The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Semi-Automatic Classification Plugin: A Python tool for the download and processing of remote sensing images in QGIS
Open accessAbstract
Congedo, L., (2021). Semi-Automatic Classification Plugin: A Python tool for the download and processing of remote sensing images in QGIS. Journal of Open Source Software, 6(64), 3172, https://doi.org/10.21105/joss.03172
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Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Kruse, F. A., Lefkoff, A. B., Boardman, J. W., Heidebrecht, K. B., Shapiro, A. T., Barloon, P. J., & Goetz, A. F. H. (1993) · Remote Sensing of Environment · doi:10.1016/0034-4257(93)90013-n · Cited by 3,164
Remote Sensing Digital Image Analysis: An Introduction
Richards, J. A., & Jia, X. (2006) · Springer eBooks · doi:10.1007/3-540-29711-1 · Cited by 2,759
Remote sensing for agricultural applications: A meta-review
Weiss, M., Jacob, F., & Duveiller, G. (2020) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.111402 · Cited by 1,877
Remote sensing technology for mapping and monitoring land-cover and land-use change
Rogan, J., & Chen, D. (2004) · Progress in Planning · doi:10.1016/s0305-9006(03)00066-7 · Cited by 798
USGS Spectral Library Version 7
Kokaly, R. F., Clark, R. N., Swayze, G. A., Livo, K. E., Hoefen, T. M., Pearson, N. C., Wise, R. A., Benzel, W., Lowers, H. A., Driscoll, R. L., et al. (2017) · Data Series · doi:10.3133/ds1035 · Cited by 737
Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas
Pesaresi, M., Corbane, C., Julea, A., Florczyk, A., Syrris, V., & Soille, P. (2016) · Remote Sensing · doi:10.3390/rs8040299 · Cited by 200
Automatic detection of stone pavement's pattern based on UAV photogrammetry
Garilli, E., Bruno, N., Autelitano, F., Roncella, R., & Giuliani, F. (2020) · Automation in Construction · doi:10.1016/j.autcon.2020.103477 · Cited by 63
Huq, N., Bruns, A., & Ribbe, L. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.08.430 · Cited by 48
Leroux, L., Congedo, L., Bellón, B., et al. (2018) · doi:10.1002/9781119457107.ch4 · Cited by 44
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Zemlianskii, V, Ermokhina, K., Rietze, N., Heim, R., Assmann, J., Rüthi, J., Loginova, N., & Schaepman-Strub, G. (2025) · Environmental Research: Ecology · doi:10.1088/2752-664x/adf447 · Cited by 1
Metadata
- Authors
- Congedo, L.
- Venue
- Journal of Open Source Software
- Publisher
- The Open Journal
- Published
- 2021-08-27
- Volume
- 6
- Issue
- 64
- Pages
- 3172
- ISSN
- 2475-9066 (ISSN-L)
- OpenAlex
- W3196968202
- Cited by
- 503
- References
- 13
- FWCI
- 36.81
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
