It also requires increased emphasis on in situ and remotely sensed observations and experiments to initialize and test the model, and to track trends in forest condition.
Increasing availability of remotely sensed observations and a variety of other geospatial information could facilitate the development of new tools and approaches for understanding the urban environment.
Phenology is also a first-order control on terrestrial carbon and energy budgets, and remotely sensed observations of phenology are often used to parameterize seasonal vegetation dynamics in ecosystem models.
Rapid growth in the availability of remotely sensed observations provides fine-scale data on elevation and increasingly sophisticated characterizations of land cover and its changes.
The basic idea of our study is to predict the CSIT of the primary channels in the LTE-A network without just relying on the current sensed observations.
Land-cover changes are those remotely sensed observations of the Earth's surface that changed from one point in time over two or more time periods because of any disturbance [7], including both natural and human-induced causes.
Other features that enable harvesting of contextual data from sensed observations include ability to encompass measurements about composite physical and non-physical processes, phenomena, temporal concepts and metadata information.
An attractive feature of the PEM concept is its suitability for use with remotely sensed observations [30], which provide both the timing of the active period and the quantitative values of FAPAR.
One motivation for this study can be described with a term borrowed from satellite remote sensing: the term "ground truth" was coined to describe the validation, by direct measurements, of remotely sensed observations.
Ground truth The information gathered about the Earth's surface at the same time as a satellite pass is made, i.e. in order to interpret and calibrate remotely sensed observations.
These guidelines support reliable and timely country-specific agriculture production assessments and forecasts during crop growing seasons, combining existing tools with remotely sensed observations, validated crop model outputs and GIS-based analytical tools.
