Volume XLII-2/W6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W6, 263-268, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W6-263-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W6, 263-268, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W6-263-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  24 Aug 2017

24 Aug 2017

USE OF GREENDRONE UAS SYSTEM FOR MAIZE CROP MONITORING

A. K. Nasir and M. Tharani A. K. Nasir and M. Tharani
  • Electrical Engineering Department, School of Science and Engineering, LUMS, Pakistan

Keywords: UAS, Remote Sensing, Multispectral Images, Orthomosaic, NDVI, Precision Agriculture, GreenDrone

Abstract. This research work presents the use of a low-cost Unmanned Aerial System (UAS) – GreenDrone for the monitoring of Maize crop. GreenDrone consist of a long endurance fixed wing air-frame equipped with a modified Canon camera for the calculation of Normalized Difference Vegetation Index (NDVI) and FLIR thermal camera for Water Stress Index (WSI) calculations. Several flights were conducted over the study site in order to acquire data during different phases of the crop growth. By the calculation of NDVI and NGB images we were able to identify areas with potential low yield, spatial variability in the plant counts, and irregularities in nitrogen application and water application related issues. Furthermore, some parameters which are important for the acquisition of good aerial images in order to create quality Orthomosaic image are also discussed.