Descripteur
Termes IGN > sciences naturelles > sciences de la Terre et de l'univers > géosciences > géographie physique > hydrographie > qualité des eaux
qualité des eaux |
Documents disponibles dans cette catégorie (77)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Automatic detection of suspected sewage discharge from coastal outfalls based on Sentinel-2 imagery / Yuxin Wang in Science of the total environment, vol 853 (December 2022)
[article]
Titre : Automatic detection of suspected sewage discharge from coastal outfalls based on Sentinel-2 imagery Type de document : Article/Communication Auteurs : Yuxin Wang, Auteur ; Xianqiang He, Auteur ; Yan Bai, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 158374 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de groupement
[Termes IGN] Chine
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] classification par nuées dynamiques
[Termes IGN] couleur de l'océan
[Termes IGN] détection automatique
[Termes IGN] eau usée
[Termes IGN] image Sentinel-MSI
[Termes IGN] littoral
[Termes IGN] perturbation écologique
[Termes IGN] qualité des eauxRésumé : (auteur) Terrestrial pollution has a great impact on the coastal ecological environment, and widely distributed coastal outfalls act as the final gate through which pollutants flow into rivers and oceans. Thus, effectively monitoring the water quality of coastal outfalls is the key to protecting the ecological environment. Satellite remote sensing provides an attractive way to monitor sewage discharge. Selecting the coastal areas of Zhejiang Province, China, as an example, this study proposes an innovative method for automatically detecting suspected sewage discharge from coastal outfalls based on high spatial resolution satellite imageries from Sentinel-2. According to the accumulated in situ observations, we established a training dataset of water spectra covering various optical water types from satellite-retrieved remote sensing reflectance (Rrs). Based on the clustering results from unsupervised classification and different spectral indices, a random forest (RF) classification model was established for the optical water type classification and detection of suspected sewage. The final classification covers 14 optical water types, with type 12 and type 14 corresponding to the high eutrophication water type and suspected sewage water type, respectively. The classification result of model training datasets exhibited high accuracy with only one misclassified sample. This model was evaluated by historical sewage discharge events that were verified by on-site observations and demonstrated that it could successfully recognize sewage discharge from coastal outfalls. In addition, this model has been operationally applied to automatically detect suspected sewage discharge in the coastal area of Zhejiang Province, China, and shows broad application value for coastal pollution supervision, management, and source analysis. Numéro de notice : A2022-859 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.scitotenv.2022.158374 Date de publication en ligne : 28/08/2022 En ligne : https://doi.org/10.1016/j.scitotenv.2022.158374 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102135
in Science of the total environment > vol 853 (December 2022) . - n° 158374[article]Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3 / Nima Pahlevan in Remote sensing of environment, vol 270 (March 2022)
[article]
Titre : Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3 Type de document : Article/Communication Auteurs : Nima Pahlevan, Auteur ; Brandon Smith, Auteur ; Krista Alikas, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 112860 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] appariement d'images
[Termes IGN] apprentissage automatique
[Termes IGN] chlorophylle
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification par Perceptron multicouche
[Termes IGN] correction atmosphérique
[Termes IGN] données multisources
[Termes IGN] eaux côtières
[Termes IGN] image Landsat-OLI
[Termes IGN] image Sentinel-MSI
[Termes IGN] image Sentinel-OLCI
[Termes IGN] matière organique
[Termes IGN] Oregon (Etats-Unis)
[Termes IGN] qualité des eauxRésumé : (auteur) Constructing multi-source satellite-derived water quality (WQ) products in inland and nearshore coastal waters from the past, present, and future missions is a long-standing challenge. Despite inherent differences in sensors’ spectral capability, spatial sampling, and radiometric performance, research efforts focused on formulating, implementing, and validating universal WQ algorithms continue to evolve. This research extends a recently developed machine-learning (ML) model, i.e., Mixture Density Networks (MDNs) (Pahlevan et al., 2020; Smith et al., 2021), to the inverse problem of simultaneously retrieving WQ indicators, including chlorophyll-a (Chla), Total Suspended Solids (TSS), and the absorption by Colored Dissolved Organic Matter at 440 nm (acdom(440)), across a wide array of aquatic ecosystems. We use a database of in situ measurements to train and optimize MDN models developed for the relevant spectral measurements (400–800 nm) of the Operational Land Imager (OLI), MultiSpectral Instrument (MSI), and Ocean and Land Color Instrument (OLCI) aboard the Landsat-8, Sentinel-2, and Sentinel-3 missions, respectively. Our two performance assessment approaches, namely hold-out and leave-one-out, suggest significant, albeit varying degrees of improvements with respect to second-best algorithms, depending on the sensor and WQ indicator (e.g., 68%, 75%, 117% improvements based on the hold-out method for Chla, TSS, and acdom(440), respectively from MSI-like spectra). Using these two assessment methods, we provide theoretical upper and lower bounds on model performance when evaluating similar and/or out-of-sample datasets. To evaluate multi-mission product consistency across broad spatial scales, map products are demonstrated for three near-concurrent OLI, MSI, and OLCI acquisitions. Overall, estimated TSS and acdom(440) from these three missions are consistent within the uncertainty of the model, but Chla maps from MSI and OLCI achieve greater accuracy than those from OLI. By applying two different atmospheric correction processors to OLI and MSI images, we also conduct matchup analyses to quantify the sensitivity of the MDN model and best-practice algorithms to uncertainties in reflectance products. Our model is less or equally sensitive to these uncertainties compared to other algorithms. Recognizing their uncertainties, MDN models can be applied as a global algorithm to enable harmonized retrievals of Chla, TSS, and acdom(440) in various aquatic ecosystems from multi-source satellite imagery. Local and/or regional ML models tuned with an apt data distribution (e.g., a subset of our dataset) should nevertheless be expected to outperform our global model. Numéro de notice : A2022-126 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.rse.2021.112860 Date de publication en ligne : 04/01/2022 En ligne : https://doi.org/10.1016/j.rse.2021.112860 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99705
in Remote sensing of environment > vol 270 (March 2022) . - n° 112860[article]Possibilities for assessment and geovisualization of spatial and temporal water quality data using a webGIS application / Daniel Balla in ISPRS International journal of geo-information, vol 11 n° 2 (February 2022)
[article]
Titre : Possibilities for assessment and geovisualization of spatial and temporal water quality data using a webGIS application Type de document : Article/Communication Auteurs : Daniel Balla, Auteur ; Marianna Zichar, Auteur ; Emoke Kiss, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 108 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] contamination
[Termes IGN] données spatiotemporelles
[Termes IGN] épidémie
[Termes IGN] évaluation
[Termes IGN] maladie infectieuse
[Termes IGN] outil d'aide à la décision
[Termes IGN] pollution des eaux
[Termes IGN] qualité des eaux
[Termes IGN] WebSIG
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) The provision of webGIS-based water quality data services has become a priority area for both the public and administrative sectors in the context of the pandemic emergency associated with the global spread of COVID-19. Current geographic, monitoring and decision supporting systems, typically based on web-based geospatial information, greatly facilitate the sharing of spatial and temporal data from environmental databases and real-time analyses. In the present study, different water quality indices are determined, compared and geovisualized, during which the changes in the quality of the shallow groundwater resources of a settlement are examined in the period (2011–2019) in an eastern Hungarian settlement. Another objective of the research is to determine three water quality indices (Water Quality Index, CCME Water Quality Index, Contamination degree) and categorize water samples based on the same input spatial and temporal data using self-developed freely available geovisualization tools. Groundwater quality was assessed by using different water quality indices. Significant pollution of the groundwater in the time period before the installation of a sewage network was shown. Regarding water quality, significant positive changes were shown based on all three water quality indices in the years after installing a sewage network (2015–2019). The presence of pollution apart from the positive changes suggests that the purification processes will last for a long time. Numéro de notice : A2022-170 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi11020108 En ligne : https://doi.org/10.3390/ijgi11020108 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99799
in ISPRS International journal of geo-information > vol 11 n° 2 (February 2022) . - n° 108[article]Spatial variability of suspended sediments in San Francisco Bay, California / Niky C. Taylor in Remote sensing, vol 13 n° 22 (November-2 2021)
[article]
Titre : Spatial variability of suspended sediments in San Francisco Bay, California Type de document : Article/Communication Auteurs : Niky C. Taylor, Auteur ; Raphael M. Kudela, Auteur Année de publication : 2021 Article en page(s) : n° 4625 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] baie
[Termes IGN] échantillonnage
[Termes IGN] estuaire
[Termes IGN] image Sentinel-MSI
[Termes IGN] pas d'échantillonnage au sol
[Termes IGN] qualité des eaux
[Termes IGN] réflectance
[Termes IGN] San Francisco
[Termes IGN] sédiment
[Termes IGN] spectroradiométrie
[Termes IGN] surface de l'eau
[Termes IGN] surveillance du littoral
[Termes IGN] turbidité des eaux
[Termes IGN] variabilitéRésumé : (auteur) Understanding spatial variability of water quality in estuary systems is important for making monitoring decisions and designing sampling strategies. In San Francisco Bay, the largest estuary system on the west coast of North America, tracking the concentration of suspended materials in water is largely limited to point measurements with the assumption that each point is representative of its surrounding area. Strategies using remote sensing can expand monitoring efforts and provide a more complete view of spatial patterns and variability. In this study, we (1) quantify spatial variability in suspended particulate matter (SPM) concentrations at different spatial scales to contextualize current in-water point sampling and (2) demonstrate the potential of satellite and shipboard remote sensing to supplement current monitoring methods in San Francisco Bay. We collected radiometric data from the bow of a research vessel on three dates in 2019 corresponding to satellite overpasses by Sentinel-2, and used established algorithms to retrieve SPM concentrations. These more spatially comprehensive data identified features that are not picked up by current point sampling. This prompted us to examine how much variability exists at spatial scales between 20 m and 10 km in San Francisco Bay using 10 m resolution Sentinel-2 imagery. We found 23–80% variability in SPM at the 5 km scale (the scale at which point sampling occurs), demonstrating the risk in assuming limited point sampling is representative of a 5 km area. In addition, current monitoring takes place along a transect within the Bay’s main shipping channel, which we show underestimates the spatial variance of the full bay. Our results suggest that spatial structure and spatial variability in the Bay change seasonally based on freshwater inflow to the Bay, tidal state, and wind speed. We recommend monitoring programs take this into account when designing sampling strategies, and that end-users account for the inherent spatial uncertainty associated with the resolution at which data are collected. This analysis also highlights the applicability of remotely sensed data to augment traditional sampling strategies. In sum, this study presents ways to supplement water quality monitoring using remote sensing, and uses satellite imagery to make recommendations for future sampling strategies. Numéro de notice : A2021-839 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/rs13224625 Date de publication en ligne : 17/11/2021 En ligne : https://doi.org/10.3390/rs13224625 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99022
in Remote sensing > vol 13 n° 22 (November-2 2021) . - n° 4625[article]Assessing land use–land cover change and soil erosion potential using a combined approach through remote sensing, RUSLE and random forest algorithm / Siddhartho Shekhar Paul in Geocarto international, vol 36 n° 4 ([01/03/2021])
[article]
Titre : Assessing land use–land cover change and soil erosion potential using a combined approach through remote sensing, RUSLE and random forest algorithm Type de document : Article/Communication Auteurs : Siddhartho Shekhar Paul, Auteur ; Jianbing Li, Auteur ; Yubao Li, Auteur ; Lei Shen, Auteur Année de publication : 2021 Article en page(s) : pp 361 - 375 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bassin hydrographique
[Termes IGN] changement d'occupation du sol
[Termes IGN] classification orientée objet
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] coupe rase (sylviculture)
[Termes IGN] détection de changement
[Termes IGN] érosion
[Termes IGN] modèle RUSLE
[Termes IGN] occupation du sol
[Termes IGN] qualité des eaux
[Termes IGN] utilisation du solRésumé : (auteur) Numéro de notice : A2021-161 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1614099 Date de publication en ligne : 10/06/2019 En ligne : https://doi.org/10.1080/10106049.2019.1614099 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97081
in Geocarto international > vol 36 n° 4 [01/03/2021] . - pp 361 - 375[article]PermalinkUn système décisionnel pour l’analyse de la qualité des eaux de rivières / Sandro Bimonte in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 20 n° 3 (mai - juin 2015)PermalinkSensitivity analysis of a bio-optical model for Italian lakes focused on Landsat-8, Sentinel-2 and Sentinel-3 / Ciro Manzo in European journal of remote sensing, vol 48 n° 1 (2015)PermalinkUne ressource à faire fructifier durablement / Henri Plauche-Gillon in Géomètre, n° 2119 (novembre 2014)PermalinkApport de l'imagerie satellitaire à haute et très haute résolution pour la recherche d'indices de drainage superficiel : Application aux aires d'alimentation de captage (AAC) d'eau potable / Sébastien Rucquoi in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)PermalinkTraçabilité d'une pollution dans le réseau d'assainissement de la ville de Lausanne / Frédéric Ducry in Géomatique suisse, vol 112 n° 10 (octobre 2014)PermalinkTélédétection multi-échelle des lacs depuis un aéronef ultraléger motorisé / Y. Akhtman in Géomatique suisse, vol 112 n° 9 (septembre 2014)PermalinkCoastal and marine ecological changes and fish cage culture development in Phu Quoc, Vietnam (2001 to 2011) / Diep Thi Hong Nguyen in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkCartographie et valorisation des données de qualité des cours d’eau du bassin Seine-Normandie / Manon Cognyl (2014)PermalinkA spatial-based KDD process to better manage the river water quality / Hugo Alatrista-Salas in Revue internationale de géomatique, vol 23 n° 3 - 4 (septembre 2013 - février 2014)PermalinkUne évaluation spatiale des risques agro-environnementaux par une modélisation multicritère combinée avec la méthode PIXAL / Francis Macary in Revue internationale de géomatique, vol 23 n° 1 (mars - mai 2013)PermalinkA semi-analytical model for multitemporal prediction of chlorophyll-a in an Iowa lake using Hyperion data / R. Sugumaran in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 12 (December 2012)PermalinkIn situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system / Amr Abd-Elrahman in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 4 (July - August 2011)PermalinkWater quality and polluant monitoring / S. Liu in GEO: Geoconnexion international, vol 9 n° 9 (october 2010)PermalinkOpen source water quality analysis / A. Lo Tauro in GEO: Geoconnexion international, vol 9 n° 8 (september 2010)PermalinkA pre-screened and normalized multiple endmember spectral mixture analysis [MESMA] for mapping impervious surface area in Lake Kasumigaura Basin, Japan / F. Yang in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 5 (September - October 2010)PermalinkForêt et eau potable, des services à mettre en valeur / Julien Fiquepron in Forêt entreprise, n° 193 (juillet 2010)PermalinkDonnées de synthèse sur la biodiversité / CGDD Commissariat Général au Développement Durable (2010)PermalinkImpact des haies sur la ressource en eau et en sol à partir de l’exemple de la Bretagne : résultats récents et perspectives / Catherine Grimaldi ; Philippe Merot in Revue forestière française, vol 61 n° 5 (septembre - octobre 2009)Permalinkn° 18 - juillet 2009 - La qualité des rivières s’améliore pour plusieurs polluants, à l'exception des nitrates (Bulletin de Le point sur) / Aurélie DuboisPermalinkLes biofilms aquatiques : dans quelle mesure permettent-ils de comprendre l'effet des pesticides sur le fonctionnement des cours d'eau ? Exemple en zone de vignoble / Stéphane Pesce ; Ahmed Tlili ; Bernard Montuelle in Ingénieries : eau, agriculture, territoires, n° 55-56 (2008)PermalinkApplication of spectral decomposition algorithm for mapping water quality in a turbid lake (Lake Kasumigaura, Japan) from Landsat TM data / Y. Oyama in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)Permalinkvol 63 n° 5 - September - October 2008 - Remote sensing of coastal ecosystems (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / International society for photogrammetry and remote sensing (1980 -)PermalinkLa zone hyporhéique, une composante à ne pas négliger dans l'état des lieux et la restauration des cours d'eau / Thibault Datry ; Marie-José Dole-Olivier ; Pierre Marmonier ; Cécile Claret ; Jean-François Perrin ; Michel Lafont ; Pascal Breil in Ingénieries : eau, agriculture, territoires, n° 54 (juin 2008)PermalinkLa bio-indication et les indices macrophytiques, outils d'évaluation et de diagnostic de la qualité des cours d'eau / Christian Chauvin in Ingénieries : eau, agriculture, territoires, n° spécial (2008-04-01)PermalinkIndicateur CARLIT* = Rapport de stage de fin d'études, cycle des ingénieurs diplômés de l'ENSG 3eme année (IT3), master Carthageo-Pro / Nicolas Gonindard (2008)PermalinkExtending the MODIS 1 km ocean colour atmospheric correction to the MODIS 500 m bands and 500 m chlorophyll-a estimation towards coastal and estuarine monitoring / J.D. Shutler in Remote sensing of environment, vol 107 n° 4 (30/04/2007)PermalinkUnité et diversité des agences de l'eau / Françoise de Blomac in SIG la lettre, n° 85 (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)PermalinkContribution d'un SIG à la gestion des ressources en eaux souterraines : cas de la nappe profonde de Sfax, Tunisie / Nadia Trabelsi in Géomatique expert, n° 54 (01/01/2007)PermalinkUn SIG pour l'évaluation de la vulnérabilité des aquifères phréatiques / Imen Hentati in Géomatique expert, n° 46 (01/10/2005)PermalinkGestion des sites et sols pollués : risques pour les eaux souterraines / D. Darmendrail in Géosciences, n° 2 (septembre 2005)PermalinkRemote sensing of water quality for Burullus lake, Egypt / Kh. M. Dewidar in Geocarto international, vol 20 n° 3 (September - November 2005)PermalinkL'apport des données du satellite SPOT 5 à l'étude des zones humides en Bretagne nord : application au bassin versant du Jaudy-Guindy-Bizien / S. Saloum in Photo interprétation, vol 41 n° 1 (Mars 2005)PermalinkNoise over water surfaces in Landsat TM images / J.E. Nichol in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)PermalinkSénèque, logiciel de modélisation prospective de la qualité de l'eau / Denis Ruelland in Revue internationale de géomatique, vol 14 n° 1 (mars - mai 2004)PermalinkAutomated subpixel photobathymetry and water quality mapping / R.L. Huguenin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)PermalinkAVIRIS measurements of chlorophyll, suspended minerals, dissolved organic carbon, and turbidity in the Neuse River, North Carolina / M.A. Karaska in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)PermalinkQualité des eaux superficielles et assolement dans le bassin versant du Madon (Lorraine) / F. Masutti (2004)PermalinkExtending satellite remote sensing to local scales: land and water resources monitoring using high-resolution imagery / K.E. Sawaya in Remote sensing of environment, vol 88 n° 1 (30/11/2003)PermalinkSENEQUE 3, logiciel SIG de modélisation prospective de la qualité des eaux de surface / Denis Ruelland in Géomatique expert, n° 27 (01/09/2003)PermalinkRemote sensing techniques to assess water quality / J.C. Ritchie in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)PermalinkImage calibration to like-values in mapping shallow water quality from multitemporal data / M.A.. Islam in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 5 (May 2003)PermalinkWater quality retrievals from combined Landsat TM data and ERS-2 SAR data in the Gulf of Finland / Y. Zhang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 3 (March 2003)PermalinkApports de l'analyse spatiale dans la caractérisation de la multifonctionnalité de l'agriculture / Eliane Matter (2002)PermalinkMise en place d'un système d'information géographique pour l'étude du transfert des pesticides en milieu urbain / Bruno Barroca (2002)PermalinkCoastGIS'99, geomatics and coastal environment / Jacques Populus (2000)PermalinkA study on deposit and erosion phenomena along the southern coast of Sicily using satellite remote sensing / A.L. Geraci (31/05/1999)PermalinkOperational remote sensing for sustainable development / G.J.A. Nieuwenhuis (1999)PermalinkProsperity in the pipeline / N. Lan in GIS Europe, vol 7 n° 8 (01/08/1998)PermalinkComplémentarité des images optiques et radars pour la connaissance des littoraux / J. Bijaoui (1995)PermalinkLarge-scale modeling of urban nonpoint source pollution using a geographic information system / Kamyoung Kim in Photogrammetric Engineering & Remote Sensing, PERS, vol 59 n° 10 (october 1993)PermalinkElaboration d'une méthode automatisé de cartographie linéaire de la qualité des cours d'eau / Naziro Rahaingoalison (1992)PermalinkGIS/LIS 1991, Volume 3. Proceedings / American society for photogrammetry and remote sensing (1991)PermalinkOEEPE Workshop on data quality in land information systems / Organisation européenne d'études photogrammétriques expériementales (1991)PermalinkProceedings, International Symposium [on] remote sensing and water resources, Enschede, The Netherlands, August 20-24, 1990 / International association of hydrogeologists (1990)PermalinkLaser-induced fluorescence : limits to the remote detection of hydrogen ion, aluminium, and dissolved organic matter / W.D. Philpot in Remote sensing of environment, vol 29 n° 1 (July 1989)PermalinkUsing NOAA AVHRR imagery in assessing water quality parameters / G.J. Prangsma in International Journal of Remote Sensing IJRS, vol 10 n°4-5 (May 1989)PermalinkMonitoring water quality and river plume transport in Green bay, Lake Michigan with Spot-1 imagery / R.G. Lathrop in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 3 (march 1989)PermalinkThe remote sensing Loosdrecht lakes project / A.G. Dekker in International Journal of Remote Sensing IJRS, vol 9 n°10-11 (October-November 1988)PermalinkUse of Spot HRV data in the corps of engineers dredging program / C.J. Merry in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 9 (september 1988)PermalinkComparison of Landsat MSS pixel array sizes for estimating water quality / J.C. Ritchie in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 11 (november 1987)PermalinkUsing Landsat multispectral scanner data to estimate suspended sediments in Moon lake, Mississippi / J.C. Ritchie in Remote sensing of environment, vol 23 n° 1 (01/10/1987)PermalinkMapping of water quality in coastal waters using airborne Thematic Mapper data / J.C. Rimmer in International Journal of Remote Sensing IJRS, vol 8 n° 1 (January 1987)PermalinkContribution à l'étude de la dynamique et de la qualité des eaux en milieu lagunaire et côtier par télédétection aérienne (aspects méthodologiques développés en particulier dans une étude des phénomènes de "malaïque" sur l'étang de Thau) / B. Segala (1985)PermalinkNinth UN/FAO International training course in co-operation with the government of Italy / C. Travaglia (1985)PermalinkThermographie aéroportée / R. Burkhalter (1979)PermalinkWorkshop on the Eurasep Ocean color scanner experiments 1977 / Benny Moller Sorensen (1979)Permalink