Estimation of Surface Canopy Water in Pacific Northwest Forests by Fusing Radar, Lidar, and Meteorological Data

Surface Canopy Water (SCW) is the intercepted rain water that resides within tree canopy and plays a significant role in hydrological cycle. Challenges arise measuring SCW remote areas using traditional ground-based techniques. Remote sensing radio spectrum has potential to overcome challenges where modelling approaches face difficulties. In this study, we aim at estimating by fusing information extracted from radar imagery acquired with Sentinel-1 constellation, aerial laser scanning, meteorological data. To describe change of backscatter moisture, focused on six forest stands H.J. Andrews experimental central Oregon, as well four clear cut one golf course, over summers 2015–2017. We found relationships when executed analysis images which individual crowns were delineated lidar, opposed estimated pixel backscatter. Significant differences occur mean between taken during vs. dry periods (no for >1 h), but these effects only last roughly 30 min after end event. developed predictive model dawn, proved capability space-based systems provide estimation moisture under conditions fresh rainfall season.