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A review on flood management technologies related to image processing and machine learning
Flood management, which involves flood prediction, detection, map**, evacuation, and
relief activities, can be improved via the adoption of state-of-the-art tools and technology …
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) …
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 …
required to inform policy and management in the context of growing human uses of marine …
Very deep convolutional neural networks for complex land cover map** using multispectral remote sensing imagery
Despite recent advances of deep Convolutional Neural Networks (CNNs) in various
computer vision tasks, their potential for classification of multispectral remote sensing …
computer vision tasks, their potential for classification of multispectral remote sensing …
China's wetlands loss to urban expansion
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 …
occurred worldwide due to rapid urbanization. To assess the problem, it is necessary to …
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 …
Wetlands are one of the most important ecosystems that provide a desirable habitat for a
great variety of flora and fauna. Wetland map** and modeling using Earth Observation …
great variety of flora and fauna. Wetland map** and modeling using Earth Observation …
Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery
Wetlands are important ecosystems around the world, although they are degraded due both
to anthropogenic and natural process. Newfoundland is among the richest Canadian …
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 …
thematic land cover information, which is of great significance for complex land cover …
[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 …
Various forms of global change impose compelling needs for timely and reliable information …
Practical guide to measuring wetland carbon pools and fluxes
Wetlands cover a small portion of the world, but have disproportionate influence on global
carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes …
carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes …
A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland
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 …
of both anthropogenic and natural activities. The ability to assess the rate of change to …