Hervé Kerdiles

Hervé Kerdiles
European Commission | ec · Monitoring Agricultural ResourceS, Institute for Environment and Sustainabilty, Ispra (VA) Italy

About

20
Publications
6,594
Reads
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493
Citations
Introduction
I have been working at the Monitoring Agricultural ResourceS unit, Institute for Environment and Sustainability - now Food Security unit of Directorate D "Sustainable Resources" - at the Joint Research Centre of the European Commission, in Ispra (VA) Italy since end 2000. The unit focuses on agriculture monitoring using remote sensing information (but not only). This includes support to the European Common Agriculture Policy (in particular control of CAP subsidies using remote sensing, GPS and GIS which I did for 10 years) but also monitoring of agriculture in food insecure countries in support to DG DEVCO. My topics of interest are now crop monitoring and early warning, crop yield forecast, crop area estimation especially in food insecure countries.
Skills and Expertise
Additional affiliations
December 2010 - October 2015
European Commission
Position
  • Scientific Officer, Food Security group (support to DG DEVCO and ECHO)
December 2000 - November 2010
European Commission
Position
  • Scientific Officer in charge of the control of CAP subsidies using remote sensing, GIS & GPS

Publications

Publications (20)
Article
Full-text available
Forecasting crop yields is important for food security, in particular to predict where crop production is likely to drop. Climate records and remotely-sensed data have become instrumental sources of data for crop yield forecasting systems. Similarly, machine learning methods are increasingly used to process big Earth observation data. However, acce...
Article
Studying the relationship between potential high-impact precipitation and crop yields can help us understand the impact of the intensification of the hydrological cycle on agricultural production. The objective of this study is to analyse the contribution of intra seasonal rainfall indicators, namely dry and wet spells, for predicting millet yields...
Preprint
Full-text available
Forecasting crop yields is important for food security, in particular to predict where crop production is likely to drop. Climate records and remotely-sensed data have become instrumental sources of data for crop yield forecasting systems. Similarly, machine learning methods are increasingly used to process big Earth observation data. However, acce...
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
Monitoring crop and rangeland conditions is highly relevant for early warning and response planning in food insecure areas of the world. Satellite remote sensing can obtain relevant and timely information in such areas where ground data are scattered, non-homogenous, or frequently unavailable. Rainfall estimates provide an outlook of the drivers of...
Article
Full-text available
Accurate and reliable information on the spatial distribution of major crops is needed for detecting possible production deficits with the aim of preventing food security crises and anticipating response planning. In this paper, we compared some of the most widely used global land cover datasets to examine their comparative advantages for cropland...
Conference Paper
Full-text available
Agriculture monitoring, and in particular food security, requires near real time information on crop growing conditions for early detection of possible production deficits. Anomaly maps and time profiles of remote sensing derived indicators related to crop and vegetation conditions can be accessed online thanks to a rapidly growing number of web ba...
Article
Full-text available
Following the famines of the mid 1990s, the government of the Democratic People's Republic of Korea (DPRK) authorized cultivation on sloping land before deciding, in the years 2000, to limit this practice on slopes above 15 degrees in order to reduce erosion. There are still many cultivated fields on slopes and their total estimated area ranges fro...
Article
Full-text available
The use of remote sensing images in combination with ground survey data was assessed for deriving crop areas over Mengcheng County in 2011 in the North China Plain. First, a stratification of the county into arable land, permanent crops and non agricultural land was carried out by photo-interpreting a grid of points on Google Earth and a 2.5m Spot5...
Conference Paper
Full-text available
Image classifications including sub pixel analysis are often used to estimate directly the crop acreage, while ground data collected during field surveys play a secondary role. This pixel counting approach often leads to a biased estimation due to non-representative selection of ground data and subjective a-priori knowledge of analysts. Instead reg...
Article
Full-text available
In the frame of the Common Agriculture Policy, Member States have to measure parcels claimed for subsidies with a recommended precision. This is usually done using Very High Resolution (VHR) optical images with ground sampling distance of around 1m or better. However acquisition of such imagery may fail due to cloud cover. It is therefore worth exa...
Article
Biomass of both wild herbivores and livestock in rangelands is correlated with rainfall at a regional scale. Thus, rainfall may be a good predictor of actual stocking rates. However, rainfall data are scarce in many regions, and their spatial resolution is usually much coarser than needed to set or to evaluate wildlife or livestock stocking rates....
Article
Full-text available
The August 1991 eruption of Mount Hudson, a volcano located in the southern Andes, spread 8 km of ash into the atmosphere. As a result, a great part of the province of Santa Cruz, Argentina, was affected by a 0.1 to 10 cm ash layer. Plants and consequently animal life were severely touched and the region declared disaster-stricken. Comparison of pr...
Article
On 4 November 1992, the southern and western parts of the Pampean region, Argentina were affected by a frost that caused serious damage to crops and particularly to the wheat in flowering. Frosts were also reported for 5 and 23 November in the northeast and the southeast parts, respectively. In order to assess the frost affected areas, brightness t...
Article
Full-text available
Crop Normalized Difference Vegetation Index (NDVI) time profiles and crop acreage estimates were derived from the application of linear mixture modelling to Advanced Very High Resolution Radiometer (AVHRR) data over a test area in the southern part of the Pampa region, Argentina. Bands 1 and 2 from seven AVHRR scenes (June to January 1991) were com...
Article
Full-text available
Ten years of NOAA GAC data over the Argentinean Pampa were analyzed in relation with climate and crop production. Correlations between crop yield and monthly NDVI (cumulated or not, weighted by the global radiation or not) reached 0.87 for wheat, 0.85 for soybean and 0.83 for corn, despite the classical limitations of AVHRR data (mixed response, at...
Article
Full-text available
Linear mixture modeling was applied to NOAA-AVHRR data (bands 1, 2, and 4 X two dates) over the Pampa region, Argentina, to derive fraction images of winter crops, summer crops and pastures. First, the signatures of the three classes were extracted on sets of 3 km wide calibration windows by regressing the mixed NOAA response on the class proportio...

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Projects

Projects (2)
Project
Operational applications linked to agriculture, mainly in food insecure countries - drought monitoring / early warning for food insecure countries - yield forecasting based on coarse resolution (met or RS) data - crop area estimation combining ground survey data and high (or very high) resolution images