The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Citation
Articles | Volume XLII-3/W10
https://doi.org/10.5194/isprs-archives-XLII-3-W10-279-2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-279-2020
07 Feb 2020
 | 07 Feb 2020

A METHOD OF FORESTRY DATA COLLECTION BASED ON ANDROID SYSTEM AND RTK

Y. Zeng, G. W. Lan, Z. G. Pan, Y. L. Du, and H. L. Shi

Keywords: Android Mobile Terminal, RTK, Forestry Data Collection, High Precision Coordinate, Bluetooth

Abstract. In our country, forestry resource is one of the most important resources, which are of great significance to national economic and sustainable development. The operation mode of only using a mobile terminal to acquire data cannot satisfy the requirements of forestry data collection. A common mobile terminal is widely used to collect data with the advantage of convenient and rapid in field, but the error range of its GNSS chip positioning is 5 to 10 meters. Both positioning accuracy and the accuracy of sublot area measurement cannot meet the requirement in forestry data acquisition. Although RTK has the advantage of high- precision positioning, its handhold terminal is specially used for mobile single point positioning, and it cannot be suitable for forestry special data collection, storage and visualization. Therefore, this paper presents the idea of using bluetooth communication technology to wirelessly connect RTK with Android mobile terminal, the high precision coordinate is obtained and used for storage and display on the screen in real-time. Combining ArcGIS for Android development kit with SpatiaLite database, this paper develops a set of high-precision and intelligent forestry data acquisition system based on Android platform to realize real-time data collection and sublot editing. Compare with conventional forestry data collection method, the method combines the mobile terminal of Android system with RTK can improve work efficiency, which also provides a more efficient technical means for forestry data collection.