REMOTE SENSING EVALUATION OF ECOLOGICAL ENVIRONMENT OF ANQING CITY BASED ON REMOTE SENSING ECOLOGICAL INDEX

Abstract. Figuring out the regional ecological environment quality and ecological change is critical for ecological environment monitoring and management and urban construction planning. Based on the remote sensing ecological index (RESI), we evaluate the ecological quality and ecological change from 1999 to 2019 of Anqing city. Multi-temporal Landsat images are used to extract the four indicators of humidity, vegetation, heat and dryness, respectively. Then the RSEI is calculated by principal component analysis. The results show that the ecological quality of Anqing city declined from 1999 to 2019 and then grew slowly from 2009 to 2019. The eco-environmental quality of Anqing city dropped slightly from 1999 to 2019, and the regions with worse quality grades exceeded those becoming better. Particularly, we find that from 1999 to 2009, the area where the ecological quality became better made up 18.31% of the urban area, while the worse ecological area accounted for 29.68% of the urban area; from 2009 to 2019, the area of improved ecological environment reached 24.35%, while the area of degraded quality constituted 41.36%. Land-use changes dominated eco-environmental quality. The areas of poor eco-environmental quality expanded in residential regions and eco-environmental quality of mountainous area improved since returning cultivated land in steep hills into forest. The RSEI results are expected to provide a quantitative foundation for planning sustainable development and the rational use of resources in Anqing city.

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Research on Temporal and Spatial Resolution and the Driving Forces of Ecological Environment Quality in Coal Mining Areas Considering Topographic Correction

Remote Sensing ◽

10.3390/rs13142815 ◽

2021 ◽

Vol 13 (14) ◽

pp. 2815

Author(s):

Xinran Nie ◽

Zhenqi Hu ◽

Qi Zhu ◽

Mengying Ruan

Keyword(s):

Remote Sensing ◽

Coal Mining ◽

Coal Mine ◽

Ecological Environment ◽

Topographic Correction ◽

Ecological Index ◽

Mining Areas ◽

Environment Quality ◽

Temporal And Spatial

Over the last few years, under the combined effects of climate change and human factors, the ecological environment of coal mining areas has undergone tremendous changes. Therefore, the rapid and accurate quantitative assessments of the temporal and spatial evolution of the ecological environment quality is of great significance for the ecological restoration and development planning of coal mining areas. This study applied the ecological environment index after topographic correction to improve the remote sensing ecological index (RSEI). Based on a series of Landsat images, the ecological environment quality of Yangquan Coal Mine in Shanxi Province from 1987 to 2020 was monitored and evaluated by an improved remote sensing ecological index. The results show that after topographic correction, the topographic effect of the remote sensing ecological index was greatly reduced, and its practicability was improved. From 1987 to 2020, the ecological environment quality of Yangquan Coal Mine was improved, and the mean of the RSEI increased from 0.4294 to 0.6379. The ecological environment quality of the six coal mines in the study area was improved. Among the six coal gangue dumps, the ecological environmental quality of D1, D2, D3, and D4 has improved, and the ecological environment quality of D5 and D6 worsened. The percentages of improved, unchanged, and degraded ecological environment quality in the entire coal mining area were 77.08%, 0.99%, and 21.93%, respectively. The global Moran’s index was between 0.7929 and 0.9057, and it was shown that there was a strong positive correlation between the ecological environmental qualities of the study area, and that its spatial distribution was clustered rather than random. The LISA cluster map showed that the aggregation and dispersion degree of ecological environment quality was mainly high–high clustering and low–low clustering over the whole stage. During the study period, temperature and precipitation had limited impacts on the ecological environment quality of Yangquan Coal Mine, while the coal mining activities and urbanization construction seriously affected the local ecological environment quality and the implementation of ecological restoration policies, regulations, and measures was the main reason for the improvement of the ecological environment quality.

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Evaluation of the Spatiotemporal Variations in the Eco-environmental Quality in China Based on the Remote Sensing Ecological Index

Remote Sensing ◽

10.3390/rs12152462 ◽

2020 ◽

Vol 12 (15) ◽

pp. 2462

Author(s):

Weihua Liao ◽

Weiguo Jiang

Keyword(s):

Remote Sensing ◽

Environmental Quality ◽

Eastern China ◽

Continuous Process ◽

Western China ◽

Environmental Damage ◽

Ecological Index ◽

Computing Platform ◽

The Status

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.

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CONSTRUCTION AND APPLICATION OF ENHANCED REMOTE SENSING ECOLOGICAL INDEX

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-1809-2018 ◽

2018 ◽

Vol XLII-3 ◽

pp. 1809-1813

Author(s):

X. Wang ◽

C. Liu ◽

Q. Fu ◽

B. Yin

Keyword(s):

Remote Sensing ◽

Natural Disasters ◽

Vegetation Index ◽

Principal Component ◽

Hainan Island ◽

Weight Coefficient ◽

Ecological Environment ◽

Ecological Index ◽

Environment Quality

In order to monitor the change of regional ecological environment quality, this paper use MODIS and DMSP / OLS remote sensing data, from the production capacity, external disturbance changes and human socio-economic development of the three main factors affecting the quality of ecosystems, select the net primary productivity, vegetation index and light index, using the principal component analysis method to automatically determine the weight coefficient, construction of the formation of enhanced remote sensing ecological index, and the ecological environment quality of Hainan Island from 2001 to 2013 was monitored and analyzed. The enhanced remote sensing ecological index combines the effects of the natural environment and human activities on ecosystems, and according to the contribution of each principal component automatically determine the weight coefficient, avoid the design of the weight of the parameters caused by the calculation of the human error, which provides a new method for the operational operation of regional macro ecological environment quality monitoring. During the period from 2001 to 2013, the ecological environment quality of Hainan Island showed the characteristics of decend first and then rise, the ecological environment in 2005 was affected by severe natural disasters, and the quality of ecological environment dropped sharply. Compared with 2001, in 2013 about 20000 square kilometers regional ecological environmental quality has improved, about 8760 square kilometers regional ecological environment quality is relatively stable, about 5272 square kilometers regional ecological environment quality has decreased. On the whole, the quality of ecological environment in the study area is good, the frequent occurrence of natural disasters, on the quality of the ecological environment to a certain extent.

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Spatiotemporal evolution of ecological environment quality in arid areas based on the remote sensing ecological distance index: A case study of Yuyang district in Yulin city, China

Open Geosciences ◽

10.1515/geo-2020-0328 ◽

2021 ◽

Vol 13 (1) ◽

pp. 1701-1710

Author(s):

Liangyan Yang ◽

Lei Shi ◽

Jing Wei ◽

Yating Wang

Keyword(s):

Remote Sensing ◽

Urban Area ◽

Northwest China ◽

Ecological Environment ◽

Arid Areas ◽

Upward Trend ◽

Ecological Index ◽

Environment Quality ◽

Grade Classification ◽

Surrounding Areas

Abstract The ecological environment in arid areas of Northwest China has undergone considerable changes under the combined effects of climate change and human factors. Therefore, exploring the spatial and temporal evolution of the ecological environment quality is of great significance for the protection and management of the ecological environment in arid areas of Northwest China. This study adopted Yuyang district as the study area. Landsat Thematic Mapper/Operational Land Imager images from 1993 to 2018 were selected as the data source for the retrieval of important surface indicators and the construction of the remote sensing distance ecological index. The spatial distribution, trend, and grade classification of the ecological environment quality were monitored and analyzed. The results showed that (1) the ecological environment quality of Yuyang district from 1993 to 2018 showed an overall upward trend, mainly manifested as a sharp decline in the area of poor ecological environment from 84.81 to 53.36%. (2) The spatiotemporal changes in the ecological environment quality showed a downward trend in the central urban area and an upward trend in the noncentral urban area. (3) In general, rainfall and temperature had limited impact on the ecological environment quality. Urbanization seriously affected the local ecological environment quality and the implementation of the ecological restoration policies, regulations, and measures were the main drivers of the improvement to the ecological environment quality in other surrounding areas.

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Evaluation of the Temporal and Spatial Changes of Ecological Quality in the Hami Oasis Based on RSEI

Sustainability ◽

10.3390/su12187716 ◽

2020 ◽

Vol 12 (18) ◽

pp. 7716

Author(s):

Pengwen Gao ◽

Alimujiang Kasimu ◽

Yongyu Zhao ◽

Bing Lin ◽

Jinpeng Chai ◽

...

Keyword(s):

Remote Sensing ◽

Explanatory Power ◽

Ecological Status ◽

Quality Level ◽

Ecological Quality ◽

P Values ◽

Ecological Index ◽

Poor Grade ◽

Window Method

Given the restrictions on special geographic locations in development processes, the measurement and analysis of the ecological quality of the Hami Oasis are of great significance for the protection of this fragile oasis. In this study, the ecological quality of the Hami Oasis was monitored by constructing a remote sensing ecological index (RSEI) for arid areas. Using the standard deviation ellipse and moving window method, the ecological status and space–time changes were explored for both their external and internal factors in the Hami Oasis. Finally, a geo-detector was employed to determine the driving factors of the ecological quality of the Hami Oasis. The results revealed that: (1) In the remote sensing ecological index constructed in the Hami Oasis, the main influencing factors were dryness and wetness. The average value of the ecological quality of the oasis was less than 0.5, and the ecological quality level was relatively poor. Among the five grades of ecological quality in the Hami Oasis, the poor grade and the good grade showed the largest changes, decreasing by 200 and increasing by 300, respectively, which were mainly concentrated in the periphery of the oasis. (2) The improved ecological quality of the Hami Oasis was mainly manifested in the expansion of the artificial oasis, while the deteriorated area was manifested as an increase in the built-up area. Moreover, the ecological quality of the Hami Oasis presented a ringlike nesting distribution pattern from the internal built-up area to the artificial oasis periphery. (3) The external expansion direction of the ecological quality of the Hami Oasis featured southeast–northwest expansion, which was consistent with the direction of the rivers and traffic roads. The transformation between different ecological qualities in the oasis and the expansion of the built-up area were the reasons for the fragmentation of the Hami Oasis’ landscape. (4) Compared to a single factor, the dual-factor for the ecological quality of the Hami Oasis had stronger explanatory power. Moreover, changes in land use types caused changes in the ecological quality of the Hami Oasis. During the study period, we found that human activities had a more significant impact than natural factors on the development of the Hami Oasis. (5) The Moran’s I Index increased from 0.835268 in 2000 to 0.923976 in 2018, and the p values in the study area all reached a 0.05 significant level. At the same time, the areas with p values above the 0.01 and 0.001 significant levels have also increased significantly in the past 18 years.

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Ecological Change Analysis of Lanzhou City Based on Remote Sensing Ecological Index

Abstracts of the ICA ◽

10.5194/ica-abs-1-131-2019 ◽

2019 ◽

Vol 1 ◽

pp. 1-2

Author(s):

Yuhan Huang ◽

Haowen Yan

Keyword(s):

Remote Sensing ◽

Urban Areas ◽

Yellow River ◽

Gansu Province ◽

Ecological Environment ◽

Ecological Change ◽

Change Analysis ◽

Ecological Index ◽

Lanzhou City ◽

The City

<p><strong>Abstract.</strong> Lanzhou City is the capital of Gansu Province and located in the semi-arid of northwest China. The Yellow River passing through the inner city from west to east, which has formed a special ecological environment. In recent years, the economic level of Lanzhou City has continued to develop, and the degree of urbanization has been continuously improved, which has had a certain impact on the ecological environment of the city. This paper used the Remote Sensing Ecology Index (RSEI) model (Xu, H.Q.,2013) to assess the ecological changes of the four major urban areas Chengguan District, Qilihe District, Anning District and Xigu District of Lanzhou from 2013 to 2017, and evaluate the current ecological environment of the city to provide a basis for the sustainable development of the city.</p>

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Forest ecological monitoring of the Shiyang River basin based on Google Earth Engine

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/932/1/012011 ◽

2021 ◽

Vol 932 (1) ◽

pp. 012011

Author(s):

Y Wang

Keyword(s):

River Basin ◽

Terrestrial Ecosystems ◽

Google Earth ◽

Ecological Environment ◽

Ecological Quality ◽

Natural Forests ◽

Shiyang River Basin ◽

Natural Factors ◽

Google Earth Engine

Abstract The Shiyang River basin is a typical inland arid region and one of the most fragile and sensitive areas of terrestrial ecosystems in China, and it is important to understand its ecological changes in a timely and accurate manner. This article selects the Shiyang River basin forest as the research area and uses Google Earth Engine (GEE) to evaluate and monitor the ecological environment quality of the Shiyang River basin from 1990 to 2020. The geographical detector model (GDM) was also used to analyse the sensitivity of the forest ecological environment to three natural factors: elevation, temperature and altitude. The results showed that the ecological quality of the natural forest is significantly better than that of the man-made forest area, and the ecological quality grade is higher. The forest change area RSEI has a large annual variation in ecological quality and is vulnerable to external factors. Among the influencing natural factors, the sensitive factors of precipitation and altitude are both greater than 84%. The temperature sensitivity of natural forests is stronger than that of man-made forests, ranging from 66% to 92% overall.

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Study on the quality improvement on black land in Northeast China under the environment of sustainable agricultural development

Kybernetes ◽

10.1108/k-07-2021-0608 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Yun Teng ◽

Boyuan Pang ◽

Xiangyu Guo

Keyword(s):

Soil Quality ◽

Environmental Quality ◽

Northeast China ◽

Agricultural Development ◽

Ecological Quality ◽

Content Type ◽

Management Quality ◽

Black Land

PurposeThe authors are committed to providing the Chinese government with a foundation for making decisions that will protect black land and ensure long-term agricultural development.Design/methodology/approachUsing the grounded theory approach, this study investigates the influencing factors affecting the quality of black land in Northeast China and proposes a hypothetical model for the mechanism of the influencing factors on the quality of black land in Northeast China.FindingsThe factors influencing the quality of black land include not only soil quality, ecological quality and environmental quality, but also economic quality and management quality, and can be classified into five categories. There are complex influence relationships between various factors and black land quality, with soil quality, ecological quality, environmental quality and management quality having a positive influence on economic quality. Soil quality, ecological quality and environmental quality are all improved as a result of good management. Black land quality is influenced positively by environmental quality, economic quality and management quality.Research limitations/implicationsThe quality of black land is a major concern in terms of food production and long-term agricultural development. The black land in Northeast China was chosen as the subject of this study, and the research findings have some limitations. The next step will be to expand from studying the black land in Northeast China to the black land worldwide.Originality/valueIn Northeast China, the quality of the five dimensions of black land must be improved in a coordinated and consistent manner.

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