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Auteur S.M. de Jong |
Documents disponibles écrits par cet auteur (3)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externesAgricultural cropland mapping using black-and-white aerial photography, Object-Based Image Analysis and Random Forests / M.F.A. Vogels in International journal of applied Earth observation and geoinformation, vol 54 (February 2017)
Titre : Agricultural cropland mapping using black-and-white aerial photography, Object-Based Image Analysis and Random Forests Type de document : Article/Communication Auteurs : M.F.A. Vogels, Auteur ; S.M. de Jong, Auteur ; G. Sterk, Auteur ; E.A. Addink, Auteur Année de publication : 2017 Article en page(s) : pp 114 - 123 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] base de données historiques
[Termes IGN] carte agricole
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] cultures
[Termes IGN] Ethiopie
[Termes IGN] image numérisée
[Termes IGN] Pays-Bas
[Termes IGN] photographie aérienne
[Termes IGN] photographie en noir et blanc
[Termes IGN] surface cultivée
[Termes IGN] utilisation du solRésumé : (auteur) Land-use and land-cover (LULC) conversions have an important impact on land degradation, erosion and water availability. Information on historical land cover (change) is crucial for studying and modelling land- and ecosystem degradation. During the past decades major LULC conversions occurred in Africa, Southeast Asia and South America as a consequence of a growing population and economy. Most distinct is the conversion of natural vegetation into cropland. Historical LULC information can be derived from satellite imagery, but these only date back until approximately 1972. Before the emergence of satellite imagery, landscapes were monitored by black-and-white (B&W) aerial photography. This photography is often visually interpreted, which is a very time-consuming approach. This study presents an innovative, semi-automated method to map cropland acreage from B&W photography. Cropland acreage was mapped on two study sites in Ethiopia and in The Netherlands. For this purpose we used Geographic Object-Based Image Analysis (GEOBIA) and a Random Forest classification on a set of variables comprising texture, shape, slope, neighbour and spectral information. Overall mapping accuracies attained are 90% and 96% for the two study areas respectively. This mapping method increases the timeline at which historical cropland expansion can be mapped purely from brightness information in B&W photography up to the 1930s, which is beneficial for regions where historical land-use statistics are mostly absent. Numéro de notice : A2017-050 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.jag.2016.09.003 En ligne : http://dx.doi.org/10.1016/j.jag.2016.09.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84229
in International journal of applied Earth observation and geoinformation > vol 54 (February 2017) . - pp 114 - 123[article]
Titre : Estimating spatial patterns of rainfall interception from remotely sensed vegetation indices and spectral mixture analysis Type de document : Article/Communication Auteurs : S.M. de Jong, Auteur ; V.G. Jetten, Auteur Année de publication : 2007 Article en page(s) : pp 529 - 545 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] érosion hydrique
[Termes IGN] évapotranspiration
[Termes IGN] image HYMAP
[Termes IGN] image hyperspectrale
[Termes IGN] indice de végétation
[Termes IGN] Leaf Area Index
[Termes IGN] pluie
[Termes IGN] ruissellementRésumé : (Auteur) Rainfall interception by vegetation is an important factor in the water balance. Consequently, rainfall interception should also be an important factor in models simulating processes such as evaporation, transpiration, surface runoff, soil erosion, and crop growth. In practice, however, it is difficult to make quantitative assessments of the spatial and temporal distribution of rainfall interception loss at the catchment level, for instance, and to make these values available as model input. In this paper, we present a novel method using earth observation images to estimate local quantitative values of rainfall interception loss. Leaf Area Index (LAI) and fractional vegetation cover per grid cell are important process variables for rainfall interception. These two variables are estimated from images using spectral vegetation indices and using spectral mixture analysis, respectively. Relations between canopy storage capacity and LAI exist for several plant species and vegetation types, but limited data are found on crops, and more research is needed in this field. The new method is explained and illustrated for a study area in southern France with a variety of land-cover types. It is found to be a valuable and practical approach to quantitatively assess spatial patterns of interception loss for given rainfall events. Copyright Taylor & Francis Numéro de notice : A2007-135 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810601064884 En ligne : https://doi.org/10.1080/13658810601064884 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28498
in International journal of geographical information science IJGIS > vol 21 n° 5 (may 2007) . - pp 529 - 545[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-07031 RAB Revue Centre de documentation En réserve L003 Disponible 079-07032 RAB Revue Centre de documentation En réserve L003 Disponible vol 21 n° 5 - may 2007 - Special issue in honour of the contribution of Peter Burrough to geographical information science (Bulletin de International journal of geographical information science IJGIS) / M. Van Der Perk
Titre : vol 21 n° 5 - may 2007 - Special issue in honour of the contribution of Peter Burrough to geographical information science Type de document : Périodique Auteurs : M. Van Der Perk, Éditeur scientifique ; S.M. de Jong, Éditeur scientifique ; R. Mcdonnell, Éditeur scientifique Année de publication : 2007 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique Numéro de notice : 079-0703 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=9873 [n° ou bulletin]
- Modelling landscape dynamics with Python / D. Karssenberg in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
- A probabilistic framework for representing and simulating uncertain environmental variables / Gerard B.M. Heuvelink in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
- Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios: an air quality example / Edzer J. Pebesma in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
- Estimating spatial patterns of rainfall interception from remotely sensed vegetation indices and spectral mixture analysis / S.M. de Jong in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
- Spatial-temporal specific neighbourhood rules for cellular automata land-use modelling / Stan Geertman in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
- Patterns in soil quality: Natural geochemical variability versus anthropogenic impact in soils of Zeeland, The Netherlands / P.F.M. Van Gaans in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
- The use of GIS in reconstructing the Holocene palaeogeography of the Rhine–Meuse delta, The Netherlands / H.J. Berendsen in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)
Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-07031 RAB Revue Centre de documentation En réserve L003 Disponible 079-07032 RAB Revue Centre de documentation En réserve L003 Disponible
