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The role of forests and forestry in rural development - Implications for forest policy / Peter Mayer (2000)
Titre : The role of forests and forestry in rural development - Implications for forest policy : International seminar, 5-7 July, Vienna/Austria Titre original : A contribution of the Work ofn MCPFE Type de document : Actes de congrès Auteurs : Peter Mayer, Éditeur scientifique Editeur : Ministerial conference on the protection of forests in Europe Année de publication : 2000 Importance : 168 p. ISBN/ISSN/EAN : 978-3-902073-05-1 Langues : Anglais (eng) Descripteur : [Termes IGN] agriculture
[Termes IGN] Europe (géographie physique)
[Termes IGN] gestion forestière durable
[Termes IGN] institution
[Vedettes matières IGN] ForesterieNuméro de notice : 27009 Affiliation des auteurs : non IGN Thématique : FORET Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100452 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité IFN-001-001381 MAY Livre Nogent-sur-Vernisson Bibliothèque Nogent IFN Exclu du prêt Drought monitoring based on thermal and microwave satellite data / Katarzyna Dabrowska-Zielinska (31/05/1999)
contenu dans Remote sensing in the 21st century : economic and environmental applications / José Luis Casanova (2000)
Titre : Drought monitoring based on thermal and microwave satellite data Type de document : Article/Communication Auteurs : Katarzyna Dabrowska-Zielinska, Auteur ; A. Ciolkosz, Auteur ; Marta Gruszczynska, Auteur ; W.S. Kowalik, Auteur ; F. Kogan, Auteur Editeur : Lisse et Amsterdam : Balkema (August Aimé) Année de publication : 31/05/1999 Conférence : EARSeL 1999, 19th symposium, Remote sensing in the 21st century : economic and environmental applications 31/05/1999 02/06/1999 Valladolid Espagne Importance : pp 75 - 78 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] céréales
[Termes IGN] cultures
[Termes IGN] image ERS-SAR
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image thermique
[Termes IGN] radar à antenne synthétique
[Termes IGN] sécheresse
[Termes IGN] surveillance agricole
[Termes IGN] télédétection en hyperfréquenceRésumé : (Auteur) The Remote Sensing and Spatial Information Centre - OPOLIS in co-operation with NOAA/NESDIS Satellite Laboratory in Washington and ESA has conducted multidisciplinary studies on impacts of environment on agriculture with application of remote sensing data for several years. Research activities included vegetation monitoring using NOAA/AVHRR as well as high resolution ERS-2.SAR data. Recently, a successful attempt was launched to use low resolution AVHRR data for early drought detection in Poland. NOAA images have been used to derive Temperature Condition Index (TCI) characterising the status of crop development. TCI index represents the relation between actual weekly value of temperature and the temperature, which occurred during both favourable and stress crop growing conditions in the last decade. The differences in TCI values and their spatial distribution for the whole country give information where and when the drought has started and how intensive it was. The research also demonstrated that backscattering coefficient calculated from ERS-1/2.SAR data characterises soil moisture condition and can be used for drought detection. Our research has been conducted for cereals and validated through detailed ground measurements. This paper presents the results obtained for 1992 (drought conditions), 1994 (mean moisture conditions) and 1998 (favourable moisture conditions) for cereals. Numéro de notice : C1999-038 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65804 L'image numérique pour faciliter la gestion de la cartographie agricole / S. Strasfogel in Géomètre, vol 1999 n° 5 (mai 1999)
[article]
Titre : L'image numérique pour faciliter la gestion de la cartographie agricole Type de document : Article/Communication Auteurs : S. Strasfogel, Auteur ; N. Konieczka, Auteur Année de publication : 1999 Article en page(s) : pp 48 - 49 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage
[Termes IGN] agriculture
[Termes IGN] carte agricole
[Termes IGN] collectivité territoriale
[Termes IGN] Haute-Marne (52)
[Termes IGN] orthoimage
[Termes IGN] système d'information géographiqueRésumé : Une association d'aide au développement agricole a acquis une orthophotographie numérique qui, associée à un SIG, est devenue un outil précieux pour les agriculteurs et les collectivités d'Haute-Marne. Numéro de notice : A1999-079 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26284
in Géomètre > vol 1999 n° 5 (mai 1999) . - pp 48 - 49[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 063-99051 RAB Revue Centre de documentation En réserve L003 Disponible A casebook for spatial statistical data analysis / Daniel A. Griffith (1999)
Titre : A casebook for spatial statistical data analysis : A compilation of analyses of different thematic data sets Type de document : Monographie Auteurs : Daniel A. Griffith, Auteur ; Larry J. Layne, Auteur Editeur : Oxford, Londres, ... : Oxford University Press Année de publication : 1999 Collection : Spatial informtion systems Importance : 506 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-0-19-510958-0 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] agriculture
[Termes IGN] analyse de données
[Termes IGN] analyse spatiale
[Termes IGN] blé (céréale)
[Termes IGN] données localisées numériques
[Termes IGN] épidémie
[Termes IGN] jeu de données localisées
[Termes IGN] krigeage
[Termes IGN] pollution
[Termes IGN] ressources naturelles
[Termes IGN] socio économie
[Termes IGN] statistique mathématiqueNote de contenu : PART 1 : THEORETICAL BACKGROUND
1. Introduction
1. 1.Parallels between Spatial Autoregression and Geostatistics
1.2. The Many Faces of Spatial Autocorrelation
1.3. The Moran Coefficient Scatterplot Tool
1.4. Multivariate Spatial Association
1.5. Heterogeneity and Locational Information
1.6. The Semivariogram Plot Tool
1.7. Computer Code for Implementing Spatial Statistical Analyses
Appendix 1-A : SAS Code for Computing MC Using Standard Regression Techniques.
Appendix 1-B : Directions for Using ArcInfo to Construct a Thiessen Polygon Surface Partitioning for a Set of Georeferenced Points.
Appendix 1-C : SAS Macros Used for Converting among Degrees, Decimal Degrees and Radians
2. Important Modeling Assumptions
2.1. The Relative Importance of the Principal Assumptions
2.2. Variable Transformations
2.3. Transforming in Search of Normality
2.4. Transforming in Search of Constant Variance
2.5. Linearity: Exploitation of Linear Relationships by Linear Statistical Models
2.6. An Absence of Independence: The Presence of Spatial Autocorrelation in Georeferenced Data
2.7. Exploring Residuals in Spatial Analysis
2.8. Other Statistical Frequency Distribution Assumptions
3. Popular Spatial Autoregressive and Geostatistical Models
3.1. Spatial Autoregressive Models
3.2. Geostatistical Models
3.3. Articulating Relationships Between Spatial Autoregressive and Geostatistical Models
3.4. Computer Code for Spatial Autoregressive and Semivariogram Modeling
Appendix 3-A : SAS Code for Estimating Equations (3.7ac) - the CAR Model
Appendix 3-B : SPSS Code for Estimating Equations (3.7ac) - the CAR Model
Appendix 3-C : SAS Code for Estimating Equations (3.8) & (3.9) - the SAR & AR Models
Appendix 3-D : SPSS Code for Estimating Equations (3.8) & (3.9) - the SAR & AR Models
Appendix 3-E : SAS Code for Selected Semivariogram Models
Appendix 3-F : SPSS Code for Selected Semivariogram Models
PART 2 : GEOREFERENCED DATA SET CASE STUDIES
4. Analysis of Georeferenced Socioeconomic Attribute Variables
4.1. The Cliff-Ord Eire Population Data
4.2. Urban Population Density
4.3. Residential Insurance Coverage in Chicago
4.4. Urban Crime in Columbus, Ohio
4.5. Geographic Distribution of Minorities across Syracuse, New York
4.6. Concluding Comments: Spatial Autocorrelation and Socioeconomic Attribute Variables
Appendix 4-A : Centroids Derived from a Digitized Version of Cliff and Ord's Map of Eire (1981, 207) Using ArcInfo
5. Analysis of Georeferenced Natural Resources Attribute Variables
5.1. Kansas Oil Wells Data
5.2. Natural Resources Inventory Data
5.3. Island Biogeography: Plant Species Data
5.4. Weather Station Rainfall Data
5.5. Drainage Basin Runoff Data
5.6. Digital Elevation Data
5.7. Preclassified Remotely Sensed Image Reflectance Data
5.8. Concluding Comments: Spatial Autocorrelation and Natural Resources Attribute Variables
6. Analysis of Georeferenced Agricultural Yield Variables
6.1. The Mercer-Hall Straw Yield Data
6.2. The Wiebe Wheat Yield Data
6.3. The Broadbalk Wheat and Straw Yield Data
6.4. Sugar Cane Production in Puerto Rico
6.5. Milk Production in Puerto Rico
6.6. Concluding Comments : Spatial Autocorrelation and Agricultural Yield Variables
7. Analysis of Georeferenced Pollution Variables
7.1. Southwestern Pennsylvania Coal Ash
7.2. EMAP Indicators of Ecological Condition
7.3. Great Smoky Mountains Water pH
7.4. Chemical Elements in Northwest Texas Groundwater
7.5. Hazardous Waste Contamination of Soil: Dioxin
7.6. Concluding Comments: Spatial Autocorrelation and Pollution Variables
8. Analysis of Georeferenced Epidemiological Variables
8.1. Glasgow Standardized Mortality Rates
8.2 Pediatric Lead Poisoning in Syracuse, New York
8.3. Fox Rabies in Germany
8.4. Concluding Comments : Spatial Autocorrelation and Epidemiological Variables
PART 3 : VISUALIZING WHAT IS NOT OBSERVED
9. Exploding Georeferenced Data When Maps Have Holes or Gaps : Estimating Missing Data Values and Kriging
9.1. An Introduction to EM Estimation
9.2. Estimating Missing Values: Two Simplified Georeferenced Data Illustrations
9.3. Estimating a Conspicuous Missing Data Value for the Coal-Ash Data Set
9.4. Estimating Conspicuous Missing Data Values for an Agricultural Experiment
9.5. Estimating Missing Median Family Income Data for Ottawa-Hull
9.6. Generalizing a Map Surface with Kriging
9.7. A Cross-Validation Example
9.8. Concluding Comments : Exploding Georeferenced Data
10. Concluding Comments
10.1. More about the Nature of Georeferenced Data
10.2. Reflections on Spatial Data Model Specifications
10.3. Implications regarding Relations between Spatial Autoregressive and Geostatistical Models
10.4. Reflections on Kriging
10.5. Spatial Statistics and GIS
10.6. Now Is the Time for All Good Spatial Scientists to ...
10.7. Some Questions Yet Unanswered : Future ResearchNuméro de notice : 13033 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54855 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13033-01 37.20 Livre Centre de documentation Géomatique Disponible
contenu dans ISPRS Commission 7 Symposium Resource and environmental monitoring 1996-2000 / Gabor Remetey-Fulopp (1998)
Titre : Monitoring of land use and crop growth conditions in Europe Type de document : Article/Communication Auteurs : G.J.A. Nieuwenhuis, Auteur ; Caspar A. Mücher, Auteur ; A.J. de Wit, Auteur Editeur : International Society for Photogrammetry and Remote Sensing ISPRS Année de publication : 01/09/1998 Conférence : ISPRS 1998, Commission 7 symposium on Resource and environmental monitoring 01/09/1998 04/09/1998 Budapest Hongrie OA Proceedings archives Importance : pp 143 - 150 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture
[Termes IGN] blé (céréale)
[Termes IGN] cultures
[Termes IGN] évapotranspiration
[Termes IGN] image NOAA-AVHRR
[Termes IGN] indice de végétation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] surveillance agricoleRésumé : (Auteur) A pilot study has been performed to map land cover for selected regions of Europe using multi-temporal NOAA/AVHRR satellite images. Based on the classification results the meaning of a 1-km land cover database at the European scale for agricultural and environmental applications has been illustrated. In a recent study for the Space Applications Institute (SAI) of the Joint Research Centre (JRC, Ispra) the integrative use of high and low resolution satellite data and crop growth models have been studied by SC-DLO. Vegetation indices as derived from both high and low resolution satellite data were used to estimate crop parameters. Especially if the actual situation deviates considerably from the mean situation, more realistic yield figures were obtained. Evapotranspiration maps have been composed using both satellite systems. In general areal patterns as obtained with high and low resolution satellite data were in agreement with each other. This means that such images are highly relevant to detect alarming situations concerning crop water supply during the growing season. A quantitative analysis should be further elaborated, integrating satellite observations and crop growth model simulations. Numéro de notice : C1998-037 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Communication DOI : sans En ligne : https://goobi.tib.eu/viewer/image/1669065049/166/ Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65761 Farming pays: Andalucia's agricultural application of GPS / F. Manzano-Agugliaro in GPS world, vol 9 n° 7 (July 1998)PermalinkWhat's good for the grower : assessing goose damage to northwest crops / D.E. Johnson in GPS world, vol 9 n° 3 (March 1998)PermalinkAn early crop yield estimation method for Finnish conditions / Risto Kuittinen (1998)PermalinkCartographie automatisée des indicateurs d'impact de changements climatiques sur l'agriculture / S. Vernier (1998)PermalinkMise en place du contrôle par télédétection des mesures agri-environnementales / C. Buestel (1998)PermalinkPacOise, un SIG expérimental de contrôle des exploitations agricoles : l'Oise expérimente une procédure contrôlant les déclarations de mise en jachère / M.P. Olphand in Géomètre, vol 1998 n° 1 (janvier 1998)PermalinkProceedings of the first international conference [of] Geospatial information in agriculture and forestry: Decision support, technology and applications, Lake Buena Vista, Florida, 1-3 June 1998, 1. Tome 1 / ERIM international (1998)PermalinkProceedings of the first international conference [of] Geospatial information in agriculture and forestry: Decision support, technology and applications, Lake Buena Vista, Florida, 1-3 June 1998, 2. Tome 2 / ERIM international (1998)PermalinkRéalisation d'un outil informatique permettant de spatialiser et de visualiser une série d'indicateurs agronomiques imprécis / S. Vernier (1998)PermalinkSAR images and ancillary data in crop species interpretation / Leena Matikainen (1998)PermalinkSecond International workshop on retrieval of bio & geo-physical parameters from SAR data for land applications, ESTEC, Noordwijk, The Netherlands, 21-23 October 1998 / M. Borgeaud (1998)PermalinkUn système d'informations géographiques pour aider à l'élaboration de scénarios de gestion de l'espace / S. Barthes (1998)PermalinkTerre de Tunisie / A. Kammoun (1998)Permalinkn° 222 - 01/03/1997 - Agriculture de précision : cap sur le XXIe [21e] siècle (Bulletin de Perspectives Agricoles) / D. BoisgontierPermalinkPermalinkEspace pastoral / C. Couvez (1997)PermalinkIndicateurs de développement durable / C. Rechatin (1997)PermalinkPropriété, exploitations, territoire / C. Ivanes (1997)PermalinkRegional crop inventories in Europe assisted by remote sensing, 1988-1993 / C. Taylor (1997)PermalinkRessources mondiales / Institut français de l'environnement (1997)Permalink