[HTML][HTML] Advancements and Perspective in the Quantitative Assessment of Soil Salinity Utilizing Remote Sensing and Machine Learning Algorithms: A Review

F Wang, L Han, L Liu, C Bai, J Ao, H Hu, R Li, X Li… - Remote Sensing, 2024 - mdpi.com
Soil salinization is a significant global ecological issue that leads to soil degradation and is
recognized as one of the primary factors hindering the sustainable development of irrigated …

Application of near-infrared spectroscopy to predict chemical properties in clay rich soil: A review

S Park, S Jeon, NH Kwon, M Kwon, JH Shin… - European Journal of …, 2024 - Elsevier
Proximal soil sensing is a highly advanced and rapidly evolving technique for predicting soil
chemical properties. NIR spectroscopy is expected to offer an easier and more cost-effective …

[HTML][HTML] Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean

S Mohammed, S Arshad, B Bashir, B Ata… - Journal of …, 2024 - Elsevier
Soil salinization is a critical global issue for sustainable agriculture, impacting crop yields
and posing a threat to achieving the Sustainable Development Goal (SDG) of ensuring food …

Cyclone vulnerability assessment in the coastal districts of Bangladesh

SK Sarkar, RR Rudra, MMH Santo - Heliyon, 2024 - cell.com
This research aims to assess the vulnerability to cyclones in the coastal regions of
Bangladesh, employing a comprehensive framework derived from the Intergovernmental …

Future groundwater potential mapping using machine learning algorithms and climate change scenarios in Bangladesh

SK Sarkar, RR Rudra, S Talukdar, PC Das, MS Nur… - Scientific Reports, 2024 - nature.com
The aim of the study was to estimate future groundwater potential zones based on machine
learning algorithms and climate change scenarios. Fourteen parameters (ie, curvature …

Delineating the drought vulnerability zones in Bangladesh

SK Sarkar, S Das, RR Rudra, KMM Ekram, M Haydar… - Scientific Reports, 2024 - nature.com
The research aims to explore the vulnerability of Bangladesh to drought by considering a
comprehensive set of twenty-four factors, classified into four major categories …

Salinity challenges and adaptive strategies in salinization-affected coastal Bangladesh: Implications for agricultural sustainability and water resource management

ML Hossain, J Li - Environmental Research Letters, 2024 - iopscience.iop.org
Salinization has become a rising global concern due to its notable effects on agriculture and
freshwater resources. Coastal region of Bangladesh has been struggling with elevated …

[HTML][HTML] Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China

S Li, I Nurmemet, J Seydehmet, X Lv, Y Aili, X Yu - Land, 2024 - mdpi.com
Soil salinization is a critical global environmental issue, exacerbated by climatic and
anthropogenic factors, and posing significant threats to agricultural productivity and …

流域绿洲土壤盐分多模型反演效果评估

龙威夷, 施建飞, 李双媛, 孙金金, 王玉刚 - 干旱区研究, 2024 - azr.xjegi.com
为更好地实现区域土壤盐分的监测和治理, 促进绿洲可持续发展, 本文基于气候, 地形,
植被等相关数据, 结合三工河流域平原绿洲土壤表层盐分调查, 对比评估不同模型(随机森林 …

Digital Mapping of Soil Salinity in the Southern Steppe Zone of Russia Based on Artificial Neural Networks and Linear Regression

KO Prokopieva, IV Sobolev - Moscow University Soil Science Bulletin, 2024 - Springer
Remote sensing data are an important source of information for monitoring and mapping
vegetation cover. Machine-learning methods are a modern and powerful tool for data …