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Titlebook: Agricultural Drought in Slovakia: An Impact Assessment; NDVI and Satellite B Veronika Zuzulová,Jaroslav Vido,Bernard Šiška Book 2020 The Au

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发表于 2025-3-21 17:29:10 | 显示全部楼层 |阅读模式
期刊全称Agricultural Drought in Slovakia: An Impact Assessment
期刊简称NDVI and Satellite B
影响因子2023Veronika Zuzulová,Jaroslav Vido,Bernard Šiška
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学科分类SpringerBriefs in Environmental Science
图书封面Titlebook: Agricultural Drought in Slovakia: An Impact Assessment; NDVI and Satellite B Veronika Zuzulová,Jaroslav Vido,Bernard Šiška Book 2020 The Au
影响因子.This book gives an insight into the evaluation of drought in Slovakia and provides an assessment of Normalized Difference Vegetation Index (NDVI) as a method suitable for an evaluation of drought in agricultural land. Dry seasons in the time series from 1960 to 2014 were determined according to the monthly Palmer Drought Severity Index (PDSI). The field research was carried out on 12 sites including western Slovakia, Prešov, Trnava and Nitra regions. Data collected from satellite imagery, climate data analyses and drought indices was analysed to determine the value of NDVI as an evaluation tool..
Pindex Book 2020
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Security Administration and Planning,eads to higher losses in agricultural production and other secondary losses due to unpredictability of the weather. The first step to success agro production is acceptance of the agroclimatic regionalization. Although this seems as matter of course, there are many examples of bad practice. Therefore
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https://doi.org/10.1007/979-8-8688-0339-0 and assessment of drought impact on yields of spring barley (. L.), winter wheat (. L.) and maize (. L.). Hectare yields of the cereals were detrended for each district using the second degree polynomial function. For identification of relationships between PDSI and NDVI and drought impact on veget
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https://doi.org/10.1007/979-8-8688-0339-0 of crop yield are presented in the chapter. As the most important result is the potential of application of NDVI as a relatively reliable crop yield forecast predictor. Because this prediction method is statistical, a full overview of the correlations between the crop yields for specific months is
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Mario Pufahl,Patrick Paulsen,Paul Arndtimagery and correlations between PDSI and NDVI and NDVI and selected field crop yields. The strongest drought impact on spring barley yields was observed in May, on winter wheat yields were observed in April. Maize did not react so sensitively to drought, but the strongest relationship was observed
发表于 2025-3-22 18:51:33 | 显示全部楼层
Agricultural Drought in Slovakia: An Impact Assessment978-3-030-42061-1Series ISSN 2191-5547 Series E-ISSN 2191-5555
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