Earth-observing satellites have become essential in comprehending human impacts on the
landscape. Satellite-based imagery is indispensable for mapping Earth's features, managing …

As urban populations grow, the demand for new infrastructure intensifies. However, some
builders often neglect to obtain necessary permits, resulting in unstable structures that …

In recent years, a growing number of sensors that provide imagery with constantly
increasing spatial resolution are being placed on the orbit. Contemporary Very-High …

Individual tree detection and counting in unmanned aerial vehicle (UAV) imagery constitute
a vital and practical research field. Vegetation remote sensing captures large-scale trees …

The land use land cover (LULC) map is extensively employed for different purposes.
Machine learning (ML) algorithms applied in remote sensing (RS) data have been proven …

This study provides the methodology for the development of sustainable forest management
activities and systematic strategies using national spatial data, satellite imagery, and a …

This study aimed to develop a remote sensing method for estimating the aboveground fresh
weight (AGFW) of sugarcane using multispectral images and light detection and ranging …

Solar power generation is an effective way to reduce carbon emissions and has a wide
range of applications worldwide. China's newly installed photovoltaic capacity has ranked …

The application scenarios of object detection models are constantly changing, due to the
alternation of day and night and weather changes. Detector often suffers from the scarcity of …

In this chapter, we discuss implications of geodata integration in the context of object-based
image analysis (OBIA) and geospatial information update under an interdisciplinary …