M. Kalacska

The paper develops models to predict leaf traits from reflectance spectra across functional groups and ecosystems, finding high accuracy for some traits but lower for others.

This paper compares land cover classifications from multiple remote sensing datasets in the Xingu river basin over three decades, highlighting large discrepancies in forest and water area estimates.

The paper uses remote sensing to assess habitat loss and its impact on the endemic cichlid Limbochromis robertsi in Ghana.