What is ground truth data? Discuss in detail the methods for planning and collection of ground truth data.  

Ground truth data is data that has been collected from the actual physical environment, which is used as a reference or benchmark for evaluating the accuracy of other data sources. This data is often collected using direct observation or measurement, and it serves as a means of validating or calibrating other data sources, such as remote sensing imagery or model output.

The planning and collection of ground truth data is a critical step in many applications of geospatial technology, such as land cover classification, crop yield prediction, and natural resource management. The following methods are commonly used for planning and collecting ground truth data:

1. Field surveys: Field surveys involve the direct observation and measurement of environmental features using instruments such as GPS, clinometers, and soil moisture sensors. Field surveys are commonly used for collecting ground truth data for land cover classification and natural resource management applications.

2. Remote sensing validation: Remote sensing validation involves comparing the results of remote sensing data analysis to ground truth data collected from the same area. This method is commonly used for validating land cover classification maps and vegetation indices derived from remote sensing data.

3. Model calibration: Model calibration involves using ground truth data to adjust model parameters or inputs to improve the accuracy of model outputs. This method is commonly _____ ___ _________ ____ _____ ______ __________ _________.
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