# Remote Sensing and Machine Learning Tools to Support
## Abbreviations
* _[PERSON] _et al._ (2020)_ _[PERSON]; [PERSON]; [PERSON] Tropical Wetland (TropWet) Mapping Tool: The Automatic Detection of Open and Vegetated Waterbodies in Google Earth Engine for Tropical Wetlands. Remote Sens. **2020**, _12_, 1182. [CrossRef]
* _[PERSON] _et al._ (2022)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON] Sub-Con continental-Scale Mapping of Tidal Wetland Composition for East Asia: A Novel Algorithm Integrating Satellite Tide-Level and Phenological Features. Remote Sens. Environ. **2022**, _269_, 112799. [CrossRef]
* _[PERSON] _et al._ (2022)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Seasonal Inundation Dynamics and Water Balance of the Mara Wetland, Tanzania Based on Multi-Temporal Sentinel-2 Image Classification. Int. J. Appl. Earth Obs. Geoinf. **2022**, _109_, 102766. [CrossRef]
* _[PERSON] _et al._ (2020)_ _[PERSON]; [PERSON] Sentinel-1-Imagery-Based High-Resolution Water Cover Detection on Wetlands, Abide by Google Earth Engine. Remote Sens. **2020**, _12_, 1614. [CrossRef]
* _[PERSON] _et al._ (2022)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Mapping Coastal Wetlands Using Satellite Imagery and Machine Learning in a Highly Urbanized Landscape. Sustainability**2022**, _14_, 5700. [CrossRef]
* _[PERSON] _et al._ (2020)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Mapping Coastal Wetlands of China Using Time Series Landsat Images in 2018 and Google Earth Engine. ISPRS J. Photogramm. Remote Sens. **2020**, _163_, 312-326. [CrossRef] [PubMed]
* _[PERSON] _et al._ (2022)_ _[PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Assessing Degradation of Lake Wetlands in Bashang Plateau, China Based on Long-Term Time Series Landsat Images Using Wetland Degradation Index. Ecol. Indic. **2022**, _139_[PERSON] 108903. [CrossRef]* (172) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Use of Textural Measurements to Map Invasive Wetland Plants in the Hudson River National Estuarine Research Reserve with [PERSON] Satellite Imagery. _Remote Sens. Environ._**2010**, _114_, 876-886[PERSON] [CrossRef]
* (173) [PERSON]; [PERSON] Improved Wetland Remote Sensing in Yellowstone National Park Using Classification Trees to Combine TM Imagery and Ancillary Environmental Data. _Remote Sens. Environ._**2007**, _107_, 582-605. [CrossRef]
* (174) [PERSON]; [PERSON] Towards Operational Monitoring of a Northern Wetland Using Geomatics-Based Techniques. _Remote Sens. Environ._**2005**, _97_, 174-191. [CrossRef]
* (175) [PERSON]; [PERSON]; [PERSON]; [PERSON] Mapping the Dabus Wetlands, Ethiopia, Using Random Forest Classification of Landsat, PALSAR and Topographic Data. _Remote Sens._**2017**, \(9\), 1056. * (176) [PERSON]; [PERSON]; [PERSON]; [PERSON] Object-Based Wetland Classification Using Multi-Feature Combination of Ultra-High Spatial Resolution Multispectral Images. _Can. J. Remote Sens._**2020**, _46_, 784-802. [CrossRef]
* (177) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Synergy of Multi-Temporal Polarimetric SAR and Optical Image Satellite for Mapping of Marsh Vegetation Using Object-Based Random Forest Algorithm. _Ecol. Indic._**2021**, _131_, 108173. [CrossRef]
* (178) [PERSON]; [PERSON]; [PERSON]; [PERSON] Salt Marsh Monitoring in Jamaica Bay, New York from 2003 to 2013: A Decade of Change from Restoration to Hurricane Sandy. _Remote Sens._**2017**, \(9\), 131. [CrossRef]
* (179) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Comparison of Object-Based and Pixel-Based Random Forest Algorithm for Wetland Vegetation Mapping Using High Spatial Resolution GF-1 and SAR Data. _Ecol. Indic._**2017**, _73_, 105-117. [CrossRef]
* (180) [PERSON]; [PERSON]; [PERSON]; [PERSON] A Simple and Robust Wetland Classification Approach by Using Optical Indices, Unsupervised and Supervised Machine Learning Algorithms. _Remote Sens. Appl. Soc. Environ._**2021**, _23_, 100569.