Mid-infrared spectroscopy to support regional-scale digital soil mapping on selected croplands of South-West Germany

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• 作者：Reza Mirzaeitalarposhti^a ; ^c ; ^{rezamirzaei57@gmail.com} ; Michael Scott Demyan^a ; ^b ; Frank Rasche^b ; Georg Cadisch^b ; Torsten Mü ; ller^a
• 关键词：Spatial variability ; midDRIFTS ; Geostatistics ; Organic carbon ; Kraichgau ; Swabian Alb
• 刊名：CATENA
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：149
• 期：part_P1
• 页码：283-293
• 全文大小：3039 K
• 卷排序：149

文摘

Mid-DRIFTS models can predict soil carbon and texture accurately. Mid-DRIFTS models facilitated collection of huge amounts of dataset for geostatistics. The study further resulted in the development of high resolution kriged maps.