Publications of Joost Wellens
Bookmark and Share    
Full Text
See detailDiagnostic d’un système d’informations de gestion de l’eau à usage agricole dans le sous-bassin versant de la Haute-Comoé, Burkina Faso.
Pale, Sié ULiege; Traoré, Farid; Wellens, Joost ULiege et al

in GEO-ECO-TROP (2019), 43(3, n.s.)

L’agriculture irriguée, moteur économique du sous-bassin versant de la Haute-Comoé, est confrontée à de nombreux défis, à cause entre autres de la mauvaise gestion des ressources en eau de surface, qui se ... [more ▼]

L’agriculture irriguée, moteur économique du sous-bassin versant de la Haute-Comoé, est confrontée à de nombreux défis, à cause entre autres de la mauvaise gestion des ressources en eau de surface, qui se raréfient. L’insuffisance de communications entre les usagers a conduit parfois à des tensions perceptibles. Au regard de ce constat et face à un système national inopérant, les parties prenantes de la « Gestion Intégrée des Ressources en Eau », à travers le Comité Local de l’Eau (CLE), ont décidé de mettre en place un système de production et de partage d’informations. Une enquête qualitative réalisée pendant les campagnes sèches 2016 et 2017, a permis d’analyser le système, de repérer ses forces et faiblesses et de faire des propositions. Il ressort de cette analyse que le programme de lâchers d’eau à partir des trois principaux réservoirs contrôlant les eaux de surface, est au centre du système d’information du CLE et sa principale force réside dans la démarche de production de l’information. Le maillon « diffusion », reste cependant faible et il devrait être amélioré par des outils de communication de masse. [less ▲]

Detailed reference viewed: 42 (2 ULiège)
Full Text
See detailIntegrated Water Resources Management: past, present and future
Wellens, Joost ULiege; Derouane, Johan; Pale, Sié ULiege et al

in Geo-Eco-Trop (2019)

Detailed reference viewed: 36 (6 ULiège)
Full Text
See detailOpen Data and AquaCrop : sorghum yield estimates in support to food security in Niger
Mohamed Sallah, Abdoul-Hamid ULiege; Wellens, Joost ULiege; Garba, Issa et al

Poster (2019, September 20)

Detailed reference viewed: 31 (3 ULiège)
Full Text
See detailBatch-processing of AquaCrop plug-in for rainfed maize using satellite derived Fractional Vegetation Cover data
Mohamed Sallah, Abdoul-Hamid ULiege; Tychon, Bernard ULiege; Piccard, Isabelle et al

in Agricultural Water Management (2019), 217(346-355),

Detailed reference viewed: 51 (21 ULiège)
Full Text
See detailUsing multi-temporal landsat images and support vector machine to assess the changes in agricultural irrigated areas in the mogtedo region, burkina faso
Traoré, Farid; Bonkoungou, Joachim; Compaoré, Jérôme et al

in Remote Sensing (2019), 11(12),

Over the last few decades, small-scale irrigation has been implemented in Burkina Faso as a strategy to mitigate the impacts of adverse climate conditions. However, the development of irrigated perimeters ... [more ▼]

Over the last few decades, small-scale irrigation has been implemented in Burkina Faso as a strategy to mitigate the impacts of adverse climate conditions. However, the development of irrigated perimeters around small and medium water reservoirs has put the water resources under significant pressure, given the uncontrolled exploitation and lack of efficacious management plan. Insights into changes in irrigated areas around these reservoirs are therefore crucial for their sustainable management while meeting the different agricultural water needs. They will help to center policy priorities in terms of major impacts on the reservoirs; and thereby elaborate relevant mitigation and/or adaptation strategies. The main objectives of this study were to (1) quantify the changes in irrigated land areas surrounding the Mogtedo water reservoir between 1987 and 2015; and (2) determine whether the irrigable potential of this reservoir could sustainably meet the agricultural water needs under a more variable and changing climate. A low-cost remote sensing method based on Landsat imagery (Thematic Mapper, Enhanced Thematic Mapper Plus, and Operational Land Imager) and using Support Vector Machine (SVM) classification was developed to detect the changes in proportion of land use/land cover (LULC) in the Mogtedo region. A forward and backward change detection analysis requiring agronomic expertise was also applied to correct the pixels temporal trajectories. In addition, an intensity analysis was performed to assess land changes at time intervals, category, and transition levels. Five main LULC classes were identified: bare and hydromorphic soils, irrigated and rainfed agricultural areas, and water bodies. Overall, the classification of LULC was satisfactory with the overall accuracy and kappa coefficients ranging from 94.22 to 95.60% and 0.92 to 0.94, respectively. Results showed that LULC transformations were faster between 2000 and 2015, compared to the 1987-2000 period. The majority of categories (LULC classes) were active in terms of intensity of change (gain or loss) during the 1987-2000 and 2000-2015 periods, except hydromorphic soils. During these periods, the transition from rainfed agricultural areas to irrigated agricultural areas were targeted and stationary. Our findings revealed a 54% increase in irrigated areas between 1987 and 2015. The reservoir water volume decreased markedly from 9,077,000 m3 to 7,100,000 m3 during the same period. Such a decrease threatens the satisfaction of agricultural water requirements, since the reservoir is the unique source of irrigation water in the region. It could potentially lead to conflicts between users if adequate strategies for the sustainable management of the Mogtedo reservoir are not implemented. The methodology used in this study also addressed the challenge of building up historical spatial information database in data-scarce environments, and could be replicated readily in regions or countries like Burkina Faso. © 2019 by the authors. [less ▲]

Detailed reference viewed: 21 (3 ULiège)
Full Text
See detailL'eau dans les pays en développement: un marché à quel prix? Quelles solutions?
Wellens, Joost ULiege

Conference given outside the academic context (2018)

Detailed reference viewed: 20 (2 ULiège)
Full Text
See detailAquaCrop and ICT to improve irrigation efficiencies
Wellens, Joost ULiege; Wahbi, Amar; Tychon, Bernard ULiege et al

in FAO /IAEA Soils Newsletter (2018), 40(2),

Detailed reference viewed: 34 (8 ULiège)
See detailEO_Regions_Science: Basic Research in support of EO_Regions!
Orban, Anne ULiege; Barbier, Christian ULiege; Billen, Roland ULiege et al

Conference (2018, January)

Detailed reference viewed: 52 (10 ULiège)
Full Text
See detailPerformance du modèle AquaCrop pour la prévision des rendements du blé tendre au Maroc
Wellens, Joost ULiege

Scientific conference (2017, December 20)

Detailed reference viewed: 38 (7 ULiège)
Full Text
See detailCiné-débat: Merci pour la pluie
Wellens, Joost ULiege

Conference given outside the academic context (2017)

Detailed reference viewed: 30 (4 ULiège)
Full Text
See detailCrowdsourcing for agricultural applications: A review of uses and opportunities for a farmsourcing approach
Minet, Julien ULiege; Curnel, Yannick; Gobin, Anne et al

in Computers and Electronics in Agriculture (2017), 142, Part A

Abstract Crowdsourcing, understood as outsourcing tasks or data collection by a large group of non-professionals, is increasingly used in scientific research and operational applications. In this paper ... [more ▼]

Abstract Crowdsourcing, understood as outsourcing tasks or data collection by a large group of non-professionals, is increasingly used in scientific research and operational applications. In this paper, we reviewed crowdsourcing initiatives in agricultural science and farming activities and further discussed the particular characteristics of this approach in the field of agriculture. On-going crowdsourcing initiatives in agriculture were analysed and categorised according to their crowdsourcing component. We identified eight types of agricultural data and information that can be generated from crowdsourcing initiatives. Subsequently we described existing methods of quality control of the crowdsourced data. We analysed the profiles of potential contributors in crowdsourcing initiatives in agriculture, suggested ways for increasing farmers’ participation, and discussed the on-going initiatives in the light of their target beneficiaries. While crowdsourcing is reported to be an efficient way of collecting observations relevant to environmental monitoring and contributing to science in general, we pointed out that crowdsourcing applications in agriculture may be hampered by privacy issues and other barriers to participation. Close connections with the farming sector, including extension services and farm advisory companies, could leverage the potential of crowdsourcing for both agricultural research and farming applications. This paper coins the term of farmsourcing as a professional crowdsourcing strategy in farming activities and provides a source of recommendations and inspirations for future collaborative actions in agricultural crowdsourcing. [less ▲]

Detailed reference viewed: 128 (21 ULiège)
Full Text
See detailPotato monitoring in Belgium with "watchITgrow"
Piccard, Isabelle; Gobin, Anne; Wellens, Joost ULiege et al

in 19th International Workshop on the Analysis of Multitemporal Remote Sensing Images (2017, June 29)

Detailed reference viewed: 39 (7 ULiège)
Full Text
See detailAssessment of AquaCrop for winter wheat using satellite derived fCover data
Mohamed Sallah, Abdoul-Hamid ULiege; Wellens, Joost ULiege; Tychon, Bernard ULiege et al

in 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (2017, June 29)

Detailed reference viewed: 88 (21 ULiège)
Full Text
See detailLa gestion de l'eau dans les pays en développement ou GIRE: passé, présent et future
Wellens, Joost ULiege

Conference (2017, March 29)

Detailed reference viewed: 40 (4 ULiège)