Physical Sciences and Mathematics Commons^™

Using Sentinel-2 Imagery And Machine Learning Algorithms To Assess The Inundation Status Of Nebraska Conservation Easements During 2018–2021, Ligang Zhang, University Of Nebraska-Lincoln, Zhenghong Tang

School of Natural Resources: Faculty Publications

Conservation easements (CEs) play an important role in the provision of ecological services. This paper aims to use the open-access Sentinel-2 satellites to advance existing conservation management capacity to a new level of near-real-time monitoring and assessment for the conservation easements in Nebraska. This research uses machine learning and Google Earth Engine to classify inundation status using Sentinel-2 imagery during 2018–2021 for all CE sites in Nebraska, USA. The proposed machine learning approach helps monitor the CE sites at the landscape scale in an efficient and low-cost manner. The results confirmed effective inundation performance in these floodplain or wetland-related CE …