Journal of Resources and Ecology ›› 2021, Vol. 12 ›› Issue (6): 729-742.DOI: 10.5814/j.issn.1674-764x.2021.06.002
• Ecosystem Assessment in Altay Region • Previous Articles Next Articles
HE Yuchuan1(), XIONG Junnan1, CHENG Weiming4,5,6,7, YE Chongchong1, HE Wen1, YONG Zhiwei1, TIAN Jie1
Received:
2021-04-01
Accepted:
2021-05-30
Online:
2021-11-30
Published:
2022-01-30
About author:
HE Yuchuan, E-mail: hyccyh897@163.com
Supported by:
HE Yuchuan, XIONG Junnan, CHENG Weiming, YE Chongchong, HE Wen, YONG Zhiwei, TIAN Jie. Spatiotemporal Pattern and Driving Force Analysis of Vegetation Variation in Altay Prefecture based on Google Earth Engine[J]. Journal of Resources and Ecology, 2021, 12(6): 729-742.
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URL: http://www.jorae.cn/EN/10.5814/j.issn.1674-764x.2021.06.002
Fig. 3 Spatial distribution of NDVI in Altay Prefecture Note:The bottom left in Fig. 3b is the F test result (P<0.05); The statistical graphs in the upper right corner of Fig. 3 are the percentage of each data level in the legend on the right in the entire area.
NDVI | Vegetation cover classification | Area (km2) | Proportion (%) |
---|---|---|---|
NDVI<0.2 | Low coverage | 64716 | 56.1 |
0.2≤NDVI<0.4 | Medium and low coverage | 14253 | 12.4 |
0.4≤NDVI<0.6 | Medium coverage | 8363 | 7.2 |
0.6≤NDVI<0.8 | Medium and high coverage | 7833 | 6.8 |
0.8≤NDVI | High coverage | 20146 | 17.5 |
Table 1 Vegetation cover classification of Altay Prefecture
NDVI | Vegetation cover classification | Area (km2) | Proportion (%) |
---|---|---|---|
NDVI<0.2 | Low coverage | 64716 | 56.1 |
0.2≤NDVI<0.4 | Medium and low coverage | 14253 | 12.4 |
0.4≤NDVI<0.6 | Medium coverage | 8363 | 7.2 |
0.6≤NDVI<0.8 | Medium and high coverage | 7833 | 6.8 |
0.8≤NDVI | High coverage | 20146 | 17.5 |
Slope | NDVI trend grading | Area (km2) | Proportion (%) |
---|---|---|---|
< -0.0100 | Serious degradation | 183 | 0.2 |
-0.0100 - -0.0050 | Moderate degradation | 451 | 0.4 |
-0.0050 - -0.0010 | Slight degradation | 5084 | 4.3 |
-0.0010 - 0.0010 | Essentially unchanged | 52531 | 44.8 |
0.0010 - 0.0050 | Slight restoration | 51090 | 43.6 |
0.0050 - 0.0100 | Moderate restoration | 4279 | 3.6 |
> 0.0100 | Obvious restoration | 3586 | 3.1 |
Table 2 NDVI trend grading table
Slope | NDVI trend grading | Area (km2) | Proportion (%) |
---|---|---|---|
< -0.0100 | Serious degradation | 183 | 0.2 |
-0.0100 - -0.0050 | Moderate degradation | 451 | 0.4 |
-0.0050 - -0.0010 | Slight degradation | 5084 | 4.3 |
-0.0010 - 0.0010 | Essentially unchanged | 52531 | 44.8 |
0.0010 - 0.0050 | Slight restoration | 51090 | 43.6 |
0.0050 - 0.0100 | Moderate restoration | 4279 | 3.6 |
> 0.0100 | Obvious restoration | 3586 | 3.1 |
Fig. 5 The variation trends of meteorological factors. A, B and C respectively represent air temperature, precipitation and sunshine hours; 1, 2, 3 and 4 respectively represent the multi-year mean, temporal trend, broken line chart of average trend and histogram at the pixel scale of the change rates.
Fig. 6 Spatial distribution diagrams of correlation coefficients between NDVI and meteorological factors of temperature (a), precipitation (b), and sunlight hours (c). Note: The inset maps in the bottom left corner of each show the t test results for each factor (P<0.05) and the statistical graphs in the upper right corner of Fig. 4 are the percentage of each data level in the legend on the right in the entire area.
Fig. 7 Spatial distribution diagrams of significantly correlated r values between NDVI and temperature (T, red), precipitation (P, green) and sunlight hours (S, blue).
Fig. 10 The evaluation chart of significant changes led by human factors. A and C indicate areas where cultivated land has increased, B indicates artificial reservoir areas, 1, 2 and 3 respectively represent NDVI distribution in 2000, NDVI distribution in 2019, and the numbers of pixels with different NDVI values.
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