Urban land use information that reflects socio-economic functions and human activities is
critically essential for urban planning, landscape design, environmental management …

Remote sensing, or Earth Observation (EO), is increasingly used to understand Earth system
dynamics and create continuous and categorical maps of biophysical properties and land …

Abstract Global Land Cover (GLC) information is fundamental for environmental change
studies, land resource management, sustainable development, and many other societal …

A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must
for food and water security analysis. Precise and accurate global cropland extent maps …

This study evaluates and compares the performance of four machine learning classifiers—
support vector machine (SVM), normal Bayes (NB), classification and regression tree …

In light of the need for fine-grained, accurate, and timely urban land use information, a per-
field classification approach was proposed in this paper to automatically map fine-grained …

Because deep learning has various downsides, such as complexity, expense, and the need
to wait longer for results, this creates a significant incentive and impetus to invent and adopt …

We are currently living in the era of big data. The volume of collected or archived geospatial
data for land use and land cover (LULC) mapping including remotely sensed satellite …

Research in the field of remote sensing attracts attention among researchers all over the
world. From different remote sensing applications, the problem on Land Use/Land Cover …

Mangrove forests, which are essential for stabilizing coastal ecosystems, have been
suffering from a dramatic decline over the past several decades. Mapping mangrove forests …