@inproceedings{5e5e8d7808104f18b10af77db98c7f5c,
title = "Using DMSP/OLS Nighttime Light to Estimate Electric Power Consumption: Perspective from Transferability Across Years",
abstract = "Nighttime light (NTL) remote sensing offers an efficient method to estimate electric power consumption (EPC). However, few research applied the estimation model of a certain year to other years' data for validation, and its transferability across years has not been investigated. Taking mainland China as an example, this paper aims to develop an EPC estimation model which is transferable across years. Partial least square regression (PLSR) was used to build the estimation model for EPC with entire DN series of NTL. Then, the model of each single year 2004-2013 was applied to the other years to validate its transferability across years. Results revealed that PLSR performed well both in model calibration (mean R2c=0.89) and model transfer (mean R2p=0.87). We concluded that PLSR models could effectively excavated reliable quantitative relationship between NTL and EPC, and held good transferability across years.",
keywords = "DMSP/OLS, electric power",
author = "Kun Qi and Yi'Na Hu and Weixin Zhai and Chengqi Cheng and Bo Chen",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",
year = "2019",
month = jul,
doi = "10.1109/IGARSS.2019.8898942",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4387--4390",
booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",
address = "美国",
}