Remote sensing is the small- or large-scaleacquisition of information of an object or phenomenon, by the use of either recording or real-time sensing device(s) to collect data in inaccessible areas etc.
data dictionary
A validation error occurs when a model's predictions on a validation dataset significantly differ from the actual outcomes, indicating that the model may not generalize well to unseen data. This type of error can arise from overfitting, where the model learns the training data too closely, or from underfitting, where the model fails to capture the underlying patterns. In essence, validation errors highlight the model's limitations in accurately predicting future data.
A boolean is not a validation rule itself; rather, it is a data type that can hold one of two values: true or false. In the context of validation rules, boolean values can be used to determine whether certain conditions are met, thereby validating input or data. For example, a validation rule might check if a field is required (true) or optional (false).
The term for this process is "data validation." Data validation involves verifying that data meets specified criteria or rules to ensure its accuracy and quality. This process helps identify errors, inconsistencies, or anomalies in the data, ensuring that it is suitable for analysis or decision-making.
The opposite of remote sensing is close-up sensing, where data is collected from objects or phenomena in close proximity to the sensor or observer. This type of sensing involves direct contact or nearness to the subject being observed, as opposed to remote sensing which involves collecting data from a distance.
Hakil Kim has written: 'A method of classification for multisource data in remote sensing based on interval-valued probabilities' -- subject(s): Interval analysis (Mathematics), Remote sensing 'A method of classification for multisource data in remote sensing based on interval-valued probabilties' -- subject(s): Remote sensing
The types of data collected through remote sensing include imagery, spectral data, elevation data, and temperature readings. However, remote sensing does not typically collect direct in-situ measurements, such as soil samples or direct water quality tests, as these involve physical sampling rather than remote observation.
gps
A mapmaker might use active remote sensing over passive remote sensing because active remote sensing provides its own source of energy to illuminate the target, allowing for more control over the data collected. This can result in better resolution and accuracy in mapping features of interest.
by ground truthing
remote sensing
The National Remote Sensing Agency (NRSA) is located in Hyderabad, India. It is an autonomous organization under the Department of Space, Government of India, and is responsible for remote sensing satellite data acquisition and processing.
Remote sensing.
remote sensing
Remote sensing provides valuable data for GIS by allowing for the collection of information from a distance using sensors on satellites or aircraft. This data can be used to create detailed maps, monitor changes in the environment, assess land cover and land use, and analyze spatial patterns. Remote sensing helps to enhance the accuracy, efficiency, and scope of GIS applications.
In remote sensing, a platform refers to the vehicle or instrument used to collect data from above the Earth's surface. This can include satellites, aircraft, drones, or ground-based sensors. The choice of platform depends on the specific needs of the remote sensing application and the type of data being collected.