Remote sensing of selective logging in tropical forests: current state and future directions

CM Jackson, E Adam
2020 iForest : Biogeosciences and Forestry  
This paper reviews and discusses the status of remote sensing techniques applied in detecting and monitoring selective logging disturbance in tropical forests. The analyses concentrated on the period 1992-2019. Accurate and precise detection of selectively logged sites in a forest is crucial for analyzing the spatial distribution of forest disturbances and degradation. Remote sensing can be used to monitor selective logging activities and associated forest fires over tropical forests, which
more » ... rwise requires labor-intensive and time-consuming field surveys, that are costly and difficult to undertake. The number of studies on remote sensing for selective logging has grown steadily over the years, thus, the need for their review so as to guide forest management practices and current research. A variety of peer reviewed articles are discussed so as to evaluate the applicability and accuracy of different methods in different circumstances. Major challenges with existing approaches are singled out and future needs are discussed. Citation: Jackson CM, Adam E (2020). Remote sensing of selective logging in tropical forests: current state and future directions. iForest 13: 286-300. -doi: 10.3832/ifor3301-013 [online 2020-07-10] Sensor The sensor type used in the study. Platform The platform of the sensor, i.e., space-borne, air-borne, or un-manned aerial vehicle. Spatial properties The sensor resolution used: coarse resolution (>100 m), medium resolution (10-100 m), high resolution (5-10 m) and very high resolution (<5 m); spatial scale of the studies. Temporal properties The temporal resolution of the sensor, and temporal scale of the remote sensing data (single date, bi-temporal, multi-temporal, or time series analysis), and sensor archive. Spectral properties The spectral properties used in the analysis: Vegetation Index (if a single vegetation index or band was used, then the index name was noted), Multi (if multi-spectral bands or multiple spectral indices were used), Hyper (if hyper-spectral bands or multiple narrow-band indices were used), Lidar, and SAR. Techniques The techniques employing satellite data used to detect and quantify selective logging. Accuracy measure The measure of accuracy reported in the study. If more than one measure was used, this review preferred overall accuracy over producer's and user's accuracies, and the coefficient of determination (R 2 ) over the root mean square error (RMSE), respectively. Accuracy Level of accuracy, according to accuracy measure. iForest -Biogeosciences and Forestry
doi:10.3832/ifor3301-013 fatcat:ee4nhiefkzculcn77wdlo66bry