Remote sensing techniques for soil organic carbon estimation: A review
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 …
Visible-Near Infrared–Shortwave Infrared (VNIR–SWIR, 400–2500 nm) region could assist …
A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications
The development of analytical and computational techniques and growing scientific funds
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …
Soil texture estimation using radar and optical data from Sentinel-1 and Sentinel-2
S Bousbih, M Zribi, C Pelletier, A Gorrab… - Remote Sensing, 2019 - mdpi.com
This paper discusses the combined use of remotely sensed optical and radar data for the
estimation and mapping of soil texture. The study is based on Sentinel-1 (S-1) and Sentinel …
estimation and mapping of soil texture. The study is based on Sentinel-1 (S-1) and Sentinel …
Towards optimal variable selection methods for soil property prediction using a regional soil vis-nir spectral library
Soil visible and near-infrared (Vis-NIR, 350–2500 nm) spectroscopy has been proven as an
alternative to conventional laboratory analysis due to its advantages being rapid, cost …
alternative to conventional laboratory analysis due to its advantages being rapid, cost …
[HTML][HTML] Non-linear memory-based learning for predicting soil properties using a regional vis-NIR spectral library
Visible near-infrared (vis-NIR) spectroscopy has gained widespread recognition as an
efficient and reliable approach for the rapid monitoring of soil properties. This technique …
efficient and reliable approach for the rapid monitoring of soil properties. This technique …
Simultaneous prediction of soil properties from VNIR-SWIR spectra using a localized multi-channel 1-D convolutional neural network
The use of visible near-infrared and shortwave-infrared (VNIR-SWIR) diffuse reflectance
spectroscopy for the estimation of soil properties is increasingly maturing with large-scale …
spectroscopy for the estimation of soil properties is increasingly maturing with large-scale …
Automated spectroscopic modelling with optimised convolutional neural networks
Z Shen, RA Viscarra Rossel - Scientific Reports, 2021 - nature.com
Convolutional neural networks (CNN) for spectroscopic modelling are currently tuned
manually, and the effects of their hyperparameters are not analysed. These can result in sub …
manually, and the effects of their hyperparameters are not analysed. These can result in sub …
An integrated methodology using open soil spectral libraries and Earth Observation data for soil organic carbon estimations in support of soil-related SDGs
There is a growing realization amongst policy-makers that reliable and accurate soil
monitoring information is required at scales ranging from regional to global to support …
monitoring information is required at scales ranging from regional to global to support …
Employing a multi-input deep convolutional neural network to derive soil clay content from a synergy of multi-temporal optical and radar imagery data
Earth observation (EO) has an immense potential as being an enabling tool for mapping
spatial characteristics of the topsoil layer. Recently, deep learning based algorithms and …
spatial characteristics of the topsoil layer. Recently, deep learning based algorithms and …
Predicting soil properties and interpreting vis-NIR models from across Continental United States
CM Clingensmith, S Grunwald - Sensors, 2022 - mdpi.com
The United States NRCS has a soil database that has data collected from across the country
over the last several decades. This also includes soil spectral scans. This data is available …
over the last several decades. This also includes soil spectral scans. This data is available …