# ISPRS International Journal of Geo-Information

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/isprs-international-journal-of-geo-information/

## Facts

| Field | Value |
| --- | --- |
| Open Access | true |
| ISSN-L | 2220-9964 |
| ISSNs | 2220-9964 |
| OpenAlex ID | https://openalex.org/S2764431341 |
| Publisher | Multidisciplinary Digital Publishing Institute |

## Journal papers

- [Graph Neural Network for Traffic Forecasting: The Research Progress](https://scholariq.org/papers/graph-neural-network-for-traffic-forecasting-the-research-progress/)
- [Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation](https://scholariq.org/papers/comparing-machine-and-deep-learning-methods-for-large-3d-heritage-semantic/)
- [Machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti-Atlas, Morocco](https://scholariq.org/papers/machine-learning-algorithms-for-automatic-lithological-mapping-using-remote/)
- [Evaluation of the Consistency of MODIS Land Cover Product (MCD12Q1) Based on Chinese 30 m GlobeLand30 Datasets: A Case Study in Anhui Province, China](https://scholariq.org/papers/evaluation-of-the-consistency-of-modis-land-cover-product-mcd12q1-based-on/)
- [A Fine-Scale Mangrove Map of China Derived from 2-Meter Resolution Satellite Observations and Field Data](https://scholariq.org/papers/a-fine-scale-mangrove-map-of-china-derived-from-2-meter-resolution-satellite/)
- [Consistency Analysis and Accuracy Assessment of Three Global Ten-Meter Land Cover Products in Rocky Desertification Region—A Case Study of Southwest China](https://scholariq.org/papers/consistency-analysis-and-accuracy-assessment-of-three-global-ten-meter-land/)
- [Spatial-Temporal Water Balance Components Estimation Using Integrated GIS-Based Wetspass-M Model in Moulouya Basin, Morocco](https://scholariq.org/papers/spatial-temporal-water-balance-components-estimation-using-integrated-gis-based/)
- [Applying GIS and Text Mining Methods to Twitter Data to Explore the Spatiotemporal Patterns of Topics of Interest in Kuwait](https://scholariq.org/papers/applying-gis-and-text-mining-methods-to-twitter-data-to-explore-the/)

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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.
