Thông tin tài nguyên

Deciphering climate-induced displacement in Somalia: A remote sensing perspective

pmc-PMC11315326.pdf · Phiên bản 1 · 27 trang

18
Bản gốc
Trang 27 · Đoạn 65Vị trí nguồn

40. Laban N, Abdellatif B, Ebeid HM, Shedeed HA, Tolba MF. Sparse pixel training of convolutional neural networks for land cover classification. IEEE Access. 2021 Mar 30; 9: 52067–78. 41. Cammalleri C, Arias-Muñoz C, Barbosa P, de Jager A, Magni D, Masante D, et al. A revision of the Combined Drought Indicator (CDI) as part of the European Drought Observatory (EDO). Natural Haz- ards and Earth System Sciences Discussions. 2020 Aug 7: 1–34. 42. Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention; 2015. p. 234–41. Springer, Cham. 43. Zhang Z, Geng X. Deep learning for remote sensing data: A technical tutorial on the state of the art. IEEE Geoscience and Remote Sensing Magazine. 2017; 4(2): 22–40. 44. Audebert N, Le Saux B, Lefèvre S. Deep learning for classification of hyperspectral data: A comparative review. IEEE Geoscience and Remote Sensing Magazine. 2019; 7(2): 159–173. 45. Houborg R, McCabe MF. High-resolution NDVI from Planet’s constellation of Earth observing nano-satel- lites: A new data source for precision agriculture. Remote Sensing of Environment. 2018; 215: 91–103. 46. Chen J, Ban Y, Li S. China: Open access to Earth land-cover map. Nature. 2014; 514(7523): 434–434. 47. De Haas H. A theory of migration: the aspirations-capabilities framework. Comparative Migration Stud- ies. 2021 Dec; 9(1): 1–35. https://doi.org/10.1186/s40878-020-00210-4 PMID: 33680858 PLOS ONE

Trang 27 · Đoạn 66Vị trí nguồn

Deciphering Climate-induced Displacement in Somalia: A Remote Sensing Perspective PLOS ONE | https://doi.org/10.1371/journal.pone.0304202 August 9, 2024 27 / 27