资源科学 ›› 2021, Vol. 43 ›› Issue (12): 2381-2392.doi: 10.18402/resci.2021.12.02

• “澜沧江—湄公河流域农业资源与环境”专栏 • 上一篇    下一篇

基于夜间灯光数据的1992—2020年老挝经济社会发展时空变化

姜鲁光1,2(), 杨成1,2, 刘晔1,2   

  1. 1.中国科学院地理科学与资源研究所,北京 100101
    2.中国科学院大学资源与环境学院,北京 100049
  • 收稿日期:2021-05-11 修回日期:2021-08-17 出版日期:2021-12-25 发布日期:2022-02-16
  • 作者简介:姜鲁光,男,山东临沂人,博士,副研究员,主要从事土地利用变化与自然资源综合评估研究。E-mail: jianglg@igsnrr.ac.cn
  • 基金资助:
    澜沧江—湄公河合作专项;国家自然科学基金项目(42071253)

Spatiotemporal changes of economic and social development in Laos based on nighttime light data, 1992-2020

JIANG Luguang1,2(), YANG Cheng1,2, LIU Ye1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2021-05-11 Revised:2021-08-17 Online:2021-12-25 Published:2022-02-16

摘要:

老挝是中国的重要邻国,也是“一带一路”倡议和澜沧江—湄公河合作机制的重要合作伙伴,经济基础较为薄弱,但发展势头迅猛,经济社会发展深受周边国家的影响。本文以长时间序列夜间灯光数据为主要数据源,构建了一套适用于老挝实际的DMSP和VIIRS夜间灯光数据集成方法,通过对老挝全国夜间灯光的空间分异、灯光重心的时空演变、各行政区灯光高值区变化、主要城市及边境地区的灯光时空特征分析,系统研究了1992—2020年老挝经济社会发展空间格局及变化特征。研究表明:①2020年,老挝灯光高值区面积仅占国土总面积的1.0%,各省(市)发展水平差距明显,未来发展潜力巨大;②1992—2020年,灯光重心的空间变化轨迹呈鲜明的“V”字型特征,2006年后北部地区城市发展速度相对快于南部地区;③按2020年灯光高值区面积进行评价,老挝最大的5个城市依次是万象市、沙湾拿吉市、巴色市、琅勃拉邦市和沙耶武里市;④首都万象的城市首位度虽持续下降,但仍处于绝对优势,万象灯光高值区面积占老挝全国的1/3;⑤老泰边境是老挝边境经济社会活动的主要地区,老中边境地区面积虽小,但2013年以来灯光数据提升最快。精准认知老挝经济社会发展的空间格局及其时间变化,对于开展中老合作具有现实意义。

关键词: 夜间灯光, DMSP-OLS, NPP-VIIRS, 城市首位度, 边境发展, 时空变化, 老挝

Abstract:

Laos is China’s important neighboring country and one of the key regions of the Belt and Road initiative. It is also the only landlocked country in Southeast Asia. Its economic foundation is weak, but the development momentum is high. The economic and social developments are deeply influenced by the neighboring countries. Accurate understanding of the spatial pattern and temporal changes of Laos’ economic and social developments is of great practical significance for China-Laos cooperation. Based on the long time series nightlight data, this study developed a Defense Meteorological Satellite Program (DMSP) and Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime light data integration method suitable for Laos. Through the analysis of the spatial differentiation of the current situation of nighttime lights in Laos, the temporal and spatial change of light gravity center, the areal change of high value areas of lights in each administrative region, and the temporal and spatial characteristics of lights in major cities and border areas, this study systematically examined the spatial pattern and change characteristics of economic and social developments in Laos in recent 30 years. (1) In 2020, the total area of high value areas of lights in Laos was 2488.9 km2. Vientiane, the capital city of Laos, was still in an absolute dominant position in spite of a continuous decline in city primacy level. In 2020, the high value areas of lights in Vientiane accounted for 1/3 of the total area of that in Laos. (2) The spatial variation trajectory of light center of gravity showed a distinct V shape. After 2006, urban development in the northern region was faster than that in the southern region, and the economic and social development gaps between the north and the south decreased. (3) From 1992 to 2020, the economic and social developments of Laos continued, and the total area of the high value areas of lights increased by 85.4 km2 annually. According to the areal evaluation of the high value areas of lights in 2020, the five largest cities in Laos were Vientiane, Basse, Sawan Naket, Luang Prabang, and Xayaburi. (4) The Laos-Thailand border area is the main area of economic and social activities in the border areas of Laos, with the area of high light value accounting for 35.7% of the country’s total and 90.5% of the border areas. The Laos-China border area, though small, has seen the biggest increase.

Key words: nighttime lights, DMSP-OLS, NPP-VIIRS, urban primacy, border development, spatiotemporal change, Laos