Soil salinity mapping using machine learning algorithms with the Sentinel-2 MSI in arid areas, China

J Wang, J Peng, H Li, C Yin, W Liu, T Wang, H Zhang - Remote Sensing, 2021 - mdpi.com
Accurate monitoring of soil salinization plays a key role in the ecological security and
sustainable agricultural development of arid regions. As a branch of artificial intelligence …

Estimating soil salinity in the dried lake bed of Urmia Lake using optical Sentinel-2 images and nonlinear regression models

N Farahmand, V Sadeghi - Journal of the Indian Society of Remote …, 2020 - Springer
Soil salinization is one of the serious environmental problems in arid and semiarid regions.
As an effective technique for monitoring soil salinity, remote sensing (RS) technology has …

AGA-SVR-based selection of feature subsets and optimization of parameter in regional soil salinization monitoring

H Xu, C Chen, H Zheng, G Luo, L Yang… - … Journal of Remote …, 2020 - Taylor & Francis
Salinization is a major eco-environmental threat in arid and semi-arid regions. Machine
learning combined with salinization-related factors extracted from satellite images and …

Spatial and temporal patterns of soil salinization in shallow groundwater environments of the Bahía Blanca estuary: Influence of topography and land use

C Celleri, P Pratolongo, M Arena - Land Degradation & …, 2022 - Wiley Online Library
Soil salinization is considered an environmental threat as high salt content hinders plant
growth. Soil salinity is usually associated with climate aridity at a regional scale, while …

Adaptive estimation of multi-regional soil salinization using extreme gradient boosting with Bayesian TPE optimization

B Chen, H Zheng, G Luo, C Chen, A Bao… - … Journal of Remote …, 2022 - Taylor & Francis
Soil salinization endangers the development of ecological agriculture. As soil salinization is
often heavily affected by regional environments, difficulties arise when constructing an …

Identification of plant species in an alpine steppe of Northern Tibet using close-range hyperspectral imagery

E Liu, H Zhao, S Zhang, J He, X Yang, X Xiao - Ecological Informatics, 2021 - Elsevier
The identification of plant species in alpine steppes of Northern Tibet is of great significance
for revealing community structures and for monitoring vegetation degradation and …

Salinity properties retrieval from Sentinel-2 satellite data and machine learning algorithms

N Mzid, O Boussadia, R Albrizio, AM Stellacci… - Agronomy, 2023 - mdpi.com
The accurate monitoring of soil salinization plays a key role in the ecological security and
sustainable agricultural development of semiarid regions. The objective of this study was to …

Climate Interprets Saturation Value Variations Better Than Soil and Topography in Estimating Oak Forest Aboveground Biomass Using Landsat 8 OLI Imagery

Y Wu, G Ou, T Huang, X Zhang, C Liu, Z Liu, Z Yu… - Remote Sensing, 2024 - mdpi.com
The optical saturation problem is one of the main factors causing uncertainty in
aboveground biomass (AGB) estimations using optical remote sensing data. It is critical for …

Use of different vegetation indices for the evaluation of the kinetics of the cherry tomato (Solanum lycopersicum var. cerasiforme) growth based on multispectral …

O Chávez-Martínez, SA Monjardin-Armenta… - Open …, 2024 - degruyter.com
This study evaluated seven vegetation indices for the monitoring of a cherry tomato crop
using an unmanned aerial vehicle with a multispectral camera that measures in the green …

A novel spectral index for rapid dust-proof net mapping based on Sentinel-2 images

C Zhang, L Zhou, M Du, Q Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dust-proof net (DPN) is a plastic material used for covering exposed land. While the primary
function of DPN is to mitigate dust pollution significantly, it also inadvertently contributes to …