Herman Eerens

Herman Eerens
Flemish Institute for Technological Research | VITO · Remote Sensing

About

54
Publications
11,721
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1,046
Citations
Citations since 2016
8 Research Items
569 Citations
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2016201720182019202020212022020406080
2016201720182019202020212022020406080
2016201720182019202020212022020406080
Introduction
Skills and Expertise

Publications

Publications (54)
Article
Full-text available
Abstract: This paper presents the results of a sub-pixel classification of crop types in Bulgaria from PROBA-V 100 m normalized difference vegetation index (NDVI) time series. Two sub-pixel classification methods, artificial neural network (ANN) and support vector regression (SVR) were used where the output was a set of area fraction images (AFIs)...
Conference Paper
Full-text available
In the frame of BELCAM, a project funded by the Belgian Science Policy Office (BELSPO), researchers from UCL, ULg, CRA-W and VITO aim to set up a collaborative system to develop and deliver relevant information for agricultural monitoring in Belgium. The main objective is to develop remote sensing methods and processing chains able to ingest crowd...
Article
Full-text available
Given strong year-to-year variability, increasing competition for natural resources, and climate change impacts on agriculture, monitoring global crop and natural vegetation conditions is highly relevant, particularly in food insecure areas. Data from remote sensing image series at high temporal and low spatial resolution can help to assist in this...
Book
Full-text available
The present document provides a summary of research work carried out, at National Institute for Agronomic Research of Morocco (in French, Institut National de la Recherche Agronomique - INRA), since early 1990s, in the area of operational agrometeorology oriented toward forecasting crop harvests. Forecasting the production of crops early before har...
Conference Paper
Full-text available
Sustainably managing agriculture and forests is key for development, in particular in Africa, and for facing global challenges such as climate change or food security, but requires reliable information. As Earth Observation (EO) satellite data can contribute to these information needs, more and more institutes integrate this technology into their d...
Article
Full-text available
By governing water transfer between vegetation and atmosphere, evapotranspiration (ET) can have a strong influence on crop yields. An estimation of ET from remote sensing is proposed by the EUMETSAT ‘Satellite Application Facility’ (SAF) on Land Surface Analysis (LSA). This ET product is obtained operationally every 30 min using a simplified SVAT s...
Article
Full-text available
Satellite-derived time series of the fraction of absorbed photosynthetically active radiation (fAPAR) are widely used to monitor vegetation dynamics and to detect vegetation anomalies. Several global data sets are available for this purpose. They are produced using different algorithms and/or satellite sensors. This paper compares and analyzes thre...
Book
Full-text available
Préface La sécurité alimentaire repose sur une céréaliculture sensible aux aléas climatiques, aussi bien au Maroc que dans le monde. La production céréalière nationale ne couvre pas les besoins alimentaires du pays. Ces besoins sont assurés par les importations qui pèsent lourd sur la balance commerciale. Le poids du déficit est appelé à croitre e...
Article
Remote sensing is nowadays considered to be a valuable input for the annual collection of crop statistics. Derived crop maps can serve as a baseline for yield or area estimation or to target next year's census. For subsistence farming, where small parcels are mixed with other land use, crop mapping remains very challenging. This article evaluates t...
Article
Crop monitoring systems that rely on agrometeorologic models require estimates of global radiation. These estimates are difficult to obtain due to the limited number of weather stations that measure this variable. In the present study, we validated the global radiation estimates derived from MeteoSat Second Generation (MSG) and evaluated their use...
Article
Although the importance of ENSO on hydrological anomalies has been recognized, variations in sediment fluxes caused by these extreme events are poorly documented. The effect of ENSO is not limited to changes in sediment mobilization. Since ENSO events can affect terrestrial ecosystems, they may have important effects on sediment production and tran...
Article
Full-text available
Crop acreage estimation is a key aspect to forecast crop production. Maize acreage estimation becomes more and more important because the fast production changes every year due to the dynamics of the prices. This paper focuses on maize acreage estimation in the North China Plain using ENVISAT MERIS and CBERS-02B CCD data of 2008. Firstly, adaptive...
Article
Artificial neural networks (ANNs) are a popular class of techniques for performing soft classifications of satellite images. They have successfully been applied for estimating crop areas through sub-pixel classification of medium to low resolution images. Before a network can be used for classification and estimation, however, it has to be trained....
Article
Full-text available
Systematic scanning of the earth surface could be achieved for the first time in 1978, with the launch of the earth observation system NOAA-AVHRR. Some twenty years later, the SPOT-VEGETATION instrument introduced significant improvements at the levels of image quality, timeliness and availability. Since the start in April 1998, VITO is responsible...
Article
Global time series of low resolution images are available with high repeat frequency and at low cost, but their analysis is hampered by the presence of mixed pixels and the difficulty in locating detailed spatial features. This study examined the potential of sub-pixel classification for regional crop area estimation using time series of monthly ND...
Article
Full-text available
In Morocco, no operational system actually exists for the early prediction of the grain yields of wheat (Triticum aestivum L.). This study proposes empirical ordinary least squares regression models to forecast the yields at provincial and national levels. The predictions were based on dekadal (10-daily) NDVI/AVHRR, dekadal rainfall sums and averag...
Article
Full-text available
Crop acreage assessment is of particular importance in China where total crop land area is shrinking following the urbanization, directly threatening the policy of grain self-sufficiency. This study demonstrated the application potential of remote sensing to estimate large crop areas on the North China Plain (NCP). The cropping pattern in this plai...
Conference Paper
Full-text available
This paper describes the newly processed 1 km resolution NDVI AVHRR archive over Europe and the integration of the data with the SPOT-VEGETATION NDVI archive. Investigation of the agreement between the two NDVI datasets pointed out a high linear correlation. The RMSE between the datasets is presented and varies for most of the area between 0.05 and...
Conference Paper
Reliable and timely information on location and extent of crop areas is important for crop production forecasting, for decision support related to agri-environmental land use planning and management and for various scientific purposes. We investigated the possibility to estimate cropped areas from short and long time series of NDVI-imagery of low s...
Article
Full-text available
Le mois de juin fut chaud permettant à la plupart des cultures de bénéficier de très bonnes conditions de croissance. Le retard de croissance observé depuis le début du suivi des cultures a quasi complètement disparu. La faible pluviométrie constatée au mois de juin n'a pour l'instant que peu de conséquences pour les cultures bien installées vu les...
Conference Paper
Seasonal dynamics of land use can be analyzed by inspection of time series of satellite observations. SPOT-VEGETATION and TERRA-MODIS provide earth observation data with a daily global coverage at low cost. However, their coarse spatial resolution hampers the analysis due to the presence of mixed pixels and the impossibility to locate detailed spat...
Conference Paper
This project aims to support the GMES (Global Monitoring of Environment and Security) initiative by addressing research work under priority theme “global vegetation monitoring” that is needed to guarantee a smooth transition from experimental to operational systems in the production of data and information related to environment and security. GLOVE...
Article
Multitemporal Landsat7-ETM+ imagery and supplementary field survey data were used to establish a crop and land use map for an area of ±20 000 km² of Sanjiang Plain in China’s north-eastern province Heilongjiang. The “field-based” map is based on data of the year 2002 and is created by combining the results of a supervised Maximum Likelihood classif...
Conference Paper
One of the aims of the EU funded project Long-Term regional Effects of climate change on European Forests (LTEEF II) dealing with impact assessment and consequences for carbon budgets, was to quantify the fluxes of carbon and water between forest and atmosphere and to assess the continental scale carbon balance of forests in Europe. This paper pres...
Article
Full-text available
One of the aims of the EU funded project Long-term regional effects of climate change on European forests: impact assessment and consequences for carbon budgets (LTEEF-II, ENV4-CT97-0577) is to quantify the fluxes of carbon and water between vegetation (forests) and atmosphere and to assess the carbon balance of forests in Europe.This paper present...
Chapter
Full-text available
A good knowledge of the spatial distribution of major biome types on a global scale is of critical importance for global environmental research. To accurately measure changes in global biome distribution, sensors on satellite platforms may be used. One of these sensors is the VEGETATION instrument, which was launched on the SPOT 4 platform in March...
Conference Paper
Knowledge about global land cover is an important input for the modelling of ecological and environmental processes. Production of such global vegetation maps can be facilitated by using automated methods for classification. Two neural network strategies, an overall and class-specific network(s), were tested on a part of Europe. This study indicate...
Article
Full-text available
The Belgian Crop Growth Monitoring System (B-CGMS) uses the 1km²-resolution imagery of NOAA-AVHRR and SPOT-VEGETATION to improve its yield estimates. The pre-processed images are converted to fAPAR and combined with meteorological data (irradiance, temperature) to daily growth values by means of the Monteith approach. The regional means of the cumu...
Chapter
Full-text available
At VITO, the 6S/CSAR models are used to calculate at sensor and at surface bi-directional reflectances for airborne sensors. To assesss the performance of 6S/CSAR, a field measurement campaign was oraganized with DLR's DAIS 7915 hyperspectral spectrometer. Simultaneous ground measurements were carried out with the DAIS 7915 overflights to enable at...
Conference Paper
Most natural surfaces reflect incoming radiation with a different intensity according to the geometrical position of the observer and of the source of illumination. This wavelength dependent and surface-intrinsic optical property, called anisotropy or bi-directionality, also affects Remote Sensing (RS) observations. At Vito, SATCO (Sensitivity Anal...

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Projects

Projects (2)
Archived project
The E-AGRI project proposes to set up and adapt advanced crop monitoring technologies developed by European institutions, in China and Morocco. These two developing economies have already a relative mature ICT knowledge and earth observation expertise, but are still agriculturally dominant in terms of population. As the exploitability of the European technologies remains to be investigated in the third developing country, Kenya, the project proposes an activity of capacity building to raise the awareness of the local authorities and other stakeholders and to pave the way for further technological transfer in the future.