Abstract: The effect of seasonal and weather conditions to the separability of land cover classes were studied using ERS SAR intensity and coherence images.

The effect of seasonal and weather conditions to the separability of land cover classes were studied using ERS SAR intensity and coherence images.

Törmä, M., & Engdahl, M. (2003). The Effect of Seasonal and Weather Conditions to Land Cover Class Separability in ERS Radar Data. (International Geoscience and ...

The effect of seasonal and weather conditions to the separability of land cover classes were studied using ERS SAR intensity and coherence images.

Radar vegetation indices (RVIs), developed based on microwave remote-sensing data, describe the dielectric properties and morphological structure of vegetation.

... seasonal effect (in our data the dry conditions occurred during the rainy season, but the wet conditions occurred during the dry season). Even a small ...

Radar Backscattering over Different Land-cover Classes. For the purpose of analyzing seasonal backscattering changes, we split a typical year into two seasons.

The objective of this research was to investigate the impact of seasonality on urban land-cover mapping and to explore better classification accuracy by ...

In this study, we have demonstrated that variations in hydrologic conditions result in very large variations in radar backscatter from wetlands in southern ...

In this study, we analyze Sentinel-1 time series data to characterize the observed seasonality of different land cover classes in eastern.