Mapping the social inequity of neighborhood visual environment in Los Angeles through computer vision and multi-model machine learning
Siqin Wang
Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA
School of Science, RMIT University, Melbourne, Victoria, Australia
School of Earth and Environmental Sciences, University of Queensland, Brisbane, Australia
Jooyoung Yoo
Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA
Wenhui Cai
School of Science, RMIT University, Melbourne, Victoria, Australia
Fan Yang
School of Communication, Illinois State University, Normal, IL, USA
Xiao Huang
Department of Environmental Sciences, Emory University, Atlanta, GA, USA
Qian Chayn Sun
School of Science, RMIT University, Melbourne, Victoria, Australia
Shaokun Lyu
Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA, USA
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Short summary
Short summary
A case study assessing drought risk in Papua New Guinea (PNG) provinces for retrospective years (2014–2020) was conducted to demonstrate the development and validate the application of a tailored and semi-dynamic drought risk assessment methodology. Hazard, vulnerability, and exposure indicators appropriate for monitoring drought in PNG provinces were selected. The risk assessment accurately indicated a strong drought event in 2015–2016 and a moderate event in 2019.
A. Nurunnabi, N. Teferle, J. Balado, M. Chen, F. Poux, and C. Sun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-W2-2022, 43–50, https://doi.org/10.5194/isprs-archives-XLVIII-3-W2-2022-43-2022, https://doi.org/10.5194/isprs-archives-XLVIII-3-W2-2022-43-2022, 2022
Q. (C.) Sun, S. Das, K. Wang, Y. Tao, M. Amati, J. Hurley, S. Choy, and M. Duckham
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W5-2022, 175–182, https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-175-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-175-2022, 2022