The advancement in satellite remote sensing technology has revolutionised the approaches
to monitoring the Earth's surface. The development of the Copernicus Programme by the …

Forests in Germany cover around 11.4 million hectares and, thus, a share of 32% of
Germany's surface area. Therefore, forests shape the character of the country's cultural …

The unprecedented availability of optical satellite data in cloud-based computing platforms,
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …

Predicting land surface energy budgets requires precise information of land surface
emissivity (LSE) and land surface temperature (LST). LST is one of the essential climate …

Crop height is a key structure parameter for the modelling of crop growth, healthy status,
yield forecasting and biomass estimation. Unmanned aerial vehicle (UAV) LiDAR systems …

Crop lodging assessment is essential for evaluating yield damage and informing crop
management decisions for sustainable agricultural production. While a few studies have …

Chlorophyll is a good indicator of health status and nutritional condition as plant grows.
Many studies have investigated the feasibility of retrieving leaf chlorophyll content (LCC) …

Highlights•The study provides a comprehensive comparison of methods for CCC retrieval
from Sentinel-2 imagery.•The results of the study demonstrate that both the physical-based …

Leaf area index (LAI) is an essential vegetation parameter that represents the light energy
utilization and vegetation canopy structure. As the only in-operation hyperspectral satellite …

Forests are increasingly subject to a number of disturbances that can adversely influence
their health. Remote sensing offers an efficient alternative for assessing and monitoring …