Abstract Google Earth Engine (GEE) is a cloud-based geospatial processing platform for
large-scale environmental monitoring and analysis. The free-to-use GEE platform provides …

Several machine-learning algorithms have been proposed for remote sensing image
classification during the past two decades. Among these machine learning algorithms …

Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …

Despite recent advances of deep Convolutional Neural Networks (CNNs) in various
computer vision tasks, their potential for classification of multispectral remote sensing …

The sustainable management of natural heritage is presently considered a global strategic
issue. Owing to the ever-growing availability of free data and software, remote sensing (RS) …

The monitoring of coastal wetlands is of great importance to the protection of marine and
terrestrial ecosystems. However, due to the complex environment, severe vegetation …

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 …

Due to rich spectral and spatial information, the combination of hyperspectral and
multispectral images (MSIs) has been widely used for Earth observation, such as wetland …

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 …

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 …