Spatial Variations of Vegetation Index from Remote Sensing Linked to Soil Colloidal Status

被引:9
作者
Bascietto, Marco [1 ]
Santangelo, Enrico [1 ]
Beni, Claudio [1 ]
机构
[1] CREA IT, Consiglio Ric Agr & Anal Econ Agr CREA, Ctr Ric Ingn & Trasformaz Agroalimentari, Via Pascolare 16, I-00015 Monterotondo, Italy
关键词
remote sensing; soil degradation; vegetation index; colloid index; fertilization; nitrogen; phosphorus; potassium; calcium; ORGANIC-MATTER; PRECISION AGRICULTURE; STRUCTURAL STABILITY; WHEAT; PHENOLOGY; CALCIUM;
D O I
10.3390/land10010080
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recent decades have seen a progressive degradation of soils owing to an intensification of farming practices (weeding and high trafficking), increasing use of pesticides and fertilizers, mainly nitrogen, resulting in a steady decline in soil organic matter, a key component to maintain soil fertility. The work has coupled the normalized difference vegetation index (NDVI) of wheat cultivation in Central Italy to soil properties where the wheat was grown to identify the properties linked to within-field variability in productivity. NDVI was assessed through Copernicus Sentinel-2 (S-2) data during the wheat anthesis phase. The main outcome showed a significant correlation of NDVI variability to soil colloidal status and to the relative quantity in the exchange complex of the Ca2+ ions. No relationship emerged between NDVI and soil macronutrients (nitrogen, phosphorus, and potassium) concentration. The work suggested that such elements (nitrogen, especially) should not be provided solely considering the vegetation index spatial variations. Rational and sustainable management of soil fertility requires the integration of the NDVI data with the whole complex of soil physical/chemical status. In this way, the identification of the real key factors of fertility will avoid the negative impact of overfertilization. As an example, a fertilization plan was simulated for the sunflower-wheat sequence. The results showed that in the study area additional supplies of N and K would be unnecessary.
引用
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页码:1 / 15
页数:15
相关论文
共 66 条
[1]  
Ali MA, 2010, INT J AGRIC BIOL, V12, P509
[2]  
Assessorato Agricoltura Promozione della Filiera e della Cultura del Cibo Ambiente e Risorse Naturali Parte Agronomica, 2020, NORM GEN DISC PROD, V1
[3]   Precision farming - the environmental challenge [J].
Auernhammer, H .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2001, 30 (1-3) :31-43
[4]  
Bascietto, 2020, FERTPLAN COMPUTE NPK
[5]   Efficient Estimation of Biomass from Residual Agroforestry [J].
Bascietto, Marco ;
Sperandio, Giulio ;
Bajocco, Sofia .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (01)
[6]   Variable rate nitrogen fertilizer response in wheat using remote sensing [J].
Basso, Bruno ;
Fiorentino, Costanza ;
Cammarano, Davide ;
Schulthess, Urs .
PRECISION AGRICULTURE, 2016, 17 (02) :168-182
[7]  
Bazzoffi P., 2016, Ital. J. Agron, V10, P9, DOI [10.4081/ija.2015.710, DOI 10.4081/IJA.2015.710]
[8]   Anaerobic Digestate Administration: Effect on Soil Physical and Mechanical Behavior [J].
Beni, Claudio ;
Servadio, Pieranna ;
Marconi, Simona ;
Neri, Ulderico ;
Aromolo, Rita ;
Diana, Giampietro .
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 2012, 43 (05) :821-834
[9]  
Biondi, 1985, ANNALI IST SPER NUTR, V13, P1
[10]   Remotely sensed soil moisture to estimate savannah NDVI [J].
Boke-Olen, Niklas ;
Ardo, Jonas ;
Eklundh, Lars ;
Holst, Thomas ;
Lehsten, Veiko .
PLOS ONE, 2018, 13 (07)