Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China
Observing vegetation normalized difference vegetation index (NDVI) changes, climate change characteristics, and their response relationship have a great significance to the ecosystem's regulation and improvement the human settlements. Based on GIMMS AVHRR NDVI and MODIS NDVI datasets as w...
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9517003/ |
| _version_ | 1828170659632513024 |
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| author | Chengpeng Lu Muchen Hou Zhiliang Liu Hengji Li Chenyu Lu |
| author_facet | Chengpeng Lu Muchen Hou Zhiliang Liu Hengji Li Chenyu Lu |
| author_sort | Chengpeng Lu |
| collection | DOAJ |
| description | Observing vegetation normalized difference vegetation index (NDVI) changes, climate change characteristics, and their response relationship have a great significance to the ecosystem's regulation and improvement the human settlements. Based on GIMMS AVHRR NDVI and MODIS NDVI datasets as well as temperature, precipitation, and sunshine duration data, this study used unitary linear trend analysis, correlation analysis, RS, and GIS data to analyze the spatiotemporal variation characteristics of vegetation NDVI in the middle and upper reaches of the Yellow River between 1989 and 2018. It also analyzed the spatiotemporal response between vegetation NDVI and climate factors (temperature, precipitation, and sunshine duration). The results showed that the vegetation NDVI in the study area had an increasing trend over the past 30 years, growing by 31.28%, and the NDVI change in 81.83% of the pixels was positive, the highest being 0.025. The temperature in the middle and upper reaches of the Yellow River showed an obvious upward trend, showing an overall distribution pattern of low temperature in the southwest and high temperature in the southeast. The precipitation showed a gentle upward trend and a spatial distribution pattern of a gradual decrease from southeast to northwest. The sunshine duration showed an obvious decreasing trend and a spatial distribution pattern of gradually increasing from southeast to northwest. In the past 30 years, the annual mean NDVI in the study area had a positive correlation with temperature and precipitation and a negative correlation with sunshine duration. |
| first_indexed | 2024-04-12T03:14:01Z |
| format | Article |
| id | doaj.art-347056ec259142f7902c3518e986e4bf |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-12T03:14:01Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-347056ec259142f7902c3518e986e4bf2022-12-22T03:50:13ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-01148484849610.1109/JSTARS.2021.31058979517003Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, ChinaChengpeng Lu0https://orcid.org/0000-0002-2035-2295Muchen Hou1Zhiliang Liu2Hengji Li3Chenyu Lu4Key Lab of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, ChinaInstitute of County Economic Development and Rural Revitalization Strategy, School of Economics, Lanzhou University, Lanzhou, ChinaInstitute of County Economic Development and Rural Revitalization Strategy, School of Economics, Lanzhou University, Lanzhou, ChinaLanzhou Information Center Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, ChinaCollege of Geography and Environment Sciences, Northwest Normal University, Lanzhou, ChinaObserving vegetation normalized difference vegetation index (NDVI) changes, climate change characteristics, and their response relationship have a great significance to the ecosystem's regulation and improvement the human settlements. Based on GIMMS AVHRR NDVI and MODIS NDVI datasets as well as temperature, precipitation, and sunshine duration data, this study used unitary linear trend analysis, correlation analysis, RS, and GIS data to analyze the spatiotemporal variation characteristics of vegetation NDVI in the middle and upper reaches of the Yellow River between 1989 and 2018. It also analyzed the spatiotemporal response between vegetation NDVI and climate factors (temperature, precipitation, and sunshine duration). The results showed that the vegetation NDVI in the study area had an increasing trend over the past 30 years, growing by 31.28%, and the NDVI change in 81.83% of the pixels was positive, the highest being 0.025. The temperature in the middle and upper reaches of the Yellow River showed an obvious upward trend, showing an overall distribution pattern of low temperature in the southwest and high temperature in the southeast. The precipitation showed a gentle upward trend and a spatial distribution pattern of a gradual decrease from southeast to northwest. The sunshine duration showed an obvious decreasing trend and a spatial distribution pattern of gradually increasing from southeast to northwest. In the past 30 years, the annual mean NDVI in the study area had a positive correlation with temperature and precipitation and a negative correlation with sunshine duration.https://ieeexplore.ieee.org/document/9517003/Climate factorhuman settlement environmentmiddle and upper reaches of the Yellow Rivernormalized difference vegetation index (NDVI)remote sensing |
| spellingShingle | Chengpeng Lu Muchen Hou Zhiliang Liu Hengji Li Chenyu Lu Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Climate factor human settlement environment middle and upper reaches of the Yellow River normalized difference vegetation index (NDVI) remote sensing |
| title | Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China |
| title_full | Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China |
| title_fullStr | Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China |
| title_full_unstemmed | Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China |
| title_short | Variation Characteristic of NDVI and its Response to Climate Change in the Middle and Upper Reaches of Yellow River Basin, China |
| title_sort | variation characteristic of ndvi and its response to climate change in the middle and upper reaches of yellow river basin china |
| topic | Climate factor human settlement environment middle and upper reaches of the Yellow River normalized difference vegetation index (NDVI) remote sensing |
| url | https://ieeexplore.ieee.org/document/9517003/ |
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