Impervious Surface Area Prediction Using Landsat Satellite Imagery and Open Source GIS Plugin
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8568-5_23
Reference22 articles.
1. Majid MR, Jamaludin JA, Ibrahim WYW (2013) Estimation of residential impervious surface using GIS technique. Plan Malaysia 11:23–38. https://doi.org/10.21837/pmjournal.v11.i2.114
2. Ongsomwang S, Pimjai M (2014) Land use and land cover prediction and its impact on surface runoff
3. Zhang H, Gorelick SM, Zimba PV (2020) Extracting impervious surface from aerial imagery using semi-automatic sampling and spectral stability. Remote Sens 12(3). https://doi.org/10.3390/rs12030506
4. Kamaraj M, Rangarajan S (2022) Predicting the future land use and land cover changes for Bhavani basin, Tamil Nadu, India, using QGIS MOLUSCE plugin. Environ Sci Pollut Res 29(57):86337–86348. https://doi.org/10.1007/s11356-021-17904-6
5. Hu X, Weng Q (2009) Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks. Remote Sens Environ 113(10):2089–2102. https://doi.org/10.1016/j.rse.2009.05.014
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