Temporal and spatial changes of the yellow river delta wetland based on multi-source data during 30 years
Lecture Notes in Electrical Engineering, ISSN: 1876-1119, Vol: 541, Page: 286-299
2019
- 5Citations
- 2Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
Estuary wetlands are important and vulnerable. In order to demonstrate the performance of the imaging data of Wide-band Imaging Spectrometer of Tiangong-2 in wetland classification and detect the changes of the Yellow River Delta wetland, we used object-oriented classification, landscape center of gravity transfer model and landscape index to depict the temporal and spatial changes of the Yellow River Delta wetland in the past 30 years from 1986 to 2016. Landsat 5 TM data in 1986 and imaging data of Wide-band Imaging Spectrometer of Tiangong-2 in 2016, as well as Landsat 8 OLI in 2016, were utilized. The imaging data of Wide-band Imaging Spectrometer of Tiangong-2 was fused with Landsat image by Gram-Schmidt spectral sharpening algorithm for analysis. It shows that: (1) After fusion with the higher resolution image, Tiangong-2 multi-spectral data is helpful for wetland study. (2) The natural wetlands decreased from 2404.24 km in 1986 to 1666.47 km in the past 30 years. Human-made wetlands increased from 42.41 km in 1986 to 836.58 km in 2016. (3) During the past 30 years, the gravity centers of natural wetlands, human-made wetlands and non-wetlands have been shifting towards the sea respectively. The shifting distance of human-made wetlands was larger. (4) The wetland landscape index indicated that the landscape pattern dominated by natural wetlands tended to be dominated by non-wetlands.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85058528773&origin=inward; http://dx.doi.org/10.1007/978-981-13-3501-3_27; http://link.springer.com/10.1007/978-981-13-3501-3_27; http://link.springer.com/content/pdf/10.1007/978-981-13-3501-3_27; https://dx.doi.org/10.1007/978-981-13-3501-3_27; https://link.springer.com/chapter/10.1007/978-981-13-3501-3_27
Springer Nature
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know