51. The use of high-resolution image time series for crop classification and evapotranspiration estimate over an irrigated area in central Morocco
- Author
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Benoît Duchemin, Salah Er-Raki, Albert Olioso, Valérie Simonneaux, D. Helson, A.G. Chehbouni, Centre d'études spatiales de la biosphère (CESBIO), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Equipe Ecologie Végétale, Sol & Environnement Marrakech, Faculté des Sciences Semlalia Marrakech, Antenne de la Direction Scientifique Environnement - Ecosystèmes Cultivés et Naturels (AVIGNON DS ECONAT), Institut National de la Recherche Agronomique (INRA), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Faculté des Sciences Semlalia [Marrakech], and Université Cadi Ayyad [Marrakech] (UCA)-Université Cadi Ayyad [Marrakech] (UCA)
- Subjects
SATELLITE MEASUREMENT ,010504 meteorology & atmospheric sciences ,spatial analysis ,0211 other engineering and technologies ,WHEAT ,02 engineering and technology ,Land cover ,01 natural sciences ,Normalized Difference Vegetation Index ,irrigation ,MOROCCO ,REMOTE SENSING ,[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems ,Evapotranspiration ,water management ,PHENOLOGY ,Cropping system ,Time series ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Remote sensing ,agriculture ,2. Zero hunger ,Pixel ,EVAPOTRANSPIRATION ,Decision tree learning ,Water Resource & Irrigation ,CROP ,15. Life on land ,Thematic Mapper ,General Earth and Planetary Sciences ,Environmental science ,Cartography - Abstract
A time series of eight high-resolution Landsat TM images, ranging over the crop season, has been acquired over an irrigated area in central Morocco. From this time series, a Normalized Difference Vegetation Index (NDVI) profile was generated for each pixel. In order to get significant profiles, the images were radiometrically corrected, first, using invariant objects located on the scene, based on visual observation of the images, and second, using the reflectance of these objects, estimated from a previously corrected image. In the following step, these NDVI profiles were used to identify four main crop types - bare soil, annual crops, trees on bare soil and trees on annual understory - using a decision tree algorithm. The resulting land cover map and the associated NDVI profiles were then used for an evapotranspiration estimate over the whole area, using the Food and Agriculture Organization (FAO) model. Daily outputs of the Moroccan meteorological model Aire Limite Adaptation Dynamique dveloppement International (ALADIN) were used to generate reference evapotranspiration (ET0) maps and K-c estimates were determined using the NDVI profiles.
- Published
- 2008