Table of Contents
| 1. Models for monitoring the detection of land use change through the classification of urban areas | ||
| Bahaaeddin AlHaddad, Malcolm Burns, Josep Cladera | 7-12 | |
| 2. Noise reduction of NDVI time-series: a robust method based on Savitzky-Golay filter | ||
| Jędrzej Bojanowski, Wanda Kowalik, Zbigniew Bochenek | 13-21 | |
| 3. Multi-criteria spatial analysis of land accessibility for seismic operations | ||
| Jan Burdziej | 23-31 | |
| 4. Quantification of bare soil and its spatio-temporal dynamic using different image classification methods | ||
| Manuel Pulido Fernández, Joaquin Francisco Lavado Contador, Álvaro Gómez Gutiérrez, Francisco Javier Lozano Parra | 33-40 | |
| 5. Analysis of GNSS receiver accuracy in the forest environment | ||
| Natalia Grala, Michał Brach | 41-45 | |
| 6. Remote sensing tools for analyzing state and condition of vegetation | ||
| Anna Jarocińska, Bogdan Zagajewski | 42-53 | |
| 7. Impact of climate change on Petrova Glacier of the Ak-Shyjrak Massif (Kyrgyzstan) using remote sensing data | ||
| Gulzat Kokoeva | 55-61 | |
| 8. The morphological filtering of the remote sensing images for the noise reduction comparing to traditional filters | ||
| Przemysław Kupidura, Magdalena Jakubiak | 63-68 | |
| 9. The concept of the islands extraction in satellite images using mathematical morphology | ||
| Przemysław Kupidura | 69-73 | |
| 10. Land cover classification using multi-temporal MODIS satelite data | ||
| Katarzyna Ewa Lewińska | 75-81 | |
| 11. Classification of morphometric units from digital terrain models: applications in land cover classification | ||
| Francisco Javier Lozano Parra, Álvaro Gómez Gutiérrez, Manuel Pulido Fernández, Joaquin Francisco Lavado Contador | 83-89 | |
| 12. Land-use change analysis in the basin of the Upper Narew river using Landsat data and archival topographic maps | ||
| Sylwia Nasiłowska | 91-98 | |
| 13. Satellite remote sensing for water erosion assessment | ||
| Magdalena Niemiec | 99-106 | |
| 14. Crop classification with neural networks using airborne hyperspectral imagery | ||
| Dawid Olesiuk, Martin Bachmann, Martin Habermeyer, Wieke Heldens, Bogdan Zagajewski | 107-112 | |
| 15. GIS-based assessment of the potential risk of landfill sites on their surrounding environment using Aba-Eku landfill site-Ibadan as a case study | ||
| Opaleye Oluwafemi Akynola | 113-119 | |
| 16. Single tree detection based on airborne LIDAR (ALS) data | ||
| Krzysztof Stereńczak | 121-126 | |
| 17. Improving unsupervised classification of forest types throught the use of spectral indices | ||
| Piotr Stępniewski, Krzysztof Będkowski | 127-132 | |
| 18. Determining the number of trees using airborne laser scanning and true orthoimagery | ||
| Piotr Tompalski, Piotr Wężyk, Roeland Kok, Mateusz Kukawski | 133-141 | |
| 19. Application of UAV in polish forestry to acquire image data | ||
| Anna Zmarz | 143-146 | |
| 20. Geomatic technologies research and education at the Forestry Faculty of Warsaw University of Life Sciences | ||
| Wiktor Tracz, Joanna Adamczyk | 147-149 | |