Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database-Reference-Cited by-同舟云学术

Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database

Published:2018-04-15 Issue:4 Volume:69 Page:592-603
ISSN:1351-0754
Container-title:European Journal of Soil Science
language:en
Short-container-title:Eur J Soil Sci

Author:

Castaldi F.¹^ORCID,Chabrillat S.²,Chartin C.¹,Genot V.³,Jones A. R.⁴,van Wesemael B.¹

Affiliation:

1. Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute; Universite Catholique de Louvain, Croix du Sud 2, L7.05.16, 1348 Louvain la neuve; Belgium

2. Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ, Telegrafenberg, 14473 Potsdam; Germany

3. Station Provinciale d'Analyses Agricoles, Rue de Dinant 110, 4557; Tinlot Belgium

4. European Commission, Joint Research Centre; Institute for Environment and Sustainability, Via E. Fermi, 2749, 21027; Ispra Italy

Funder

Federaal Wetenschapsbeleid

Service Public de Wallonie

Publisher

Wiley

Subject

Soil Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/ejss.12553/fullpdf

Reference40 articles.

1. Improving the prediction performance of a large tropical vis-NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques;Araújo;European Journal of Soil Science,2014

2. The reflectance spectra of organic matter in the visible near-infrared and short wave infrared region (400-2500 nm) during a controlled decomposition process;Ben-Dor;Remote Sensing of Environment,1997

3. A comparison of sensor resolution and calibration strategies for soil texture estimation from hyperspectral remote sensing;Casa;Geoderma,2013

4. Reducing the influence of soil moisture on the estimation of clay from hyperspectral data: a case study using simulated PRISMA data;Castaldi;Remote Sensing,2015

5. Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon;Castaldi;Remote Sensing of Environment,2016

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the impact of soil texture on local scale organic carbon quantification: From airborne to spaceborne sensing domains;Soil and Tillage Research;2024-09

2. Estimating Soil Organic Carbon Using Sensors Mounted on Unmanned Aircraft System and Machine Learning Algorithms;Journal of the Indian Society of Remote Sensing;2024-08-12

3. Leveraging legacy data with targeted field sampling for low-cost mapping of soil organic carbon stocks on extensive rangeland properties;Geoderma;2024-08

4. Indirect Estimation of Subsoil Aggregate Indices Based on Hyperspectral Vis-NIR Data in the Loess Hilly-gully Region;Journal of Soil Science and Plant Nutrition;2024-07-22

5. A critical systematic review on spectral-based soil nutrient prediction using machine learning;Environmental Monitoring and Assessment;2024-07-04