APPLICATION OF REMOTE SENSING
Ключевые слова:
Remote sensing; Satellite imagery; UAV; Machine learning; Land-cover classification; Crop-yield estimation; Sentinel-2; Google Earth Engine; Vegetation indices; Accuracy assessmentАннотация
Remote sensing has matured from a niche data-collection technique into a cornerstone of Earth-system science, environmental management and socio-economic planning. The ability to capture synoptic, multi-temporal and multi-spectral observations from satellites, aircraft and uncrewed aerial vehicles (UAVs) underpins applications that range from precision agriculture and disaster response to greenhouse-gas accounting and epidemiological modelling. This study synthesises theoretical foundations, recent technological advances and practical case studies to illustrate the breadth of remote-sensing applications..
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