Estimation of Basal Area in West Oak Forests of Iran Using Remote Sensing Imagery

The objective of this study is to evaluate the capability of satellite imagery for the estimation of basal area in Northern Zagros Forests. The data of the high resolution geometric (HRG) sensor of SPOT-5 satellite dated in July 2005 were used. Investigation of the quality of Satellite images shows that these images have no radiometric distortion. Overlaying of geocoded images with the digital topographic maps indicated that the images have high geometric precision. A number of 319 circular plots (0.1 ha) were established using systematic random method in the study area. All trees having diameter at breast height (DBH) (i.e. 1.3 m above ground) greater than 5 cm were callipered in each plot. Basal area in each plot was determined using field data. Main bands, artificial bands such as vegetation indices and principle component analysis (PCA) were studied. Digital numbers related to each plot were extracted from original and artificial bands. All plots were ordinated by major geographic aspects and the best fitted regression models were determined for both the study area without consideration of aspects and with consideration of major geographic aspects by multiple regression analysis (step wise regression). The results from regression analysis indicated that the square root of basal area without consideration of aspects has a high correlation with band B1 (r = –0.60). The consideration of aspects resulted in correlation of different indices with square root of basal area such that in northern forests, band B1 had higher correlation coefficient(r = –0.67) among other indices. In Eastern forests, the same band showed correlation of basal area with different correlation coefficient (r = –0.65). In southern and western forests, the square root of basal area had higher correlation (r = –0.68) with RVI. The use of the square root of basal area as a dependent variable in multivariate linear regression improved the results. The assessment of model validity indicated that the proposed models are properly valid.

• Publication year

  2012

• Venue

  International Journal of Geosciences

• Publication date

  2012-05-23

• Fields of study

  Mathematics, Environmental Science

• Identifiers
  DOI 10.4236/IJG.2012.32044
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• FOREST STAND VOLUME ESTIMATION USING SATELLITE IRS_P6 (LISS_IV) DATA (CASE STUDY: LIREHSAR, TONEKABON)

  2010cited by this paper
• The use of remote sensing techniques in operational forestry

  2006cited by this paper
• Estimation of tree canopy cover in evergreen oak woodlands using remote sensing

  2006cited by this paper
• A comparison of SPOT and Landsat-TM data for use in conducting inventories of forest resources

  1992cited by this paper
• A preliminary comparison of Landsat Thematic Mapper and SPOT-1 HRV multispectral data for estimating coniferous forest volume

  1991cited by this paper
• Thematic mapper analysis of coniferous forest structure and composition

  1986cited by this paper
• Forest Biometry

  1962cited by this paper

• A hybrid approach of remote sensing for mapping vegetation biodiversity in a tropical rainforest

  2020cites this paper
• Modeling forest stand parameters using remote sensing images and topographic information

  2020cites this paper
• Remote Sensing and Geostatistics Applied to Post-stratification of Eucalyptus Stands

  2018cites this paper
• TREE AGE AS ADJUSTMENT FACTOR TO NDVI

  2018cites this paper
• Tree age as adjustment factor to ndvi TREE AGE AS ADJUSTMENT FACTOR TO NDVI

  2018cites this paper
• Can tree species diversity be assessed with Landsat data in a temperate forest?

  2017cites this paper
• 1 Estimation of Forest Stand Parameters Using SPOT-5 2 Satellite Images and Topographic Information 3

  2017cites this paper
• Forest Area Estimation in Kutai Nasional Park of East Kalimantan Using Computer System Aplication based Genetic Algorithm-Support Vector Machine

  2016cites this paper
• Cryptographic Hash Function using Cellular Automata

  2016cites this paper
• Combination of SVM-GA Method based Forest Area Estimation in Kutai National Park of East Borneo

  2015cites this paper
• Modelling of stand volume and tree density using Spot-4 satellite image: a case study in Devrez planning unit

  2015cites this paper
• Estimation of Alpine Forest Structural Variables from Imaging Spectrometer Data

  2015cites this paper
• Determination of suitable sampling methods for study of canopy cover in the Oak Forest

  2013cites this paper
• Evaluation of different sampling method to study of Diameter at Breath Height in the Zagros forest

  2013cites this paper
• Modeling Some Stand Parameters using Vegetation Indices based on Landsat ETM+ in Ayancık-Goldag planning unit, TURKEY

  2013cites this paper