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Hybrid heterogeneous ensemble learning framework for flood susceptibility mapping in Balochistan, Pakistan

Muhammad Afaq Hussain, Zhanlong Chen, Biswajeet Pradhan, Sansar Raj Meena et al. • Journal of Hydrology: Regional Studies (2025)

Study region: The National Highways 85 and 50, key routes of the China–Pakistan Economic Corridor (CPEC) in Balochistan, Pakistan. Study focus: Flooding is a natural disaster that is becoming increasingly frequent and severe. The National H...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejrh.2025.102718

Validation of Sentinel-2 (MSI) and Sentinel-3 (OLCI) Water Quality Products in Turbid Estuaries Using Fixed Monitoring Stations

Mhd. Suhyb Salama, Lazaros Spaias, Kathrin Poser, Steef Peters et al. • Frontiers in Remote Sensing (2022)

It is common in estuarine waters to place fixed monitoring stations, with the advantages of easy maintenance and continuous measurements. These two features make fixed monitoring stations indispensable for understanding the optical complexi...

DOAJ Open Access (DOAJ) DOI: 10.3389/frsen.2021.808287

Agricultural Use of Lands Affected by Deep-Seated Landslides in the Transylvanian Basin and Its Consequences on Soil Physicochemical Properties

Gheorghe Roșian, Mihai Buta, Csaba Horvath • Applied Sciences (2026)

Land leveling deep-seated landslides for agricultural use alters soil profile integrity and soil functionality. In the mid-20th century, such interventions in the Transylvanian Basin (Romania) involved grading and converting landslide bodie...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16083744

Topograpaphic controls and future vulnerability of recurrent snowpatches in the Gaspé Peninsula (Québec, Canada)

Valentin Riva, Daniel Germain • Arctic, Antarctic, and Alpine Research (2026)

Snowpatches are sensitive indicators of environmental change in mountain environments because their occurrence reflects interactions among topography, snow redistribution, and climate. Despite their ecological and geomorphological significa...

DOAJ Open Access (DOAJ) DOI: 10.1080/15230430.2026.2739774

Development of Machine Learning Models to Predict Compressed Sward Height in Walloon Pastures Based on Sentinel-1, Sentinel-2 and Meteorological Data Using Multiple Data Transformations

Charles Nickmilder, Anthony Tedde, Isabelle Dufrasne, Françoise Lessire et al. • Remote Sensing (2021)

Accurate information about the available standing biomass on pastures is critical for the adequate management of grazing and its promotion to farmers. In this paper, machine learning models are developed to predict available biomass express...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs13030408

Assessing carbon and economic loss from oak decline in Iran’s Zagros forests using Sentinel-2 and machine learning

Saied Pirasteh, Zohreh Bazvand, Naseh Miri, Zhaoxi Fang et al. • Geo-spatial Information Science (2026)

Over recent decades, the decline of oak trees, which has emerged as the most significant challenge to the Zagros forests (ZFs), poses serious threats to carbon storage (CS) and economic valuation, jeopardizing the ecological and economic su...

DOAJ Open Access (DOAJ) DOI: 10.1080/10095020.2026.2682739

Spatio-temporal assessment of Toumeyella parvicornis spread in mediterranean coastal pine forests through sentinel-2 data

Giovanni D’Amico • European Journal of Remote Sensing (2026)

Mediterranean coastal pine forests offer vital ecological and cultural benefits but face threats from climate change, urbanization, and pests. Among invasive agents, Toumeyella parvicornis is a severe threat to Pinus pinea along Italy's coa...

DOAJ Open Access (DOAJ) DOI: 10.1080/22797254.2026.2709014