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Estimation of vegetation parameter for modelling soil erosion using linear spectral mixture analysis of Landsat ETM data / A.M. DE Asis in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)
[article]
Titre : Estimation of vegetation parameter for modelling soil erosion using linear spectral mixture analysis of Landsat ETM data Type de document : Article/Communication Auteurs : A.M. DE Asis, Auteur ; K. Omasa, Auteur Année de publication : 2007 Article en page(s) : pp 309 - 324 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] classification pixellaire
[Termes IGN] couvert végétal
[Termes IGN] données de terrain
[Termes IGN] érosion
[Termes IGN] estimation statistique
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Quickbird
[Termes IGN] modèle physique
[Termes IGN] modèle RUSLERésumé : (Auteur) Soil conservation planning often requires estimates of soil erosion at a catchment or regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its subsequent Revised Universal Soil Loss Equation (RUSLE) are useful tools to generate the quantitative estimates necessary for designing sound conservation measures. However, large-scale soil erosion model-factor parameterization and quantification is difficult due to the costs, labor and time involved. Among the soil erosion parameters, the vegetative cover or C factor has been one of the most difficult to estimate over broad geographic areas. The C factor represents the effects of vegetation canopy and ground covers in reducing soil loss. Traditional methods for the extraction of vegetation information from remote sensing data such as classification techniques and vegetation indices were found to be inaccurate. Thus, this study presents a new approach based on Spectral Mixture Analysis (SMA) of Landsat ETM data to map the C factor for use in the modeling of soil erosion. A desirable feature of SMA is that it estimates the fractional abundance of ground cover and bare soils simultaneously, which is appropriate for soil erosion analysis. Hence, we estimated the C factor by utilizing the results of SMA on a pixel-by-pixel basis. We specifically used a linear SMA (LSMA) model and performed a minimum noise fraction (MNF) transformation and pixel purity index (PPI) on Landsat ETM image to derive the proportion of ground cover (vegetation and non-photosynthetic materials) and bare soil within a pixel. The end-members were selected based on the purest pixels found using PPI with reference to very high-resolution QuickBird image and actual field data. Results showed that the C factor value estimated using LSMA correlated strongly with the values measured in the field. The correlation coefficient (r) obtained was 0.94. A comparative analysis between NDVI- and LSMA-derived C factors also proved that the latter produced a more detailed spatial variability, as well as generated more accurate erosion estimates when used as input to RUSLE model. The QuickBird image coupled with field data was used in the validation of results. Copyright ISPRS Numéro de notice : A2007-430 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.013 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28793
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 4 (September 2007) . - pp 309 - 324[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-07061 SL Revue Centre de documentation Revues en salle Disponible Terraced landscapes characterization / D. Rizzo in Revue internationale de géomatique, vol 17 n° 3-4 (septembre 2007 – février 2008)
[article]
Titre : Terraced landscapes characterization Type de document : Article/Communication Auteurs : D. Rizzo, Auteur ; M. Galli, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 431 - 447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aménagement rural
[Termes IGN] caractérisation
[Termes IGN] drainage
[Termes IGN] érosion
[Termes IGN] image satellite
[Termes IGN] irrigation
[Termes IGN] paysage agricole
[Termes IGN] système d'information géographique
[Termes IGN] Toscane (Italie)
[Termes IGN] vergerRésumé : (Auteur) Les paysages méditerranéens de terrasse sont souvent façonnés par des systèmes de drainage agricole. Ils sont aujourd’hui fortement exposés à des dégradations du fait de changements et abandon progressifs de leur gestion à partir de 1960. L’objectif de la recherche présentée est de caractériser les systèmes de drainage des terrains en pente à l’échelle d’un territoire dans des secteurs de collines méditerranéennes, pour aider à définir des priorités d’interventions agronomiques, environnementales et socio-économiques pour préserver ces systèmes de drainage. La zone d’étude comprend 62 km2, principalement couverte d’oliveraies, et située sur le versant sud-ouest du Monte Pisano (près de Pise en Toscane, Italie). La méthodologie mobilise le SIG et les techniques de la télédétection. Ceci permet de dégager des orientations de gestion de ces territoires pour assurer le maintien de leurs fonctions agro-environnementales. Copyright Lavoisier Numéro de notice : A2007-599 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3166/geo.17.431-447 En ligne : https://doi.org/10.3166/geo.17.431-447 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28962
in Revue internationale de géomatique > vol 17 n° 3-4 (septembre 2007 – février 2008) . - pp 431 - 447[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 047-07031 RAB Revue Centre de documentation En réserve L003 Disponible 047-07032 RAB Revue Centre de documentation En réserve L003 Disponible Spectral properties and reflectance curves of the revealed volcanic rocks in Syria using radiometric measurements / M. Rukieh in International Journal of Remote Sensing IJRS, vol 28 n°15-16 (August 2007)
[article]
Titre : Spectral properties and reflectance curves of the revealed volcanic rocks in Syria using radiometric measurements Type de document : Article/Communication Auteurs : M. Rukieh, Auteur ; A.M. Al-Kafri, Auteur ; A.W. Khalaf, Auteur Année de publication : 2007 Article en page(s) : pp 3235 - 3247 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] éclairement énergétique
[Termes IGN] ère quaternaire
[Termes IGN] image Landsat-MSS
[Termes IGN] image Landsat-TM
[Termes IGN] image SPOT
[Termes IGN] Jurassique
[Termes IGN] radiance
[Termes IGN] réflectance spectrale
[Termes IGN] roche volcanique
[Termes IGN] SyrieRésumé : (Auteur) This research aimed at studying the spectral reflectance intensity of different exposed volcanic rocks in Syria, and drawing their curves by radiometer measurements. In order to reach this goal, we have studied different kinds of volcanic rocks related to different ages, from the Jurassic until the recent Quaternary, and composed of fresh and altered basalt, phonolite and volcanic tuff. We measured the reflected rays of the volcanic rocks by using radiometers equipped with filters for the multi-spectral scanners (TM, MSS and SPOT), and the recorded information was treated according to the equation Reflectance = (Radiance + Dark current) Calibration factor / (Irradiance+ Dark current) Calibration factor. Furthermore, through this equation, we made a calculation for the reflectance intensity of each kind of measured rocks with different channels. We then showed the results of our measurements graphically. After that, we represented the average of the reflectance intensity curves for the various kinds of rocks, and for each kind of the mentioned scanners. We also determined the relative values of reflection in the different spectral channels to cancel the effect of the shadow, and to obtain the best information to help in designing and developing remote sensing survey equipment to recognize the mentioned rocks accurately. Copyright Taylor & Francis Numéro de notice : A2007-356 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600987886 En ligne : https://doi.org/10.1080/01431160600987886 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28719
in International Journal of Remote Sensing IJRS > vol 28 n°15-16 (August 2007) . - pp 3235 - 3247[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07091 RAB Revue Centre de documentation En réserve L003 Disponible Mapping of salt-affected soils using TM images / P. Garcia Rodriguez in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)
[article]
Titre : Mapping of salt-affected soils using TM images Type de document : Article/Communication Auteurs : P. Garcia Rodriguez, Auteur ; M.E. Perrez Gonzales, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 2713 - 2722 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Castille-La Manche
[Termes IGN] classification dirigée
[Termes IGN] déformation de surface
[Termes IGN] eau souterraine
[Termes IGN] image Landsat-TM
[Termes IGN] inondation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] risque naturel
[Termes IGN] sédiment
[Termes IGN] sol salinRésumé : (Auteur) Landsat images supply significant information on the different aspects of the physical environment necessary to determine the distribution of salty soils. This work centres on the La Mancha area (Central Spain) which, due to its flat topography, exhibits ideal conditions to show surface and groundwater movement, as well as sediment distribution. Combination of these factors is essential for development. The main goal of this study is to derive information on the distribution of salt-affected soils, as well as the area subject to flood risk. Multitemporal Landsat TM images selected from the 1990s have been used for this purpose. TM images are useful for delineation of mesozoic sediments rich in salts and/or areas with high humidity content. These images have been geo-referenced to the UTM coordinate system and have been digitally enhanced. Principal components, NDVI and supervised classification were computed. Therefore, it is quite possible to predict with a high degree of probability the development of saline soils, but their precise classification is not always possible, owing to the fact that they are usually associated with other soil groups: calcisols, regosols, luvisols and kastanozems. Salt-affected soils have been found to be associated with clayish mesozoic sediments, hollows, flood plain area and subsurface and groundwater movements. Complementary fieldwork is necessary in order to confirm digital values. Copyright Taylor & Francis Numéro de notice : A2007-310 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600928658 En ligne : https://doi.org/10.1080/01431160600928658 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28673
in International Journal of Remote Sensing IJRS > vol 28 n°11-12 (June 2007) . - pp 2713 - 2722[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-07071 RAB Revue Centre de documentation En réserve L003 Disponible 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)
[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]Réservation
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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 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)PermalinkDes activités supplémentaires / Michel Kasser in Géomètre, n° 2036 (avril 2007)PermalinkLUCC impact on sediment loads in sub-tropical rainy areas / X. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 3 (March 2007)PermalinkPotentiel des radars satellitaires embarqués sur Envisat et ERS pour le suivi et la cartographie de la dynamique côtière au large de Kourou (Guyane française) / J. Kouame in Photo interprétation, vol 43 n° 1 (Mars 2007)PermalinkRetrieval of suspended sediment from advanced hyperspectral sensor data in the Scheldt estuary at different stages in the tidal cycle / S. Sterckx in Marine geodesy, vol 30 n° 1-2 (March - June 2007)PermalinkSpace analysis and the detection of the changes for the follow-up of the components sand-vegetation in the area of Mecheria, Algeria / I. Haddouch in Revue Française de Photogrammétrie et de Télédétection, n° 185 (Mars 2007)PermalinkRegional products for the Baltic Sea using MERIS data / H. Krawczyk in International Journal of Remote Sensing IJRS, vol 28 n°3-4 (February 2007)PermalinkLes formes du relief terrestre / Max Derruau (2007)PermalinkGéographie de l'environnement / P. Arnould (2007)PermalinkIdentifying erosion areas at basin scale using remote sensing data and GIS: a case study in a geologically complex mountain basin in the Spanish Pyrenees / S. Begueria in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)Permalink