Remote sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales remote sensing is a large and diverse field for which this Handbook will be the key research reference. Illustrated throughout, an essential resource for the analysis of remotely sensed data, The SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.
Chapter 17: Surface Reference Data Collection
Surface Reference Data Collection
ground truth, ancillary data, in situ measurements, calibration, sampling design, Global Positioning Systems (GPS), surface references, ground reference.
Applications of remote sensing must define relationships between image data and conditions at corresponding points on the ground. Unfortunately, many published remote sensing reports focus on image processing techniques with little detail regarding the methods used for collecting ground truth data (McCoy 2005). In this chapter, we summarize components that should be considered for planning and acquiring surface reference data for a remote sensing project. The specific surface characteristics that may be measured are quite diverse and vary by application and by analysis methodology. Our discussion will focus on example applications in agriculture, but the general qualities of the reference data ...