2016
DOI: 10.1016/j.geoderma.2016.06.029
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Comparing soil carbon estimates in glaciated soils at a farm scale using geospatial analysis of field and SSURGO data

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Cited by 14 publications
(11 citation statements)
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“…In [15,16], the researchers used on-board magnetic sensors to detect the movement of the pieces, and a fixed position for the board relative to the robot in order to ease the manipulation [17][18][19] . Other works used 2D and depth cameras to follow the development of the game [20][21][22][23][24], while in the investigation carried out in [25], depth cameras were used to detect the occupancy of the board squares and compare the current state with the previous states.…”
Section: Discussionmentioning
confidence: 99%
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“…In [15,16], the researchers used on-board magnetic sensors to detect the movement of the pieces, and a fixed position for the board relative to the robot in order to ease the manipulation [17][18][19] . Other works used 2D and depth cameras to follow the development of the game [20][21][22][23][24], while in the investigation carried out in [25], depth cameras were used to detect the occupancy of the board squares and compare the current state with the previous states.…”
Section: Discussionmentioning
confidence: 99%
“…Total soil carbon is accumulated over pedogenic time scales (up to a few million years), but can be significantly changed within the human time scales (e.g., over centuries, decades, or less) [7]. Static measurements of TSC found in soil surveys rely on separate measurements of SOC and SIC that are done for representative pedon(s) which are often used to describe large geographic regions [20]. Furthermore, both SOC and SIC vertical distribution data are often extrapolated beyond measured depths.…”
Section: Discussionmentioning
confidence: 99%
“…The Cornell University Willsboro Research Farm is a 147-hectare farm located near Lake Champlain with highly variable soils (Entisols, Inceptisols, and Alfisols) formed in glacial deposits (e.g., glacial till, etc.) (Figure 3, Table 2) (Mikhailova et al, 2016). The present study calculates the monetary values of SOC, SIC, and TSC based on soil C data reported by Mikhailova et al (2016), which is obtained from SSURGO and field measurements.…”
Section: Study Areamentioning
confidence: 99%
“…(Figure 3, Table 2) (Mikhailova et al, 2016). The present study calculates the monetary values of SOC, SIC, and TSC based on soil C data reported by Mikhailova et al (2016), which is obtained from SSURGO and field measurements. Detailed descriptions of sampling, laboratory analyses, and spatial analyses can be obtained from Mikhailova et al (2016).…”
Section: Study Areamentioning
confidence: 99%
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