Applying High-Resolution Visible-Channel Aerial Scan of Crop Canopy to Precision Irrigation Management

Proceedings

Orlov-Levin, Valerie²  Chen, Assaf³  Meron, Moshe⁴ 

[1] Available online: https://sciforum.net/conference/ecrs-2.;Author to whom correspondence should be addressed.;MIGAL Galilee Research Institute, Kiryat Shmona 11016, Israel;Presented at the 2nd International Electronic Conference on Remote Sensing, 22 March–5 April 2018

关键词: canopy cover;    vegetation fraction;    green-red vegetation index (GRVI);    precision irrigation;    remote sensing;    unmanned aerial vehicle (UAV);   

DOI  :  10.3390/ecrs-2-05148

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

Canopy cover (or vegetation cover) maps serve in irrigation management mainly to determine the primary evapotranspiration (ET) coefficient, as radiation interception and evaporative surface area are directly related to canopy cover. Crop size and development with time depends on water supply; therefore, crop canopy maps are tools for the detection of the spatial uniformity of irrigation systems. Several aerial scan campaigns were deployed in the Upper Galilee of Israel in the 2017 growing season to follow up and evaluate the irrigation uniformity and crop coefficients of peanuts and cotton by RGB scans of a Phantom 4 multirotor unmanned aerial vehicle (UAV). Foliage intensity and coverage were enhanced by a green-red vegetation index (GRVI), which is a normalized difference vegetation index (NDVI)-like process where the green channel replaced the near-infrared (NIR). The results demonstrated that the GRVI is suitable for the purpose of determining the vegetation cover. Furthermore, the GRVI yielded better results than the NDVI in recognizing phenological crop changes (especially senescence). Therefore, this research proves the applicability of a low-cost digital camera mounted on an easily accessible UAV for crop cover and actual, in-field, ET coefficients determination and irrigation uniformity evaluation.

【 授权许可】

CC BY