[HTML][HTML] Remote sensing of soil degradation: Progress and perspective
Soils constitute one of the most critical natural resources and maintaining their health is vital
for agricultural development and ecological sustainability, providing many essential …
for agricultural development and ecological sustainability, providing many essential …
Environmental salinization processes: Detection, implications & solutions
G Ondrasek, Z Rengel - Science of the Total Environment, 2021 - Elsevier
A great portion of Earth's freshwater and land resources are salt-affected and thus have
restricted use or may become unsuitable for most human activities. Some of the recent …
restricted use or may become unsuitable for most human activities. Some of the recent …
Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
B Feizizadeh, D Omarzadeh… - Journal of …, 2023 - Taylor & Francis
With the recent advances in earth observation technologies, the increasing availability of
data from more and more different satellite sensors as well as progress in semi-automated …
data from more and more different satellite sensors as well as progress in semi-automated …
Prediction of soil organic carbon and the C: N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and …
T Zhou, Y Geng, C Ji, X Xu, H Wang, J Pan… - Science of the Total …, 2021 - Elsevier
Soil organic carbon (SOC) and soil carbon-to-nitrogen ratio (C: N) are the main indicators of
soil quality and health and play an important role in maintaining soil quality. Together with …
soil quality and health and play an important role in maintaining soil quality. Together with …
Updated soil salinity with fine spatial resolution and high accuracy: The synergy of Sentinel-2 MSI, environmental covariates and hybrid machine learning approaches
Soil salinization is the main source of global soil degradation. It has impeded progress
towards sustainable development goals (SDGs) by threatening 20% of irrigated areas …
towards sustainable development goals (SDGs) by threatening 20% of irrigated areas …
Assessing the performance of machine learning algorithms for soil salinity mapping 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 …
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 …
sustainable agricultural development of arid regions. As a branch of artificial intelligence …
Strigolactones can be a potential tool to fight environmental stresses in arid lands
Background Environmental stresses pose a significant threat to plant growth and ecosystem
productivity, particularly in arid lands that are more susceptible to climate change …
productivity, particularly in arid lands that are more susceptible to climate change …
The effect of drought on vegetation gross primary productivity under different vegetation types across China from 2001 to 2020
Highlights Two drought indices (SPEI and VPD) were used to characterize the degree of
dryness/wetness. The water deficit represented by two drought indices was mostly …
dryness/wetness. The water deficit represented by two drought indices was mostly …
Ensemble machine-learning-based framework for estimating total nitrogen concentration in water using drone-borne hyperspectral imagery of emergent plants: A case …
In arid and semi-arid regions, water-quality problems are crucial to local social demand and
human well-being. However, the conventional remote sensing-based direct detection of …
human well-being. However, the conventional remote sensing-based direct detection of …