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This book is a compilation of six papers that provide some valuable information about mapping and monitoring forest cover using remotely sensed imagery. Examples include mapping large areas of forest, evaluating forest change over time, combining remotely sensed imagery with ground inventory information, and mapping forest characteristics from very high spatial resolution data. Together, these results demonstrate effective techniques for effectively learning more about our very important forest resources.

unmanned aerial systems --- canopy height model --- individual tree crown --- segmentation --- forest cover map --- national forest inventory --- aerial images --- Sentinel-2 --- multisensory approach --- forest monitoring --- remote sensing --- forest sampling --- inventory efficiency --- Forest Inventory and Analysis --- forest change --- degradation --- regeneration --- geospatial–temporal analysis --- trend --- Juniperus --- above-ground biomass --- land-use --- allometric equation --- satellite remote sensing --- land cover classification --- NDVI --- vegetation --- Savitzky–Golay filtering --- spatial and temporal analysis --- Ruoergai area --- n/a --- geospatial-temporal analysis --- Savitzky-Golay filtering