Mapping impervious surface area increase and urban pluvial flooding using Sentinel Application Platform (SNAP) and remote sensing data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-30990-y.pdf
Reference62 articles.
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2. Ahmad MN, Zhengfeng S, Yaseen A, Khalid MN, Javed A (2022c) The Simulation and Prediction of Land Surface Temperature Based on SCP and CA-ANN Models Using Remote Sensing Data: A Case Study of Lahore. Photogramm Eng Remote Sens 88(12):783–790
3. Ahmad MN, Shao Z, Javed A, Islam F, Ahmad HH, Aslam RW (2023) The Cellular Automata Approach in Dynamic Modelling of Land Use Change Detection and Future Simulations Based on Remote Sensing Data in Lahore Pakistan. Photogramm Eng Remote Sens 89(1):47–55
4. Ahmad M, Shao Z, Javed A (2022b) Modelling land use/land cover (LULC) change dynamics, future prospects, and its environmental impacts based on geospatial data models and remote sensing data. Environ Sci Pollut Res 1–17. https://doi.org/10.1007/s11356-022-24442-2
5. Amitrano D, Di Martino G, Iodice A, Riccio D, Ruello G (2018) Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images. IEEE Trans Geosci Remote Sens 56(6):3290–3299
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