Remote Sensing Index for Mapping Canola Flowers Using MODIS Data
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Areas
2.2. Dataset and Preprocessing
2.2.1. Data
2.2.2. Preprocessing of MODIS Time Series
2.3. Temporal Characteristics of Canola Spectra
2.4. Development of the EAYI for Canola Flowering Mapping
2.4.1. Determination of the Flowering Period
2.4.2. EAYI Index for Canola Flowering Mapping
2.5. Mapping and Evaluation of the EAYI
3. Results
3.1. EAYI Map Derived from MODIS Data
3.2. Comparison with Canola Coverage Interpreted from High-Resolution Imagery
3.3. Comparison with Census Yield Data
4. Discussion
4.1. Superiorities of the EAYI
4.2. Remaining Challenges and Future Researches
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
References
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Zang, Y.; Chen, X.; Chen, J.; Tian, Y.; Shi, Y.; Cao, X.; Cui, X. Remote Sensing Index for Mapping Canola Flowers Using MODIS Data. Remote Sens. 2020, 12, 3912. https://doi.org/10.3390/rs12233912
Zang Y, Chen X, Chen J, Tian Y, Shi Y, Cao X, Cui X. Remote Sensing Index for Mapping Canola Flowers Using MODIS Data. Remote Sensing. 2020; 12(23):3912. https://doi.org/10.3390/rs12233912
Chicago/Turabian StyleZang, Yunze, Xuehong Chen, Jin Chen, Yugang Tian, Yusheng Shi, Xin Cao, and Xihong Cui. 2020. "Remote Sensing Index for Mapping Canola Flowers Using MODIS Data" Remote Sensing 12, no. 23: 3912. https://doi.org/10.3390/rs12233912