원문정보
초록
영어
Rice heading is the critical stage of the growth of rice, rice plants are relatively large, field canopy, poor resistance, and coincided with the high temperature and rainy weather, pests and diseases are more prone period. Therefore, the use of UAV to monitor the growth status of rice, easy to understand rice growth and nutritional status, in order to achieve high-quality, high yield, efficient purpose. This article is the field experiments under different nitrogen levels, using UAV monitoring multispectral images of rice, by reference remote sensing spectral indices, derived green normalized difference vegetation index (GNDVI) relative to other spectral index is more suitable for rice field biomass inversion modeling. At the same time, this study is based on the inversion model, implemented the rice growing and nitrogen content graded by ISODATA methods in ENVI. Achieved classification on rice growth and nitrogen remote sensing thematic map in ArcGIS, to provide timely and accurate information for rice seedling diagnosis and management decision, has reached the purpose of rice production precise management.
목차
1. Introduction
2. Overview of Research Area
3. Materials and Methods
3.1. Field Experiment Design
3.2. Remote Sensing Data Acquisition and Preprocessing of UAV
3.3. Ground Data Collection and Thematic Map Production
4. Data Extraction and Analysis
4.1. The UAV aerial data analysis
4.2. Analysis of Ground Measured Point Data
4.3. Correlation between SPAD Value and Vegetation Index of Rice Canopy
4.4. Application
5. Discussion
Acknowledgements
References