[HTML][HTML] Flooding and its relationship with land cover change, population growth, and road density

M Rahman, C Ningsheng, GI Mahmud, MM Islam… - Geoscience …, 2021 - Elsevier
Bangladesh experiences frequent hydro-climatic disasters such as flooding. These disasters
are believed to be associated with land use changes and climate variability. However …

Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data

S Aksoy, A Yildirim, T Gorji, N Hamzehpour… - Advances in Space …, 2022 - Elsevier
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 …

Deep learning approaches in remote sensing of soil organic carbon: A review of utility, challenges, and prospects

O Odebiri, O Mutanga, J Odindi, R Naicker… - Environmental …, 2021 - Springer
The use of neural network (NN) models for remote sensing (RS) retrieval of landscape
biophysical and biochemical properties has become popular in the last decade. Recently …

Delineating and identifying risk zones of soil heavy metal pollution in an industrialized region using machine learning

D Chen, X Wang, X Luo, G Huang, Z Tian, W Li… - Environmental …, 2023 - Elsevier
The ability to control the risk of soil heavy metal pollution is limited by the inability to
accurately depict their spatial distributions and to reasonably delineate the risk zones. To …

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran

F Hateffard, S Mohammed, K Alsafadi, GO Enaruvbe… - Scientific reports, 2021 - nature.com
Soil erosion (SE) and climate change are closely related to environmental challenges that
influence human wellbeing. However, the potential impacts of both processes in semi-arid …

[HTML][HTML] Location-allocation modeling for emergency evacuation planning with GIS and remote sensing: A case study of Northeast Bangladesh

M Rahman, N Chen, MM Islam, A Dewan… - Geoscience …, 2021 - Elsevier
This work developed models to identify optimal spatial distribution of emergency evacuation
centers (EECs) such as schools, colleges, hospitals, and fire stations to improve flood …

TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates

J Yu, W Zheng, L Xu, F Meng, J Li, L Zhangzhong - Journal of Hydrology, 2022 - Elsevier
Maize is one of the major crops in China. The soil water content (SWC) in the root zone of
maize is a critical indicator that guides agricultural production decisions and can affect …

Digital mapping of soil texture classes for efficient land management in the Piedmont plain of Iran

A Keshavarzi, MÁS del Árbol, F Kaya… - Soil Use and …, 2022 - Wiley Online Library
Accurate prediction of digital soil maps allows for the evaluation of larger areas with respect
to the design of efficient land management plans at the regional scale. Nowadays, there is …

Computational intelligence applied to soil quality index using GIS and geostatistical approaches in semiarid ecosystem

H Şenol, P Alaboz, S Demir, O Dengiz - Arabian Journal of Geosciences, 2020 - Springer
The importance of soil quality is increasing every passing day for sustainable agriculture. In
recent years, the investigation of the classification of soil quality with some classification …

Machine learning for gully feature extraction based on a pan-sharpened multispectral image: Multiclass vs. Binary approach

K Phinzi, D Abriha, L Bertalan, I Holb… - … International Journal of …, 2020 - mdpi.com
Gullies reduce both the quality and quantity of productive land, posing a serious threat to
sustainable agriculture, hence, food security. Machine Learning (ML) algorithms are …