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Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review
2020
Remote Sensing
The highest number of wetland research studies using SAR data came from the USA, Canada and China. ...
Hence, this study provides a systematic meta-analysis based on compilation and analysis of indexed research studies that used SAR for wetland monitoring. ...
Acknowledgments: The financial support was partly provided through the Environment Data Science Initiative of Discovery Challenge Seed Grant at SUNY-ESF. ...
doi:10.3390/rs12142190
fatcat:dcpjgpapbverljsxx6psqbeyxa
Wetlands and Malaria in the Amazon: Guidelines for the Use of Synthetic Aperture Radar Remote-Sensing
2018
International Journal of Environmental Research and Public Health
Malaria transmission is a multi-scale process strongly controlled by environmental factors, and the use of remote-sensing data is suitable for the characterization of its spatial and temporal dynamics. ...
In this study, we highlight the contribution of SAR sensors in the assessment of the relationship between vectors, malaria and the environment in the Amazon region. ...
Acknowledgments: This study was carried out in the frame of several projects: Lept-OI (Léptospirose dans l'Océan Indien, 2012-2015) funded by the FEDER Réunion, TELEPAL (Télédétection pour le PALudisme ...
doi:10.3390/ijerph15030468
pmid:29518988
pmcid:PMC5877013
fatcat:4q7vj5bg6nf47gndt65kopy4bu
Resilience of river deltas in the Anthropocene
2020
Journal of Geophysical Research - Earth Surface
Empirical and numerical models are built using field obser-28 vations and, in turn, model simulations can inform observationists about where to mea-29 sure. ...
a delta channel network needs to be closed such that pre-15 dictions match with independent observations 16 Abstract 17 At a global scale, delta morphologies are subject to rapid change as a result of ...
A diverse array of sensors on satellites provide ways of sensing wetland land-use, 503 suspended-sediment, topography, and their changes in time (Xia, 1998; Klemas, 2013).504 Such data sets have been important ...
doi:10.1029/2019jf005201
fatcat:ymqztfndvjfrbjr5xinl6ecnfy