| Title |
Monitoring vegetation cover in Chongqing between 2001 and 2010 using remote sensing data
|
|---|---|
| Published in |
Environmental Monitoring and Assessment, September 2017
|
| DOI | 10.1007/s10661-017-6210-1 |
| Pubmed ID | |
| Authors |
Qiang Xiao, Jianping Tao, Yang Xiao, Feng Qian |
| Abstract |
In this study, we applied asymmetric Gaussian function fitting to reconstruct a high-quality MODIS normalized difference vegetation index (NDVI) time series dataset. Following this, we retrieved vegetation cover data from the Chongqing area between 2001 and 2010 using this dataset, applying a dimidiate pixel method. We then used several analytical indices to analyze spatial and temporal changes and trends related to these changes. We determined that a reconstruction of the MODIS NDVI dataset using asymmetric Gaussian fitting in conjunction with a data quality weight coefficient improved data quality and created a foundation for accurate estimations of vegetation cover. We also determined that vegetation cover in the Chongqing area decreased gradually from east to west. During the 10-year study period, vegetation cover in the Chongqing area generally increased, changing from low to high coverage. This increase in vegetation cover was mainly the result of ecological protection policies and improving climate conditions. We also found that changes in vegetation cover were mainly the result of urban construction and afforestation initiatives, but vegetation cover improved overall. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 26% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Professor > Associate Professor | 3 | 10% |
| Lecturer | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 8 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 8 | 26% |
| Agricultural and Biological Sciences | 4 | 13% |
| Computer Science | 3 | 10% |
| Earth and Planetary Sciences | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 9 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 December 2017.
All research outputs
#19,382,126
of 23,854,458 outputs
Outputs from Environmental Monitoring and Assessment
#1,865
of 2,748 outputs
Outputs of similar age
#246,621
of 318,644 outputs
Outputs of similar age from Environmental Monitoring and Assessment
#28
of 49 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,748 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,644 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.