient targeting of the relatively small percentage of fields declared to be organic that must effectively be subject to an in situ inspection. The main objective of the present research, the first of its kind, is to assess how spatial remote sensing may support the organic crop certification process. This research is based on the hypothesis that the differences in treatments between organically and conventionally managed crop fields, primarily the differences in fertilization and crop protection, would result in biochemical and biophysical differences between the fields. Among these differences, some are supposed to be observable by spatial remote sensing derived indices. Consequently, these indices could be used at the beginning of the field certification process to target for priority in situ control fields declared as organic but that would show on satellite imagery an appearance that is closer to conventional fields. Such a technique would provide organic certification bodies with a supplementary and independent means of control which might be particularly useful for large farms and in production regions located in remote areas where the certification process might be more difficult and costly. In order to address this objective, 3 case studies were elaborated. The first case study focuses on wheat and maize in central-eastern Germany and consists of an exploratory approach combining a wide range of both in situ measurements and satellite sensors of various spatial and spectral resolutions. The second case study has a main purpose to assess the robustness of the method developed in the first case study over years and regions. It consisted in repeating the method on the German study site for the following cropping season for wheat and maize, and, for wheat exclusively, on a region located in central France. Near operational conditions were simulated by a limited use of satellite images. The third case study focuses on organic cotton in Burkina Faso and has a primary purpose of assessing the method’s efficiency in the context of a developing country where rural areas are sometimes more difficult to reach, making the use of remote sensing particularly relevant. Results show that the efficiency of the proposed method varies greatly depending on the situation. Indeed, in some situations, it appeared that biochemical and biophysical differences between organically and conventionally managed fields may exist at given crop growth stages and are sufficiently pronounced to enable a complete discrimination between organic and conventional management modes through various simple indices derived from multispectral satellite images. In other situations however, the discrimination appeared to be far more difficult and required the complementarity of different types of indices integrated in multivariate linear models. Given these mixed results and the limited representativeness of the 3 case studies compared to the diverse contexts where the developed method is supposed to be used in operationally, it appeared that there is simultaneously both room for optimism but also considerable uncertainty with regard to whether spatial remote sensing could effectively contribute to ensuring that crop fields declared as organic are truly organic. [less ▲]

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