Efficient implementation of remote sensing image classification can facilitate the extraction of
spatiotemporal information for land use and land cover (LULC) classification. Mapping …

PlanetScope (PL) high-resolution composite base maps have recently become available
within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between …

As the convenient outlet to the Bo Sea and the major region of economic development in the
Yellow River Basin, Shandong Province in China has undergone large changes in land …

Land use, land-use change and forestry (LULUCF) is a greenhouse gas inventory sector
that evaluates greenhouse gas changes in the atmosphere from land use and land-use …

The Qilian Mountains (QLM) are an important ecological barrier in western China. High-
precision land cover data products are the basic data for accurately detecting and evaluating …

Pakistan has an annual deforestation rate of 4.6% which is the second highest in Asia. It has
been described by the Food and Agriculture Organization (FAO) that the deforestation rate …

The upper Yellow River basin over the Tibetan Plateau (TP) is an important ecological
barrier in northwestern China. Effective LULC products that enable the monitoring of …

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 …

High-accuracy, long-time-series and large-scale land classification mapping are essential
for assessing the evolutionary patterns of land systems and developing sustainability …

Large-scale, long time-series, and high-precision land-use mapping is the basis for
assessing the evolution and sustainability of ecosystems in Xilingol, the Inner Mongolia …