Abstract
The eco-environment is dynamic and shows a continuous process of long-term change. It is helpful for policymakers to know the status of the regional eco-environment through accurate evaluations of the history and current situation of the regional eco-environment. The remote sensing ecological index (RSEI) model of China was established in this study by using four indexes: wetness, greenness, dryness, and heat. Knowledge granulation of the RSEIs were carried out, and a method to determine the weights of the knowledge granulation entropy of the indexes based on their characteristics was proposed. This study used Moderate Resolution Image Spectroradiometer (MODIS) data from the Google Cloud Computing Platform to study and calculate the eco-environmental quality of China from 2000–2017. The overall eco-environmental quality in China tended to improve from 2000–2017, although there were large areas of ecological degradation from 2009–2014. The eco-environment of eastern China was better than that of western China. Most of the national ecological areas were third-level ecological areas, which had moderate environmental quality. Dryness was the most important factor affecting the quality of the eco-environment, followed by greenness, which reflected the increasing environmental damage caused by human activities in China in recent years.
Highlights
With the continuous enhancement of global change and human activities, the problems of the eco-environment seriously threaten regional ecological security and the sustainable development of the economy and society [1]
Our objectives were to: (1) use the Moderate Resolution Image Spectroradiometer (MODIS) data on the Google Earth Engine (GEE) platform to obtain the normalized difference vegetation index (NDVI), normalized difference water index (NDWI), land surface temperature (LST) and normalized difference bare soil-building index (NDBI) data to establish a remote sensing eco-environmental quality assessment model for China; (2) establish a method for determining remote sensing ecological index (RSEI) based on knowledge granulation entropy to improve the current weight evaluation method based on numerical value; and (3) explain the mechanism of long-term change of ecological environment in China
There was no significant difference in spatial distribution between the other three indexes, and the contribution of the NDBI to China’s RSEI was the largest
Summary
With the continuous enhancement of global change and human activities, the problems of the eco-environment seriously threaten regional ecological security and the sustainable development of the economy and society [1]. Strengthening protections for the eco-environment and containing the destruction of the eco-environment are very important for maintaining the security of the national eco-environment and ensuring the sustainable development of the national economy and society. It is very important to establish the ecological evaluation model and quantitative expression and put forward the technical standards and norms of ecological comprehensive evaluation on this basis [2]. The evaluation of eco-environmental quality is based on the multiple indexes of selection and uses the comprehensive evaluation method to quantify the quality of regional eco-environment [5]
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call