References

Agapiou, Athos, Dimitrios Alexakis, Kyriacos Themistocleous, and Diofantos Hadjimitsis. 2014. “Water Leakage Detection Using Remote Sensing, Field Spectroscopy and GIS in Semiarid Areas of Cyprus.” Urban Water Journal 13 (December): 1–11. https://doi.org/10.1080/1573062X.2014.975726.
Balázs, Boglárka, Tibor Bíró, Gareth Dyke, Sudhir Kumar Singh, and Szilárd Szabó. 2018. “Extracting Water-Related Features Using Reflectance Data and Principal Component Analysis of Landsat Images.” Hydrological Sciences Journal 63 (2): 269–84. https://doi.org/10.1080/02626667.2018.1425802.
Bowyer, Paul, Michaela Schaller, Steffen Bender, and Daniela Jacob. 2014. “AdaptationAdaptation as ClimateClimate Change Risk ManagementRisk Management : Methods and Approaches.” In, 1–18. https://doi.org/10.1007/978-3-642-40455-9_28-1.
Brown, Christopher F., Steven P. Brumby, Brookie Guzder-Williams, Tanya Birch, Samantha Brooks Hyde, Joseph Mazzariello, Wanda Czerwinski, et al. 2022. “Dynamic World, Near Real-Time Global 10 m Land Use Land Cover Mapping.” Scientific Data 9 (1): 251. https://doi.org/10.1038/s41597-022-01307-4.
Chavez, Pat S. 1996. “Image-Based Atmospheric Corrections - Revisited and Improved.”
Dennison, Philip E., and Dar A. Roberts. 2003. “Endmember Selection for Multiple Endmember Spectral Mixture Analysis Using Endmember Average RMSE.” Remote Sensing of Environment 87 (2): 123–35. https://doi.org/10.1016/S0034-4257(03)00135-4.
Ghimire, Prakash, Deng Lei, and Nie Juan. 2020. “Effect of Image Fusion on Vegetation Index QualityA Comparative Study from Gaofen-1, Gaofen-2, Gaofen-4, Landsat-8 OLI and MODIS Imagery.” Remote Sensing 12 (10): 1550. https://doi.org/10.3390/rs12101550.
Gitelson, Anatoly A., Yoram J. Kaufman, and Mark N. Merzlyak. 1996. “Use of a Green Channel in Remote Sensing of Global Vegetation from EOS-MODIS.” Remote Sensing of Environment 58 (3): 289–98. https://doi.org/10.1016/S0034-4257(96)00072-7.
Grivei, A.-C., and M. Datcu. 2018. “IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.” In, 1680–83. Valencia: IEEE. https://doi.org/10.1109/IGARSS.2018.8518615.
Guidotti, Riccardo, Anna Monreale, Salvatore Ruggieri, Franco Turini, Fosca Giannotti, and Dino Pedreschi. 2019. “A Survey of Methods for Explaining Black Box Models.” ACM Computing Surveys 51 (5): 1–42. https://doi.org/10.1145/3236009.
Hall-Beyer, Mryka. 2017. “GLCM Texture: A Tutorial v. 3.0 March 2017,” March. https://doi.org/10.11575/PRISM/33280.
Huete, A. R. 1988. “A Soil-Adjusted Vegetation Index (SAVI).” Remote Sensing of Environment 25 (3): 295–309. https://doi.org/10.1016/0034-4257(88)90106-X.
Jiménez-Muñoz, Juan C., José A. Sobrino, Dražen Skoković, Cristian Mattar, and Jordi Cristóbal. 2014. “Land Surface Temperature Retrieval Methods from Landsat-8 Thermal Infrared Sensor Data.” IEEE Geoscience and Remote Sensing Letters 11 (10): 1840–43. https://doi.org/10.1109/LGRS.2014.2312032.
Kaufman, Y. J., and D. Tanre. 1992. “Atmospherically Resistant Vegetation Index (ARVI) for EOS-MODIS.” IEEE Transactions on Geoscience and Remote Sensing 30 (2): 261–70. https://doi.org/10.1109/36.134076.
Kupidura, Przemysław. 2019. “The Comparison of Different Methods of Texture Analysis for Their Efficacy for Land Use Classification in Satellite Imagery.” Remote Sensing 11 (10): 1233. https://doi.org/10.3390/rs11101233.
Lawrence, Rick L, and Andrea Wright. n.d. “Rule-Based Classification Systems Using Classification and Regression Tree (CART) Analysis.” PHOTOGRAMMETRIC ENGINEERING.
Lefebvre, Antoine, Christophe Sannier, and Thomas Corpetti. 2016. “Monitoring Urban Areas with Sentinel-2A Data: Application to the Update of the Copernicus High Resolution Layer Imperviousness Degree.” Remote Sensing 8 (7): 606. https://doi.org/10.3390/rs8070606.
Li, Jianfeng, Luyao Wang, Siqi Liu, Biao Peng, and Huping Ye. 2022. “An Automatic Cloud Detection Model for Sentinel-2 Imagery Based on Google Earth Engine.” Remote Sensing Letters 13 (2): 196–206. https://doi.org/10.1080/2150704X.2021.1988753.
López-Puigdollers, Dan, Gonzalo Mateo-García, and Luis Gómez-Chova. 2021. “Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images.” Remote Sensing 13 (5): 992. https://doi.org/10.3390/rs13050992.
Maes, Mikaël J. A., Abel Gonzales-Hishinuma, Ivan Haščič, Claire Hoffmann, Alexandre Banquet, Paolo Veneri, Alexandre Bizeul, Arnau Risquez Martin, and Roberta Quadrelli. 2022. “Monitoring Exposure to Climate-Related Hazards: Indicator Methodology and Key Results.” Paris. https://doi.org/10.1787/da074cb6-en.
Munyati, Christopher. 2004. “Use of Principal Component Analysis (PCA) of Remote Sensing Images in Wetland Change Detection on the Kafue Flats, Zambia.” Geocarto International 19 (3): 11–22. https://doi.org/10.1080/10106040408542313.
“NDVI, the Foundation for Remote Sensing Phenology | u.s. Geological Survey.” n.d. https://www.usgs.gov/special-topics/remote-sensing-phenology/science/ndvi-foundation-remote-sensing-phenology.
Nica, Mariana, and Alexandru Gavris. 2009. “Public Policies In The Bucharest Metropolitan Area Inertias And Challenges For Local Administation.” Proceedings of the Fifth "Administration and Public Management" International Conference: "Public Institutions’ Capacity to Implement the Administrative Reform Process", Bucharest, June 23-24, 2009, Proceedings of the Fifth "Administration and Public Management" International Conference: "Public Institutions’ Capacity to Implement the Administrative Reform Process", Bucharest, June 23-24, 2009,. https://ideas.repec.org//p/rom/confca/27.html.
Nistor, Constantin, Marina Vîrghileanu, Irina Cârlan, Bogdan-Andrei Mihai, Liviu Toma, and Bogdan Olariu. 2021. “Remote Sensing-Based Analysis of Urban Landscape Change in the City of Bucharest, Romania.” Remote Sensing 13 (12): 2323. https://doi.org/10.3390/rs13122323.
“Normalized Difference Moisture Index | u.s. Geological Survey.” n.d. https://www.usgs.gov/landsat-missions/normalized-difference-moisture-index.
Phan, Duong Cao, Ta Hoang Trung, Van Thinh Truong, Taiga Sasagawa, Thuy Phuong Thi Vu, Dieu Tien Bui, Masato Hayashi, Takeo Tadono, and Kenlo Nishida Nasahara. 2021. “First Comprehensive Quantification of Annual Land Use/Cover from 1990 to 2020 Across Mainland Vietnam.” Scientific Reports 11 (1): 9979. https://doi.org/10.1038/s41598-021-89034-5.
Probst, Philipp, Marvin N. Wright, and Anne-Laure Boulesteix. 2019. “Hyperparameters and Tuning Strategies for Random Forest.” WIREs Data Mining and Knowledge Discovery 9 (3): e1301. https://doi.org/10.1002/widm.1301.
Qi, J., A. Chehbouni, A. R. Huete, Y. H. Kerr, and S. Sorooshian. 1994. “A Modified Soil Adjusted Vegetation Index.” Remote Sensing of Environment 48 (2): 119–26. https://doi.org/10.1016/0034-4257(94)90134-1.
Reddy, R. S., S. Thayalan, C. R. Shiva Prasad, P. S. A. Reddy, and J. L. Sehgal. 1990. “Utility of Satellite Data for Land Evaluation in Land Use Planning for a Part of Northern Karnataka.” Journal of the Indian Society of Remote Sensing 18 (4): 34–44. https://doi.org/10.1007/BF02997071.
Savin, Elena, and Cristian Flueraru. 2006. “Use of Vegetation NDVI Time Series for Drought Monitoring in Romania.”
Schulte to Bühne, Henrike, and Nathalie Pettorelli. 2018. “Better Together: Integrating and Fusing Multispectral and Radar Satellite Imagery to Inform Biodiversity Monitoring, Ecological Research and Conservation Science.” Methods in Ecology and Evolution 9 (4): 849–65. https://doi.org/10.1111/2041-210X.12942.
Segal-Rozenhaimer, Michal, Alan Li, Kamalika Das, and Ved Chirayath. 2020. “Cloud Detection Algorithm for Multi-Modal Satellite Imagery Using Convolutional Neural-Networks (CNN).” Remote Sensing of Environment 237 (February): 111446. https://doi.org/10.1016/j.rse.2019.111446.
Silveira, Eduarda M. O., Sérgio Henrique G. Silva, Fausto W. Acerbi-Junior, Mônica C. Carvalho, Luis Marcelo T. Carvalho, Jose Roberto S. Scolforo, and Michael A. Wulder. 2019. “Object-Based Random Forest Modelling of Aboveground Forest Biomass Outperforms a Pixel-Based Approach in a Heterogeneous and Mountain Tropical Environment.” International Journal of Applied Earth Observation and Geoinformation 78 (June): 175–88. https://doi.org/10.1016/j.jag.2019.02.004.
Sun, Weiwei, Bo Du, and Shaolong Xiong. 2017. “Quantifying Sub-Pixel Surface Water Coverage in Urban Environments Using Low-Albedo Fraction from Landsat Imagery.” Remote Sensing 9 (5): 428. https://doi.org/10.3390/rs9050428.
Tang, Cheng, Damien Garreau, and Ulrike von Luxburg. 2018. “When Do Random Forests Fail?” In. Vol. 31. Curran Associates, Inc. https://proceedings.neurips.cc/paper/2018/hash/204da255aea2cd4a75ace6018fad6b4d-Abstract.html.
Yuan, Karen, Patrick O’Neil, and Diego Torrejon. 2020. “8 - Landsat’s Past Paves the Way for Data Democratization in Earth Science.” In, edited by Feras A. Batarseh and Ruixin Yang, 147–61. Academic Press. https://doi.org/10.1016/B978-0-12-818366-3.00008-3.
Zhu, Zhe, and Curtis E. Woodcock. 2014. “Automated Cloud, Cloud Shadow, and Snow Detection in Multitemporal Landsat Data: An Algorithm Designed Specifically for Monitoring Land Cover Change.” Remote Sensing of Environment 152 (September): 217–34. https://doi.org/10.1016/j.rse.2014.06.012.