TY  - JOUR
A1  - Latifi, Hooman
A1  - Heurich, Marco
T1  - Multi-scale remote sensing-assisted forest inventory: a glimpse of the state-of-the-art and future prospects
T2  - Remote Sensing
N2  - Advances in remote inventory and analysis of forest resources during the last decade have reached a level to be now considered as a crucial complement, if not a surrogate, to the long-existing field-based methods. This is mostly reflected in not only the use of multiple-band new active and passive remote sensing data for forest inventory, but also in the methodic and algorithmic developments and/or adoptions that aim at maximizing the predictive or calibration performances, thereby minimizing both random and systematic errors, in particular for multi-scale spatial domains. With this in mind, this editorial note wraps up the recently-published Remote Sensing special issue “Remote Sensing-Based Forest Inventories from Landscape to Global Scale”, which hosted a set of state-of-the-art experiments on remotely sensed inventory of forest resources conducted by a number of prominent researchers worldwide.
KW  - remote sensing
KW  - forest resources inventory
KW  - spatial scale
Y1  - 2019
UR  - https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/19735
UR  - https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-197358
SN  - 2072-4292
VL  - 11
IS  - 11
ER  -