Regenerating boreal forest structure estimation using SPOT‐5 pan‐sharpened imagery

Predicting forest structural parameters using the image texture derived from WorldView-2 multispectral imagery in a dryland forest, Israel

“…Therefore, only two most related studies investigated mainly traditional forest structural parameters were cited here. The similar findings were reported by Wunderle et al (2007), where the stand structural index derived by principal components analysis over the typical stand field measurements including diameter at breast height, crown diameter, stem density, and basal area was predicted using image texture derived from pan-sharpened SPOT imagery and stepwise regression analysis (R 2 = 0.79). Our study also supports the findings of the research conducted by Kayitakire et al (2006).…”

Prediction of stand quality characteristics in sweet chestnut forests in NW Spain by combining terrain attributes, spectral textural features and landscape metrics

“…In this case, this feature may indicate either a low effect of the spatial domain in the spectral response of the high quality stands or simply that the image resolution or the window dimensions were not able to capture local variations in the texture. In fact, previous studies used finer image resolutions to discriminate forest stand structure Kayitakire et al, 2006;Wunderle et al, 2007), whereas in other cases medium resolution imagery such as Landsat TM/ETM+ or SPOT4 was sufficient for discrimination of forest stand characteristics (Cohen and Goward, 2004;Hansen et al, 2001) depending on crown dimensions and density. Therefore, it may be advisable in future research to test texture features from finer resolution images, as some potential texture predictors may have been rejected by the model due to a lack of quality/resolution rather than a lack of causal association (Zerger et al, 2009).…”

Monitoring forest structure at landscape level: a case study of Scots pine forest in NE Turkey

“…The availability of high resolution satellite imaging, such as IKONOS and SPOT 5, provides an opportunity to recognize ground features (Warren and Collins 2007). The spatial and spectral resolution of Landsat Thematic Mapper images, however, provide necessary means for mapping and monitoring land cover at landscape level (Wunderle et al 2007). The alliance between remote sensing techniques and biophysical indicators could be a valuable means to study on diagnosis and monitoring, especially in threatened habitats (according to Bern Convention) such as steppe coniferous forest in Yalnızçam, Turkey.…”