Monitoring the southern corn rust based on hyperspectral remote sensing

Jia He; Yan Zhang; Laigang Wang; Hongli Zhang; Yan Guo; Xiuzhong Yang

doi:10.1117/12.3020696

23 January 2024 Monitoring the southern corn rust based on hyperspectral remote sensing

Jia He, Yan Zhang, Laigang Wang, Hongli Zhang, Yan Guo, Xiuzhong Yang

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 1297817 (2024) https://doi.org/10.1117/12.3020696
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

In this study, the canopy hyperspectral reflectance of Southern Corn Rust (SCR) was collected by ground spectrometer, and the canopy spectral characteristics of SCR, the correlation between canopy spectral reflectance or vegetation index and disease index (DI) were analyzed, then a hyperspectral remote sensing monitoring model of SCR was constructed. The results showed that: (1) There was a reflection peak at 550 nm after maize was infected by SCR, and an absorption valley near 970 nm. (2) The DI of SCR was significantly negatively correlated with canopy spectral reflectance at 350~720 nm (P<0.05), and the maximum negative correlation was near 680 nm (P<0.05), | r | was 0.47~0.76. (3) The hyperspectral monitoring model of SCR was established based on different vegetation indexes. The results showed that the model constructed by NDVI705 had better monitoring accuracy and verification accuracy. The R² of the monitoring model was 0.651, RMSE was 0.276, and the relative error between the predicted value and the measured value was 12.13%, R² was 0.679, RMSE was 0.288.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jia He, Yan Zhang, Laigang Wang, Hongli Zhang, Yan Guo, and Xiuzhong Yang "Monitoring the southern corn rust based on hyperspectral remote sensing", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 1297817 (23 January 2024); https://doi.org/10.1117/12.3020696

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available