Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …

Vegetation cover change is one of the key indicators used for monitoring environmental
quality. It can accurately reflect changes in hydrology, climate, and human activities …

Land-cover (LC) mapping in a morphologically heterogeneous landscape area is a
challenging task since various LC classes (eg, crop types in agricultural areas) are …

This paper evaluates the ability of two machine learning algorithms, Random Forest (RF)
and Support Vector Machine (SVM), to generate land-use maps using the recently launched …

Optical satellite imagery with high temporal and spatial resolution, such as acquired by
Sentinel-2, is increasingly becoming available and is used to derive maps of tree species …

The availability of an unprecedented amount of open remote sensing data, such as Sentinel-
1 and-2 data within the Copernicus program, has boosted the idea of combining the use of …

Crop classification is a crucial prerequisite for the collection of agricultural statistics, efficient
crop management, biodiversity control, the design of agricultural policy, and food security …

The fast and accurate yield estimates with the increasing availability and variety of global
satellite products and the rapid development of new algorithms remain a goal for precision …

Land use and land cover (LULC) information is a fundamental component of environmental
research relating to urban planning, agricultural sustainability, and natural hazards …

A red edge band is a sensitive spectral band of crops, which helps to improve the accuracy
of crop classification. In view of the characteristics of GF-6 WFV data with multiple red edge …