Rapid Diagnosis of Nitrogen Nutrition Status in Summer Maize over Its Life Cycle by a Multi-Index Synergy Model Using Ground Hyperspectral and UAV Multispectral Sensor Data

被引:16
作者
Han, Nana [1 ,2 ]
Zhang, Baozhong [1 ,3 ]
Liu, Yu [1 ,3 ]
Peng, Zhigong [1 ,3 ]
Zhou, Qingyun [1 ,2 ]
Wei, Zheng [1 ,3 ]
机构
[1] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
[2] Tianjin Agr Univ, Coll Water Conservancy Engn, Tianjin 300384, Peoples R China
[3] Natl Ctr Efficient Irrigat Engn & Technol Res, Beijing 100048, Peoples R China
基金
中国国家自然科学基金;
关键词
hyperspectral sensor; UAV multispectral sensor; nitrogen concentration; synergy model; summer maize; LEAF-AREA INDEX; VEGETATION INDEXES; WINTER-WHEAT; CHLOROPHYLL CONTENT; RETRIEVING LAI; YIELD; REFLECTANCE; MANAGEMENT; BIOMASS; RICE;
D O I
10.3390/atmos13010122
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Global climate change and the spread of COVID-19 have caused widespread concerns about food security. The development of smart agriculture could contribute to food security; moreover, the targeted and accurate management of crop nitrogen is a topic of concern in the field of smart agriculture. Unmanned aerial vehicle (UAV) spectroscopy has demonstrated versatility in the rapid and non-destructive estimation of nitrogen in summer maize. Previous studies focused on the entire growth season or early stages of summer maize; however, systematic studies on the diagnosis of nitrogen that consider the entire life cycle are few. This study aimed to: (1) construct a practical diagnostic model of the nitrogen life cycle of summer maize based on ground hyperspectral data and UAV multispectral sensor data and (2) evaluate this model and express a change in the trend of nitrogen nutrient status at a spatiotemporal scale. Here, a comprehensive data set consisting of a time series of crop biomass, nitrogen concentration, hyperspectral reflectance, and UAV multispectral reflectance from field experiments conducted during the growing seasons of 2017-2019 with summer maize cultivars grown under five different nitrogen fertilization levels in Beijing, China, were considered. The results demonstrated that the entire life cycle of summer maize was divided into four stages, viz., V6 (mean leaf area index (LAI) = 0.67), V10 (mean LAI = 1.94), V12 (mean LAI = 3.61), and VT-R6 (mean LAI = 3.94), respectively; moreover, the multi-index synergy model demonstrated high accuracy and good stability. The best spectral indexes of these four stages were GBNDVI, TCARI, NRI, and MSAVI2, respectively. The thresholds of the spectral index of nitrogen sufficiency in the V6, V10, V12, VT, R1, R2, and R3-R6 stages were 0.83-0.44, -0.22 to -5.23, 0.42-0.35, 0.69-0.87, 0.60-0.75, 0.49-0.61, and 0.42-0.53, respectively. The simulated nitrogen concentration at the various growth stages of summer maize was consistent with the actual spatial distribution.
引用
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页数:23
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