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| Study on Remote Sensing Monitoring and Spatial Variationof Litchi Under Different Management Modes |
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| DOI：10.16768/j.issn.1004-874X.2022.08.018 |
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| Abstract: |
| 【Objective】Litchi, as an evergreen fruit tree, has become a landscaping tree due to lack of management.
It is of great significance to the spatial layout optimization and standardized management of litchi industry by accurately
understanding and mastering the spatial distribution and spatial variation trend of litchi planting areas.【Method】Taking
the litchi planting areas in Zengcheng District of Guangzhou City as an example, the remote sensing technology was used
to visually interpret the remote sensing images of 2015 and 2019, and the spatial variation characteristics of managed and
unmanaged litchi planting areas were judged.The gravity center migration model and fragmentation index were used to quantitatively analyze the temporal and spatial variations of litchi planting areas.【Result】The overall accuracy of remote
sensing interpretation is high, reaching 86.54 %. The planting areas of litchi in Zengcheng District are decreased by 67.69
hm2
, in which the planting areas of litchi with management are decreased by 127.28 hm2
and the planting areas of litchi without
management are increased by 59.59 hm2
. Totally, the center of gravity of litchi planting areas gradually moves away from
the town center, moving 45.14 m eastward and 107.01 m northward. Among them, the litchi planting areas with management
move northwestward, and the litchi planting areas without management move southwestward. The fragmentation index of litchi
planting areas increases from 0.0407 in 2015 to 0.0413 in 2019, and the spatial distribution shows a gradually dispersed
pattern. However, the fragmentation index of litchi planting areas with management decreases from 0.0244 to 0.0238, showing
a state of aggregation in space.【Conclusion】By using remote sensing technology, it can accurately and quickly identify the
spatial distribution and variation characteristics of litchi planting areas under different management modes, provide accurate
data support for inefficient orchard transformation and standardized orchard construction, and promote the prosperity of rural
industries. |
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