The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth Engine
As a region susceptible to the impacts of climate change, evaluating the temporal and spatial variations in ecological environment quality (EEQ) and potential influencing factors is crucial for ensuring the ecological security of the Tibetan Plateau. This study utilized the Google Earth Engine (GEE)...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/4/682 |
| _version_ | 1797297088981106688 |
|---|---|
| author | Muhadaisi Airiken Shuangcheng Li |
| author_facet | Muhadaisi Airiken Shuangcheng Li |
| author_sort | Muhadaisi Airiken |
| collection | DOAJ |
| description | As a region susceptible to the impacts of climate change, evaluating the temporal and spatial variations in ecological environment quality (EEQ) and potential influencing factors is crucial for ensuring the ecological security of the Tibetan Plateau. This study utilized the Google Earth Engine (GEE) platform to construct a Remote Sensing-based Ecological Index (RSEI) and examined the temporal and spatial dynamics of the Tibetan Plateau’s EEQ from 2000 to 2022. The findings revealed that the RSEI of the Tibetan Plateau predominantly exhibited a slight degradation trend from 2000 to 2022, with a multi-year average of 0.404. Utilizing SHAP (Shapley Additive Explanation) to interpret XGBoost (eXtreme Gradient Boosting), the study identified that natural factors as the primary influencers on the RSEI of the Tibetan Plateau, with temperature, soil moisture, and precipitation variables exhibiting higher SHAP values, indicating their substantial contributions. The interaction between temperature and precipitation showed a positive effect on RSEI, with the SHAP interaction value increasing with rising precipitation. The methodology and results of this study could provide insights for a comprehensive understanding and monitoring of the dynamic evolution of EEQ on the Tibetan Plateau amidst the context of climate change. |
| first_indexed | 2024-03-07T22:16:13Z |
| format | Article |
| id | doaj.art-ad4dd7860bdf4b79a4cb01b674b4eed0 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-07T22:16:13Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ad4dd7860bdf4b79a4cb01b674b4eed02024-02-23T15:33:05ZengMDPI AGRemote Sensing2072-42922024-02-0116468210.3390/rs16040682The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth EngineMuhadaisi Airiken0Shuangcheng Li1College of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaCollege of Urban and Environmental Sciences, Peking University, Beijing 100871, ChinaAs a region susceptible to the impacts of climate change, evaluating the temporal and spatial variations in ecological environment quality (EEQ) and potential influencing factors is crucial for ensuring the ecological security of the Tibetan Plateau. This study utilized the Google Earth Engine (GEE) platform to construct a Remote Sensing-based Ecological Index (RSEI) and examined the temporal and spatial dynamics of the Tibetan Plateau’s EEQ from 2000 to 2022. The findings revealed that the RSEI of the Tibetan Plateau predominantly exhibited a slight degradation trend from 2000 to 2022, with a multi-year average of 0.404. Utilizing SHAP (Shapley Additive Explanation) to interpret XGBoost (eXtreme Gradient Boosting), the study identified that natural factors as the primary influencers on the RSEI of the Tibetan Plateau, with temperature, soil moisture, and precipitation variables exhibiting higher SHAP values, indicating their substantial contributions. The interaction between temperature and precipitation showed a positive effect on RSEI, with the SHAP interaction value increasing with rising precipitation. The methodology and results of this study could provide insights for a comprehensive understanding and monitoring of the dynamic evolution of EEQ on the Tibetan Plateau amidst the context of climate change.https://www.mdpi.com/2072-4292/16/4/682Google Earth EngineRemote Sensing-based Ecological IndexSHAPclimate change |
| spellingShingle | Muhadaisi Airiken Shuangcheng Li The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth Engine Remote Sensing Google Earth Engine Remote Sensing-based Ecological Index SHAP climate change |
| title | The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth Engine |
| title_full | The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth Engine |
| title_fullStr | The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth Engine |
| title_full_unstemmed | The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth Engine |
| title_short | The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth Engine |
| title_sort | dynamic monitoring and driving forces analysis of ecological environment quality in the tibetan plateau based on the google earth engine |
| topic | Google Earth Engine Remote Sensing-based Ecological Index SHAP climate change |
| url | https://www.mdpi.com/2072-4292/16/4/682 |
| work_keys_str_mv | AT muhadaisiairiken thedynamicmonitoringanddrivingforcesanalysisofecologicalenvironmentqualityinthetibetanplateaubasedonthegoogleearthengine AT shuangchengli thedynamicmonitoringanddrivingforcesanalysisofecologicalenvironmentqualityinthetibetanplateaubasedonthegoogleearthengine AT muhadaisiairiken dynamicmonitoringanddrivingforcesanalysisofecologicalenvironmentqualityinthetibetanplateaubasedonthegoogleearthengine AT shuangchengli dynamicmonitoringanddrivingforcesanalysisofecologicalenvironmentqualityinthetibetanplateaubasedonthegoogleearthengine |