Kanneh, J.E.; Li, C.; Ma, Y.; Li, S.; BE, M.C.; Wang, Z.; Zhong, D.; Han, Z.; Li, H.; Wang, J.
Utilising the Potential of a Robust Three-Band Hyperspectral Vegetation Index for Monitoring Plant Moisture Content in a Summer Maize-Winter Wheat Crop Rotation Farming System. Remote Sens. 2026, 18, 271.
https://doi.org/10.3390/rs18020271
AMA Style
Kanneh JE, Li C, Ma Y, Li S, BE MC, Wang Z, Zhong D, Han Z, Li H, Wang J.
Utilising the Potential of a Robust Three-Band Hyperspectral Vegetation Index for Monitoring Plant Moisture Content in a Summer Maize-Winter Wheat Crop Rotation Farming System. Remote Sensing. 2026; 18(2):271.
https://doi.org/10.3390/rs18020271
Chicago/Turabian Style
Kanneh, James E., Caixia Li, Yanchuan Ma, Shenglin Li, Madjebi Collela BE, Zuji Wang, Daokuan Zhong, Zhiguo Han, Hao Li, and Jinglei Wang.
2026. "Utilising the Potential of a Robust Three-Band Hyperspectral Vegetation Index for Monitoring Plant Moisture Content in a Summer Maize-Winter Wheat Crop Rotation Farming System" Remote Sensing 18, no. 2: 271.
https://doi.org/10.3390/rs18020271
APA Style
Kanneh, J. E., Li, C., Ma, Y., Li, S., BE, M. C., Wang, Z., Zhong, D., Han, Z., Li, H., & Wang, J.
(2026). Utilising the Potential of a Robust Three-Band Hyperspectral Vegetation Index for Monitoring Plant Moisture Content in a Summer Maize-Winter Wheat Crop Rotation Farming System. Remote Sensing, 18(2), 271.
https://doi.org/10.3390/rs18020271