<p>This data is the 2019 Aral Sea vegetation survey dataset. Including: vegetation photos, vegetation questionnaires. The vegetation questionnaire includes sample point number, sample number, sample size, navigation point, geographical location information, species name, population number, long axis, short axis, height, crown width, coverage and total coverage. There were 40 vegetation photos at 22 sampling points, mainly close-up plant and long-term landscape photos, reflecting the vegetation coverage around the Aral Sea. </p>
| collect time | 2019/01/01 - 2019/12/31 |
|---|---|
| collect place | Aral Sea |
| data size | 118.7 MiB |
| data format | .jpg format and.xlsx format |
| Coordinate system | |
| Projection | no |
2019 Aral Sea field survey data.
First, during the field investigation stage, according to the preset sample point layout plan, GPS is used to locate the sample point locations, record the sample point numbers and waypoint information, and set a standard size sample square within each sample point (such as 3m×3m, 10m×10m or 20m×20m), record the plot number and plot size in detail; within the plot, identify and record the species names one by one, measure the population number, plant long axis, short axis, height and crown width, calculate the coverage and total coverage to ensure the accuracy and integrity of data collection; At the same time, take close-up vegetation and long-term landscape photos to record the vegetation coverage and the environmental characteristics of the plot. After the field investigation, all paper record data will be organized uniformly, and the sample point numbers, sample square numbers and measurement data will be checked to ensure that there are no omissions or errors; the species names will be compared with the standard plant list to ensure accurate naming; The measurement data will be entered into spreadsheets for standardization, such as unifying units, filling in missing values and handling abnormal values; the photos will be sorted out and named according to the sample point numbers and shooting content to facilitate subsequent analysis. Finally, the compiled data is matched with geographical location information to generate a complete vegetation survey data set, and backup it and save it to ensure data security and traceability. The entire processing process is rigorous and standardized, ensuring the accuracy and availability of data and providing a reliable basis for subsequent analysis and research.
The data collection process is standardized, the information is complete and without missing, the sample size and measurement indicators meet the standards, the species name is accurate, and the measurement data such as population number, long axis, short axis, height and crown width have been checked many times to ensure reliable accuracy; The photo shooting angle and light conditions are suitable, which can visually display the vegetation characteristics and verify each other with the questionnaire data; All data has been uniformly organized and standardized. The sample point numbers and waypoint information correspond one-to-one to geographical location information. The data format is standardized to facilitate subsequent analysis and application. Overall, this dataset is of reliable quality and comprehensive information, which can provide scientific basis for research on vegetation around the Aral Sea.
| # | number | name | type |
| 1 | XDA20000000 | Other |
This work is licensed under a
Creative
Commons Attribution 4.0 International License.
| # | title | file size |
|---|---|---|
| 1 | 南咸海植被调查2019.xlsx | 93.3 KiB |
| 2 | 植被调查照片.rar | 118.6 MiB |
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