A deep learning image segmentation model for agricultural irrigation system classification

E Raei, AA Asanjan, MR Nikoo, M Sadegh… - … and Electronics in …, 2022 - Elsevier
Effective water management requires a large-scale understanding of agricultural irrigation
systems and how they shift in response to various stressors. Here, we leveraged advances …

Analyzing variation of water inflow to inland lakes under climate change: integrating deep learning and time series data mining

H Wang, Y Li, G Huang, Y Ma, Q Zhang, Y Li - Environmental Research, 2024 - Elsevier
The alarming depletion of global inland lakes in recent decades makes it essential to predict
water inflow from rivers to lakes (WIRL) trend and unveil the dominant influencing driver …

Post-fire hydrologic analysis: a tale of two severities

K Fallon, SJ Wheelock, M Sadegh… - Hydrological …, 2024 - Taylor & Francis
Addressing post-fire impacts largely depends on burn “severity.” A singular severity
classification that encompasses the holistic effects of fire on all ecosystem processes does …

A comprehensive investigation of the causes of drying and increasing saline dust in the Urmia Lake, northwest Iran, via ground and satellite observations, synoptic …

NH Hamzeh, K Shukurov, K Mohammadpour… - Ecological …, 2023 - Elsevier
Nowadays, dried lakes have turned into important dust sources with serious environmental,
climatic and socio-economic impacts. In this study, climatic, terrestrial and anthropogenic …

Anthropogenic decline of ancient, sustainable water systems: qanats

M Maghrebi, R Noori, M Sadegh, F Sarvarzadeh… - …, 2023 - Wiley Online Library
Qanat is an ancient underground structure to abstract groundwater without the need for
external energy. A recognized world heritage, Qanat has enabled civilization in arid and …

[HTML][HTML] Desiccation of the transboundary Hamun Lakes between Iran and Afghanistan in response to hydro-climatic droughts and anthropogenic activities

M Akbari, A Mirchi, A Roozbahani, A Gafurov… - Journal of Great Lakes …, 2022 - Elsevier
This paper investigates the hydro-climatic reasons behind the desiccation of the Hamun
Lakes in the Iran-Afghanistan border. We analyzed changes in the flow of the Hirmand River …

Improved burned area mapping using monotemporal Landsat-9 imagery and convolutional shift-transformer

ST Seydi, M Sadegh - Measurement, 2023 - Elsevier
Satellite imagery, specifically Landsat, have been widely used for mapping and monitoring
wildfire burned areas. The new Landsat-9 satellite–with higher radiometric resolution …

Soft Computing Paradigm for Climate Change Adaptation and Mitigation in Iran, Pakistan, and Turkey: A Systematic Review

M Talha, AP Nejadhashemi, K Moller - Heliyon, 2025 - cell.com
This systematic review examines the application of artificial intelligence (AI), including
machine learning (ML) and deep learning (DL), for climate change adaptation and mitigation …

Comparing the capability of sentinel-2 and Landsat 9 imagery for mapping water and sandbars in the river bed of the Lower Tagus River (Portugal)

R Gerardo, IP de Lima - Remote Sensing, 2023 - mdpi.com
Mapping river beds to identify water and sandbars is a crucial task for understanding the
morphology and hydrodynamics of rivers and their ecological conditions. The main …

Assessment of the trust crisis between upstream and downstream states of the Helmand River Basin (1973–2022): a half-century of optimism or cynicism?

N Loodin, G Eckstein, VP Singh, R Sanchez - ACS Es&t Water, 2023 - ACS Publications
Building trust is the foundation for reliable and sustainable cooperation between upstream
and downstream riparians of a shared watercourse. This research aimed to assess the …