We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
基于多源遥感数据的河套灌区玉米植株 氮素浓度诊断及污染风险评估.
- Authors
林人财; 陈 鹤; 张宝忠; 魏 征; 李益农; 桑红辉
- Abstract
【Objective】Precision agriculture needs a rapid diagnosis of water and nutrient deficits, which is challenging at large scales in the field. Taking maize as an e ample, this paper proposes to estimate nitrogen content in maize canopy using remote sensing data.【Method】The study was carried out at Hetao Irrigation District using UAV multi-spectral imagery data measured in 2020. A variety of vegetation indices e tracted from the imageries were used to calculate nitrogen content in the canopy when the crop grew to different stages. The model was validated against ground-truth data and was then used to evaluate critical nitrogen concentration and potential nitrogen pollution at different growth stages.【Result】The planted area of maize in Hetao Irrigated District in 2020 was 275 000 hm2. The suitable vegetation indices for calculating canopy nitrogen varied with growing stages; the canopy nitrogen at elongation, early and late tasseling stage and flowering stage was best estimated by GBNDVI and, respectively. It was found that nitrogen concentration in the canopy was low at the flowering stage, and high at the elongation and later tasseling stage, during which nitrogen pollution could occur. Analysis showed that the risk of nitrogen pollution was rade 4 in early tasseling stage and zero in flowering stage. 【Conclusion】The UAV multispectral image data can be used to estimate nitrogen content in plant and assess the potential of nitrogen pollution at different growing stages at large scales in the field. It can help improve fertilization and reduce the potential of non-point source pollution.
- Subjects
NITROGEN content of plants; NONPOINT source pollution; MULTISPECTRAL imaging; REMOTE sensing; PLANT growth; FLOWERING time
- Publication
Journal of Irrigation & Drainage, 2023, Vol 42, Issue 2, p66
- ISSN
1672-3317
- Publication type
Article
- DOI
10.13522/j.cnki.ggps.2022349