A review on flood management technologies related to image processing and machine learning

HS Munawar, AWA Hammad, ST Waller - Automation in Construction, 2021 - Elsevier
Flood management, which involves flood prediction, detection, mapping, evacuation, and
relief activities, can be improved via the adoption of state-of-the-art tools and technology …

Advancing marine biological observations and data requirements of the complementary essential ocean variables (EOVs) and essential biodiversity variables (EBVs) …

FE Muller-Karger, P Miloslavich, NJ Bax… - Frontiers in Marine …, 2018 - frontiersin.org
Measurements of the status and trends of key indicators for the ocean and marine life are
required to inform policy and management in the context of growing human uses of marine …

Very deep convolutional neural networks for complex land cover mapping using multispectral remote sensing imagery

M Mahdianpari, B Salehi, M Rezaee… - Remote Sensing, 2018 - mdpi.com
Despite recent advances of deep Convolutional Neural Networks (CNNs) in various
computer vision tasks, their potential for classification of multispectral remote sensing …

The first wetland inventory map of newfoundland at a spatial resolution of 10 m using sentinel-1 and sentinel-2 data on the google earth engine cloud computing …

M Mahdianpari, B Salehi, F Mohammadimanesh… - Remote Sensing, 2018 - mdpi.com
Wetlands are one of the most important ecosystems that provide a desirable habitat for a
great variety of flora and fauna. Wetland mapping and modeling using Earth Observation …

China's wetlands loss to urban expansion

D Mao, Z Wang, J Wu, B Wu, Y Zeng… - Land degradation & …, 2018 - Wiley Online Library
Humans benefit from multiple ecosystem services of wetlands, but massive wetland loss has
occurred worldwide due to rapid urbanization. To assess the problem, it is necessary to …

Do geographically isolated wetlands influence landscape functions?

MJ Cohen, IF Creed, L Alexander… - Proceedings of the …, 2016 - National Acad Sciences
Geographically isolated wetlands (GIWs), those surrounded by uplands, exchange
materials, energy, and organisms with other elements in hydrological and habitat networks …

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 …

A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland

M Mahdianpari, H Jafarzadeh, JE Granger… - GIScience & Remote …, 2020 - Taylor & Francis
Wetlands across Canada have been, and continue to be, lost or altered under the influence
of both anthropogenic and natural activities. The ability to assess the rate of change to …

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 …