Volume XXXIX-B8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 409-411, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B8-409-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B8, 409-411, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B8-409-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  30 Jul 2012

30 Jul 2012

INVESTIGATING THE CAPABILITY OF IRS-P6-LISS IV SATELLITE IMAGE FOR PISTACHIO FORESTS DENSITY MAPPING (CASE STUDY: NORTHEAST OF IRAN)

F. Hoseini1, A. A. Darvishsefat2, and N. Zargham3 F. Hoseini et al.
  • 1MSc Graduated, Faculty of Natural Resources, University of Tehran, Iran
  • 2Prof., Faculty of Natural Resources, University of Tehran, Iran
  • 3Associate Prof., Faculty of Natural Resources, University of Tehran, Iran

Keywords: IRS-P6-LISS IV, Ground Truth, Pistachio Forests, Forest Density, Iran

Abstract. In order to investigate the capability of satellite images for Pistachio forests density mapping, IRS-P6-LISS IV data were analyzed in an area of 500 ha in Iran. After geometric correction, suitable training areas were determined based on fieldwork. Suitable spectral transformations like NDVI, PVI and PCA were performed. A ground truth map included of 34 plots (each plot 1 ha) were prepared. Hard and soft supervised classifications were performed with 5 density classes (0–5%, 5–10%, 10–15%, 15–20% and > 20%). Because of low separability of classes, some classes were merged and classifications were repeated with 3 classes. Finally, the highest overall accuracy and kappa coefficient of 70% and 0.44, respectively, were obtained with three classes (0–5%, 5–20%, and > 20%) by fuzzy classifier. Considering the low kappa value obtained, it could be concluded that the result of the classification was not desirable. Therefore, this approach is not appropriate for operational mapping of these valuable Pistachio forests.