An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach
Timely and accurate global urban maps are fundamental in monitoring urbanization process and understanding environmental degradation. Therefore, this paper proposed a locally adaptive and fully automated global mapping method and produced an updated 250 m MODIS global urban area product (MGUP) from...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-03-01
|
| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243420308989 |
| _version_ | 1811230728748269568 |
|---|---|
| author | Xin Huang Jiongyi Huang Dawei Wen Jiayi Li |
| author_facet | Xin Huang Jiongyi Huang Dawei Wen Jiayi Li |
| author_sort | Xin Huang |
| collection | DOAJ |
| description | Timely and accurate global urban maps are fundamental in monitoring urbanization process and understanding environmental degradation. Therefore, this paper proposed a locally adaptive and fully automated global mapping method and produced an updated 250 m MODIS global urban area product (MGUP) from 2001 to 2018. The proposed approach mainly consists of 1) automated samples extraction from existing global products, 2) locally adaptive samples selection and trained classification in each 5° × 5° grid, and 3) post-processing in terms of the spatio-temporal context. To validate the product, 9 groups of samples for every two years from 2001 to 2018, amounting to over 150,000 sample points, were collected manually from Landsat imagery as global validation dataset. Accuracy assessment indicates that MGUP has a F-score of 0.88, achieving better results than the contemporary global products, i.e., MCD12Q1.v5 (0.82), MCD12Q1.v6 (0.86), and CCI-LC (0.86). Analysis of urban expansion based on MGUP shows that the world’s urban area increased to 802233 km2 and accounted for 0.54% of the Earth’s land surface in 2018. The total global urban area expanded by 1.68 times from 2001 to 2018. At continent level, urban density varies considerably, and the highest and lowest one is in Europe (1.78%) and Oceania (0.15%), respectively. At national level, large increment of urban area mainly occurs in North America, Asia, and South America; and countries having high growth rates are mainly developing countries in Africa and Asia. MGUP can be downloaded at https://www.researchgate.net/publication/339873537_MGUP_annual_global_2001_2018. |
| first_indexed | 2024-04-12T10:32:55Z |
| format | Article |
| id | doaj.art-a554849c75094fdeb4e19b22556631c1 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-12T10:32:55Z |
| publishDate | 2021-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-a554849c75094fdeb4e19b22556631c12022-12-22T03:36:48ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322021-03-0195102255An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approachXin Huang0Jiongyi Huang1Dawei Wen2Jiayi Li3School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China; State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaCollege of Public Administration, Huazhong Agricultural University, Wuhan 430070, China; Corresponding authors.School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China; Corresponding authors.Timely and accurate global urban maps are fundamental in monitoring urbanization process and understanding environmental degradation. Therefore, this paper proposed a locally adaptive and fully automated global mapping method and produced an updated 250 m MODIS global urban area product (MGUP) from 2001 to 2018. The proposed approach mainly consists of 1) automated samples extraction from existing global products, 2) locally adaptive samples selection and trained classification in each 5° × 5° grid, and 3) post-processing in terms of the spatio-temporal context. To validate the product, 9 groups of samples for every two years from 2001 to 2018, amounting to over 150,000 sample points, were collected manually from Landsat imagery as global validation dataset. Accuracy assessment indicates that MGUP has a F-score of 0.88, achieving better results than the contemporary global products, i.e., MCD12Q1.v5 (0.82), MCD12Q1.v6 (0.86), and CCI-LC (0.86). Analysis of urban expansion based on MGUP shows that the world’s urban area increased to 802233 km2 and accounted for 0.54% of the Earth’s land surface in 2018. The total global urban area expanded by 1.68 times from 2001 to 2018. At continent level, urban density varies considerably, and the highest and lowest one is in Europe (1.78%) and Oceania (0.15%), respectively. At national level, large increment of urban area mainly occurs in North America, Asia, and South America; and countries having high growth rates are mainly developing countries in Africa and Asia. MGUP can be downloaded at https://www.researchgate.net/publication/339873537_MGUP_annual_global_2001_2018.http://www.sciencedirect.com/science/article/pii/S0303243420308989Global urban landSamplesClassificationMODISGlobal mapping |
| spellingShingle | Xin Huang Jiongyi Huang Dawei Wen Jiayi Li An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach International Journal of Applied Earth Observations and Geoinformation Global urban land Samples Classification MODIS Global mapping |
| title | An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach |
| title_full | An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach |
| title_fullStr | An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach |
| title_full_unstemmed | An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach |
| title_short | An updated MODIS global urban extent product (MGUP) from 2001 to 2018 based on an automated mapping approach |
| title_sort | updated modis global urban extent product mgup from 2001 to 2018 based on an automated mapping approach |
| topic | Global urban land Samples Classification MODIS Global mapping |
| url | http://www.sciencedirect.com/science/article/pii/S0303243420308989 |
| work_keys_str_mv | AT xinhuang anupdatedmodisglobalurbanextentproductmgupfrom2001to2018basedonanautomatedmappingapproach AT jiongyihuang anupdatedmodisglobalurbanextentproductmgupfrom2001to2018basedonanautomatedmappingapproach AT daweiwen anupdatedmodisglobalurbanextentproductmgupfrom2001to2018basedonanautomatedmappingapproach AT jiayili anupdatedmodisglobalurbanextentproductmgupfrom2001to2018basedonanautomatedmappingapproach AT xinhuang updatedmodisglobalurbanextentproductmgupfrom2001to2018basedonanautomatedmappingapproach AT jiongyihuang updatedmodisglobalurbanextentproductmgupfrom2001to2018basedonanautomatedmappingapproach AT daweiwen updatedmodisglobalurbanextentproductmgupfrom2001to2018basedonanautomatedmappingapproach AT jiayili updatedmodisglobalurbanextentproductmgupfrom2001to2018basedonanautomatedmappingapproach |