Modeling soil processes: Review, key challenges, and new perspectives

H Vereecken, A Schnepf, JW Hopmans… - Vadose zone …, 2016 - pubs.geoscienceworld.org
The remarkable complexity of soil and its importance to a wide range of ecosystem services
presents major challenges to the modeling of soil processes. Although major progress in soil …

Close-range, ground-based hyperspectral imaging for mining applications at various scales: Review and case studies

D Krupnik, S Khan - Earth-science reviews, 2019 - Elsevier
Detailed mapping of mineral phases at centimeter scale can be useful for geological
investigation, including resource exploration. This work reviews case histories of ground …

Specim IQ: evaluation of a new, miniaturized handheld hyperspectral camera and its application for plant phenotyping and disease detection

J Behmann, K Acebron, D Emin, S Bennertz… - Sensors, 2018 - mdpi.com
Hyperspectral imaging sensors are promising tools for monitoring crop plants or vegetation
in different environments. Information on physiology, architecture or biochemistry of plants …

Advantages of fuzzy k-means over k-means clustering in the classification of diffuse reflectance soil spectra: A case study with West African soils

J Heil, V Häring, B Marschner, B Stumpe - Geoderma, 2019 - Elsevier
The amount of data in soil science increased at exponential rates over the last decades,
promoted by rapid technological innovation. This development led to a better understanding …

Integrating hyperspectral imaging with machine learning techniques for the high-resolution mapping of soil nitrogen fractions in soil profiles

S Xu, M Wang, X Shi, Q Yu, Z Zhang - Science of The Total Environment, 2021 - Elsevier
Soil nitrogen (N) plays a central role in soil quality and biogeochemical cycles. However,
little is known about the distribution and spatial variability of the different fractions of soil N …

Hotspots of soil organic carbon storage revealed by laboratory hyperspectral imaging

E Hobley, M Steffens, SL Bauke, I Kögel-Knabner - Scientific Reports, 2018 - nature.com
Subsoil organic carbon (OC) is generally lower in content and more heterogeneous than
topsoil OC, rendering it difficult to detect significant differences in subsoil OC storage. We …

[HTML][HTML] Digital mapping of soil properties using multivariate statistical analysis and ASTER data in an arid region

S Nawar, H Buddenbaum, J Hill - Remote Sensing, 2015 - mdpi.com
Modeling and mapping of soil properties has been identified as key for effective land
degradation management and mitigation. The ability to model and map soil properties at …

Hyperspectral imaging for high-resolution mapping of soil carbon fractions in intact paddy soil profiles with multivariate techniques and variable selection

S Xu, M Wang, X Shi - Geoderma, 2020 - Elsevier
Soil organic carbon (SOC) and its labile C fractions play a central role in soil quality and C
cycles. This study aimed to investigate the potential of laboratory-based hyperspectral …

How “hot” are hotspots: statistically localizing the high-activity areas on soil and rhizosphere images

N Bilyera, I Kuzyakova, A Guber, BS Razavi… - Rhizosphere, 2020 - Elsevier
The topic of microbial hotspots in soil requires not only visualizing their spatial distribution
and biochemical analyses, but also statistical approaches to identify these hotspots and …

National comparison of the total and sequestered organic matter contents of conventional and organic farm soils

EA Ghabbour, G Davies, T Misiewicz, RA Alami… - Advances in …, 2017 - Elsevier
Intensive agriculture has been linked to declining soil fertility and is a known source of
greenhouse gas emissions. Decline in soil organic matter (SOM) is of particular concern due …