# Environmental Modelling & Software

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/environmental-modelling-and-software/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 1364-8152 |
| ISSNs | 1364-8152,1873-6726 |
| OpenAlex ID | https://openalex.org/S113611870 |
| Publisher | Elsevier BV |

## Journal papers

- [The Automated Geospatial Watershed Assessment tool](https://scholariq.org/papers/the-automated-geospatial-watershed-assessment-tool/)
- [Methods for translating narrative scenarios into quantitative assessments of land use change](https://scholariq.org/papers/methods-for-translating-narrative-scenarios-into-quantitative-assessments-of/)
- [Quantile regression as a generic approach for estimating uncertainty of digital soil maps produced from machine-learning](https://scholariq.org/papers/quantile-regression-as-a-generic-approach-for-estimating-uncertainty-of-digital/)
- [The Biodiversity and Climate Change Virtual Laboratory: Where ecology meets big data](https://scholariq.org/papers/the-biodiversity-and-climate-change-virtual-laboratory-where-ecology-meets-big/)
- [A strategic classification support system for brownfield redevelopment](https://scholariq.org/papers/a-strategic-classification-support-system-for-brownfield-redevelopment/)
- [Establishment and optimization of an evaluation index system for brownfield redevelopment projects: An empirical study](https://scholariq.org/papers/establishment-and-optimization-of-an-evaluation-index-system-for-brownfield/)
- [Model-based dense air pollution maps from sparse sensing in multi-source scenarios](https://scholariq.org/papers/model-based-dense-air-pollution-maps-from-sparse-sensing-in-multi-source/)
- [Automated marine litter investigation for underwater images using a zero-shot pipeline](https://scholariq.org/papers/automated-marine-litter-investigation-for-underwater-images-using-a-zero-shot/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.