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Journal of Spatial Science is a peer-reviewed journal published by Taylor & Francis, covering Geographic Information Systems Studies, GNSS positioning and interference, Remote Sensing in Agriculture.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Spatial Science 12 (3): 45–58.
Formats any DOI in Journal of Spatial Science style. No sign-up. |
| Publishes research in | Geographic Information Systems Studies GNSS positioning and interference Remote Sensing in Agriculture Geophysics and Gravity Measurements Land Use and Ecosystem Services |
| ISSN | 1449-8596 |
| Citation impact (2-yr) | 3.09 |
| h-index | 42 |
| i10-index | 242 |
| Total citations | 8,324 |
| Top institutions publishing here | The University of Melbourne |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Land Administration Systems (LAS) are institutional frameworks complicated by the tasks they must perform, by national cultural, political and judicial settings, and by technology. This paper assists sharing LAS capacity among countries with diverse legal systems and institutional structures by identifying an ideal and historically neutral LAS model for : servicing the needs of governments,…
This paper describes an approach to using the Random Forest classification algorithm to quantitatively evaluate a range of potential image segmentation scale alternatives in order to identify the segmentation scale(s) that best predict land cover classes of interest. The image segmentation scale selection process was used to identify three critical image object scales that when…
This paper presents an automated method for mangrove stand recognition (delineation and labeling) and species mapping based on fuzzy per‐pixel classification techniques of a QuickBird satellite image. The four dominant mangrove species in Gazi Bay (Kenya) are mapped with an overall accuracy of 72 percent, where the two socio‐economically most important species are mapped with…
Creating accurate maps of seagrass cover is a challenging procedure in coastal waters with variable water clarity and depths. This paper presents an approach for mapping seagrass cover from data sources commonly collected by natural resource management agencies responsible for coastal environments. The aim of the study was to develop an approach for mapping classes…
Geographic object-based image analysis (GEOBIA) is a promising methodology lot image analysis, in which images are first segmented into image segments (or objects) and then analysed based on shape, texture. context and spectral features The extra dimension of data offered by the objects yields a mole enhanced image analysis The first and most important step…
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