Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification
The extensive use of greenhouses has brought soared economic benefits for farming practitioners in China and an overview of the spatio-temporal distribution of greenhouses is of great interest to agricultural practitioners and decision-makers. In this study, Landsat image based greenhouse maps in Gu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2021.2023667 |
| _version_ | 1797678476824674304 |
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| author | Caihong Gao Qifan Wu Miles Dyck Jialong Lv Hailong He |
| author_facet | Caihong Gao Qifan Wu Miles Dyck Jialong Lv Hailong He |
| author_sort | Caihong Gao |
| collection | DOAJ |
| description | The extensive use of greenhouses has brought soared economic benefits for farming practitioners in China and an overview of the spatio-temporal distribution of greenhouses is of great interest to agricultural practitioners and decision-makers. In this study, Landsat image based greenhouse maps in Guanzhong Plain, Shaanxi, China were made using random forest classification algorithm through visual interpretation on the Google Earth Engine. The 7-year's changes in greenhouse areas were investigated (i.e. 2000, 2003, 2006, 2010, 2013, 2015 and 2019) with yearly overall accuracy more than 90%. The results showed that the total area of greenhouses in Guanzhong Plain demonstrated an increasing trend, from 5.92 km2 in 2000 to 194.42 km2 in 2019 with a considerable growth between 2010 and 2015. The dominant drivers for the increase are largely attributed to the government policy as well as economic profitability. The distribution of greenhouse shifts to central and eastern regions of Guanzhong Plain. Greenhouses preferentially expand to the area near to rural roads, main rivers, and high elevation, with more than 45% greenhouses distributed within 1 km of the county rural road. The principal component analysis based suitability evaluation showed that a total of 38.44% of the area was suitable for greenhouse. |
| first_indexed | 2024-03-11T23:00:19Z |
| format | Article |
| id | doaj.art-35d380e9c96b4ada94dfa382c29d7805 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:00:19Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-35d380e9c96b4ada94dfa382c29d78052023-09-21T14:57:10ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552022-12-0115122624810.1080/17538947.2021.20236672023667Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classificationCaihong Gao0Qifan Wu1Miles Dyck2Jialong Lv3Hailong He4Northwest A&F UniversityNorth China University of Water Resources and Electric PowerUniversity of AlbertaNorthwest A&F UniversityNorthwest A&F UniversityThe extensive use of greenhouses has brought soared economic benefits for farming practitioners in China and an overview of the spatio-temporal distribution of greenhouses is of great interest to agricultural practitioners and decision-makers. In this study, Landsat image based greenhouse maps in Guanzhong Plain, Shaanxi, China were made using random forest classification algorithm through visual interpretation on the Google Earth Engine. The 7-year's changes in greenhouse areas were investigated (i.e. 2000, 2003, 2006, 2010, 2013, 2015 and 2019) with yearly overall accuracy more than 90%. The results showed that the total area of greenhouses in Guanzhong Plain demonstrated an increasing trend, from 5.92 km2 in 2000 to 194.42 km2 in 2019 with a considerable growth between 2010 and 2015. The dominant drivers for the increase are largely attributed to the government policy as well as economic profitability. The distribution of greenhouse shifts to central and eastern regions of Guanzhong Plain. Greenhouses preferentially expand to the area near to rural roads, main rivers, and high elevation, with more than 45% greenhouses distributed within 1 km of the county rural road. The principal component analysis based suitability evaluation showed that a total of 38.44% of the area was suitable for greenhouse.http://dx.doi.org/10.1080/17538947.2021.2023667greenhouse detectionlandsat imageryguanzhong plainrandom forest algorithmgoogle earth engine |
| spellingShingle | Caihong Gao Qifan Wu Miles Dyck Jialong Lv Hailong He Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification International Journal of Digital Earth greenhouse detection landsat imagery guanzhong plain random forest algorithm google earth engine |
| title | Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification |
| title_full | Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification |
| title_fullStr | Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification |
| title_full_unstemmed | Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification |
| title_short | Greenhouse area detection in Guanzhong Plain, Shaanxi, China: spatio-temporal change and suitability classification |
| title_sort | greenhouse area detection in guanzhong plain shaanxi china spatio temporal change and suitability classification |
| topic | greenhouse detection landsat imagery guanzhong plain random forest algorithm google earth engine |
| url | http://dx.doi.org/10.1080/17538947.2021.2023667 |
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