Computers in Earth and Environmental Sciences

1. Predicting Dissolved Oxygen Concentration in River using New Advanced Machines Learning: Long-Short Term Memory (LSTM) Deep Learning.

2. Fractal analysis of valley sections in geological formations of arid areas

3. Data-driven approach for estimating contaminants in natural water

4. Application of analytical hierarchy process (AHP) in landslide susceptibility mapping for Qazvin province, N Iran

5. Assessment of machine learning algorithms in land use classification

6. Evaluation of land use change predictions using CA-Markov model and managerial scenarios

7. Topographical features and soil erosion processes

8. Mapping the NDVI and monitoring of its changes using Google Earth Engine and Sentinel-2 images

9. Spatiotemporal Urban Sprawl and Land Resource Assessment using Google Earth Engine Platform in Lahore District, Pakistan

10. Using OWA - AHP method to predict landslide-prone areas

11. Multi-scale drought hazard assessment in the Philippines

12. Selection of the best pixel-based algorithm for land cover mapping in Zagros forests of Iran using Sentinel-2A satellite image: A case study in Khuzestan province

13. Identify the important driving forces on gully erosion, Chaharmahal and Bakhtiari province, Iran

14. Analysis of social resilience of villagers in the face of drought using LPCIEA indicator, Case study: Downstream of Dorodzan dam, Iran

15. Spatial and seasonal modelling of land surface temperature using Random Forest

16. Municipal solid waste landfill suitability analysis through spatial multi-criteria decision analysis: a case study

17. Predictive habitat suitability models for Teucrium polium L. using boosted regression trees

18. Ecoengineering practices for Soil degradation protection for vulnerable hill slopes

19. Soft computing applications in rainfall induced landslide analysis and protection – Recent trends, techniques, and opportunities

20. Remote sensing and machine learning techniques to monitor fluvial corridor evolution: the Aras River between Iran and Azerbaijan

21. Studies on potential plant selection focusing on soil bioengineering application for land degradation protection

22. IoT applications in landslide prediction and abatement – Trends, opportunities and challenge

23. Application of WEPP model for runoff and sediment yield simulation from ungauged watershed in Shivalik foothills

24. Parameter estimation of a new four-parameter Muskingum flood routing model

25. Predicting areas affected by forest fire based on machine learning algorithm

26. Management of pest-infected oak trees using remote sensing-based classification algorithms and GIS data

27. The COVID-19 Crisis and Its Consequences for Global Warming and Climate Change

28. Earthquake anomalies for global events from GNSS TEC and other satellites

29. Landslide spatial modelling using a bivariate statistical method in Kermanshah Province, Iran

30. Normalized Difference Vegatation Index analysis of Forest Cover Change Detection in Paro Dzongkhag, Bhutan

31. Rate of penetration prediction in drilling wells from the Hassi Messaoud oil field (SE Algeria): use of artificial intelligence techniques and environmental implications

32. Soil erodibility and its influential factors in arid and semi-arid regions of the Middle-East

33. Non-carcinogenic health risk assessment of fluoride in groundwater of the alluvial plains of River Yamuna, Delhi, India

34. Digital soil mapping of organic carbon at two depths in loess hilly region of Northern Iran

35. Hydrochemistry and geogenic pollution assessment of groundwater in Akşehir (Konya/Turkey) using GIS

36. Comparison of the frequency ratio, index of entropy, and artificial neural networks models for landslide susceptibility mapping: A case study in Pınarbaşı/Kastamonu (North of Turkey)

37. Remote Sensing Technology for Post-Disaster Building Damage Assessment

38. Doing More with Less: Coupling Morphometric Indices for Automated Gully Pattern Extraction (A Case Study in the Southeast of Iran)

39. Identification of land subsidence prone areas and its mapping using machine learning algorithms

40. Monitoring of Spatiotemporal Changes of Soil Salinity and Alkalinity in Eastern and Central Parts of Iran

41. Fine-grain Sparse Woodlands Mapping, Using Kernel-based Granulometry of Textural Pattern Measures on Satellite Imageries

42. Badland erosion mapping and effective factors on its occurrence using random forest model

43. Application of machine learning algorithms in Hydrology

44. Digital soil mapping of bulk density in loess derived- soils with complex topography

45. Landslide Susceptibility Mapping along the Thimphu-Phuentsholing Highway using Machine Learning

46. Drought Assessment using the Standardized Precipitation Index (SPI) in Greece

47. COVID-19: An overview on official reports in Iran and world along with some comparisons to other hazards

48. Multi-hazard risk analysis and governance across a provincial capital in northern Iran