Agnès Bégué

Agnès Bégué
Cirad - La recherche agronomique pour le développement | CIRAD · UMR TETIS (Territoire, Environenment, Télédétection et Information Spatiale)

Ph.D.

About

174
Publications
46,415
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4,850
Citations
Citations since 2016
43 Research Items
2812 Citations
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20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500
20162017201820192020202120220100200300400500

Publications

Publications (174)
Article
Full-text available
Around the world, SDMs have been widely used to support forest management planning and biodiversity conservation. Beyond the prediction of species distribution provided by the SDMs, this study aimed to analyze the spatial distribution of tree species diversity using SDMs. The study area is a Faidherbia albida parkland in Central Senegal. It is char...
Chapter
Food security is a major concern in West Africa, particularly in Burkina Faso, which has been the epicenter of a humanitarian crisis since the beginning of this century. Early warning systems for food insecurity and famines rely mainly on numerical data for their analyses, whereas textual data, which are more complex to process, are rarely used. To...
Poster
Full-text available
This project aims to develop a methodological framework and operationalize a spatial processing chain to identify landscape units with the deployment of multi-source scales from Remote Sensing. Landscape mapping is crucial for monitoring and understanding a wide range of processes, and for addressing challenges such as land-use planning and biodive...
Article
Full-text available
The phenology of tropical forests is tightly related to climate conditions. In the Amazon, the seasonal greening of forests is conditioned by solar radiation and rainfall. Yet, increasing anthropogenic pressures (e.g. logging and wildfires), raise concerns about the impacts of forest degradation on the functioning of forest ecosystems, especially i...
Article
Full-text available
Due to different combinations of agriculture, livestock and forestry managed by rotation, succession and intercropping practices, integrated agriculture production systems such as integrated crop–livestock systems (iCL) constitute a very complex target and a challenge for automatic mapping of cropping practices based on remote sensing data. The ove...
Article
Full-text available
The availability of crop type reference datasets for satellite image classification is very limited for complex agricultural systems as observed in developing and emerging countries. Indeed, agricultural land use is very dynamic, agricultural censuses are often poorly georeferenced and crop types are difficult to interpret directly from satellite i...
Article
After many years of decline, hunger in Africa is growing again. This represents a global societal issue that all disciplines concerned with data analysis are facing. The rapid and accurate identification of food insecurity situations is a complex challenge. Although a number of food security alert and monitoring systems exist in food insecure count...
Article
Full-text available
Agroforestry plays a pivotal role for Sahelian communities by allowing simultaneous improvement of food security and conservation of natural ecosystems and their biodiversity. However, agroforestry systems (AFSs) are particularly heterogeneous in sub-Saharan Africa due to small to very small fields, a large variety of agricultural practices and a d...
Preprint
Full-text available
The availability of crop type reference datasets for satellite image classification is very limited for complex agricultural systems as observed in developing and emerging countries. Indeed, agricultural land use is very dynamic, agricultural census are often poorly georeferenced, and crop types are difficult to photo-interpret directly from satell...
Article
Full-text available
The adoption of new cropping practices such as integrated Crop-Livestock systems (iCL) aims at improving the land use sustainability of the agricultural sector in the Brazilian Amazon. The emergence of such integrated systems, based on crop and pasture rotations over and within years, challenges the remote sensing community who needs to implement a...
Article
Agroforestry is pointed out by the Intergovernmental Panel on Climate Change report as a key option to respond to climate change and land degradation while simultaneously improving global food security (IPCC, 2019). Faidherbia albida parklands are widespread in Sub-Saharan Africa and provide several ecosystem services to populations, notably an inc...
Article
Remote sensing observations such as NDVI trends can provide important insights into past and present states of land condition. However, they do not directly provide comprehensive information about our representation of land degradation and the processes at work. This study aimed to analyze vegetation productivity underlying factors in order to asse...
Article
Full-text available
In the last decade, governments, international institutions, donors, the private sector, etc. have shown a renewed interest in agricultural issues in Sub-Saharan Africa (SSA). This interest came with a strong need for information in countries where the lack of reliable and timely basic information can be a problem. Thanks to its capacity to observe...
Conference Paper
Full-text available
Geospatial information and its derived products, designed to contribute to public agricultural policy making, are not widely used in Africa, and this despite an increase access to satellite imagery and processing tools. This paper is mainly addressed to policy makers concerned by land and agricultural resources management, as a way to show them the...
Article
Full-text available
Smallholder agriculture provides 90 % of primary food production in developing countries. Its mapping is thus a key element for national food security. Remote sensing is widely used for crop mapping, but it is underperforming for smallholder agriculture due to several constraints like small field size, fragmented landscape, highly variable cropping...
Chapter
Identifying food insecurity situations timely and accurately is a complex challenge. To prevent food crisis and design appropriate interventions, several food security warning and monitoring systems are very active in food-insecure countries. However, the limited types of data selected and the limitations of data processing methods used make it dif...
Article
Remote sensing data, crop modelling, and statistical methods are combined in an original method to overcome current limitations of crop yield estimation. It is then tested for timely estimation of maize grain yields and their year-on-year variability in Burkina Faso. Outputs from the SARRA-O crop model were used as a proxy for observed data for cal...
Article
With the unprecedented availability of satellite data and the rise of global binary maps, the collection of shared reference data sets should be fostered to allow systematic product benchmarking and validation. Authoritative global reference data are generally collected by experts with regional knowledge through photo-interpretation. During the las...
Article
Full-text available
Les informations géospatiales et leurs produits dérivés, conçus pour contribuer à la définition des politiques publiques agricoles, sont peu utilisés en Afrique. Les infrastructures, la formation et les compétences manquent ; les activités de recherche et développement sont dispersées et insuffisantes. Mais, surtout, les besoins restent mal formali...
Article
Full-text available
Geospatial information and its derived products, designed to contribute to public agricultural policy making, are not widely used in Africa. The infrastructure, training and skills are lacking, and research and development activities are dispersed and inadequate. More importantly, needs are not formalised and technological resources, driven by the...
Article
Full-text available
The convergence of new EO data flows, new methodological developments and cloud computing infrastructure calls for a paradigm shift in operational agriculture monitoring. The Copernicus Sentinel-2 mission providing a systematic 5-day revisit cycle and free data access opens a completely new avenue for near real-time crop specific monitoring at parc...
Article
In a context of fast land changes due to human activity, the old “Malthus vs. Boserup” debate about human pressure on natural resources is more than ever a prevalent subject. We illustrate this debate with an example based on the Tuy Province in West Burkina Faso, which has known an important development these last fifteen years, as mainly observab...
Chapter
Land cover mapping relies mainly on the classification of satellite images using supervised techniques. The European Space Agency (ESA's) Sentinel-2 (S2) images available since 2015 and providing images at a high temporal and spatial (10 m) resolutions, offer new opportunities for land cover monitoring using remote sensing in Africa. This chapter p...
Article
Full-text available
For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and...
Conference Paper
Full-text available
In 2010, the Brazilian Government launched the Low-Carbon Agriculture Plan (Plan ABC) to promote adoption of good management practices by farmers and ranchers nationwide (Brazil, 2011). The selected practices included zero-tillage and integrated crop-livestock systems (also known as mixed farming systems) for cereal grains and beef or dairy product...
Article
Full-text available
In response to the need for generic remote sensing tools to support large-scale agricultural monitoring, we present a new approach for regional-scale mapping of agricultural land-use systems (ALUS) based on object-based Normalized Difference Vegetation Index (NDVI) time series analysis. The approach consists of two main steps. First, to obtain rela...
Article
Models are increasingly being used to investigate agro-ecosystems dynamics, although processes interacting at different scales remain difficult to consider. When upscaled or downscaled based on aggregation or disaggregation methods, information is generally distorted. This study explores agro-ecosystem modelling using an interaction graph-based mod...
Presentation
Since the Sahelian population livelihood relies mainly on agropastoral activities, accurate information on biomass productivity dynamics and the underlying drivers are needed to manage a wide range of issues such as food security. This study aims to contribute to a better understanding of these drivers in rangeland and cropland, both at the Sahel a...
Article
A wide range of environmental and societal issues such as food security policy implementation requires accurate information on biomass productivity and its underlying drivers at both regional and local scales. While many studies in West Africa are conducted with coarse resolution earth observation data, few have tried to relate vegetation trends to...
Article
Full-text available
Sentinel-2 images are expected to improve global crop monitoring even in challenging tropical small agricultural systems that are characterized by high intra- and inter-field spatial variability and where satellite observations are disturbed by the presence of clouds. To overcome these constraints, we analyzed and optimized the performance of a com...
Article
A land stratification of the French territory had been previously performed based on time series of vegetation and texture indices. This stratification led to 300 radiometrically homogenous regions that were considered as land units (LUs). In this paper, we present a quantitative analysis of the LUs, with the aim of testing if these LUs are linked...
Poster
Full-text available
Rural areas of West Burkina Faso have seen notable transformations these last two decades due to high population growth and farming systems evolution. Satellite images acquired frequently and covering large areas are essential for detecting such landscape changes and long term trends. However, these images generally have coarse spatial resolutions...
Technical Report
Full-text available
Ce rapport a pour objectif de faire un état des lieux des usages des technologies satellitaires dans le développement et l’analyse des agricultures africaines, afin de mieux cerner les difficultés actuelles, identifier les contraintes sur lesquelles la recherche et le partenariat peuvent avoir un effet, et imaginer les actions nécessaires pour leve...
Article
For the semiarid Sahelian region, climate variability is one of the most important risks of food insecurity. Field experimentations as well as crop modeling are helpful tools for the monitoring and the understanding of yields at local scale. However, extrapolation of these methods at a regional scale remains a demanding task. Remote sensing observa...
Article
Full-text available
Developing better agricultural monitoring capabilities based on Earth Observation data is critical for strengthening food production information and market transparency. The Sentinel-2 mission has the optimal capacity for regional to global agriculture monitoring in terms of resolution (10-20 meter), revisit frequency (five days) and coverage (glob...
Article
Full-text available
Over the recent past, there has been a growing concern on the need for mapping cropping practices in order to improve decision-making in the agricultural sector. We developed an original method for mapping cropping practices: crop type and harvest mode, in a sugarcane landscape of western Kenya using remote sensing data. At local scale, a temporal...
Book
It is widely recognized that accurate, updated, and spatially explicit information on cropping systems (and thus cropping intensity) is urgently needed at the global and regional scales to provide insight into the direction and magnitude of world agricultural production in terms of crop type acreage and yield (Lobell and Field, 2007), and in terms...
Conference Paper
Full-text available
In West Africa, the spatiotemporal variability of rainfall is often considered as one of the most important causes of food insecurity. Satellite Rainfall Estimates products provide synoptic, objective and timely information on the rainfall distribution and thus are particularly relevant tools for crop monitoring over large areas. This study assesse...
Article
The main use of satellite imagery concerns the process of the spectral and spatial dimensions of the data. However, to extract useful information, the temporal dimension also has to be accounted for which increases the complexity of the problem. For this reason, there is a need for suitable data mining techniques for this source of data. In this wo...
Article
Full-text available
High-spatial-resolution satellites usually have the constraint of a low temporal frequency, which leads to long periods without information in cloudy areas. Furthermore, low-spatial-resolution satellites have higher revisit cycles. Combining information from high-and low-spatial-resolution satellites is thought a key factor for studies that require...
Conference Paper
Full-text available
La cartographie des paysages passe généralement par la combinaison d’informations environnementales et d’informations sur les activités humaines. La qualité de la carte paysagère résultante dépend fortement de l’expertise et de la méthode utilisée, ainsi que de la qualité des données qui ont servi à son élaboration. Les séries temporelles d’images...
Article
Full-text available
In this contribution we present a local evaluation procedure of Landsat-MODIS fusion methods for crop monitoring purposes. Two fusion methods are applied to obtain a two-year time series of Landsat-resolution images. The validation is applied at pixel level in order to analyze if the simulated images are capable of unmixing coarse-resolution pixels...
Article
Landscapes can be described by seasonal and spatial patterns linked to vegetation type and phenology,environmental conditions, and human activities. The objective of this work is to propose and test anapproach for delineating homogeneous landscape units at a regional scale by using only Earth observationdata. We used MODIS (Moderate Imaging Spectro...
Article
Landscapes can be described by seasonal and spatial patterns linked to vegetation type and phenology, environmental conditions, and human activities. The objective of this work is to propose and test an approach for delineating homogeneous landscape units at a regional scale by using only Earth observation data. We used MODIS (Moderate Imaging Spec...
Article
Full-text available
Accurate cropland maps at the global and local scales are crucial for scientists, government and nongovernment agencies, farmers and other stakeholders, particularly in food-insecure regions, such as Sub-Saharan Africa. In this study, we aim to qualify the crop classes of the MODIS Land Cover Product (LCP) in Sub-Saharan Africa using FAO (Food and...
Conference Paper
Full-text available
In West Africa, rainfall variability dynamics are often considered as the major driver of vegetation production. Land use shifts have also to be taken into account when analyzing changes in vegetation production. To study how land use changes may impact vegetation response along a climatic gradient, we used three MODIS NDVI metrics time series (200...
Article
Full-text available
Estimating sugarcane biomass is difficult to achieve when working with highly variable spatial distributions of growing conditions, like on Reunion Island. We used a dataset of in-farm fields with contrasted climatic conditions and farming practices to compare three methods of yield estimation based on remote sensing: (1) an empirical relationship...