8  References

Agüero Teare, Teresa. 2013. “Musgo Sphagnum: Manejo Sostenible Del Recurso.” Oficina de Estudios y Polı́ticas Agrarias. http://66.70.189.83/bitstream/CEHUM2018/1265/1/Ag%C3%BCero.%20Musgo%20Sphagnum%2C%20manejo%20sostenible%20del%20recurso.pdf.

Aiazzi, Bruno, Luciano Alparone, Stefano Baronti, Andrea Garzelli, and Claudia Zoppetti. 2013. “Nonparametric Change Detection in Multitemporal SAR Images Based on Mean-Shift Clustering.” IEEE Transactions on Geoscience and Remote Sensing 51: 2022–31. https://doi.org/10.1109/TGRS.2013.2238946.

Amitrano, Donato, Raffaella Guida, and Pasquale Iervolino. 2021. “Semantic Unsupervised Change Detection of Natural Land Cover with Multitemporal Object-Based Analysis on SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 59 (7): 5494–514. https://doi.org/10.1109/TGRS.2020.3029841.

Asada, Taro, and Barry G Warner. 2005. “Surface Peat Mass and Carbon Balance in a Hypermaritime Peatland.” Soil Science Society of America Journal 69 (2): 549–62.

Bazi, Y., L. Bruzzone, and F. Melgani. 2006. “Automatic Identification of the Number and Values of Decision Thresholds in the Log-Ratio Image for Change Detection in SAR Images.” IEEE Geoscience and Remote Sensing Letters 3 (3): 349–53. https://doi.org/10.1109/LGRS.2006.869973.

Bovolo, Francesca, and Lorenzo Bruzzone. 2005. “A Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images.” IEEE T. Geoscience and Remote Sensing 43 (January): 2963–72.

Bruzzone, L., and D. F. Prieto. 2000. “Automatic Analysis of the Difference Image for Unsupervised Change Detection.” IEEE Transactions on Geoscience and Remote Sensing 38 (3): 1171–82. https://doi.org/10.1109/36.843009.

Bullock, Andy, and Mike Acreman. 2003. “The Role of Wetlands in the Hydrological Cycle.” Hydrology and Earth System Sciences 7 (3): 358–89.

Cabezas, Juli’an, Mauricio Galleguillos, Ariel Vald’es, Juan P. Fuentes, Cecilia P’erez, and Jorge F. Perez-Quezada. 2015. “Evaluation of Impacts of Management in an Anthropogenic Peatland Using Field and Remote Sensing Data.” Ecosphere 6 (12): 1–24. https://doi.org/10.1890/ES15-00232.1.

Cabezas, Julián, Mauricio Galleguillos, Ariel Valdés, Juan P. Fuentes, Cecilia Pérez, and Jorge F. Perez-Quezada. 2015. “Evaluation of Impacts of Management in an Anthropogenic Peatland Using Field and Remote Sensing Data.” Ecosphere 6. https://doi.org/https://doi.org/10.1890/ES15-00232.1.

Carmona, Martı́n R, Juan Carlos Aravena, Marcela A Bustamante-Sanchez, Juan L Celis-Diez, Andrés Charrier, Iván A Dı́az, Javiera Dı́az-Forestier, et al. 2010. “Estación Biológica Senda Darwin: Investigación Ecológica de Largo Plazo En La Interfase Ciencia-Sociedad.” Revista Chilena de Historia Natural 83 (1): 113–42. https://www.scielo.cl/scielo.php?pid=S0716-078X2010000100007&script=sci_arttext&tlng=en.

Celik, Turgay. 2009. “Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.” IEEE Geoscience and Remote Sensing Letters 6 (4): 772–76. https://doi.org/10.1109/LGRS.2009.2025059.

Chen, Jie, Ziyang Yuan, Jian Peng, Li Chen, Haozhe Huang, Jiawei Zhu, Yu Liu, and Haifeng Li. 2021. “DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection of High Resolution Satellite Images.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 1194–1206. https://doi.org/10.1109/JSTARS.2020.3037893.

Di Castri, Francesco, Ernst R Hajek, et al. 1976. Bioclimatologı́a de Chile. Vol. 128. Vicerrectorı́a Académica de la Universidad Católica de Chile Santiago. https://grn.cl/bioclimatologia_de_chile.pdf.

Díaz, María F., Juan Larraín, Gabriela Zegers, and Carolina Tapia. 2008. “Floristic and Hydrological Characterization of Chiloé Island Peatlands, Chile.” Revista Chilena de Historia Natural 81 (4): 455–68. https://doi.org/10.4067/S0716-078X2008000400002.

Dı́az, M Francisca, Seth Bigelow, and Juan J Armesto. 2007. “Alteration of the Hydrologic Cycle Due to Forest Clearing and Its Consequences for Rainforest Succession.” Forest Ecology and Management 244 (1-3): 32–40.

Dı́az, Marı́a F, and Juan J Armesto. 2007. “Limitantes fı́sicos y Bióticos de La Regeneración Arbórea En Matorrales Sucesionales de La Isla Grande de Chiloé, Chile.” Revista Chilena de Historia Natural 80 (1): 13–26.

Dı́az, Marı́a F, Juan Larraı́n, Gabriela Zegers, and Carolina Tapia. 2008. “Caracterización Florı́stica e Hidrológica de Turberas de La Isla Grande de Chiloé, Chile.” Revista Chilena de Historia Natural 81 (4): 455–68.

Dı́az, MF, and G Delano. 2012. “Plan de Manejo Sustentable y Modelo de Fiscalización Para Humedales Con Predominio de Musgo Pompón (Sphagnum Magellanicum) En Las Provincias de Llanquihue y Chiloé.(pp. 79-80).” Actas Del Taller: Conocimiento y Valoración de Las Turberas de La Patagonia: Oportunidad y Desafı́os (Noviembre de 2011, Punta Arenas, Chile). Eds. A. Valdés-Barrera.

Dong, Huihui, Wenping Ma, Licheng Jiao, Fang Liu, and LingLing Li. 2022. “A Multiscale Self-Attention Deep Clustering for Change Detection in SAR Images.” IEEE Transactions on Geoscience and Remote Sensing 60: 1–16. https://doi.org/10.1109/TGRS.2021.3073562.

Gallant, Alisa L. 2015. “The Challenges of Remote Monitoring of Wetlands.” Remote Sensing 7 (8): 10938–50. https://doi.org/10.3390/rs70810938.

Gao, Yunhao, Feng Gao, Junyu Dong, and Heng-Chao Li. 2021. “SAR Image Change Detection Based on Multiscale Capsule Network.” IEEE Geoscience and Remote Sensing Letters 18 (3): 484–88. https://doi.org/10.1109/LGRS.2020.2977838.

Gong, Maoguo, Yu Cao, and Qiaodi Wu. 2012a. “A Neighborhood-Based Ratio Approach for Change Detection in SAR Images.” IEEE Geoscience and Remote Sensing Letters 9 (2): 307–11. https://doi.org/10.1109/LGRS.2011.2167211.

———. 2012b. “A Neighborhood-Based Ratio Approach for Change Detection in SAR Images.” IEEE Geoscience and Remote Sensing Letters 9 (2): 307–11. https://doi.org/10.1109/LGRS.2011.2167211.

Gong, Maoguo, Hailun Yang, and Puzhao Zhang. 2017. “Feature Learning and Change Feature Classification Based on Deep Learning for Ternary Change Detection in SAR Images.” ISPRS Journal of Photogrammetry and Remote Sensing 129: 212–25. https://doi.org/10.1016/j.isprsjprs.2017.05.001.

Gong, Maoguo, Jiaojiao Zhao, Jia Liu, Qiguang Miao, and Licheng Jiao. 2016. “Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks.” IEEE Transactions on Neural Networks and Learning Systems 27 (1): 125–38. https://doi.org/10.1109/TNNLS.2015.2435783.

Gore, AJP. 1983. “Mires: Swamp, Bog, Fen and Moor-Ecosystems of the World.” Elsevier Scientific Publishing Company. 4.

Hauser, Arturo. 1996. “Los depósitos de turba en Chile y sus perspectivas de utilización.” Revista Geológica de Chile 23 (2) : 217-229., 13. http://www.andeangeology.cl/index.php/revista1/article/view/2208.

Hecheltjen, F.; Menz, A.; Thonfeld. 2014. “In Land Use and Land Cover Mapping in Europe.” Recent Advances in Remote Sensing Change Detection—A Review, 145–78.

Hou, Biao, Qian Wei, Yaoguo Zheng, and Shuang Wang. 2014. “Unsupervised Change Detection in SAR Image Based on Gauss-Log Ratio Image Fusion and Compressed Projection.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (8): 3297–317. https://doi.org/10.1109/JSTARS.2014.2328344.

Hou, Bin, Yunhong Wang, and Qingjie Liu. 2017. “Change Detection Based on Deep Features and Low Rank.” IEEE Geoscience and Remote Sensing Letters 14 (12): 2418–22. https://doi.org/10.1109/LGRS.2017.2766840.

Iturraspe, Rodolfo, and C Roig. 2000. “Aspectos Hidrológicos de Turberas de Sphagnum de Tierra Del Fuego-Argentina.” Conservación de Ecosistemas a Nivel Mundial Con énfasis En Las Turberas de Tierra Del Fuego. Disertaciones y Conclusiones, 85–93.

Jia, Lu, Ming Li, Peng Zhang, Yan Wu, and Huahui Zhu. 2016. “SAR Image Change Detection Based on Multiple Kernel k-Means Clustering with Local-Neighborhood Information.” IEEE Geoscience and Remote Sensing Letters 13 (6): 856–60. https://doi.org/10.1109/LGRS.2016.2550666.

Jiang, Mi, Andy Hooper, Xin Tian, Jia Xu, Sai-Nan Chen, Zhang-Feng Ma, and Xiao Cheng. 2020. “Delineation of Built-up Land Change from SAR Stack by Analysing the Coefficient of Variation.” ISPRS Journal of Photogrammetry and Remote Sensing 169: 93–108. https://doi.org/10.1016/j.isprsjprs.2020.08.023.

Joosten, Hans et al. 2009. “The Global Peatland CO2 Picture: Peatland Status and Drainage Related Emissions in All Countries of the World.” The Global Peatland CO2 Picture: Peatland Status and Drainage Related Emissions in All Countries of the World.

Joosten, Hans, and Donal Clarke. 2002. “Wise Use of Mires and Peatlands.” International Mire Conservation Group and International Peat Society 304.

Keddy, Paul A. 2010. Wetland Ecology: Principles and Conservation. Cambridge university press.

Kirillov, Alexander, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, et al. 2023. “Segment Anything.” arXiv Preprint arXiv:2304.02643.

León, Carolina. 2012. “Caracterización Florı́stica y Ecológica de Turberas Esfagnosas de La Isla Grande de Chiloé-Chile: Una Herramienta Para La Conservación y El Desarrollo Sostenible.” PhD thesis, Universidad Complutense de Madrid.

León, Carolina A, and Gisela Oliván. 2014. “Recent Rates of Carbon and Nitrogen Accumulation in Peatlands of Isla Grande de Chiloé-Chile.” Revista Chilena de Historia Natural 87: 1–7.

Lopatin, Javier, Roc’ıo ArayaNANAL’opez, Mauricio Galleguillos, and Jorge F. PereNAzNAQueza. 2022. “Disturbance Alters Relationships Between Soil Carbon Pools and Aboveground Vegetation Attributes in an Anthropogenic Peatland in Patagonia.” Ecology and Evolution 12 (3). https://doi.org/10.1002/ece3.8694.

Lopatin, Javier, Teja Kattenborn, Mauricio Galleguillos, Jorge F. Perez-Quezada, and Sebastian Schmidtlein. 2019. “Using Aboveground Vegetation Attributes as Proxies for Mapping Peatland Belowground Carbon Stocks.” Remote Sensing of Environment 231 (September): 111217. https://doi.org/10.1016/j.rse.2019.111217.

Miranda, Alejandro, Adison Altamirano, Luis Cayuela, Antonio Lara, and Mauro González. 2017. “Native Forest Loss in the Chilean Biodiversity Hotspot: Revealing the Evidence.” Regional Environmental Change 17 (1): 285–97. https://doi.org/10.1007/s10113-016-1010-7.

Mishra, Niladri, Susmita Ghosh, and Ashish Ghosh. 2012. “Fuzzy Clustering Algorithms Incorporating Local Information for Change Detection in Remotely Sensed Images.” Applied Soft Computing 12 (August): 2683–92. https://doi.org/10.1016/j.asoc.2012.03.060.

Moore, Tim R, Jill L Bubier, Steve E Frolking, Peter M Lafleur, and Nigel T Roulet. 2002. “Plant Biomass and Production and CO2 Exchange in an Ombrotrophic Bog.” Journal of Ecology 90 (1): 25–36.

Muro, Javier, Morton Canty, Knut Conradsen, Christian Hüttich, Allan Aasbjerg Nielsen, Henning Skriver, Florian Remy, Adrian Strauch, Frank Thonfeld, and Gunter Menz. 2016. “Short-Term Change Detection in Wetlands Using Sentinel-1 Time Series.” Remote Sensing 8 (10). https://doi.org/10.3390/rs8100795.

Myers, Norman, Russell A. Mittermeier, Cristina G. Mittermeier, Gustavo A. B. da Fonseca, and Jennifer Kent. 2000. “Biodiversity Hotspots for Conservation Priorities.” Nature 403 (6772): 853–58. https://doi.org/10.1038/35002501.

Parish, Faizal, AA Sirin, D Charman, Hans Joosten, T Yu Minaeva, and Marcel Silvius. 2008. “Assessment on Peatlands, Biodiversity and Climate Change.”

Pham, Minh-Tan, Grégoire Mercier, and Julien Michel. 2016. “Change Detection Between SAR Images Using a Pointwise Approach and Graph Theory.” IEEE Transactions on Geoscience and Remote Sensing 54 (4): 2020–32. https://doi.org/10.1109/TGRS.2015.2493730.

Qu, Xiaofan, Feng Gao, Junyu Dong, Qian Du, and Heng-Chao Li. 2021. “Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network,” April.

Roig, Claudio, and Fidel A Roig. 2004. “Consideraciones Generales.” Los Turbales de La Patagonia: Bases Para Su Inventario y La Conservación de Su Biodiversidad. Wetlands Internacional, Buenos Aires, 5–21.

Rojas, Jorge Valenzuela, and Roberto Schlatter. 2004. “Las Turberas de La Isla Chiloé (x Región, Chile): Aspectos Sobre Usos y Estado de Conservación.” Los Turbales de La Patagonia, 87. http://bibliotecadigital.ciren.cl/bitstream/handle/20.500.13082/26803/Turbales%20de%20la%20Patagonia.pdf?sequence=1&isAllowed=y#page=89.

Saha, Sudipan, Francesca Bovolo, and Lorenzo Bruzzone. 2021. “Building Change Detection in VHR SAR Images via Unsupervised Deep Transcoding.” IEEE Transactions on Geoscience and Remote Sensing 59 (3): 1917–29. https://doi.org/10.1109/TGRS.2020.3000296.

Schlatter, Roberto P, and Juan E Schlatter. 2004. “Los Turbales de Chile.” Los Turbales de La Patagonia. Bases Para Su Inventario y La Conservación de Su Biodiversidad, Publicación, no. 19: 75–80.

Schofield W.B. 1985. “Introduction to Bryology.”

Settele, Josef, Robert Scholes, R Betts, Stuart Bunn, Paul Leadley, Daniel Nepstad, Jonathan T Overpeck, et al. 2014. “Terrestrial and Inland Water Systems.” Climate Change 260: 271–359.

Steffen, Will, Wendy Broadgate, Lisa Deutsch, Owen Gaffney, and Cornelia Ludwig. 2015. “The Trajectory of the Anthropocene: The Great Acceleration.” The Anthropocene Review 2 (1): 81–98. https://doi.org/10.1177/2053019614564785.

Sumaiya, M. N., and R. Shantha Selva Kumari. 2016. “Logarithmic Mean-Based Thresholding for SAR Image Change Detection.” IEEE Geoscience and Remote Sensing Letters 13 (11): 1726–28. https://doi.org/10.1109/LGRS.2016.2606119.

Treimun, John. 2017. “Turberas de Chiloé, Ministerio del Medio Ambiente, Chile.”

Wang, Junjie, Feng Gao, Junyu Dong, Shan Zhang, and Qian Du. 2022. “Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15: 1823–36. https://doi.org/10.1109/JSTARS.2022.3146167.

Wang, Yi, Conrad M. Albrecht, and Xiao Xiang Zhu. 2022. “Self-Supervised Vision Transformers for Joint SAR-optical Representation Learning.” arXiv. http://arxiv.org/abs/2204.05381.

Wu, Hui, Heng-Chao Lit, Gang Yang, and Wen Yang. 2019. “Change Detection of Remote Sensing Images Based on Weighted Nonnegative Matrix Factorization.” In 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 1–4. https://doi.org/10.1109/Multi-Temp.2019.8866946.

Yan, Tianyu, Zifu Wan, and Pingping Zhang. 2022. “Fully Transformer Network for Change Detection of Remote Sensing Images.” arXiv. http://arxiv.org/abs/2210.00757.

Zedler, Joy B, and Suzanne Kercher. 2005. “Wetland Resources: Status, Trends, Ecosystem Services, and Restorability.” Annu. Rev. Environ. Resour. 30: 39–74.

Zegers, Gabriela, Juan Larraín, María Francisca Díaz, and Juan Armesto. 2006. “Impacto Ecológico y Social de La Explotación de Pomponales y Turberas de Sphagnum En La Isla Grande de Chiloé.” http://biblioteca.cehum.org/handle/CEHUM2018/1389.

Zhan, Yang, Kun Fu, Menglong Yan, Xian Sun, Hongqi Wang, and Xiaosong Qiu. 2017. “Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images.” IEEE Geoscience and Remote Sensing Letters 14 (10): 1845–49. https://doi.org/10.1109/LGRS.2017.2738149.

Zhang, Xiao, Xin Su, Qiangqiang Yuan, and Qing Wang. 2021. “Spatial-Temporal Gray-Level Co-Occurrence Aware CNN for SAR Image Change Detection.” IEEE Geoscience and Remote Sensing Letters PP (September): 1–5. https://doi.org/10.1109/LGRS.2021.3110302.

Zhang, Xinzheng, Hang Su, Ce Zhang, Xiaowei Gu, Xiaoheng Tan, and Peter M. Atkinson. 2020. “Robust Unsupervised Small Area Change Detection from SAR Imagery Using Deep Learning.”

Zhu, Zhe, Shi Qiu, and Su Ye. 2022. “Remote Sensing of Land Change: A Multifaceted Perspective.” Remote Sensing of Environment 282: 113266. https://doi.org/https://doi.org/10.1016/j.rse.2022.113266.