Application of remote sensing satellite data for carbon emission reduction

被引：9

作者：

Chen, Jiandong ^{[1
]}

Gao, Ming ^{[1
]}

Huang, Shasha ^{[1
]}

Hou, Wenxuan ^{[2
,3
]}

机构：

[1] Southwestern Univ Finance & Econ, Sch Publ Adm, Chengdu 611130, Peoples R China

[2] Shanghai Lixin Univ Accounting & Finance, Sch Finance, Shanghai, Peoples R China

[3] Univ Edinburgh, Business Sch, Edinburgh, Midlothian, Scotland

来源：

JOURNAL OF CHINESE ECONOMIC AND BUSINESS STUDIES | 2021年 / 19卷 / 02期

关键词：

Satellite data; carbon emissions; application; SOIL ORGANIC-CARBON; MAXIMUM-LIKELIHOOD CLASSIFICATION; GROSS PRIMARY PRODUCTION; LAND-COVER; ABOVEGROUND BIOMASS; FOREST BIOMASS; COASTAL ZONE; CLIMATE; EFFICIENCY; MANGROVES;

D O I：

10.1080/14765284.2021.1920329

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

There is a global consensus that carbon dioxide and other greenhouse gas emissions must be reduced as a response to global climate change. Remote sensing satellite data have become an important means of monitoring carbon emission due to its unique advantages such as availability, high resolution, and wide coverage, and remote sensing data are playing an increasingly important role in carbon monitoring and fixation. This article summarizes the main applications of remote sensing satellite data in reducing carbon emissions and prospects for future research.

引用

页码：109 / 117

页数：9

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