Sentinel-2 Satellite Imagery for Agronomic and Quality Variability Assessment of Pistachio (Pistacia vera L.)

被引:8
作者
Barajas, Enrique [1 ]
Alvarez, Sara [1 ]
Fernandez, Elena [1 ]
Velez, Sergio [1 ]
Rubio, Jose Antonio [1 ]
Martin, Hugo [1 ]
机构
[1] Inst Tecnol Agr Castilla & Leon, Ctra Burgos Km 119, Valladolid 47071, Spain
关键词
Sentinel; 2; NDVI; pistachio; vigour; nutritional quality; TIME-SERIES; YIELD; BEHAVIOR; INDEX;
D O I
10.3390/su12208437
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The objective of this work is to evaluate the agronomic, phenological, nutritional quality and organoleptic characteristics of pistachios (Pistacia vera L.) based on the NDVI (Normalized Difference Vegetation Index) calculated in the phenological stage of nut filling from Sentinel satellite imagery. Based on this index, three pistachio tree orchards were studied and classified into two levels of vigour: high and low. The results obtained have discriminated the production per tree, which is strongly related to yield. Regarding the nutritional quality parameters, significant differences were not observed between vigour levels, although the most vigorous trees have shown nuts with a higher percentage of fibre and protein. In terms of phenology, there have not been differences between trees of different vigour, only a slight advance of some phenological stages has been observed in several high-vigour trees. Triangular tests have been made successfully to discriminate the origin of the dry nut and the vigour of the trees. In conclusion, for a given nut quality within a given orchard, the NDVI is a good index to classify different areas according to productive capacity and can be useful to apply variable management, irrigation and fertilization according to vigour.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 40 条
[11]   Water relations of pistachio (Pistacia vera L.) as affected by phenological stages and water regimes [J].
del Carmen Gijon, Maria ;
Gimenez, Carmen ;
Perez-Lopez, David ;
Guerrero, Julian ;
Francisco Couceiro, Jose ;
Moriana, Alfonso .
SCIENTIA HORTICULTURAE, 2011, 128 (04) :415-422
[12]   Sentinel-2 Validation for Spatial Variability Assessment in Overhead Trellis System Viticulture Versus UAV and Agronomic Data [J].
Di Gennaro, Salvatore Filippo ;
Dainelli, Riccardo ;
Palliotti, Alberto ;
Toscano, Piero ;
Matese, Alessandro .
REMOTE SENSING, 2019, 11 (21)
[13]   Effects of early harvest times on nut quality and physiological characteristics of pistachio (Pistacia vera) trees [J].
Esmaeilpour, A. ;
Shakerardekani, A. .
FRUITS, 2018, 73 (02) :110-117
[14]  
European Space Agency (ESA), SENTINEL 2 US HDB
[15]   Yield estimation in cotton using UAV-based multi-sensor imagery [J].
Feng, Aijing ;
Zhou, Jianfeng ;
Vories, Earl D. ;
Sudduth, Kenneth A. ;
Zhang, Meina .
BIOSYSTEMS ENGINEERING, 2020, 193 :101-114
[16]  
Ferguson L., 2005, Pistachio production manual, V4th, P31
[17]  
Guerrero J, 2014, ACTA HORTIC, V1028, P297
[18]  
Haas R.H., 1974, NASA/GSFC Type III Final Report
[19]   A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters [J].
Joyce, Karen E. ;
Belliss, Stella E. ;
Samsonov, Sergey V. ;
McNeill, Stephen J. ;
Glassey, Phil J. .
PROGRESS IN PHYSICAL GEOGRAPHY, 2009, 33 (02) :183-207
[20]  
Krishna K.R., 2016, PUSH BUTTON AGR ROBO