Multitemporal ensemble learning for snow cover extraction from high-spatial-resolution images in mountain areas-Reference-Cited by-同舟云学术

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Multitemporal ensemble learning for snow cover extraction from high-spatial-resolution images in mountain areas

Published:2019-10-08 Issue:5 Volume:41 Page:1668-1691
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xiao Pengfeng¹²³^ORCID,Li Chengxi¹,Zhu Luijun⁴,Zhang Xueliang¹²³,Ma Tengyao¹,Feng Xuezhi¹²³

Affiliation:

1. Department of Geographic Information Science, School of Geography and Ocean Science, Nanjing University, Nanjing, Jiangsu, China

2. Collaborative Innovation Center of South China Sea Studies, Nanjing, Jiangsu, China

3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, Jiangsu, China

4. Department of Civil Engineering, Monash University, Clayton, Australia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1674458

Reference43 articles.

1. Random forest in remote sensing: A review of applications and future directions

2. The analysis of decomposition methods for support vector machines

3. FLAASH, a MODTRAN4-based atmospheric correction algorithm, its application and validation

4. Multitemporal snow cover mapping in mountainous terrain for Landsat climate data record development

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1. A new snow cover mapping algorithm for Chinese geostationary meteorological satellite FY-4A AGRI data;International Journal of Digital Earth;2024-06-19

2. Subsurface drainage pipe detection using an ensemble learning approach and aerial images;Agricultural Water Management;2023-09

3. Exploring the links between variations in snow cover area and climatic variables in a Himalayan catchment using earth observations and CMIP6 climate change scenarios;Journal of Hydrology;2022-05

4. Development and validation of a new MODIS snow-cover-extent product over China;Hydrology and Earth System Sciences;2022-04-19

5. Real-time monitoring of cyanobacterial blooms dynamics around Lake Chaohu based on video surveillance images;Journal of Lake Sciences;2022

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