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This open access book develops a theoretical concept of teaching
that is relevant to early childhood education, and based on
children's learning and development through play. It discusses
theoretical premises and research on playing and learning, and
proposes the development of play-responsive didaktik. It examines
the processes and products of learning and development, teaching
and its phylogenetic and ontogenetic development, as well as the
'what' of learning and didaktik. Next, it explores the actions,
objects and meaning of play and provides insight into the diversity
of beliefs about the practices of play. The book presents ideas on
how combined research and development projects can be carried out,
providing incentive and a model for practice development and
research. The second part of the book consists of empirical studies
on teacher's playing skills and examples of play with very young as
well as older children.
Analysis of data from imaging spectrometers to determine vegetation
parameters is a new and emerging field of science. Hyperspectral
remote sensing using field spectra, HyMap and Hyperion images are
here used to study the feed quality of pastures. Both environmental
and economical benefits can be achieved from predictive
relationships between hyperspectral data and pasture quality
parameters. The research described in this book provides
assessments of different analysis methods, including advantages and
limitations of different approaches as well as recommendations for
future investigations. The work was carried out at three study
sites in Victoria, Australia. Results show that there is a clear
potential for hyperspectral remote sensing to provide important
inputs to management decision system as pasture quality is the
third crucial component needed after biomass and growth rate. The
book gives both a thourough background to hyperspectral analysis of
vegetation to date and a comprehensive introduction to
hyperspectral remote sensing of pastures. It should therefore be
very of great interest to both students and professionals in the
fields of remote sensing and agronomy.
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