The Simulation of Line-track with In-situ Sample Data in the Application of Remote Sensing from QuickBird Data

Reliable in-situ sample data is essential to run the remotely sensed (RS) model and to check the RS result. Existing in-situ data collection methods are ruler measurement by manual work or tracking the parcel by high-accuracy Global Position System (GPS). The former is time-consuming and lacks spatial information, while the latter is costly and the GPS signal is not stable. On account of this, we have developed a new approach named Line-track to get reliable in-situ sample data in the paper published in the 2006 IGARSS Conference. This paper simulates plenty of in-situ samples from the QuickBird data. The percentage of wheat in every sample varies from 0 to 100%. This paper sets up an accuracy assessment model of Line-track, which analyzes the variation of the accuracy of Line-track under different conditions, such as the actual percentage of wheat in a sample, and the distance of two sample lines. The analysis of Line-track demonstrates that the Line-track is not suitable for the wheat sample of low percentage (from 0 to 20%). The average accuracy of the samples, the percentage of which is from 20% to 50%, is more than 97% when the distance of two sample lines is less than eight meters. The average accuracy of the sample (from 50% to 70%) is more than 97%, when the distance of two sample lines is less than sixteen meters, the average accuracy of the sample of high percentage (from 70% to 100%) is about 97%, and the standard deviation is less than 2%, when the distance of two sample lines is less than twenty-five meters. Such results suggest that Line-track is reliable to obtain accurate in-situ data due to less dependence on time and cost. The development of the Line- track will strongly support the collection of in-situ sample in the application of RS technology.