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Regional crop inventories in Europe assisted by remote sensing, 1988-1993 / C. Taylor (1997)
Titre : Regional crop inventories in Europe assisted by remote sensing, 1988-1993 : Synthesis report of the Mars project, action 1 Type de document : Rapport Auteurs : C. Taylor, Auteur ; C. Sannier, Auteur ; J. Delince, Auteur ; F.J. Gallego, Auteur Editeur : Luxembourg : Office des Publications de l'Union Européenne Année de publication : 1997 Collection : Space Applications Institute Importance : 71 p. Format : 16 x 23 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Agriculture
[Termes IGN] classification
[Termes IGN] Communauté Européenne
[Termes IGN] correction géométrique
[Termes IGN] cultures
[Termes IGN] image Landsat-TM
[Termes IGN] image SPOT XS
[Termes IGN] image SPOT-HRV
[Termes IGN] inventaire
[Termes IGN] télédétection spatialeRésumé : (Auteur) This report is a synthesis of the work, the results and an assessment of the achievements of Action I of the MARS Project. The report consist of this stand-alone executive summary and five additional sections. The first three enlarge on the main elements of the methodology : ground survey, remote sensing and the combination of these using regression. These sections also present a synthesis of the results and comments on their accuracy. Note de contenu : 1. CROP INVENTORY BY GROUND SURVEY
1.1 General Statistical Methodology
1.1.1 Summary of approach at each study site
1.1.2 Sample selection
1.1.3 Direct expansion estimates
1.1.4 Stratification
1.1.5 Example of stratified sample design
1.1.6 Efficiency of stratification
1.2 Application and variations.
1.2.1 Survey design
1.2.2 Field work
1.2.3 Data processing
1.3 Results and Conclusions
1.3.1 Accuracy of area estimates.
1.3.2 Timeliness of results
1.3.3 Efficiency of stratification
1.3.4 Yield estimates
2. SATELLITE REMOTE SENSING
2.1 Achievement of satellite image coverage
2.1.1 Satellite images used for regional inventories
2.1.2 Acquisition of satellite images
2.2 Remote sensing methodology
2.2.1 Fundamental concepts
2.2.2 Technical principles of geometric correction
2.2.3 Estimating the accuracy of geometric transformation
2.2.4 Technical principles of digital classification
2.2.5 Assessing the accuracy of digital classification
2.3 Application and results
2.3.1 Geometric correction
2.3.2 Classification of satellite imagery
2.3.3 Classification accuracy assessment
2.3.4 Timeliness
2.3.5 Yield estimation by remote sensing
3. CROP INVENTORY WITH REMOTE SENSING .
3.1 Methodology
3.1.1 Introduction
3.1.2 Relationship between ground survey and digital classification
3.1.3 The regression estimator
3.1.4 Neostratification imposed by satellite imagery.
3.1.5 Cost benefit of remote sensing
3.1.6 Implementation of the methodology
3.2 Results..
3.2.1 Improvement of estimates of main crop areas
3.2.2 Variation of results across test sites
3.2.3 Improved accuracy of crop area estimates vs. class area
3.2.4 Cost-effectiveness
3.2.5 Comparison with national statistics
3.2.6 Timeliness
3.2.7 Comparison with USDA-NASS results
4. TECHNICAL FACTORS INFLUENCING RESULTS.
4.1 Accuracy of ground surveys
4.2 Success of image coverage
4.3 Quality of geometric correction
4.4 Quality of regression relationships
4.5 Comments on Neostratification
4.6 Relationship between classification accuracy and improvement in precision .
4.7 Effect of different digital classification rulesNuméro de notice : 16739 Affiliation des auteurs : non IGN Nature : Rapport d'étude technique Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=41311 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 16739-01 50.40 Livre Centre de documentation Environnement Disponible