Search Results - "Eerens, Herman"

Sub-Pixel Crop Type Classification Using PROBA-V 100 m NDVI Time Series and Reference Data from Sentinel-2 Classifications by Dimitrov, Petar, Dong, Qinghan, Eerens, Herman, Gikov, Alexander, Filchev, Lachezar, Roumenina, Eugenia, Jelev, Georgi

“…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…”
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Image time series processing for agriculture monitoring by Eerens, Herman, Haesen, Dominique, Rembold, Felix, Urbano, Ferdinando, Tote, Carolien, Bydekerke, Lieven

“…Given strong year-to-year variability, increasing competition for natural resources, and climate change impacts on agriculture, monitoring global crop and…”
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FAO’s AVHRR-based Agricultural Stress Index System (ASIS) for global drought monitoring by Van Hoolst, Roel, Eerens, Herman, Haesen, Dominique, Royer, Antoine, Bydekerke, Lieven, Rojas, Oscar, Li, Yanyun, Racionzer, Paul

“…Agricultural production is highly dependent on climate variability in many parts of the world. In particular, drought may severely reduce crop yields,…”
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Estimation of carbon mass fluxes over Europe using the C-Fix model and Euroflux data by Veroustraete, Frank, Sabbe, Hendrik, Eerens, Herman

“…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…”
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Evaluation of Agreement Between Space Remote Sensing SPOT-VEGETATION fAPAR Time Series by Meroni, M., Atzberger, C., Vancutsem, C., Gobron, N., Baret, F., Lacaze, R., Eerens, H., Leo, O.

“…Satellite-derived time series of the fraction of absorbed photosynthetically active radiation (fAPAR) are widely used to monitor vegetation dynamics and to…”
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Crop mapping in countries with small-scale farming: a case study for West Shewa, Ethiopia by Delrue, Josefien, Bydekerke, Lieven, Eerens, Herman, Gilliams, Sven, Piccard, Isabelle, Swinnen, Else

“…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…”
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A field-based crop and land use map over Sanjiang plain in Heilongjiang derived from multi-temporal imagery of Landsat7-ETM by Eerens, Herman, Dong, Qinghan, Ozer, Pierre, Li, Xiufen

“…Multitemporal Landsat7-ETM+ imagery and supplementary field survey data was used to establish a crop and land use map for an area of ±20 000 km² of Sanjiang…”
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Evaluation of Agreement Between Space Remote Sensing SPOT-VEGETATION fAPAR Time Series: SPECIAL ISSUE ON ANALYSIS OF MULTITEMPORAL REMOTE SENSING DATA by MERONI, Michele, ATZBERGER, Clement, VANCUTSEM, Christelle, GOBRON, Nadine, BARET, Frédéric, LACAZE, Roselyne, EERENS, Herman, LEO, Olivier

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Effect of ENSO events on sediment production in a large coastal basin in northern Peru by Tote, Carolien, Govers, Gerard, Van Kerckhoven, Stijn, Filiberto, Isabel, Verstraeten, Gert, Eerens, Herman

“…ABSTRACT Although the importance of ENSO on hydrological anomalies has been recognized, variations in sediment fluxes caused by these extreme events are poorly…”
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Original Articles by Delrue, Josefien, Bydekerke, Lieven, Eerens, Herman, Gilliams, Sven, Piccard, Isabelle, Swinnen, Else

“…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…”
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Estimating crop-specific evapotranspiration using remote-sensing imagery at various spatial resolutions for improving crop growth modelling by Sepulcre-Cantó, Guadalupe, Gellens-Meulenberghs, Françoise, Arboleda, Alirio, Duveiller, Gregory, De Wit, Allard, Eerens, Herman, Djaby, Bakary, Defourny, Pierre

“…By governing water transfer between vegetation and atmosphere, evapotranspiration (ET) can have a strong influence on crop yields. An estimation of ET from…”
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Maize acreage estimation using ENVISAT MERIS and CBERS-02B CCD data in the North China Plain by Li, Qiangzi, Wu, Bingfang, Jia, Kun, Dong, Qinghan, Eerens, Herman, Zhang, Miao

“…► Valuable for wide-scale, regional crop acreage estimation at the early stage. ► Maize acreage estimation using ENVISAT MERIS and CBERS-02B CCD data. ► Crop…”
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Remote sensing time series analysis for crop monitoring with the SPIRITS software: new functionalities and use examples by Rembold, Felix, Meroni, Michele, Urbano, Ferdinando, Royer, Antoine, Atzberger, Clement, Lemoine, Guido, Eerens, Herman, Haesen, Dominique

“…Monitoring crop and natural vegetation conditions is highly relevant, particularly in the food insecure areas of the world. Data from remote sensing image time…”
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Estimating crop-specific evapotranspiration using remote-sensing imagery at various spatial resolutions for improving crop growth modelling: Third International Symposium on Recent Advances in Quantitative Remote Sensing by SEPULCRE-CANTO, Guadalupe, GELLENS-MEULENBERGHS, Françoise, ARBOLEDA, Alirio, DUVEILLER, Gregory, DE WIT, Allard, EERENS, Herman, DJABY, Bakary, DEFOURNY, Pierre

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International Journal of Applied Earth Observation and Geoinformation by BALAGHI, Riad, Tychon, Bernard, EERENS, Herman, JLIBENE, Mohammed

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Crop Area Assessment Using Sub-pixel Classification with a Neural Network Trained for a Reference Year by Bossyns, B., Eerens, H., Van Orshoven, J.

“…Reliable and timely information on location and extent of crop areas is important for crop production forecasting, for decision support related to…”
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An Integrated Long Time Series of 1km Resolution NDVI for Europe from the NOAA-AVHRR and SPOT-VEGETATION Sensors by Swinnen, E., Claes, P., Eerens, H., Heyns, W., Piccard, I., Viaene, P.

“…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…”
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