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Wetland classification approaches are reviewed, including Decision Trees, Machine Learning, and object versus pixel-based approaches. ... Digital Surface Models are also being incorporated in geospatial analyses to separate forest and shrub and emergent systems based on vegetation height. ... In general, high accuracy and ultrahigh-resolution imagery are achievable from most UAVs  . ...doi:10.3390/rs13193878 fatcat:e34brsdm2ratfnjhl6lpps632i
This study aimed to examine the potential of convolutional neural networks (CNNs) for the detection of individual trees infested by bark beetles in a multispectral high-resolution dataset acquired by an ... Based on our findings, we conclude that the Nez and Safaugu CNN models are superior to the RF models and transfer learning models for the identification of infested trees and for distinguishing between ... Although the ultrahigh resolution (in cm) may seem beneficial, the artificial mapping unit (the pixel) is much smaller than a crown, making the interpretation of the classified map more complicated and ...doi:10.3390/rs13234768 fatcat:5vcre6ut3je5hbhm5ym3djum7q
and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging ... ., and Drake, V.A., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674 ... ., TGRS April 2019 2234-2248 A Modeling-Based Approach for Soil Frost Detection in the Northern Boreal Forest Region With C-Band SAR. ...doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4