[HTML][HTML] Machine learning and remote sensing techniques applied to estimate soil indicators–review

FA Diaz-Gonzalez, J Vuelvas, CA Correa, VE Vallejo… - Ecological …, 2022 - Elsevier
The demand for food based on intensive agriculture has decreased soil quality, posing great
challenges such as increasing agricultural productivity and promoting environmental …

Imaging spectroscopy for soil map** 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 …

Hyperspectral imagery applications for precision agriculture-a systemic survey

PK Sethy, C Pandey, YK Sahu, SK Behera - Multimedia Tools and …, 2022 - Springer
Hyperspectral imaging has been extensively investigated as an emerging, promising
technique for measuring the quality and protection of horticultural and agricultural products …

Data products, quality and validation of the DLR earth sensing imaging spectrometer (DESIS)

K Alonso, M Bachmann, K Burch, E Carmona, D Cerra… - Sensors, 2019 - mdpi.com
Imaging spectrometry from aerial or spaceborne platforms, also known as hyperspectral
remote sensing, provides dense sampled and fine structured spectral information for each …

[HTML][HTML] Intensify production, transform biomass to energy and novel goods and protect soils in Europe—A vision how to mobilize marginal lands

P Schröder, B Beckers, S Daniels, F Gnädinger… - Science of the Total …, 2018 - Elsevier
The rapid increase of the world population constantly demands more food production from
agricultural soils. This causes conflicts, since at the same time strong interest arises on novel …

[HTML][HTML] High-resolution soil erosion map** in croplands via Sentinel-2 bare soil imaging and a two-step classification approach

L Qi, Y Zhou, K Van Oost, J Ma, B van Wesemael, P Shi - Geoderma, 2024 - Elsevier
Erosion-induced lateral soil redistribution leads to spatially heterogenous soil composition,
which can be captured through the distinctive spectral reflectance of soils under varying …

Towards prediction of soil erodibility, SOM and CaCO3 using laboratory Vis-NIR spectra: A case study in a semi-arid region of Iran

Y Ostovari, S Ghorbani-Dashtaki, HA Bahrami… - Geoderma, 2018 - Elsevier
Abstract Soil Visible–Near-Infrared (Vis-NIR) spectroscopy has become an applicable and
interesting technique to evaluate a number of soil properties because it is a fast, cost …

Digital map** of soil organic carbon density using newly developed bare soil spectral indices and deep neural network

Q Liu, L He, L Guo, M Wang, D Deng, P Lv, R Wang… - Catena, 2022 - Elsevier
Soil organic carbon density (SOCD) is an important parameter of agricultural soils and is
useful for the improvement of environment and agricultural production. Proximal and remote …

Ensemble feature selection for plant phenoty**: a journey from hyperspectral to multispectral imaging

A Moghimi, C Yang, PM Marchetto - IEEE Access, 2018 - ieeexplore.ieee.org
Hyperspectral imaging is becoming an increasingly popular tool for high-throughput plant
phenoty**, because it provides remarkable insights about the health status of plants …

Monitoring of selected soil contaminants using proximal and remote sensing techniques: Background, state-of-the-art and future perspectives

A Gholizadeh, M Saberioon, E Ben-Dor… - Critical reviews in …, 2018 - Taylor & Francis
Soil degradation includes a number of processes, ranging from soil erosion to soil
contamination, which reduce the capability of soil to work as a base for vegetation roots …