Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra

2016 ◽  
Vol 49 ◽  
pp. 24-38 ◽  
Author(s):  
E. Vaudour ◽  
J.M. Gilliot ◽  
L. Bel ◽  
J. Lefevre ◽  
K. Chehdi
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Near Infrared ◽  
Hyperspectral Imagery ◽  
Organic Carbon Content ◽  
Soil Organic Carbon Content ◽  
Regional Prediction

Estimating Soil Organic Carbon Content with Visible–Near-Infrared (Vis-NIR) Spectroscopy

2014 ◽  
Vol 68 (7) ◽  
pp. 712-722 ◽  
Author(s):  
Yin Gao ◽  
Lijuan Cui ◽  
Bing Lei ◽  
Yanfang Zhai ◽  
Tiezhu Shi ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Organic Carbon Content ◽  
Soil Organic Carbon Content

Space-time monitoring of soil organic carbon content across a semi-arid region of Australia

2021 ◽  
Vol 24 ◽  
pp. e00367
Author(s):  
Patrick Filippi ◽  
Stephen R. Cattle ◽  
Matthew J. Pringle ◽  
Thomas F.A. Bishop
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Arid Region ◽  
Space Time ◽  
Organic Carbon Content ◽  
Soil Organic Carbon Content ◽  
Semi Arid Region ◽  
Semi Arid

scholarly journals Regional simulation of soil organic carbon dynamics for dry farmland in Northeast China using the CENTURY model

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245040
Author(s):  
Feng Zhang ◽  
Shihang Wang ◽  
Mingsong Zhao ◽  
Falv Qin ◽  
Xiaoyu Liu
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Content ◽  
Regional Scale ◽  
Organic Carbon Content ◽  
Century Model ◽  
Carbon Sequestration Potential ◽  
Soil Organic Carbon Content ◽  
Sequestration Potential ◽  
Temporal And Spatial

Soil organic carbon content has a significant impact on soil fertility and grain yield, making it an important factor affecting agricultural production and food security. Dry farmland, the main type of cropland in China, has a lower soil organic carbon content than that of paddy soil, and it may have a significant carbon sequestration potential. Therefore, in this study we applied the CENTURY model to explore the temporal and spatial changes of soil organic carbon (SOC) in Jilin Province from 1985 to 2015. Dry farmland soil polygons were extracted from soil and land use layers (at the 1:1,000,000 scale). Spatial overlay analysis was also used to extract 1282 soil polygons from dry farmland. Modelled results for SOC dynamics in the dry farmland, in conjunction with those from the Yushu field-validation site, indicated a good level of performance. From 1985 to 2015, soil organic carbon density (SOCD) of dry farmland decreased from 34.36 Mg C ha−1 to 33.50 Mg C ha−1 in general, having a rate of deterioration of 0.03 Mg C ha−1 per year. Also, SOC loss was 4.89 Tg from dry farmland soils in the province, with a deterioration rate of 0.16 Tg C per year. 35.96% of the dry farmland its SOCD increased but 64.04% of the area released carbon. Moreover, SOC dynamics recorded significant differences between different soil groups. The method of coupling the CENTURY model with a detailed soil database can simulate temporal and spatial variations of SOC at a regional scale, and it can be used as a precise simulation method for dry farmland SOC dynamics.

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