首页|A review of land use/land cover change mapping in the China-Central Asia-West Asia economic corridor countries

A review of land use/land cover change mapping in the China-Central Asia-West Asia economic corridor countries

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Large-scale projects,such as the construction of railways and high-ways,usually cause an extensive Land Use Land Cover Change(LULCC).The China-Central Asia-West Asia Economic Corridor(CCAWAEC),one key large-scale project of the Belt and Road Initiative (BRI),covers a region that is home to more than 1.6 billion people.Although numerous studies have been con-ducted on strategies and the economic potential of the Economic Corridor,reviewing LULCC mapping studies in this area has not been studied.This study provides a comprehensive review of the recent research progress and discusses the challenges in LULCC monitoring and driving factors identifying in the study area.The review will be helpful for the decision-making of sustainable devel-opment and construction in the Economic Corridor.To this end,350 peer-reviewed journal and conference papers,as well as book chapters were analyzed based on 17 attributes,such as main driv-ing factors of LULCC,data collection methods,classification algo-rithms,and accuracy assessment methods.It was observed that:(1)rapid urbanization,industrialization,population growth,and cli-mate change have been recognized as major causes of LULCC in the study area;(2) LULCC has,directly and indirectly,caused several environmental issues,such as biodiversity loss,air pollution,water pollution,desertification,and land degradation;(3) there is a lack of well-annotated national land use data in the region;(4) there is a lack of reliable training and reference datasets to accurately study the long-term LULCC in most parts of the study area;and (5) several technical issues still require more attention from the scientific community.Finally,several recommendations were proposed to address the identified issues.

Land use changeland cover changeChina-Central Asia-West Asia Economic Corridoraccuracy assessmentreference dataclassification algorithm

Amin Naboureh、Jinhu Bian、Guangbin Lei、Ainong Li

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Research Center for Digital Mountain and Remote Sensing Application,Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu,China

University of Chinese Academy of Sciences,Beijing,China

This research was jointly funded by the Strategic Priority Research Program of the Chinese Academy of Science (CAS)and the National Natural Science Foundation of Chinaand the National Natural Science Foundation of Chinaand the National Natural Science Foundation of ChinaYouth Innovation Promotion Association CASand the CAS-TWAS President's Fellowship for International Doctoral Students

XDA19030303416311804170143241571373Grant 2019365

2021

地球大数据(英文版)

地球大数据(英文版)

ISSN：
年,卷(期)：2021.5(2)
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