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

Learning material (2016)

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 detailQGIS Universe - Illustration presenting the global organisation of QGIS 2.12 main components and functionalities
Denis, Antoine ULg

Learning material (2016)

Illustration presenting the global organisation of QGIS 2.12 main components and functionalities

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See detailL'univers QGIS - Illustration présentant l'organisation globale des principaux constituants et fonctionnalités de QGIS 2.12
Denis, Antoine ULg

Learning material (2016)

Illustration présentant l'organisation globale des principaux constituants et fonctionnalités de QGIS 2.12.

Detailed reference viewed: 37 (5 ULg)
See detailLandings profile of small-scale fisheries in Senegal: The case of the Kayar Marine Protected Area
Gueye, Ndiapaly; Diop, Mamadou; Denis, Antoine ULg et al

Poster (2015, October 08)

As marine fisheries in Senegal are in serious decline due to overexploitation, the management of sustainable fisheries requires effective tactics based on scientific data. In order to characterize the ... [more ▼]

As marine fisheries in Senegal are in serious decline due to overexploitation, the management of sustainable fisheries requires effective tactics based on scientific data. In order to characterize the current state of the artisanal fishery of the Kayar Marine Protected Area (MPA), a daily survey of fish landings was carried out between October 2013 and May 2015, and a database was created. Results showed that the landings are largely dominated by pelagic species in terms of weight. In total, 84 taxa were registered, including the species Sardinella aurita, which has been the most landed (30.5%), followed by Trichiurus lepturus (18.9%). These species are mainly captured by means of purse seine. The other types of fishing gear used in the area are the long line and the single line, which target particular species (e.g., Epinephelus aeneus). The temporal evolution of landings shows a period of abundance between May and June, while fishing effort is generally increasing. Regarding the spatial distribution, landings originate primarily from the MPA, where the landing per unit of effort was higher in the Angleterre area compared to other studied areas. These temporal and spatial variations seem to be related to the upwelling intensity which is highly seasonal, habitat features (i.e., presence of an underwater canyon in the MPA), the ecological behaviour of fish species and overexploitation. Our results confirm the need for detailed and extensive population monitoring across fish species. As a result of this study, we hope to provide the first essential information for the integrated management of fisheries in the Kayar MPA and its surrounding area. [less ▲]

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See detailMyEorganics ! Where it goes?
Denis, Antoine ULg

Conference given outside the academic context (2015)

Oral contribution to the "Mobile Applications for Agriculture" workshop. Description of the workshop: The myEOrganics project: Challenges and opportunities of space based services for certification July ... [more ▼]

Oral contribution to the "Mobile Applications for Agriculture" workshop. Description of the workshop: The myEOrganics project: Challenges and opportunities of space based services for certification July 2nd, 2015, 12:30 – 17:30h, Park Inn By Radisson Liege Airport Hotel - Rue de l'Aéroport 14, 4460 Grâce-Hollogne INFOPOLE Cluster TIC would like to kindly invite you in the name of the myEOrganics consortium to the “Mobile Applications for Agriculture” Workshop. This Workshop shall support the development and implementation of the myEOrganics service and analyses technical and policy requirements for this business case in general. myEOrganics supports the auditing procedure of organic agriculture by providing information on several indicators, like nitrogen level in plants, field shape, etc. to auditors on a mobile app. The necessary information is derived from processed Earth Observation (EO) satellite data and enables the auditor to determine whether a field is being cultivated according to standards of organic farming or not, thus making the distinction between non-organically (i.e. conventionally) and organically grown crop. With the help of geo-referencing, this data can be used in-situ on a mobile device capable of geo-positioning by certification personnel during their audits. This Stakeholder Workshop within the myEOrganics project is targeted towards experts from different areas of organic farming, certification, satellite data management and processing, as well as related topics. myEOrganics and its business case will be discussed in order to identify potentials and barriers of its implementation, further discussions will take place to analyze the general potential of alike business cases (mobile satellite data based services for agriculture). [less ▲]

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See detailMyEorganics ! Where it comes from?
Denis, Antoine ULg

Conference given outside the academic context (2015)

Oral contribution to the "Mobile Applications for Agriculture" workshop. Description of the workshop: The myEOrganics project: Challenges and opportunities of space based services for certification July ... [more ▼]

Oral contribution to the "Mobile Applications for Agriculture" workshop. Description of the workshop: The myEOrganics project: Challenges and opportunities of space based services for certification July 2nd, 2015, 12:30 – 17:30h, Park Inn By Radisson Liege Airport Hotel - Rue de l'Aéroport 14, 4460 Grâce-Hollogne INFOPOLE Cluster TIC would like to kindly invite you in the name of the myEOrganics consortium to the “Mobile Applications for Agriculture” Workshop. This Workshop shall support the development and implementation of the myEOrganics service and analyses technical and policy requirements for this business case in general. myEOrganics supports the auditing procedure of organic agriculture by providing information on several indicators, like nitrogen level in plants, field shape, etc. to auditors on a mobile app. The necessary information is derived from processed Earth Observation (EO) satellite data and enables the auditor to determine whether a field is being cultivated according to standards of organic farming or not, thus making the distinction between non-organically (i.e. conventionally) and organically grown crop. With the help of geo-referencing, this data can be used in-situ on a mobile device capable of geo-positioning by certification personnel during their audits. This Stakeholder Workshop within the myEOrganics project is targeted towards experts from different areas of organic farming, certification, satellite data management and processing, as well as related topics. myEOrganics and its business case will be discussed in order to identify potentials and barriers of its implementation, further discussions will take place to analyze the general potential of alike business cases (mobile satellite data based services for agriculture). [less ▲]

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See detailunité: Eau-Environnement-Développement (ULg Campus Arlon): la télédétection au service de l'agriculture
Wellens, Joost ULg; Lang, Marie ULg; Benabdelouahab, Tarik et al

Diverse speeche and writing (2015)

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See detailFAO Training in Crop Yield Forecasting - Remote Sensing - Method for Crop Yield Forecasting System (CYFS) from spatial Remote Sensing for Tajikistan. Integration of PROBA-V NDVI images. Belgium - Arlon Campus Environment - January 2015.
Denis, Antoine ULg

Learning material (2015)

This manual has been written for the “Training for strengthening crop yield forecasting capacity of the State Administration for Hydrometeorology (Hydromet) of Tajikistan” that occurred between 12nd ... [more ▼]

This manual has been written for the “Training for strengthening crop yield forecasting capacity of the State Administration for Hydrometeorology (Hydromet) of Tajikistan” that occurred between 12nd January and 7th February 2015 in Arlon – Belgium in the framework of the Food and Agriculture Organization (FAO) of the United Nations Project (GCP/TAJ/007/EC) “Support to Strengthening the National Food Security Information System in Tajikistan”. This manual is intended to cover the Remote Sensing part only of the general Crop Yield Forecasting System (CYFS). Despite written for the Tajik context this manual can serve as an example for all other countries. This manual follows on from the 2 manuals entitled: 1) “FAO Training in Crop Yield Forecasting ARMENIA - Erevan – May 2011 – Remote Sensing”. 2) “FAO Training in Crop Yield Forecasting. Improvement of the Crop Yield Forecasting System (CYFS) in Armenia: a new approach for satellite data integration. ARMENIA - Yerevan - January 2013.” This manual, in addition to adapt the method to Tajik context, integrates for the first time the NDVI images of PROBA-V satellite. These images continue the stopped SPOT-VEGETATION time’s series, from 2014 to undefined future. [less ▲]

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See detailRemote sensing enables high discrimination between organic and non-organic cotton for organic cotton certification in West Africa
Denis, Antoine ULg; Tychon, Bernard ULg

in Agronomy for Sustainable Development (2015)

One of the challenges of organic crop certification is the efficient targeting of the relatively small percentage of risk-sensitive fields that have to be controlled during the regulatory annual in situ ... [more ▼]

One of the challenges of organic crop certification is the efficient targeting of the relatively small percentage of risk-sensitive fields that have to be controlled during the regulatory annual in situ inspection. A previous study carried out on wheat and maize in Germany has shown that organic and non-organic crops can be efficiently distinguished by remote sensing. That study pointed to the possibility that these techniques could be used for helping organic crop certification bodies to better target risk-sensitive fields. This study is a first adaptation of that research on organic cotton in southwestern Burkina Faso, West Africa. This study assumed that organic and non-organic cotton, primarily because of their different approaches to fertilization and pest control, would result in bio-chemico-physical differences measurable by both in situ and remote sensing indicators. This study included 100 cotton fields, of which 50 were organic, 28 conventional, and 22 genetically modified. In situ indicators were derived from chlorophyll content, canopy cover, height, and spatial heterogeneity measurements. Remote sensing spectral and spatial heterogeneity indicators were derived from two SPOT 5 satellite images. Discriminant models were then computed. The results show statistically highly significant differences between organic and non-organic cotton fields for both in situ and satellite indicators, using univariate and multivariate linear models, with up to 86 % discrimination performance. This is the first time that the efficiency of using remote sensing to discriminate between organic and non-organic crops is evaluated in a developing country, particularly for cotton, with good discrimination being achieved. Pending further validation, it therefore seems that remote sensing could be used to enhance organic cotton certification in West Africa by enabling more efficient targeting of suspect fields and consequently could contribute to a better development of this sector. [less ▲]

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See detailSoil organic carbon assessment by field and airborne spectrometry in bare croplands: accounting for soil surface roughness
Denis, Antoine ULg; Stevens, Antoine; Van Wesemael, Bas et al

in Geoderma (2014), 226-227(August 2014), 94102

Visible, Near and Short Wave Infrared (VNSWIR) diffuse reflectance spectroscopy (350 nm to 2500 nm) has been proven to be an efficient tool to determine the Soil Organic Carbon (SOC) content. SOC ... [more ▼]

Visible, Near and Short Wave Infrared (VNSWIR) diffuse reflectance spectroscopy (350 nm to 2500 nm) has been proven to be an efficient tool to determine the Soil Organic Carbon (SOC) content. SOC assessment (SOCa) is usually done by using calibration samples and multivariate models. However one of the major constraints of this technique, when used in field conditions is the spatial variation in surface soil properties (soil water content, roughness, vegetation residue) which induces a spectral variability not directly related to SOC and hence reduces the SOCa accuracy. This study focuses on the impact of soil roughness on SOCa by outdoor VIS-NIR-SWIR spectroscopy and is based on the assumption that soil roughness effect can be approximated by its related shadowing effect. A new method for identifying and correcting the effect of soil shadow on reflectance spectra measured with an Analytical Spectral Devices (ASD) spectroradiometer and an Airborne Hyperspectral Sensor (AHS-160) on freshly tilled fields in the Grand Duchy of Luxembourg was elaborated and tested. This method is based on the shooting of soil vertical photographs in the visible spectrum and the derivation of a shadow correction factor resulting from the comparison of “reflectance” of shadowed and illuminated soil areas. Moreover, the study of laboratory ASD reflectance of shadowed soil samples showed that the influence of shadow on reflectance varies according to wavelength. Consequently a correction factor in the entire [350–2500 nm] spectral range was computed to translate this differential influence. Our results showed that SOCa was improved by 27% for field spectral data and by 25% for airborne spectral data by correcting the effect of soil relative shadow. However, compared to simple mathematical treatment of the spectra (first derivative, etc.) able to remove variation in soil albedo due to roughness, the proposed method, leads only to slightly more accurate SOCa. [less ▲]

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See detailThe Agrometeorological crop yield forecasting System of Armenia - User Manual - December 2013
Tychon, Bernard ULg; Denis, Antoine ULg; Djaby, Bakary ULg et al

Learning material (2013)

« This document was produced under the Agrometeorological component of the “EC/FAO Programme on Information Systems to Improve Food Security Decision-Making in ENP East Area” in Armenia. The objective of ... [more ▼]

« This document was produced under the Agrometeorological component of the “EC/FAO Programme on Information Systems to Improve Food Security Decision-Making in ENP East Area” in Armenia. The objective of the Programme in Armenia is to support government’s priorities to reduce food insecurity and poverty by improving the quality and sharing of information across institutions, and promoting evidence-based analyses and assessments. This User Manual of Crop Yield Forecasting System used in Armenia may be used as a reference document for the future calculation of yield forecasts that HYDROMET will use in the coming years. [less ▲]

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See detailPerformance assessment of the FAO AquaCrop model for irrigated cabbage on farmer plots in a semi-arid environment
Wellens, Joost ULg; Raes, Dirk; Traore, Farid et al

in Agricultural Water Management (2013), 127

Small-scale irrigation initiatives are expanding rapidly in Burkina Faso. However, in many cases optimal yields are not being obtained despite the available water and the required nutrient applications ... [more ▼]

Small-scale irrigation initiatives are expanding rapidly in Burkina Faso. However, in many cases optimal yields are not being obtained despite the available water and the required nutrient applications. Local stakeholders need an easy-to-use decision-support tool to assess irrigation water use and its impact on yield. In this study, a water-driven crop model, AquaCrop, developed by FAO, was adapted for cabbage (Brassica oleracea L.) using a limited dataset and leave-one-out cross-validation (LOOCV). The experiment was conducted in south-western Burkina Faso on small irrigated farmer plots, where optimal managerial conditions could not always be guaranteed. Statistical indicators – normalized root mean square error (nRMSE) and index of agreement (d) – suggested that the model is very reliable for simulating cabbage biomass yield and soil water content (low nRMSE and d-index near 1). The relationship between observed and simulated yield produced a d-index of 0.99 and an nRMSE of 1.39% (or 0.59 ton/ha). The comparison between observed and modeled soil water content gave a d-index of 0.90 and an nRMSE of 4.38% (or 9.13 mm). Also of interest was the indirect link between plant density and yield via maximum canopy cover, which can considerably simplify yield estimation. It was concluded that AquaCrop was a very useful tool for enabling local end-users to evaluate and optimize cabbage yield and irrigation water use. [less ▲]

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See detailLivret - Guide. Voyage d'étude dans l'Oriental marocain
Denis, Antoine ULg

Learning material (2013)

Ce document est utilisé comme livret-guide d'un voyage d’étude d'une semaine dans l'Oriental marocain et a pour thème la gestion de l'environnement. Ce voyage est organisé dans le cadre du Master ... [more ▼]

Ce document est utilisé comme livret-guide d'un voyage d’étude d'une semaine dans l'Oriental marocain et a pour thème la gestion de l'environnement. Ce voyage est organisé dans le cadre du Master Complémentaire en Sciences et Gestion de l’Environnement dans les Pays en Développement de l'Université de Liège. Ce livre guide contient essentiellement un résumé de toutes les problématiques environnementales abordées au cours du voyage (station d'épuration de l'eau, décharges, dégradation des sols et désertification, reboisement, parc naturel, gestion d'une oasis, aménagement du litoral, etc. [less ▲]

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See detailFAO Training in Crop Yield Forecasting. Improvement of the Crop Yield Forecasting System (CYFS) in Armenia: a new approach for satellite data integration. ARMENIA - Yerevan - January 2013.
Denis, Antoine ULg

Learning material (2013)

This manual describes a methodology to prepare the remote sensing database needed for the crop yield forecasting methodology developped by the University of Liege, in the case of Armenia.This manual has ... [more ▼]

This manual describes a methodology to prepare the remote sensing database needed for the crop yield forecasting methodology developped by the University of Liege, in the case of Armenia.This manual has been written for the training in Crop Yield Forecasting for Armenia that occurred between 21st and 25th January 2013 in Erevan – Armenia in the framework of the “EC/FAO Programme on information systems to improve food security decision-making in the European Neighbourhood Policy (ENP) East area”. This manual is intended to cover the Remote Sensing part only of the general CYFS. Despite written for the Armenian training this manual can serve as an example for all other countries. [less ▲]

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See detailFAO Training in Crop Yield Forecasting. Crop Yield Forecasting Methodology Enhancement – Remote sensing. Erevan 21 - 25 January 2013.
Denis, Antoine ULg

E-print/Working paper (2013)

Power point presentation of the FAO training "Crop Yield Forecasting Methodology Enhancement – Remote sensing", held in Erevan, Armenia, 21 - 25 January 2013 at ARMSTATEHYDROMET. The main objective of ... [more ▼]

Power point presentation of the FAO training "Crop Yield Forecasting Methodology Enhancement – Remote sensing", held in Erevan, Armenia, 21 - 25 January 2013 at ARMSTATEHYDROMET. The main objective of this training was the improvement of the Crop Yield Forecasting System (CYFS) in Armenia by introducing a new approach for satellite data integration (use of TIMESAT software and METOP AVHRR NDVI images). This training was held in the framework of the "EC/FAO Programme on Information Systems to Improve Food Security Decision-Making in the European Neighbourhood Policy (ENP) East Area GCP/GLO/275/EC". [less ▲]

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See detailMonitoring the evolution of irrigated areas with Landsat images using backward and forward change detection analysis in the Kou watershed
Traore, Farid ULg; Cornet, Yves ULg; Denis, Antoine ULg et al

in Geocarto International (2013)

The Kou watershed is characterized by important water resources used for drinking, agriculture (especially in the important irrigated areas), industry and the preservation of aquatic fauna and flora. For ... [more ▼]

The Kou watershed is characterized by important water resources used for drinking, agriculture (especially in the important irrigated areas), industry and the preservation of aquatic fauna and flora. For several decades there has been increasing pressure on the Kou’s water resources, partly because of the expansion of the irrigated agricultural areas. This study was conducted to examine this issue, focusing on one specific irrigated area. In order to monitor the expansion of irrigated areas in developing countries, a low-cost remote sensing method based on Landsat images and aerial photographs was developed. The method is based on maximum-likelihood classifications, followed by backward and forward change detection analysis requiring agronomic expertise. Using pixel trajectory analysis, the method connects all pixels to their consecutive states in order to correct their current states. The study showed that the irrigated area has expanded by almost 80% over 20 years, with most of this expansion occurring in the past 10 years. The approach, if validated, could be used to obtain information on past occupation in the rural irrigated areas for which there is no archived data. [less ▲]

Detailed reference viewed: 95 (27 ULg)
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See detailInitiation à ArcGIS - Travaux pratiques sur les Systèmes d'Information Géographique - SIG
Denis, Antoine ULg

Learning material (2012)

Introduction to ArcGIS (GIS) manual for beginners with data

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See detailTravaux Pratiques de Télédétection Spatiale
Denis, Antoine ULg

Learning material (2012)

Ce manuel est 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. Les ... [more ▼]

Ce manuel est 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. Les données associées à ces travaux pratiques ne sont disponibles que pour les étudiants inscrits à ce cours. Le logiciel principalement utilisé dans ces travaux est un logiciel payant (ENVI, de la firme EXELIS). Les autres logiciels utilisés sont gratuits et disponibles sur le web: WINDIP, TIMESAT, ViewSpecPro et Google Earth. Les exercices concernent, par ordre d'importance: la classification supervisée d'une image haute résolution (observation, identification des zones d'entrainement et caractérisation statistique des échantillons, classification, validation), l'analyse diachronique de 2 images basses 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 visualisation 2D et 3D, la correction géométrique d’une image, l'analyse de données hyperspectrales (images et ponctuelles), la découverte de Google Earth, la recherche d'images satellites sur le web,... [less ▲]

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See detailComment installer et utiliser Endnote Web pour réaliser une bibliographie automatique dans MS Word
Denis, Antoine ULg

Learning material (2012)

Ce petit document vous apprendra en 20 minutes à installer et utiliser le logiciel libre « Endnote Web » qui permet de : a) Créer une base de données bibliographique personnelle et en ligne; b) Insérer et ... [more ▼]

Ce petit document vous apprendra en 20 minutes à installer et utiliser le logiciel libre « Endnote Web » qui permet de : a) Créer une base de données bibliographique personnelle et en ligne; b) Insérer et formater automatiquement une bibliographie dans un document Microsoft Word (Office) [less ▲]

Detailed reference viewed: 219 (35 ULg)