Ensemble Identification of Spectral Bands Related to Soil Organic Carbon Levels over an Agricultural Field in Southern Ontario, Canada
出版年份 2019 全文链接
标题
Ensemble Identification of Spectral Bands Related to Soil Organic Carbon Levels over an Agricultural Field in Southern Ontario, Canada
作者
关键词
-
出版物
Remote Sensing
Volume 11, Issue 11, Pages 1298
出版商
MDPI AG
发表日期
2019-05-31
DOI
10.3390/rs11111298
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。- Assessing the Performance of UAS-Compatible Multispectral and Hyperspectral Sensors for Soil Organic Carbon Prediction
- (2019) Giacomo Crucil et al. Sustainability
- Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review
- (2019) Theodora Angelopoulou et al. Remote Sensing
- Using interpretable fuzzy rule-based models for the estimation of soil organic carbon from VNIR/SWIR spectra and soil texture
- (2019) Nikolaos L. Tsakiridis et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Modelling the topsoil carbon stock of agricultural lands with the Stochastic Gradient Treeboost in a semi-arid Mediterranean region
- (2017) Calogero Schillaci et al. GEODERMA
- Spectral band selection for vegetation properties retrieval using Gaussian processes regression
- (2016) Jochem Verrelst et al. International Journal of Applied Earth Observation and Geoinformation
- A new hyperspectral band selection and classification framework based on combining multiple classifiers
- (2016) Shijin Li et al. PATTERN RECOGNITION LETTERS
- Estimating Soil Organic Carbon of Cropland Soil at Different Levels of Soil Moisture Using VIS-NIR Spectroscopy
- (2016) Qinghu Jiang et al. Remote Sensing
- Laboratory-based Vis–NIR spectroscopy and partial least square regression with spatially correlated errors for predicting spatial variation of soil organic matter content
- (2015) Massimo Conforti et al. CATENA
- Multi-method ensemble selection of spectral bands related to leaf biochemistry
- (2015) Hannes Feilhauer et al. REMOTE SENSING OF ENVIRONMENT
- Prediction of Soil Organic Carbon under Varying Moisture Levels Using Reflectance Spectroscopy
- (2014) Eduardo A. Rienzi et al. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
- Transferability of a Visible and Near-Infrared Model for Soil Organic Matter Estimation in Riparian Landscapes
- (2014) Yaolin Liu et al. Remote Sensing
- A novel approach to hyperspectral band selection based on spectral shape similarity analysis and fast branch and bound search
- (2013) Shijin Li et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Using Vis-NIR Spectroscopy for Monitoring Temporal Changes in Soil Organic Carbon
- (2013) Fan Deng et al. SOIL SCIENCE
- Multiple Classifier System for Remote Sensing Image Classification: A Review
- (2012) Peijun Du et al. SENSORS
- Predicting soil organic carbon and total nitrogen using mid- and near-infrared spectra for Brookston clay loam soil in Southwestern Ontario, Canada
- (2011) H. T. Xie et al. CANADIAN JOURNAL OF SOIL SCIENCE
- Comparison and detection of total and available soil carbon fractions using visible/near infrared diffuse reflectance spectroscopy
- (2011) D.V. Sarkhot et al. GEODERMA
- Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy
- (2010) Antoine Stevens et al. GEODERMA
- Using data mining to model and interpret soil diffuse reflectance spectra
- (2010) R.A. Viscarra Rossel et al. GEODERMA
- Variable selection using random forests
- (2010) Robin Genuer et al. PATTERN RECOGNITION LETTERS
- Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy
- (2009) Martin Schlerf et al. International Journal of Applied Earth Observation and Geoinformation
- Retrieval of foliar information about plant pigment systems from high resolution spectroscopy
- (2009) Susan L. Ustin et al. REMOTE SENSING OF ENVIRONMENT
- Using Imaging Spectroscopy to study soil properties
- (2009) E. Ben-Dor et al. REMOTE SENSING OF ENVIRONMENT
- Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study
- (2008) Cécile Gomez et al. GEODERMA
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 NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now