This chapter provides an overview of machine learning models and their applications to the science of inland waters. Such models serve a wide range of purposes for science and …
D Yan, J Li, X Yao, Z Luan - IEEE Journal of Selected Topics in …, 2021 - ieeexplore.ieee.org
The overwhelming spread of Spartina alterniflora (S. alterniflora)(smooth cordgrass) over recent decades has put many native plant communities and coastal environments at risk …
DL Fitzgerald, S Peters, GR Guerin, A McGrath… - Land, 2023 - mdpi.com
A disjunct population of red stringybark (Eucalyptus macrorhyncha) trees in South Australia is experiencing increasing amounts of dieback. Because the population is considered …
Salt marsh loss is projected to increase as sea-level rise accelerates with global climate change. Salt marsh loss occurs along both lateral creek and channel edges and in the …
Previous studies in the Gulf of Mexico and Atlantic states have suggested that a suite of possibly abiotic and biotic attributes is responsible for salt marsh dieback, eg, drought, soil …
Determining when a disturbance has occurred, its severity, and when the system recovered, is important to numerous questions in the aquatic sciences. This problem can be …
JL Pinckney - Estuaries and Coasts, 2023 - Springer
Salt pannes are marsh features in the supratidal zone that are devoid of macrophytic vegetation. Although these habitats appear barren, benthic microalgae (BMA) inhabit the …
C Wang - New Thinking in GIScience, 2022 - Springer
Remote sensing collects the primary data for Earth observations. Social sensing especially citizen science offers crowdsourced volunteered geographic information (VGI) as …
This research focused on the Roseau cane (Phragmites australis) dieback assessment in the lower MRD of Louisiana and introduced a comprehensive and systematic multi-source …