Estimating and mapping the dynamics of soil salinity under different crop types using Sentinel-2 satellite imagery

Geoderma, Journal Year: 2023, Volume and Issue: 440, P. 116738 - 116738

Published: Dec. 1, 2023

Soil salinization is one of the main factors contributing to land degradation, affecting ecological equilibrium, environmental health, and sustainable development agriculture. Due spatial temporal heterogeneity soil properties conditions in a large-scale region, monitoring accuracy can be challenging. This study investigated whether classification diverse crop types on time series improve prediction regional salinity levels. Specifically, we evaluated changes salt content (SSC) under vegetation cover over Hetao Irrigation District (HID) using multi-phase Sentinel-2 imagery ground-truth data collected from June September 2021 2022. Focused sunflower maize fields, this analyzed impact classifying these two examining four distinct SSC estimation. Five indices were selected as characteristic parameters pool 17 (VIs) 13 (SIs) derived satellite images. Moreover, three machine learning algorithms used establish estimation models. The findings underscored efficacy considering different enhancing response sensitivity spectral improving modeling accuracy. Among indices, VIs made more contributions model than SIs, achieving highest coefficient determination (R2) 0.71. artificial neural networks algorithm outperformed other terms stability, yielding an optimal R2 0.72 Root Mean Square Error (RMSE) 0.15%. proposed mapping approach that considers various series, offering valuable insights for accurately assessing salinization, guiding strategies its prevention remediation.

Language: Английский

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Inversion Model of Salt Content in Alfalfa-Covered Soil Based on a Combination of UAV Spectral and Texture Information

Agriculture, Journal Year: 2023, Volume and Issue: 13(8), P. 1530 - 1530

Published: Aug. 1, 2023

This study aimed to investigate how the combination of texture information and spectral index affects accuracy soil salinity inversion model. Taking Bianwan Farm in Jiuquan City, Gansu Province, China as research area, multi-spectral data at 0–15 cm, 15–30 cm 30–50 depths sampling area under alfalfa coverage were collected, reflectance features obtained from a multispectral image. Moreover, red-edge band was introduced improve index, gray correlation analysis utilized screen sensitive features. Five types alfalfa-covered machine learning models based on random forest (RF) extreme (ELM) algorithms constructed, using (SIs), vegetation (VIs), + (SIs VIs), feature (VIs TFs), TIs). The determination coefficient R2, root-mean-square error (RMSE) mean absolute (MAE) used evaluate each model’s performance. results show that VIs model is more accurate than SIs +VIs models. Combining with improves accuracy, TIs has best effect. From perspective depth, effect for significantly better other depths, depth cover. average R2 RF 10% higher ELM. algorithm high stability performs These findings can serve theoretical basis efficient management saline–alkali lands.

Language: Английский

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Spatiotemporal Variations Affect DTPA-Extractable Heavy Metals in Coastal Salt-Affected Soils of Arid Regions

Soil Systems, Journal Year: 2025, Volume and Issue: 9(1), P. 26 - 26

Published: March 10, 2025

The concept of metal bioavailability in soils is increasingly becoming the key to addressing potential risks. Yet, space–time variations heavy concentrations salt-affected still vague. current work, therefore, first attempt address spatial and seasonal analyses metals a Mediterranean arid agroecosystem. This study was conducted coastal area northeastern Egypt as an example. DTPA-extractable Cr, Co, Cu, Fe, Pb, Mn, Ni, Zn addition main properties 70 georeferenced soil samples (0–30 cm) were determined during wet (March) dry (September) seasons. results revealed that except for all stood below safe limits. On average, Cu 4.1- 5-fold acceptable limit 0.20 mg kg−1, respectively. statistical analysis indicated greatly affect Zn. Compared with season, significant increases 1.25, 1.50, 1.28-fold these occurred principal component affirmed presence Ni closely related geogenic factors; meanwhile, agronomic practices likely inputs geostatistical illustrated geographic variability due interactions natural stochastic processes. Farming controlled Pb (in period), Co period). effect processes period evident which showed strong variability. kriged maps tended increase seaward found be affected by pH, salt ions, exchangeable Na+. Moreover, both silt organic matter content had profound impacts on distribution while distributions linked CaCO3 content. suggested mechanisms governing sorption complexation ligands (for Ni), redox Cr), dissolution–precipitation Mn), ion exchange Zn). this affirm drying–wetting cycles regions. These findings imply seasonality (wet dry) spatiality should considered monitoring rehabilitation degraded under similar ecological conditions.

Language: Английский

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Inheritance of Some Salt Tolerance-Related Traits in Bread Wheat (Triticum aestivum L.) at the Seedling Stage: A Study of Combining Ability

Plants, Journal Year: 2025, Volume and Issue: 14(6), P. 911 - 911

Published: March 14, 2025

The worldwide rise in soil salinization is among the most critical consequences of climate change, posing a significant threat to food security. Wheat (Triticum aestivum L.), staple crop paramount importance worldwide, encounters production limitations due abiotic stressors, particularly salinity. Consequently, development and cultivation salt-tolerant wheat genotypes have emerged as an essential strategy sustain agricultural productivity safeguard global aim present study was investigate effect salinity (150 mM) on performance combining ability 10 hybrid combinations (F2) their parents that were obtained through line × tester mating design at seedling stage. Morphological, physiological, biochemical traits assessed under both control salt-stress conditions. Among traits, SFW strongest predictor salt tolerance, demonstrating highest correlation with MFVS greatest contribution regression model. results highlighted distinct responses studied genotypes. Hybrid H5 demonstrated particular promise, surpassing superior parent for Na+, K+, K+/Na+ proline (Pro). Furthermore, T1 good combiner (Pro), total soluble sugars content (Sug), chlorophyll (Chl) root length (RL) saline In contrast, conditions, L1 testers T2, T3, T5 exhibited performance, general (GCA) effects four simultaneously. H4 outstanding stress, exhibiting favorable specific (SCA) ratio, (RL), relative water (RWC), (Sug). Under normal hybrids H7 H10 significantly across three Non-additive genetic predominantly influenced parental show promise incorporation into breeding programs designed improve tolerance conditions studied.

Language: Английский

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Hydroponic Screening at Early Seedling Stage Identified Sources of Salinity Tolerance in Wheat (Triticum aestivum L.) Crop

Agronomy, Journal Year: 2024, Volume and Issue: 14(5), P. 984 - 984

Published: May 8, 2024

Wheat is a vital crop globally, essential for agriculture, economics, and food security. However, in arid semi-arid conditions, wheat production faces significant challenges due to low water availability, uneven rainfall distribution, high soil salinity. The germination early seedling stages are particularly vulnerable these stresses. Therefore, this study assessed 15 genotypes their tolerance salinity stress during growth stages, using hydroponic system with four salt levels (0, 50, 100, 150 mM NaCl). Significant differences were observed genotype main effects interaction on all investigated traits, indicating considerable variability the response among cultivars. High NaCl concentrations led substantial reductions measured parameters across genotypes, some showing resilience while others exhibited heightened sensitivity. Stress indices, such as mean productivity (MP), geometric (GMP), harmonic (HM), index (STI) yield (YI), identified reliable indicators selecting salt-tolerant Consequently, Sidi Okba (G11), Ziad (G12), Tamezghida (G13) Zidane (G14) emerged most promising, displaying acceptable performance under both non-stress salt-stress conditions. These could serve valuable genetic resources breeding programs aimed at enhancing wheat’s tolerance, regions.

Language: Английский

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