Multi‐scale soil salinization dynamics from global to pore scale: A review

N Shokri, A Hassani, M Sahimi - Reviews of Geophysics, 2024 - Wiley Online Library
Soil salinization refers to the accumulation of water‐soluble salts in the upper part of the soil
profile. Excessive levels of soil salinity affects crop production, soil health, and ecosystem …

[HTML][HTML] Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net

M Aghdami-Nia, R Shah-Hosseini, A Rostami… - International Journal of …, 2022 - Elsevier
Sea-land segmentation (SLS) is an essential remote sensing task for various coastal and
environmental studies such as coastline extraction, coastal erosion, coastal area monitoring …

Multispectral data mining: A focus on remote sensing satellite images

SL Lim, J Sreevalsan‐Nair… - … Reviews: Data Mining …, 2024 - Wiley Online Library
This article gives a brief overview of various aspects of data mining of multispectral image
data. We focus on specifically the remote sensing satellite images acquired using …

A global meta-analysis of soil salinity prediction integrating satellite remote sensing, soil sampling, and machine learning

H Shi, O Hellwich, G Luo, C Chen, H He… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Despite the growing interest among researchers, satellite-based prediction of soil salinity
remains highly uncertain. The improvements in prediction accuracy reported in previous …

Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A …

F Nininahazwe, J Théau, G Marc Antoine… - GIScience & Remote …, 2023 - Taylor & Francis
Invasive alien plant species (IAPS) have negative impacts on ecosystems, including the loss
of biodiversity and the alteration of ecosystem functions. The strategy for mitigating these …

Future runoff assessment under climate change and land-cover alteration scenarios: a case study of the Zayandeh-Roud dam upstream watershed

A Ahmadi, J Jalali, A Mohammadpour - Hydrology Research, 2022 - iwaponline.com
In this study, hydrological responses to climate change and land-cover alteration on future
runoff in the Zayandeh-Roud dam upstream watershed were assessed. In this regard, land …

Oil palm yield prediction across blocks from multi-source data using machine learning and deep learning

Y Ang, HZM Shafri, YP Lee, SA Bakar, H Abidin… - Earth Science …, 2022 - Springer
Crop yield estimates are affected by various factors including weather, nutrients and
management practices. Predicting yields on a large scale in a timely and accurate manner …

[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 …

Estimating soil salinity using multiple spectral indexes and machine learning algorithm in songnen plain, China

Y Han, H Ge, Y Xu, L Zhuang, F Wang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Soil salinization is one of the most critical threats to land degradation in arid and semiarid
regions. This study is based on machine learning using Landsat 8 operational land imager …

Prediction of soil salinity/sodicity and salt-affected soil classes from soluble salt ions using machine learning algorithms

D Andrade Foronda, G Colinet - Soil Systems, 2023 - mdpi.com
Salt-affected soils are related to salinity (high content of soluble salts) and/or sodicity
(excess of sodium), which are major leading causes of agricultural land degradation. This …