How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal

P Smith, JF Soussana, D Angers… - Global Change …, 2020 - Wiley Online Library
There is growing international interest in better managing soils to increase soil organic
carbon (SOC) content to contribute to climate change mitigation, to enhance resilience to …

[HTML][HTML] A global spectral library to characterize the world's soil

RAV Rossel, T Behrens, E Ben-Dor, DJ Brown… - Earth-Science …, 2016 - Elsevier
Soil provides ecosystem services, supports human health and habitation, stores carbon and
regulates emissions of greenhouse gases. Unprecedented pressures on soil from …

Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

S Wang, K Guan, C Zhang, DK Lee… - Remote Sensing of …, 2022 - Elsevier
Soil organic carbon (SOC) is a key variable to determine soil functioning, ecosystem
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …

African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning

T Hengl, MAE Miller, J Križan, KD Shepherd, A Sila… - Scientific reports, 2021 - nature.com
Soil property and class maps for the continent of Africa were so far only available at very
generalised scales, with many countries not mapped at all. Thanks to an increasing quantity …

Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

W Ng, B Minasny, M Montazerolghaem, J Padarian… - Geoderma, 2019 - Elsevier
No single instrument can characterize all soil properties because soil is a complex material.
With the advancement of technology, laboratories have become equipped with various …

Remote sensing techniques for soil organic carbon estimation: A review

T Angelopoulou, N Tziolas, A Balafoutis, G Zalidis… - Remote Sensing, 2019 - mdpi.com
Towards the need for sustainable development, remote sensing (RS) techniques in the
Visible-Near Infrared–Shortwave Infrared (VNIR–SWIR, 400–2500 nm) region could assist …

Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands

F Castaldi, A Hueni, S Chabrillat, K Ward… - ISPRS Journal of …, 2019 - Elsevier
The short revisit time of the Sentinel-2 (S2) constellation entails a large availability of remote
sensing data, but S2 data have been rarely used to predict soil organic carbon (SOC) …

Agricultural robotics research applicable to poultry production: A review

G Ren, T Lin, Y Ying, G Chowdhary, KC Ting - Computers and Electronics in …, 2020 - Elsevier
The advent of agricultural robotics research worldwide has brought substantial improvement
for various applications. This article provides a comprehensive review of published research …

A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra

AC Dotto, RSD Dalmolin, A ten Caten, S Grunwald - Geoderma, 2018 - Elsevier
Soil organic carbon (SOC) plays a crucial role as an ecosystems indicator. Its quantification
requires an affordable, and less time-consuming method. Visible and near infrared (Vis-NIR) …

Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art

PC Pandey, N Koutsias, GP Petropoulos… - Geocarto …, 2021 - Taylor & Francis
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …