Spatiotemporal characteristics of vegetation cover change in the Central Yunnan urban agglomeration from 2000 to 2020 based on Landsat data and its driving factors DOI Creative Commons
Rong Wang,

Xue Ding,

Bangjin Yi

et al.

Geocarto International, Journal Year: 2024, Volume and Issue: 39(1)

Published: Jan. 1, 2024

The study of dynamic changes in vegetation coverage has significant implications for urban clusters terms ecological environment protection, climate change research, water resource management and planning. A thorough understanding the driving mechanisms behind helps provide scientific basis policy recommendations sustainable development decision-making clusters. Taking central Yunnan cluster as an example, this utilizes long-term Landsat remote sensing image data from 2000 to 2020 on Google Earth Engine platform. fractional cover (FVC) is estimated using a pixel-based binary model. Sen's slope, Mann–Kendall trend analysis Hurst index methods are employed investigate spatiotemporal characteristics FVC. impacts human activities explored through partial correlation residual analysis. Finally, considering natural factors such topography climate, well socioeconomic factors, geographic detector used quantitatively analyze FVC changes. results indicate that: (1) From 2020, changed significantly, showing overall improvement trend. average 0.496 with growth rate 0.0024 per year, it exhibits distribution pattern higher values west lower east. (2) In percentage distribution, areas low high account relatively proportion. follows: (49.6%) > degradation (26.4%) no (24%). value 0.45, indicating that future area will be opposite past. (3) shows positive precipitation negative temperature. Human have impact area, accounting 55.1% regional (4) Slope nighttime light contribute most explanatory power interaction between slope precipitation/temperature significant.

Language: Английский

Human activities weaken the topographic regulation of vegetation dynamics in response to climate change in the Amur River Basin DOI Creative Commons

Bingbo Ni,

Shanfeng Xing,

Jinyuan Ren

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Spatiotemporal characteristics of vegetation cover change in the Central Yunnan urban agglomeration from 2000 to 2020 based on Landsat data and its driving factors DOI Creative Commons
Rong Wang,

Xue Ding,

Bangjin Yi

et al.

Geocarto International, Journal Year: 2024, Volume and Issue: 39(1)

Published: Jan. 1, 2024

The study of dynamic changes in vegetation coverage has significant implications for urban clusters terms ecological environment protection, climate change research, water resource management and planning. A thorough understanding the driving mechanisms behind helps provide scientific basis policy recommendations sustainable development decision-making clusters. Taking central Yunnan cluster as an example, this utilizes long-term Landsat remote sensing image data from 2000 to 2020 on Google Earth Engine platform. fractional cover (FVC) is estimated using a pixel-based binary model. Sen's slope, Mann–Kendall trend analysis Hurst index methods are employed investigate spatiotemporal characteristics FVC. impacts human activities explored through partial correlation residual analysis. Finally, considering natural factors such topography climate, well socioeconomic factors, geographic detector used quantitatively analyze FVC changes. results indicate that: (1) From 2020, changed significantly, showing overall improvement trend. average 0.496 with growth rate 0.0024 per year, it exhibits distribution pattern higher values west lower east. (2) In percentage distribution, areas low high account relatively proportion. follows: (49.6%) > degradation (26.4%) no (24%). value 0.45, indicating that future area will be opposite past. (3) shows positive precipitation negative temperature. Human have impact area, accounting 55.1% regional (4) Slope nighttime light contribute most explanatory power interaction between slope precipitation/temperature significant.

Language: Английский

Citations

2