# Remote Sensing and Machine Learning Tools to Support
## Abbreviations
[CrossRef]
* (101) [PERSON]; [PERSON]; [PERSON] Tropical Forest and Wetland Losses and the Role of Protected Areas in Northwestern Belize, Revealed from Landsat and Machine Learning. _Remote Sens._**2021,** _13_, 379. [CrossRef]
* (102) [PERSON]; [PERSON] Monitoring of Wetland Changes Affected by Drought Using Four Landsat Satellite Data and Fuzzy ARTMAP Classification Method (Case Study Hamoun Wetland, Iran). _Arab. J. Geosci._**2021,** _14_, 1363. [CrossRef]
* (103) [PERSON]; [PERSON]; [PERSON] Conversion of Natural Wetland to Farmland in the Tumen River Basin: Human and Environmental Factors. _Remote Sens._**2021,** _13_, 3498. [CrossRef]
* (104) [PERSON], [PERSON]; [PERSON]; [PERSON]; [PERSON] Wetland Classification Using Deep Convolutional Neural Network. In Proceedings of the IGARSS 2018--2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, 22-27 July 2018; pp. 9249-9252. * (105) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery. _IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens._**2018,** _11_, 3030-3039. [CrossRef]
* (106) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Fisher Linear Discriminant Analysis of Coherency Matrix for Wetland Classification Using PolSAR Imagery. _Remote Sens. Environ._**2018,** _206_, 300-317. [CrossRef]
* (107) [PERSON]; [PERSON]; [PERSON]; [PERSON] Construction of a New Classifier Integrated Multiple Sources and Multi-Temporal Remote Sensing Data for Wetlands. _Procedia Environ. Sci._**2010,** \(2\), 302-314. [CrossRef]
* (108) [PERSON]; [PERSON]; [PERSON]; [PERSON] Investigating the Capability of Thermal-Moisture Indices Extracted from MODIS Data in Classification and Trend in Wetlands. _J. Indian Soc. Remote Sens._**2021,** _49_, 2583-2596. [CrossRef]
* (109) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Dynamic Monitoring of Wetland Cover Changes Using Time-Series Remote Sensing Imagery. _Ecol. Inform._**2014,** _24_, 17-26. [CrossRef]
* (110) [PERSON]; [PERSON]; [PERSON]; [PERSON] Wetlands Mapping in North America by Decision Rule Classification Using MODIS and Ancillary Data. _IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens._**2013,** \(6\), 2391-2401. [CrossRef]
* (111) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Exploring Wetland Dynamics in Large River Floodplain Systems with Unsupervised Machine Learning: A Case Study of the Dongting Lake, China. _Remote Sens._**2020,** _12_, 2995. [CrossRef]
* (112) [PERSON]; [PERSON] Mapping Phragmites Cover Using WorldView 2/3 and Sentinel 2 Images at Lake Erie Wetlands, Canada. _Biol. Inrouss_**2021,** _23_, 1231-1247. [CrossRef]
* (113) [PERSON]; [PERSON]; [PERSON] Improving Image Classification in a Complex Wetland Ecosystem through Image Fusion Techniques. _J. Appl. Remote Sens._**2014,** \(8\), 083616. [CrossRef]
* (114) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Mapping Invasive Wetland Plants in the Hudson River National Estuarine Research Reserve Using Quickbird Satellite Imagery. _Remote Sens. Environ._**2008,** _112_, 286-300. [CrossRef]
* (115) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Land Cover Classification of Huixian Wetland Based on SAR and Optical Image Fusion. In Proceedings of the 2020 IEEE 3 rd International Conference on Information Communication and Signal Processing (ICICSP), Shanghai, China, 12-15 September 2020; pp. 316-320. * (116) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Identification of Native and Invasive Vegetation Communities in a Tidal Flat Wetland Using Gaofen-1 Imagery. _Wetlands_**2021,** _41_, 46. [CrossRef]
* (117) [PERSON]; [PERSON]; [PERSON] GF-1 and Landsat Observed a 40-Year Wetland Spatiotemporal Variation and Its Coupled Environmental Factors in Yangtze River Estuary. _Estuar. Cosl. Shelf Sci._**2018,** _207_, 30-39.