Assessing soil water repellency spatial variability using a thermographic technique: An exploratory study using a small-scale laboratory soil flume
1 February 2018

Accuracy Assessment on Unmanned Aerial System Derived Digital Surface Models

Field experience for 3D reconstruction have been summarized in the recent manuscript entitled “Accuracy Assessment on Unmanned Aerial System Derived Digital Surface Models”. The manuscript is now available as a preprint at the following link: https://www.preprints.org/manuscript/201809.0579/v1.

 

Salvatore Manfreda
Author: Salvatore Manfreda

Salvatore Manfreda received his Ph.D. in Environmental Monitoring and Modeling in 2004. He started his career as researcher associate at Princeton University (2004-2005), became Assistant Professor in 2008, and Associate Professor in Hydraulic Constructions and Hydrology in 2014 at the University of Basilicata. He has a broad interest in hydrology and ecohydrology, with particular emphasis on distributed modeling, flood prediction, stochastic processes in hydrology, soil moisture process, delineation of flood prone areas, mathematical filters and vegetation patterns. His research activity has produced more than 120 publications.

Attachments

# File Description Date added Added by File size Downloads
1 pdf UAS-derived DSMs Manfreda, S.; Dvorak, P.; Mullerova, J.; Herban, S.; Vuono, P.; Arranz Justel, J.J.; Perks, M. Accuracy Assessment on Unmanned Aerial System Derived Digital Surface Models. Preprints 2018, 2018090579 (doi: 10.20944/preprints201809.0579.v1).
29 September 2018 16:22 Salvatore Manfreda 1 MB 182