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Remotely sensed datacontrolled forestinventory concept Adelheid WallnerAlata ElatawnehThomas Schneider2017 год

Remotely sensed data controlled forest inventory concept
статья из журнала

Полный текстСтраница публикацииПубликация в OpenAlex
Аннотация: Nowadays, the image of the forest in Germany is changing from monoculture areas to very mixed forests, where individual stands are no longer clearly visible. The objective of this study was to examine the use of remotely sensed data at enterprise level for pre-stratification and sample plot allocation in the planning stage of forest inventories in a very heterogeneous forest. On the basis of RapidEye satellite data and object-based image analysis, a stratified segment-based non-permanent sampling design was developed and evaluated against the results of a permanent systematic sampling design. The relative efficiency (RE) was calculated based on variance estimators for simple random sampling and stratified random sampling for the variable timber volume [m3/ha]. By stratification of the sample designs, we achieved an RE of 1.25 for the systematic sampling and 1.34 with the segment-based sampling design. Based on a targeted standard error of 4.6%, the sampling designs were compared with respect to the required sample size. The stratified segment-based sampling design reduced the number of sample plots compared to the systematic sampling design by 28%. Furthermore, it was shown that the possible reduction of sampling plots leads to a cost saving of 21%.
Год издания: 2017
Авторы: Adelheid Wallner, Alata Elatawneh, Thomas Schneider, Mengistie Kindu, Britta Ossig, Thomas Knoke
Издательство: Taylor & Francis
Источник: European Journal of Remote Sensing
Ключевые слова: Remote Sensing and LiDAR Applications, Remote Sensing in Agriculture, Forest Management and Policy
Другие ссылки: European Journal of Remote Sensing (PDF)
European Journal of Remote Sensing (HTML)
mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (PDF)
mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (HTML)
mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (HTML)