Abstract
In Iran, forest inventory information has been essential with respect to land management because 10% of Iran is composed of forests. Therefore, accurate forest information such as tree counts, height, DBH, and volume are critical for forest management. While such data traditionally have required labor intensive and time consuming field measurement, new technologies such as remote sensing have supplemented and supplanted some of these field measurements. Although different types of sensors have been used to extract individual trees information, WorldView-2 (WV-2) has been used recently to extract surface information because WV-2 have high spatial and spectral resolution. In this study, object base classifiers (with KNN way) were used to classify WV-2 satellite and do assessment accuracy with UAV image in study sites. the study indicate that the classification accuracy of Objectbased algorithm was best for extraction of dry trees. This study is conducted to evaluate the possibility of WV-2 data to extract forest characteristics from identifying and measuring individual trees. Our results demonstrate that WV-2 data, NDVI with object-based classification can be used to detect tree mortality resulting from numerous causes and in several forest cover types.
Highlights
Forest inventory is traditionally a useful and accurate way of monitoring forest coverage, but it is very expensive and its updating cycle is relatively expensive because of its cost [1-3]
The base object method is well characterized by dry trees (Figure 4)
The observed complexity between dry forest levels and living vegetation is due to the presence of shoots and vegetation regenerations in the forest floor at these levels, which leads to mistakes in the identification of dry trees
Summary
Forest inventory is traditionally a useful and accurate way of monitoring forest coverage, but it is very expensive and its updating cycle is relatively expensive because of its cost [1-3]. Wide range of forest can be rapid changes, forest inventory traditionally does not respond adequately to the development of change [4]. Climate warming and recent severe droughts have resulted in vegetation mortality in various woody biomes across the globe [5-9]. The outbreak of insects requires a quick way to monitor forestry. As soon as information is provided, monitoring and reducing activities can be effectively implemented. Because insects, with their effects, change the spectral response pattern of trees and allow us to monitor forest disturbances using remote sensing data [10,11]
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