Teaching Cycle 2 - Increasing Student Participation Through Active Learning

The diversity of scales and modes in which ground, airborne and spaceborne LiDAR operate has increased opportunities for quantitatively assessing forest structure, biomass and species composition and obtaining more general ...

For many years, the classification of forest communities and their associated species from airborne data (primarily aerial photography) has largely been through manual interpretation. With the development of digital imagery, ...

This paper outlines research undertaken to assess the ability of textural information, from image filters, to be used alongside hyperspectral data for the classification of broad forest types. The study made use of 2.6 m ...

The use of a non-linear estimation algorithm for retrieving the biomass and structure of vegetation from polarimetric Synthetic Aperture Radar (SAR) data is demonstrated for woody regrowth in Queensland, Australia dominated ...

Solar radiation beneath a forest canopy can have large spatial variations, but this is frequently neglected in radiative transfer models for large-scale applications. To explicitly model spatial variations in subcanopy ...

Aim: To evaluate the use of time-series of Landsat sensor data acquired over an annual cycle for mapping semi-natural habitats and agricultural land cover. Location: Berwyn Mountains, North Wales, United Kingdom. Methods: ...

The Phase 1 Survey is the most comprehensive and widely used national level map of semi-natural habitats in Wales. However, the survey was based largely on field survey and was conducted over several decades, before being ...