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Soil salinity: A global threat to sustainable development
Soil is a vital resource for feeding the burgeoning global population, and it is also essential
for realizing most of the 'United Nations Sustainable Development Goals (SDGs)'. For …
for realizing most of the 'United Nations Sustainable Development Goals (SDGs)'. For …
Soil salinization management for sustainable development: A review
The expansion of irrigated agriculture is of paramount importance to feed the burgeoning
global population. However, without proper management, this expansion can result in …
global population. However, without proper management, this expansion can result in …
Assessing the performance of machine learning algorithms for soil salinity map** in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data
Soil salinization caused by natural and anthropogenic factors is an important environmental
hazard especially in arid and semi-arid regions of the world. Accumulation of salts in the soil …
hazard especially in arid and semi-arid regions of the world. Accumulation of salts in the soil …
Spatial prediction of soil aggregate stability and soil organic carbon in aggregate fractions using machine learning algorithms and environmental variables
Abstract Knowledge about the spatial variability of soil aggregate stability indices, soil
organic carbon (SOC) in various aggregate sizes, and aggregation across the landscape is …
organic carbon (SOC) in various aggregate sizes, and aggregation across the landscape is …
[HTML][HTML] Digital map** of soil salinization based on Sentinel-1 and Sentinel-2 data combined with machine learning algorithms
G Ma, J Ding, L Han, Z Zhang, S Ran - Regional Sustainability, 2021 - Elsevier
Soil salinization is one of the most important causes of land degradation and desertification,
especially in arid and semi-arid areas. The dynamic monitoring of soil salinization is of great …
especially in arid and semi-arid areas. The dynamic monitoring of soil salinization is of great …
An automated deep learning convolutional neural network algorithm applied for soil salinity distribution map** in Lake Urmia, Iran
Traditional soil salinity studies are time-consuming and expensive, especially over large
areas. This study proposed an innovative deep learning convolutional neural network (DL …
areas. This study proposed an innovative deep learning convolutional neural network (DL …
Global soil salinity estimation at 10 m using multi-source remote sensing
Salinization is a threat to global agricultural and soil resource allocation. Current
investigations of global soil salinity are limited to coarse spatial resolution of the available …
investigations of global soil salinity are limited to coarse spatial resolution of the available …
Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models
The low potential of agricultural productivity in the majority of central Iran is mainly attributed
to high levels of soil salinity. To increase agricultural productivity, while preventing any …
to high levels of soil salinity. To increase agricultural productivity, while preventing any …
Characterizing soil salinity at multiple depth using electromagnetic induction and remote sensing data with random forests: A case study in Tarim River Basin of …
Abstract Tarim River Basin is experiencing heavy soil degeneration in a long term because
of the extreme natural conditions, added with improper human activities such as reclamation …
of the extreme natural conditions, added with improper human activities such as reclamation …
[HTML][HTML] Integrating remote sensing and landscape characteristics to estimate soil salinity using machine learning methods: A case study from Southern **njiang …
Soil salinization, one of the most severe global land degradation problems, leads to the loss
of arable land and declines in crop yields. Monitoring the distribution of salinized soil and …
of arable land and declines in crop yields. Monitoring the distribution of salinized soil and …