Examples of 'remote sensing data' in a sentence
Meaning of "remote sensing data"
remote sensing data": "This phrase refers to data or information collected from a distance through various techniques or technologies, such as satellite imaging, aerial photography, or sensor-based observations. It is often used in the fields of geography, environmental science, and Earth observation to gather information about the Earth's surface without direct physical contact.
How to use "remote sensing data" in a sentence
Basic
Advanced
remote sensing data
Lhe application for remote sensing data.
Remote sensing data analysis methods and applications.
Conditions for usefulness of remote sensing data.
Determine if remote sensing data is applicable.
Evaluation of reed density based on remote sensing data.
Remote sensing data are spatial data.
The incorporation of remote sensing data in statistical systems.
One example is the transmission of remote sensing data.
Present remote sensing data sources.
Prospects for optimal use of remote sensing data.
The use of remote sensing data is central to this research.
Advanced geophysical and geological interpretation of remote sensing data.
Remote sensing data per se had little commercial value.
Airborne remote sensing data.
Remote sensing data can provide information on surface waters.
See also
remote sensing and geographic information
remote sensing applications
remote sensing satellite
remote sensing satellites
remote sensing applications
remote sensing satellite
remote sensing satellites
Belgian infrastructure dedicated to the processing of remote sensing data.
Free remote sensing data.
Training sessions for local partners on use of remote sensing data.
Remote sensing data provide a synoptic overview of large areas.
Meteorological and relevant remote sensing data alone are not sufficient.
Remote sensing data will serve administrations and commercial customers.
Integration of satellite remote sensing data for land use statistics.
System for the thematic processing of the remote sensing data.
Most satellite remote sensing data are readily available in digital format.
Participating experts discussed new ways of providing access to remote sensing data.
The recent microwave remote sensing data are introduced in more detail.
Remote sensing data gathered over time can show landscape change.
National programmes and projects in applications of remote sensing data were also featured.
The use of remote sensing data as auxiliary variables for agricultural statistics.
Applying special software our specialists perform remote sensing data processing.
Remote sensing data could be a very important source of information for that purpose.
Supporting operational observations of snow water equivalent with remote sensing data.
Sometimes remote sensing data are used as auxiliary variables to improve the precision of estimates.
The implemented methods are designed for urban remote sensing data.
This has resulted in remote sensing data not being accepted for many applications.
The key statement in this case shall be definition of remote sensing data status.
Earth remote sensing data represent a breakthrough method used in monitoring of industrial facilities.
Two approaches are described to integrate remote sensing data with crop growth models.
Multispectral remote sensing data were widely used for crop discrimination and yield estimation.
System for the reception and preliminary processing of the remote sensing data.
The reliability and application of remote sensing data in all those activities were clearly demonstrated.
Minimising the risk of dams failures through the use of remote sensing data.
Remote sensing data can provide quantitative and qualitative information about aquatic systems.
Validation should be performed using higher resolution remote sensing data or ground truthed data.
Remote sensing data over a large area give a simplified synthetic view reducing the information.
Required mapping materials and characteristics of remote sensing data are defined for each task.
Remote sensing data processing system has been upgraded and now filters out such false signals.
Grew out of the need to deliver remote sensing data across the web for foresters.
Using statistical inversion for the retrieval of the geophysical parameters from remote sensing data.
Integration of conventional and remote sensing data for the detection and forecast of night frost.
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