Assessing sustainable development prospects through remote sensing: A review

被引:60
作者
Avtar, Ram [1 ]
Komolafe, Akinola Adesuji [2 ]
Kouser, Asma [3 ]
Singh, Deepak [4 ]
Yunus, Ali P. [5 ]
Dou, Jie [6 ]
Kumar, Pankaj [7 ]
Das Gupta, Rajarshi [7 ]
Johnson, Brian Alan [7 ]
Huynh Vuong Thu Minh [8 ]
Aggarwal, Ashwani Kumar [9 ]
Kurniawan, Tonni Agustiono [10 ]
机构
[1] Hokkaido Univ, Fac Environm Earth Sci, Sapporo, Hokkaido 0600810, Japan
[2] Fed Univ Technol Akure, Dept Remote Sensing & Geosci Informat Syst, PMB 704, Akure, Nigeria
[3] Bengaluru Cent Univ BCU, Dept Econ, PO Rd, Bengaluru 560001, Karnataka, India
[4] Chinese Univ Hong Kong CUHK, Dept Geog & Resource Management, Sha Tin, Hong Kong, Peoples R China
[5] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China
[6] Nagaoka Univ Technol, Dept Civil & Environm Engn, 1603-1 Kami Tomioka, Nagaoka, Niigata 9402188, Japan
[7] Inst Global Environm Strategies, Nat Resources & Ecosyst Serv, Hayama, Kanagawa 2400115, Japan
[8] Cantho Univ, Coll Environm & Nat Resources, Dept Water Resources, Cantho City 900000, Vietnam
[9] St Longowal Inst Engn & Technol, Elect & Instrumentat Engn Dept, Longowal 148106, Punjab, India
[10] Xiamen Univ, Key Lab Coastal & Wetland Ecosyst, Coll Environm & Ecol, Minist Educ, Xiamen 361102, Peoples R China
关键词
Natural resource management; Sustainability; Natural hazards; Decision support system; Indices; POSITIONING SYSTEM TECHNIQUES; GEOGRAPHIC INFORMATION-SYSTEMS; CROP CHLOROPHYLL CONTENT; GROSS PRIMARY PRODUCTION; WATER INDEX NDWI; VEGETATION INDEX; SPECIES RICHNESS; SURFACE-WATER; POPULATION-DENSITY; SNOW COVER;
D O I
10.1016/j.rsase.2020.100402
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Earth's ecosystems face severe environmental stress from unsustainable socioeconomic development linked to population growth, urbanization, and industrialization. Governments worldwide are interested in sustainability measures to address these issues. Remote sensing allows for the measurement, integration, and presentation of useful information for effective decision-making at various temporal and spatial scales. Scientists and decision-makers have endorsed extensive use of remote sensing to bridge gaps among disciplines and achieve sustainable development. This paper presents an extensive review of remote sensing technology used to support sustainable development efforts, with a focus on natural resource management and assessment of natural hazards. We further explore how remote sensing can be used in a cross-cutting, interdisciplinary manner to support decision-making aimed at addressing sustainable development challenges. Remote sensing technology has improved significantly in terms of sensor resolution, data acquisition time, and accessibility over the past several years. This technology has also been widely applied to address key issues and challenges in sustainability. Furthermore, an evaluation of the suitability and limitations of various satellite-derived indices proposed in the literature for assessing sustainable development goals showed that these older indices still perform reasonably well. Nevertheless, with advancements in sensor radiometry and resolution, they were less exploited and new indices are less explored.
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页数:17
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