Analysis of rapideye imagery for annual landcover mapping as an AID to european union (EU) common agricultural policy

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue , 2010, Pages 568-573

  Tapsall, Brooke ^a   Milenov, Pavel ^a   Taşdemir, Kadim ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

Agriculture; Change detection; Classification; Farming; GIS; Land cover; Modelling; Monitoring

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONFORMAL MAPPING; GEOGRAPHIC INFORMATION SYSTEMS; MAPPING; MODELS; MONITORING; REGIONAL PLANNING; REMOTE SENSING; RURAL AREAS; SELF ORGANIZING MAPS; SUSTAINABLE DEVELOPMENT;

AGRICULTURAL MONITORING; CHANGE DETECTION; COMMON AGRICULTURAL POLICY; FARMING; GROUND SAMPLING DISTANCES; LAND COVER; LAND COVER IDENTIFICATIONS; OBJECT-ORIENTED ANALYSIS;

AGRICULTURE;

EID: 84924021950     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Gamanya, R., Maeyera, P. D. and Dappera, M. D., 2007. An automated satellite image classification design using object-oriented segmentation algorithms: A move towards standardization. Expert Systems with Applications 32(2), pp. 616-662.
2. Gitelson, A. A., Merzyak, M. N. and Lichtenthaler, H., 1996. Detection of red edge position and chlorophyll content by reflectance measurements near 700 nm. Journal of Plant Physiology.
3. Haboudane, D., Miller, J. R., Tremblay, N., Zarco-Tejada, P. J. and Dextraze, L., 2002. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture. Remote Sensing of Environment 81(2), pp. 416-426.
4. Kohonen, T., 1997. Self-Organizing Maps. 2nd edn, Springer-Verlag Berlin Heidelberg.
5. Mathieul, R. and Aryal, J., 2005. Object-oriented classification and ikonos multispectral imagery for mapping vegetation communities in urban areas. In: The 17th Annual Colloquium of the Spatial Information Research Centre (SIRC-2005), University of Otago, Dunedin, New Zealand, November.
6. Milenova, L., Nedkov, R., Vassilev, V., Milenov, P., Radkov, R. and Pironkova, Z., 2001. Preparation of land cover database of Bulgaria through remote sensing and GIS, Carlo Travaglia FAO. Technical report, Environment and Natural Resources Service, Sustainable Development Department Food and Agriculture Organization of the United Nations.
7. Taşdemir, K. and Meŕenyi, E., 2009. Exploiting data topology in visualization and clustering of Self-Organizing Maps. IEEE Transactions on Neural Networks 20(4), pp. 549-562.
8. Taşdemir, K. and Milenov, P., 2010. An automated SOM clustering based on data topology. In: Proc. 18th European Symposium on Artificial Neural Networks (ESANN'10), Bruges, Belgium, D-Facto, April 28-30, pp. 375-380.
9. Vinal, A. and Gitelson, A. A., 2005. New developments in the remote estimation of the fraction of absorbed hotosynthetically active radiation in crops. Geophysical Research Letters.
10. Wu, C., Niu, Z., Tang, Q., Huang, W., Rivard, B. and Feng, J., 2009. Remote estimation of gross primary production in wheat using chlorophyllrelated vegetation indices. Agricultural and ForestMeteorology 149(6-7), pp. 1015 - 1021.