References of "Wellens, Joost"
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See detailAssessment of AquaCrop for maize and winter wheat using satellite derived fCover data
Mohamed Sallah, Abdoul-Hamid ULg; Wellens, Joost ULg

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

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See detailOn the use of decision-support tools for improved irrigation management: AquaCrop-based applications
Wellens, Joost ULg; Raes, Dirk; Tychon, Bernard ULg

in Elshorbagy, Amin; Kulshreshtha, Suren (Eds.) Current perspectives on irrigation and drainage (2017)

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See detailLes champs sous l’œil des satellites
Stassart, Camille; Wellens, Joost ULg

Article for general public (2017)

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See detailSatellites à l'appui d'outils d'aide à la décision dans l'agriculture: applications passées et futures
Wellens, Joost ULg

Conference given outside the academic context (2016)

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See detailIntroduction à AquaCrop: élaboration de calendriers d'irrigation
Wellens, Joost ULg

Scientific conference (2016, October)

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See detailProjet BELCAM: télédétection des besoins et rendements des cultures
Wellens, Joost ULg

Speech/Talk (2016)

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See detailiPot: Improved potato monitoring in Belgium using remote sensing and crop growth modelling
Piccard, Isabelle; Gobin, Anne; Curnel, Yannick et al

Poster (2016, April)

Detailed reference viewed: 38 (13 ULg)
See detailRegarder les champs pousser depuis le ciel
Wellens, Joost ULg

Diverse speeche and writing (2016)

Pourrait-on améliorer le rendement des champs en les analysant par satellite ? Joost Wellens, chercheur au Campus Environnement d'Arlon, travaille à des simulations pouvant couvrir des centaines, voire ... [more ▼]

Pourrait-on améliorer le rendement des champs en les analysant par satellite ? Joost Wellens, chercheur au Campus Environnement d'Arlon, travaille à des simulations pouvant couvrir des centaines, voire des milliers, de parcelles. [less ▲]

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See detailIrrigation Development Support Program - Agricultural water management in Burkina Faso
Traoré, Farid; Wellens, Joost ULg; Tychon, Bernard ULg et al

Poster (2015, October)

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See detailiPot: Industrial Potato monitoring for the Belgian potato sector using remote sensing and crop growth modelling
Wellens, Joost ULg

in Qu, Dongyu (Ed.) Develop Together for a Better Future (2015 Beijing World Potato Congress) (2015, July)

The Belgian potato processing industry has known a spectacular growth during the last decades. The companies active in this sector (most of them family owned enterprises) have succeeded – together with ... [more ▼]

The Belgian potato processing industry has known a spectacular growth during the last decades. The companies active in this sector (most of them family owned enterprises) have succeeded – together with primary producers and traders – to grow from 500.000 tons of processed potatoes in 1990 till 3.650.000 tons of raw material in 2012. When considering the production (in tons) per habitant, Belgium is ranked on the 4th place with a production of 395 tons per 1.000 inhabitants. Nowhere in the world are higher yields obtained than in Belgium. To keep up its position on the forefront of innovation, the potato processing industries are continuously looking at promising novel technologies that could improve business processes at any stage of growth. The close follow up of parcels on the land as form above is becoming an important tool to improve the quantity and the quality of the potato crop, and reduce the risks in order to plan the storage, packaging or processing and as such to strengthen the competiveness of the Belgian potato in a global market. The iPot project, financed by the Belgian Science Policy Office (BELSPO), aims to provide the Belgian potato sector, represented by Belgapom, with near real time information on field condition (weather-soil) and crop development, and with early yield estimates, derived from a combination of satellite images and crop growth models. Satellite images are used since long for crop monitoring at regional level by the public sector. Traditionally, low to medium resolution images, with pixel sizes from 250m to 1km are used for providing information on crop growth and development, and on yield at regional scale. However, the recent launch of constellations of high resolution optical sensors (DMC, Sentinel-2) offering spatially detailed information (20m pixel size) at high frequency (every 2 to 3 days) and at low cost, is creating a (r)evolution in the world of crop monitoring. Automatic processing chains have been developed to derive vegetation indices (NDVI) and biophysical parameters (fAPAR, LAI, fCover). Maps are being derived on a regular basis with for each pixel the actual development stage of the potato crop. This on-line scanning of the growth (phenology) is expected to result in an increased performance of crop growth models and better yield predictions. Once the data for crop phenology are incorporated into the model (B-CGMS), the yield data collected at the parcel level will be assimilated into the model using optimization algorithms to minimize the discrepancies between observed and simulated yield time series in order to improve further yield estimations. The combination of these new earth observation and modelling techniques arose the interest of a new type of users, mainly from the private sector (agro-industry, agricultural insurers, etc.). The iPot project aims to bridge the gap between the latest research efforts regarding crop growth monitoring and the industry. An intuitive web based geo-information platform is being developed to allow both the Belgian potato industry and research centers to access, analyze and combine the data with their own field observations in closed collaboration with the farmers, for improved decision-making. [less ▲]

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See detailRegional crop and irrigation monitoring: some examples of (new) opportunities
Wellens, Joost ULg

in Begian workshop: Space4Food (2015, June 11)

Satellite images are used since long for agricultural monitoring at different spatial scales: from continental, national to regional and even field level. Combined with agro-meteorological data and ... [more ▼]

Satellite images are used since long for agricultural monitoring at different spatial scales: from continental, national to regional and even field level. Combined with agro-meteorological data and simulation models they constitute powerful decision support tools for agriculture throughout the world. Some examples at different scales and domains are presented. In Burkina Faso, free MODIS time series of coarse resolution vegetation indices (NDVI), phenological and meteorological data are combined in a multiple regression analysis for early yield warning in the cotton industry. Using a limited amount of data, it allows a decent yield forecasting more than a month before harvest. Time series of ERS radar images are analysed to monitor water intakes on the irrigated perimeter of Tadla (Morocco). The back-scatter intensity gives a clear indication of the top soil moisture state, permitting irrigation managers a regional monitoring of the irrigation water distribution and a guidance in the water allocation pricing. Actually in Belgium, and soon to be exported elsewhere, very-high resolution imagery (SPOT-5 Take5) are used to observe crop canopy development (fAPAR, fCover) on field level. Either by curve-fitting functions or assimilating these satellite derived data in existing crop growth models, improved and spatially more detailed forecasting systems are being developed. Although mostly still in the domain of applied research, the new availability of high spatial and temporal resolution imageries such those that will provide the Sentinel satellites paves the way to a growing number of operational end users. [less ▲]

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See detailThe iPot Project: improved potato monitoring in Belgium using remote sensing and crop growth modelling
Piccard, I.; Nackaerts, K.; Gobin, A. et al

Poster (2015, April)

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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)

Detailed reference viewed: 141 (25 ULg)
See detailA consommer avec modération!
Wellens, Joost ULg

Speech/Talk (2015)

Le bassin du Kou, dans le sud-ouest du Burkina Faso, est depuis quelques décennies le théâtre de différentes formes de problèmes et conflits que l’on rencontre souvent dans des zones irriguées. S’étendant ... [more ▼]

Le bassin du Kou, dans le sud-ouest du Burkina Faso, est depuis quelques décennies le théâtre de différentes formes de problèmes et conflits que l’on rencontre souvent dans des zones irriguées. S’étendant sur 1.800 km², ce petit bassin contient la deuxième plus grande ville du Burkina Faso (Bobo-Dioulasso). Il couvre un ancien périmètre de riz irrigué aménagé par l’état et plusieurs zones agricoles exploitées de façon informelle. Malgré une relative abondance des ressources en eau, la plupart des utilisateurs de l'eau font régulièrement face à des pénuries d’eau en raison d'une augmentation de la population agricole et de pratiques d’irrigation inefficientes. A la demande des parties prenantes publiques et privées actives dans la région, des outils d’aide à la décision ont été développés (à moindre coût) afin de garantir le suivi-évaluation des ressources en eau et leur utilisation. Pour le suivi régional, des cartes d’occupations de sol ont été établies à partir d’images aériennes, prises avec un petit avion amateur. Combinées avec des données du réseau hydrométrique, des cartes de consommation en eau régionale ont été dessinées. Des régions présentant de mauvaises efficiences en irrigation ont pu être identifiées. A partir de ces constats régionaux, des actions plus détaillées et spécifiques ont pu être entreprises. Au niveau du périmètre irrigué, plus grand consommateur en eau situé le plus en aval et soucieux de la mauvaise gestion de l’eau à leur niveau, un diagnostic des efficiences en distribution et consommation a été élaboré. Suite à ces constats négatifs, le logiciel SIMIS (FAO) a été mis en place afin de proposer une répartition d’eau équitable, et d’améliorer les rendements malgré les ressources en eau en diminution. Quant à la panoplie de parcelles informelles en amont, un modèle de simulation eau-sol-plante, simple mais robuste, AquaCrop (aussi FAO), a été adapté. Des calendriers d’irrigation, issu de ce logiciel, permettent aux agents de terrain de conseiller les exploitants d’augmenter les efficiences en irrigation et ainsi accroître la disponibilité en eau pour les utilisateurs en aval. A chaque fois, plusieurs séances de concertation ont accompagné le développement et la mise en place de ces différents outils. Tous les acteurs, décideurs et agriculteurs, ont été entendus et informés afin de garantir la durabilité et l’appropriation des approches. Chaque outil est appliqué de manière indépendante à son niveau, nécessitant un nombre limité de données ; mais les résultats combinés contribuent à une gestion intégrée des ressources en eau pour l’agriculture irriguée. Des entretiens ont démontré une amélioration des moyens de subsistance en raison de la meilleure distribution de l'eau et une meilleure compréhension entre les différents utilisateurs de l’eau. [less ▲]

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See detailCadres méthodologiques et outils de gestion des eaux et terres pour l'agriculture irriguée en zones périurbaines au Burkina Faso
Sauret, Elie; Wellens, Joost ULg; Guyon, Francis et al

in Bogaert, Jan; Halleux, Jean-Marie (Eds.) Territoires périurbaines - Développement, enjeux et perspectives dans les pays du Sud (2015)

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See detailRegional crop modelling and yield forecasting: opportunities in coupling models and satellite data
Wellens, Joost ULg; Derouane, Johan

Conference (2014, November)

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