References

AbdelRahman, Mohamed A. E., Rehab H. Hegab, and Taher M. H. Yossif. 2021. “Soil Fertility Assessment for Optimal Agricultural Use Using Remote Sensing and GIS Technologies.” Applied Geomatics 13 (4): 605–18. https://doi.org/10.1007/s12518-021-00376-1.
Achanta, Radhakrishna, Appu Shaji, Kevin Smith, Aurélien Lucchi, Pascal Fua, and Sabine Süsstrunk, eds. 2010. SLIC Superpixels. EPFL.
Claesen, Marc. 2014. EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines.”
Geiß, Christian, Patrick Aravena Pelizari, Mattia Marconcini, Wayan Sengara, Mark Edwards, Tobia Lakes, and Hannes Taubenböck. 2015. “Estimation of Seismic Building Structural Types Using Multi-Sensor Remote Sensing and Machine Learning Techniques.” ISPRS Journal of Photogrammetry and Remote Sensing 104 (June): 175–88. https://doi.org/10.1016/j.isprsjprs.2014.07.016.
Liu, Fei Tony, Kai Ming Ting, and Zhi-Hua Zhou. 2008. “Isolation Forest.” In 2008 Eighth IEEE International Conference on Data Mining, 413–22. https://doi.org/10.1109/ICDM.2008.17.
Navalgund, Ranganath R., V. Jayaraman, and P. S. Roy. 2007. “Remote Sensing Applications: An Overview.” Current Science 93 (12): 1747–66. http://www.jstor.org/stable/24102069.
Radočaj, Dorijan, Jasmina Obhođaš, Mladen Jurišić, and Mateo Gašparović. 2020. “Global Open Data Remote Sensing Satellite Missions for Land Monitoring and Conservation: A Review.” Land 9 (11): 402. https://doi.org/10.3390/land9110402.
Rolnick, David, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, et al. 2022. “Tackling Climate Change with Machine Learning.” ACM Computing Surveys 55 (2): 42:1–96. https://doi.org/10.1145/3485128.
Samal, Dipak R., and Shirish S. Gedam. 2015. “Monitoring Land Use Changes Associated with Urbanization: An Object Based Image Analysis Approach.” European Journal of Remote Sensing 48 (1): 85–99. https://doi.org/10.5721/EuJRS20154806.
Shaheen, Fatma, Brijesh Verma, and Md. Asafuddoula. 2016. “Impact of Automatic Feature Extraction in Deep Learning Architecture.” In 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 1–8. https://doi.org/10.1109/DICTA.2016.7797053.
US EPA, OAR. 2015. “Sources of Greenhouse Gas Emissions.” Overviews and {Factsheets}. https://www.epa.gov/ghgemissions/sources-greenhouse-gas-emissions.
Zhang, Ce, Isabel Sargent, Xin Pan, Huapeng Li, Andy Gardiner, Jonathon Hare, and Peter M. Atkinson. 2018. “An Object-Based Convolutional Neural Network (OCNN) for Urban Land Use Classification.” Remote Sensing of Environment 216 (October): 57–70. https://doi.org/10.1016/j.rse.2018.06.034.