References
Amani, Meisam, Arsalan Ghorbanian, Seyed Ali Ahmadi, Mohammad Kakooei,
Armin Moghimi, S. Mohammad Mirmazloumi, Sayyed Hamed Alizadeh Moghaddam,
et al. 2020. “Google Earth Engine Cloud Computing
Platform for Remote Sensing Big Data Applications:
A Comprehensive Review.” IEEE Journal of
Selected Topics in Applied Earth Observations and Remote Sensing
13: 5326–50. https://doi.org/10.1109/JSTARS.2020.3021052.
Bhatia, S. Y., G. R. Patil, and K. M. Buddhiraju. 2023. “Analysing
Urban Sprawl of the Mumbai Metropolitan Region Using
Remote Sensing and Socioeconomic Data.” In
The International Archives of
Photogrammetry, Remote Sensing and
Spatial Information Sciences, XLVIII-M-3-2023:35–42.
Gottingen, Germany: Copernicus GmbH. https://doi.org/10.5194/isprs-archives-XLVIII-M-3-2023-35-2023.
Buonfantino, Giusy. 2022. “SC Johnson Forecasts
Mosquitoes with Google Earth Engine.” Google
Cloud Blog.
https://cloud.google.com/blog/products/data-analytics/sc-johnson-forecasts-mosquitoes-with-google-earth-engine.
EarthLab. 2018. “Learn to Use NAIP Multiband Remote Sensing
Images in Python.” Earth Data Science -
Earth Lab.
https://www.earthdatascience.org/courses/use-data-open-source-python/multispectral-remote-sensing/intro-naip/.
Foody, Giles M. 2020. “Explaining the Unsuitability of the Kappa
Coefficient in the Assessment and Comparison of the Accuracy of Thematic
Maps Obtained by Image Classification.” Remote Sensing of
Environment 239 (March): 111630. https://doi.org/10.1016/j.rse.2019.111630.
Geiß, Christian, and Hannes Taubenböck. 2013. “Remote Sensing
Contributing to Assess Earthquake Risk: From a Literature Review Towards
a Roadmap.” Natural Hazards 68 (1): 7–48. https://doi.org/10.1007/s11069-012-0322-2.
Ghaffarian, Saman, Norman Kerle, and Tatiana Filatova. 2018.
“Remote Sensing-Based Proxies for Urban
Disaster Risk Management and Resilience: A
Review.” Remote Sensing 10 (11): 1760. https://doi.org/10.3390/rs10111760.
Gillespie, Thomas W., Jasmine Chu, Elizabeth Frankenberg, and Duncan
Thomas. 2007. “Assessment and Prediction of Natural Hazards from
Satellite Imagery.” Progress in Physical Geography: Earth and
Environment 31 (5): 459–70. https://doi.org/10.1177/0309133307083296.
GISGeography. 2017. “The Atmospheric Window in
Remote Sensing.” GIS Geography.
https://gisgeography.com/atmospheric-window/.
Gorelick, Noel, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David
Thau, and Rebecca Moore. 2017. “Google Earth Engine:
Planetary-scale Geospatial Analysis for
Everyone.” Remote Sensing of Environment, Big
Remotely Sensed Data: Tools, applications and experiences,
202 (December): 18–27. https://doi.org/10.1016/j.rse.2017.06.031.
Gupta, Kshama, Pramod Kumar, S. K. Pathan, and K. P. Sharma. 2012.
“Urban Neighborhood Green Index – A
Measure of Green Spaces in Urban Areas.” Landscape and Urban
Planning 105 (3): 325–35. https://doi.org/10.1016/j.landurbplan.2012.01.003.
Jensen, John R. 2016. Introductory Digital Image Processing: A
Remote Sensing Perspective / John R. Jensen
(University of South Carolina). 4th
edition. Pearson Series in Geographic Information Science. Glenview, IL:
Pearson Education, Inc.
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.
Kussul, Nataliia, Mykola Lavreniuk, Sergii Skakun, and Andrii Shelestov.
2017. “Deep Learning Classification of Land
Cover and Crop Types Using Remote Sensing
Data.” IEEE Geoscience and Remote Sensing Letters
14 (5): 778–82. https://doi.org/10.1109/LGRS.2017.2681128.
Kwak, Youngjoo, Sang-ho Yun, and Yoichi Iwami. 2017. “A New
Approach for Rapid Urban Flood Mapping Using
ALOS-2/PALSAR-2 in 2015 Kinu River
Flood, Japan.” In 2017 IEEE
International Geoscience and Remote Sensing
Symposium (IGARSS), 1880–83. https://doi.org/10.1109/IGARSS.2017.8127344.
Liang, Shunlin, and Jindi Wang, eds. 2020. “Chapter 4 -
Atmospheric Correction of Optical Imagery.” In
Advanced Remote Sensing (Second
Edition), 131–56. Academic Press. https://doi.org/10.1016/B978-0-12-815826-5.00004-0.
Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2019. Chapter
12 Statistical Learning
Geocomputation with R.
MapBiomas. n.d. “MapBiomas Alerta.”
https://alerta.mapbiomas.org/en. Accessed February 7, 2024.
Ming, Dongping, Tianning Zhou, Min Wang, and Tian Tan. 2016. “Land
Cover Classification Using Random Forest with Genetic Algorithm-Based
Parameter Optimization.” Journal of Applied Remote
Sensing 10 (3): 035021. https://doi.org/10.1117/1.JRS.10.035021.
NASA Earth Science Data Systems. 2019. “What Is Remote
Sensing? Earthdata.”
Backgrounder.
https://www.earthdata.nasa.gov/learn/backgrounders/remote-sensing; Earth
Science Data Systems, NASA.
———. 2020. “What Is Synthetic Aperture Radar?
Earthdata.” Backgrounder.
https://www.earthdata.nasa.gov/learn/backgrounders/what-is-sar; Earth
Science Data Systems, NASA.
NASA’s Scientific Visualisation Studio. 2017. “NASA
Scientific Visualization Studio
Electromagnetic Waves and
Polarization.” SVS.
https://svs.gsfc.nasa.gov/4580.
Nowosad, Jakub, and Tomasz Stepinski. 2021. “Generalizing the
Simple Linear Iterative Clustering (SLIC)
Superpixels.” https://nowosad.github.io/giscience-2021/.
Paletta, Anthony. 2016. “Story of Cities #32: Jane
Jacobs v Robert Moses, Battle of New
York’s Urban Titans.” The Guardian, April.
Plaza, A., P. Martinez, R. Perez, and J. Plaza. 2002.
“Spatial/Spectral Endmember Extraction by Multidimensional
Morphological Operations.” IEEE Transactions on Geoscience
and Remote Sensing 40 (9): 2025–41. https://doi.org/10.1109/TGRS.2002.802494.
Roberts, David R., Volker Bahn, Simone Ciuti, Mark S. Boyce, Jane Elith,
Gurutzeta Guillera-Arroita, Severin Hauenstein, et al. 2017.
“Cross-Validation Strategies for Data with Temporal, Spatial,
Hierarchical, or Phylogenetic Structure.” Ecography 40
(8): 913–29. https://doi.org/10.1111/ecog.02881.
Rong, Youtong, Ting Zhang, Yanchen Zheng, Chunqi Hu, Ling Peng, and Ping
Feng. 2020. “Three-Dimensional Urban Flood Inundation Simulation
Based on Digital Aerial Photogrammetry.” Journal of
Hydrology 584 (May): 124308. https://doi.org/10.1016/j.jhydrol.2019.124308.
Rozenstein, Offer, and Arnon Karnieli. 2011. “Comparison of
Methods for Land-Use Classification Incorporating Remote Sensing and
GIS Inputs.” Applied Geography 31 (2):
533–44. https://doi.org/10.1016/j.apgeog.2010.11.006.
Shao, Zhenfeng, Neema S. Sumari, Aleksei Portnov, Fanan Ujoh, Walter
Musakwa, and Paulo J. Mandela. 2021. “Urban Sprawl and Its Impact
on Sustainable Urban Development: A Combination of Remote Sensing and
Social Media Data.” Geo-Spatial Information Science 24
(2): 241–55. https://doi.org/10.1080/10095020.2020.1787800.
Sheykhmousa, Mohammadreza, Masoud Mahdianpari, Hamid Ghanbari, Fariba
Mohammadimanesh, Pedram Ghamisi, and Saeid Homayouni. 2020.
“Support Vector Machine Versus Random Forest for
Remote Sensing Image Classification: A
Meta-Analysis and Systematic Review.”
IEEE Journal of Selected Topics in Applied Earth Observations and
Remote Sensing 13: 6308–25. https://doi.org/10.1109/JSTARS.2020.3026724.
Sidhu, Nanki, Edzer Pebesma, and Gilberto Câmara. 2018. “Using
Google Earth Engine to Detect Land Cover Change:
Singapore as a Use Case.” European Journal of
Remote Sensing 51 (1): 486–500. https://doi.org/10.1080/22797254.2018.1451782.
Skopyk, Brad. 2021. “Georeferencing Historical
Maps.” ArcGIS StoryMaps.
https://storymaps.arcgis.com/stories/dd75d0398f7d4ded924d303161895b8b.
Squarzoni, Gabriela, Benedikt Bayer, Silvia Franceschini, and Alessandro
Simoni. 2020. “Pre- and Post-Failure Dynamics of Landslides in the
Northern Apennines Revealed by Space-Borne Synthetic
Aperture Radar Interferometry (InSAR).”
Geomorphology 369 (November): 107353. https://doi.org/10.1016/j.geomorph.2020.107353.
Tamiminia, Haifa, Bahram Salehi, Masoud Mahdianpari, Lindi Quackenbush,
Sarina Adeli, and Brian Brisco. 2020. “Google Earth
Engine for Geo-Big Data Applications: A
Meta-Analysis and Systematic Review.” ISPRS Journal of
Photogrammetry and Remote Sensing 164 (June): 152–70. https://doi.org/10.1016/j.isprsjprs.2020.04.001.
Teixeira, Fabio. 2022. “In Brazil, Satellites Help
Scientists Target Amazon Forest Losses.” Thomas
Reuters Foundation News.
https://news.trust.org/item/20220406135051-ut6cr/.
Tralli, David M., Ronald G. Blom, Victor Zlotnicki, Andrea Donnellan,
and Diane L. Evans. 2005. “Satellite Remote Sensing of Earthquake,
Volcano, Flood, Landslide and Coastal Inundation Hazards.”
ISPRS Journal of Photogrammetry and Remote Sensing, Remote
Sensing and Geospatial Information for
Natural Hazards Characterization, 59 (4): 185–98. https://doi.org/10.1016/j.isprsjprs.2005.02.002.
Trias-Sanz, Roger, Georges Stamon, and Jean Louchet. 2008. “Using
Colour, Texture, and Hierarchial Segmentation for High-Resolution Remote
Sensing.” ISPRS Journal of Photogrammetry and Remote
Sensing 63 (2): 156–68. https://doi.org/10.1016/j.isprsjprs.2007.08.005.
Wilber, Jared. 2022a. “Precision and Recall.”
MLU-Explain. https://mlu-explain.github.io/precision-recall/.
———. 2022b. “ROC and AUC.”
MLU-Explain. https://mlu-explain.github.io/roc-auc/.
Yerushalmy, Jonathan. 2023. “Gaza Before and After: Satellite
Images Show Destruction Following Israeli
Airstrikes.” The Guardian, October.