4.6 Article

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

期刊

LAND
卷 10, 期 1, 页码 -

出版社

MDPI
DOI: 10.3390/land10010080

关键词

remote sensing; soil degradation; vegetation index; colloid index; fertilization; nitrogen; phosphorus; potassium; calcium

资金

  1. Italian Ministry of Agriculture, Food and Forestry Policies (MiPAAF) [DM 36503.7305.2018]

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The study found a significant correlation between the soil colloidal status and the relative quantity of Ca2+ ions in the exchange complex with NDVI variability in wheat cultivation fields, while no relationship emerged between NDVI and soil macronutrients concentration. Therefore, rational soil fertility management requires integrating NDVI data with the overall soil physical/chemical status.
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.

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