Remote sensing for wetland classification: A comprehensive review

S Mahdavi, B Salehi, J Granger, M Amani… - GIScience & remote …, 2018 - Taylor & Francis
Wetlands are valuable natural resources that provide many benefits to the environment.
Therefore, map** wetlands is crucially important. Several review papers on remote …

[HTML][HTML] A collection of SAR methodologies for monitoring wetlands

L White, B Brisco, M Dabboor, A Schmitt, A Pratt - Remote sensing, 2015 - mdpi.com
Wetlands are an important natural resource that requires monitoring. A key step in
environmental monitoring is to map the locations and characteristics of the resource to better …

Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery

M Mahdianpari, B Salehi, F Mohammadimanesh… - ISPRS Journal of …, 2017 - Elsevier
Wetlands are important ecosystems around the world, although they are degraded due both
to anthropogenic and natural process. Newfoundland is among the richest Canadian …

Deep convolutional neural network for complex wetland classification using optical remote sensing imagery

M Rezaee, M Mahdianpari, Y Zhang… - IEEE Journal of …, 2018 - ieeexplore.ieee.org
The synergistic use of spatial features with spectral properties of satellite images enhances
thematic land cover information, which is of great significance for complex land cover …

[HTML][HTML] Automated extraction of surface water extent from Sentinel-1 data

W Huang, B DeVries, C Huang, MW Lang, JW Jones… - Remote Sensing, 2018 - mdpi.com
Accurately quantifying surface water extent in wetlands is critical to understanding their role
in ecosystem processes. However, current regional-to global-scale surface water products …

[HTML][HTML] The challenges of remote monitoring of wetlands

AL Gallant - Remote Sensing, 2015 - mdpi.com
Wetlands are highly productive and support a wide variety of ecosystem goods and services.
Various forms of global change impose compelling needs for timely and reliable information …

Deep learning approach for Sentinel-1 surface water map** leveraging Google Earth Engine

T Mayer, A Poortinga, B Bhandari, AP Nicolau… - ISPRS Open Journal of …, 2021 - Elsevier
Satellite remote sensing plays an important role in map** the location and extent of
surface water. A variety of approaches are available for map** surface water, but deep …

Influence of multi-source and multi-temporal remotely sensed and ancillary data on the accuracy of random forest classification of wetlands in Northern Minnesota

JM Corcoran, JF Knight, AL Gallant - Remote Sensing, 2013 - mdpi.com
Wetland map** at the landscape scale using remotely sensed data requires both
affordable data and an efficient accurate classification method. Random forest classification …

Remote sensing of wetlands: applications and advances

RW Tiner, MW Lang, VV Klemas - 2015 - books.google.com
This book provides a thorough introduction to the use of remotely sensed data for wetland
classification and map**, as well as information on the latest technological advancements …

SAR-based detection of flooded vegetation–a review of characteristics and approaches

V Tsyganskaya, S Martinis, P Marzahn… - International journal of …, 2018 - Taylor & Francis
The ability of synthetic aperture radar (SAR) to detect flooded vegetation (FV)(the temporary
or permanent occurrence of waterbodies underneath vegetated areas) offers a great benefit …