Digital mapping of GlobalSoilMap soil properties at a broad scale: A review

S Chen, D Arrouays, VL Mulder, L Poggio, B Minasny… - Geoderma, 2022 - Elsevier
Soils are essential for supporting food production and providing ecosystem services but are
under pressure due to population growth, higher food demand, and land use competition …

[HTML][HTML] Computer vision technology in agricultural automation—A review

H Tian, T Wang, Y Liu, X Qiao, Y Li - Information Processing in Agriculture, 2020 - Elsevier
Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

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 …

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 …

Using deep learning for digital soil mapping

J Padarian, B Minasny, AB McBratney - Soil, 2019 - soil.copernicus.org
Digital soil mapping (DSM) has been widely used as a cost-effective method for generating
soil maps. However, current DSM data representation rarely incorporates contextual …

An advanced soil organic carbon content prediction model via fused temporal-spatial-spectral (TSS) information based on machine learning and deep learning …

X Meng, Y Bao, Y Wang, X Zhang, H Liu - Remote Sensing of Environment, 2022 - Elsevier
Abstract Knowledge of the soil organic carbon (SOC) content is critical for environmental
sustainability and carbon neutrality. With the development of remote sensing data and …

Imaging spectroscopy for soil mapping and monitoring

S Chabrillat, E Ben-Dor, J Cierniewski, C Gomez… - Surveys in …, 2019 - Springer
There is a renewed awareness of the finite nature of the world's soil resources, growing
concern about soil security and significant uncertainties about the carrying capacity of the …

Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison

NEQ Silvero, JAM Demattê, MTA Amorim… - Remote Sensing of …, 2021 - Elsevier
There is a worldwide need for detailed spatial information to support soil mapping, mainly in
the tropics, where main agricultural areas are concentrated. In this line, satellite images are …

Advancement of remote sensing for soil measurements and applications: A comprehensive review

MI Abdulraheem, W Zhang, S Li, AJ Moshayedi… - Sustainability, 2023 - mdpi.com
Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …

Satellite imagery to map topsoil organic carbon content over cultivated areas: an overview

E Vaudour, A Gholizadeh, F Castaldi, M Saberioon… - Remote Sensing, 2022 - mdpi.com
There is a need to update soil maps and monitor soil organic carbon (SOC) in the upper
horizons or plough layer for enabling decision support and land management, while …