Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database
出版年份 2018 全文链接
标题
Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database
作者
关键词
-
出版物
EUROPEAN JOURNAL OF SOIL SCIENCE
Volume 69, Issue 4, Pages 592-603
出版商
Wiley
发表日期
2018-04-16
DOI
10.1111/ejss.12553
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Soil carbon 4 per mille
- (2017) Budiman Minasny et al. GEODERMA
- A global spectral library to characterize the world's soil
- (2016) R.A. Viscarra Rossel et al. EARTH-SCIENCE REVIEWS
- National calibration of soil organic carbon concentration using diffuse infrared reflectance spectroscopy
- (2016) Michaël Clairotte et al. GEODERMA
- Normalizing reflectance from different spectrometers and protocols with an internal soil standard
- (2016) Veronika Kopačková et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Climate-smart soils
- (2016) Keith Paustian et al. NATURE
- Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon
- (2016) Fabio Castaldi et al. REMOTE SENSING OF ENVIRONMENT
- Do we really need large spectral libraries for local scale SOC assessment with NIR spectroscopy?
- (2016) César Guerrero et al. SOIL & TILLAGE RESEARCH
- Prediction of Soil Carbon in the Conterminous United States: Visible and Near Infrared Reflectance Spectroscopy Analysis of the Rapid Carbon Assessment Project
- (2016) Nuwan K. Wijewardane et al. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
- Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data
- (2015) Fabio Castaldi et al. Remote Sensing
- 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
- (2014) S. R. Araújo et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations
- (2014) Zhou Shi et al. Science China-Earth Sciences
- The LUCAS topsoil database and derived information on the regional variability of cropland topsoil properties in the European Union
- (2013) Gergely Tóth et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- A comparison of sensor resolution and calibration strategies for soil texture estimation from hyperspectral remote sensing
- (2013) R. Casa et al. GEODERMA
- Predicting Soil Organic Carbon at Field Scale Using a National Soil Spectral Library
- (2013) Yi Peng et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
- Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy
- (2013) Antoine Stevens et al. PLoS One
- Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach
- (2013) Marco Nocita et al. SOIL BIOLOGY & BIOCHEMISTRY
- Estimating the soil organic carbon content for European NUTS2 regions based on LUCAS data collection
- (2012) Panos Panagos et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database
- (2011) F. Gogé et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Near Infrared Reflectance Spectroscopy for Estimating Soil Characteristics Valuable in the Diagnosis of Soil Fertility
- (2011) Valérie Genot et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
- Near-infrared spectroscopy for within-field soil characterization: small local calibrations compared with national libraries spiked with local samples
- (2010) J. Wetterlind et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Spiking of NIR regional models using samples from target sites: Effect of model size on prediction accuracy
- (2010) César Guerrero et al. GEODERMA
- Using data mining to model and interpret soil diffuse reflectance spectra
- (2010) R.A. Viscarra Rossel et al. GEODERMA
- Digital Soil Map of the World
- (2009) P. A. Sanchez et al. SCIENCE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started