Quantifying annual land-cover change and vegetation greenness variation in a coastal ecosystem using dense time-series Landsat data. Issue 5 (4th July 2019)
- Record Type:
- Journal Article
- Title:
- Quantifying annual land-cover change and vegetation greenness variation in a coastal ecosystem using dense time-series Landsat data. Issue 5 (4th July 2019)
- Main Title:
- Quantifying annual land-cover change and vegetation greenness variation in a coastal ecosystem using dense time-series Landsat data
- Authors:
- Li, Dengqiu
Lu, Dengsheng
Li, Nan
Wu, Ming
Shao, Xuexin - Abstract:
- Abstract : Land-cover change may affect water and carbon cycles when transitioning from one land-cover category to another (land-cover conversion, LCC) or when the characteristics of the land-cover type are altered without changing its overall category (land-cover modification, LCM). Given the increasing availability of time-series remotely sensed data for earth monitoring, there has been increased recognition of the importance of accounting for both LCC and LCM to study annual land-cover changes. In this study, we integrated 1, 513 time-series Landsat images and a change-updating method to identify annual LCC and LCM during 1986–2015 in the coastal area of Zhejiang Province, China. The purpose was to quantify their contributions to land-cover changes and impacts on the amount of vegetation. The results show that LCC and LCM can be successfully distinguished with an overall accuracy of 90.0%. LCM accounted for 22% and 40.5% of the detected land-cover changes in reclaimed and inland areas, respectively, during 1986–2015. In the reclaimed area, LCC occurred mostly in muddy tidal flats, construction land, aquaculture ponds, and freshwater herbaceous land, whereas LCM occurred mostly in freshwater herbaceous land, Spartina alterniflora, and muddy tidal flats. In the inland area, both LCC and LCM were concentrated in forest and dryland. Overall, LCC had a mean magnitude of normalized difference vegetation index (NDVI) change similar to that of LCM. However, LCC had a positiveAbstract : Land-cover change may affect water and carbon cycles when transitioning from one land-cover category to another (land-cover conversion, LCC) or when the characteristics of the land-cover type are altered without changing its overall category (land-cover modification, LCM). Given the increasing availability of time-series remotely sensed data for earth monitoring, there has been increased recognition of the importance of accounting for both LCC and LCM to study annual land-cover changes. In this study, we integrated 1, 513 time-series Landsat images and a change-updating method to identify annual LCC and LCM during 1986–2015 in the coastal area of Zhejiang Province, China. The purpose was to quantify their contributions to land-cover changes and impacts on the amount of vegetation. The results show that LCC and LCM can be successfully distinguished with an overall accuracy of 90.0%. LCM accounted for 22% and 40.5% of the detected land-cover changes in reclaimed and inland areas, respectively, during 1986–2015. In the reclaimed area, LCC occurred mostly in muddy tidal flats, construction land, aquaculture ponds, and freshwater herbaceous land, whereas LCM occurred mostly in freshwater herbaceous land, Spartina alterniflora, and muddy tidal flats. In the inland area, both LCC and LCM were concentrated in forest and dryland. Overall, LCC had a mean magnitude of normalized difference vegetation index (NDVI) change similar to that of LCM. However, LCC had a positive effect and LCM had a negative effect on NDVI change in the reclaimed area. Both LCC and LCM in the inland area had negative impacts on vegetation greenness, but LCC resulted in larger NDVI change magnitude. Impacts of LCC and LCM on vegetation greenness were quantified for each land-cover type. This study provided a methodological framework to take both LCC and LCM into account when analyzing land-cover changes and quantified their effects on coastal ecosystem vegetation. … (more)
- Is Part Of:
- GIScience & remote sensing. Volume 56:Issue 5(2019)
- Journal:
- GIScience & remote sensing
- Issue:
- Volume 56:Issue 5(2019)
- Issue Display:
- Volume 56, Issue 5 (2019)
- Year:
- 2019
- Volume:
- 56
- Issue:
- 5
- Issue Sort Value:
- 2019-0056-0005-0000
- Page Start:
- 769
- Page End:
- 793
- Publication Date:
- 2019-07-04
- Subjects:
- land-cover conversion -- land-cover modification -- abrupt change -- time-series Landsat -- vegetation greenness
Geodesy -- Periodicals
Cartography -- Periodicals
Aerial photogrammetry -- Periodicals
Remote sensing -- Periodicals
526.05 - Journal URLs:
- http://bellwether.metapress.com/content/120751/ ↗
http://www.ingentaselect.com/vl=7363692/cl=16/nw=1/rpsv/cw/bell/15481603/contp1.htm ↗
http://www.tandfonline.com/toc/tgrs20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/15481603.2019.1565104 ↗
- Languages:
- English
- ISSNs:
- 1548-1603
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4179.386000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10447.xml