Estimation of Gross Domestic Product Using Multi-Sensor Remote Sensing Data: A Case Study in Zhejiang Province, East China
There exists a spatial mismatch between socioeconomic data, such as Gross Domestic Product (GDP), and physical and environmental datasets. This study provides a dasymetric approach for GDP estimation at a fine scale by combining the Defense Meteorological Satellite Program Operational Linescan Syste...
Main Authors: | Wenze Yue, Jiabin Gao, Xuchao Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-08-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/6/8/7260 |
Similar Items
-
An Improved Correction Method of Nighttime Light Data Based on EVI and WorldPop Data
by: Pengfei Liu, et al.
Published: (2020-12-01) -
The evaluate of urban development in Zhejiang province based on DMSP/OLS nighttime light data(基于DMSP/OLS夜间灯光数据的浙江省城镇发展评价)
by: QINHan(秦汉), et al.
Published: (2017-11-01) -
Impact of Government Fiscal Space and Manpower to The Gross Domestic Products of Indonesia Period 1990-2015
by: Tria Enjarwati, et al.
Published: (2018-07-01) -
Uneven Frontiers: Exposing the Geopolitics of Myanmar’s Borderlands with Critical Remote Sensing
by: Mia M. Bennett, et al.
Published: (2021-03-01) -
Identifying and Correcting Signal Shift in DMSP-OLS Data
by: Konstantin Ash, et al.
Published: (2020-07-01)