926
Views
17
CrossRef citations to date
0
Altmetric
Articles

Improving impervious surface estimation: an integrated method of classification and regression trees (CART) and linear spectral mixture analysis (LSMA) based on error analysis

ORCID Icon, ORCID Icon, ORCID Icon, , & ORCID Icon
Pages 583-603 | Received 22 May 2017, Accepted 07 Dec 2017, Published online: 26 Dec 2017

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (5)

Wei Fan, Jinsong Chen, Xiaoli Li, Paolo Tarolli & Jin Wang. (2022) Multitemporal impervious surface estimation via an optimized stable/change pixel detection approach. GIScience & Remote Sensing 59:1, pages 1406-1425.
Read now
Guiying Li, Longwei Li, Dengsheng Lu, Wei Guo & Wenhui Kuang. (2020) Mapping impervious surface distribution in China using multi-source remotely sensed data. GIScience & Remote Sensing 57:4, pages 543-552.
Read now
Wei Guo, Guiying Li, Wenjian Ni, Yuhuan Zhang & Dengsheng Lu. (2018) Exploring improvement of impervious surface estimation at national scale through integration of nighttime light and Proba-V data. GIScience & Remote Sensing 55:5, pages 699-717.
Read now

Articles from other publishers (12)

Yuewan Wu & Jiayi Pan. (2023) Detecting Changes in Impervious Surfaces Using Multi-Sensor Satellite Imagery and Machine Learning Methodology in a Metropolitan Area. Remote Sensing 15:22, pages 5387.
Crossref
Tao Pan, Baofu Li & Letian Ning. (2023) Impervious Surface Area Patterns and Their Response to Land Surface Temperature Mechanism in Urban–Rural Regions of Qingdao, China. Remote Sensing 15:17, pages 4265.
Crossref
Prathiba A. Palanisamy, Kamal Jain & Stefania Bonafoni. (2023) Machine Learning Classifier Evaluation for Different Input Combinations: A Case Study with Landsat 9 and Sentinel-2 Data. Remote Sensing 15:13, pages 3241.
Crossref
Yulin Ding, Qing Ding, Jie Yang, Zhenfeng Shao & Xiao Huang. (2022) PRISI: A novel piecewise radar impervious surface index for urban monitoring using Sentinel-1 data. International Journal of Applied Earth Observation and Geoinformation 114, pages 103033.
Crossref
Jash R. Parekh, Ate Poortinga, Biplov Bhandari, Timothy Mayer, David Saah & Farrukh Chishtie. (2021) Automatic Detection of Impervious Surfaces from Remotely Sensed Data Using Deep Learning. Remote Sensing 13:16, pages 3166.
Crossref
Gengzhe Wang, Qi Han & Bauke de vries. (2021) The multi-objective spatial optimization of urban land use based on low-carbon city planning. Ecological Indicators 125, pages 107540.
Crossref
Peng Dou & Chao Zeng. (2020) Hyperspectral Image Classification Using Feature Relations Map Learning. Remote Sensing 12:18, pages 2956.
Crossref
Wei Fan, Changshan Wu & Jin Wang. (2019) Improving Impervious Surface Estimation by Using Remote Sensed Imagery Combined With Open Street Map Points-of-Interest (POI) Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12:11, pages 4265-4274.
Crossref
Yuliang Wang & Mingshi Li. (2019) Urban Impervious Surface Detection From Remote Sensing Images: A review of the methods and challenges. IEEE Geoscience and Remote Sensing Magazine 7:3, pages 64-93.
Crossref
Tao Pan, Wenhui Kuang, Rafiq Hamdi, Chi Zhang, Shu Zhang, Zhili Li & Xin Chen. (2019) City-Level Comparison of Urban Land-Cover Configurations from 2000–2015 across 65 Countries within the Global Belt and Road. Remote Sensing 11:13, pages 1515.
Crossref
Shanshan Feng & Fenglei Fan. (2019) A Hierarchical Extraction Method of Impervious Surface Based on NDVI Thresholding Integrated With Multispectral and High-Resolution Remote Sensing Imageries. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12:5, pages 1461-1470.
Crossref
Zhongchang Sun, Xiangwei Zhao, Mengfan Wu & Cuizhen Wang. (2018) Extracting Urban Impervious Surface from WorldView-2 and Airborne LiDAR Data Using 3D Convolutional Neural Networks. Journal of the Indian Society of Remote Sensing 47:3, pages 401-412.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.