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Ecological Suitability Evaluation and Planting Division of Potato in County Based on GIS——A Case Study of Shangnan County of Shaanxi Province
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作者 Yuan Yuan Song Wen-chao +2 位作者 Kang Xiao-fu Guo Yi-chun Chang Qing-rui 《Journal of Northeast Agricultural University(English Edition)》 CAS 2020年第3期87-96,共10页
Potato is one of the important food crops in Shangnan County,Shaanxi Province.Potato planting strategy in this region has great significance for potato planting,according to local conditions and for optimizing regiona... Potato is one of the important food crops in Shangnan County,Shaanxi Province.Potato planting strategy in this region has great significance for potato planting,according to local conditions and for optimizing regional layout.The ecological suitability of potato cultivation in Shangnan County was evaluated by using geographic information system(GIS)technology,county cultivated land resource management information system and analytic hierarchy process(AHP).The evaluation index system of ecological suitability of potatoes in Shangnan County was established by screening the evaluation index of each ecological factor with expert experience method.The AHP and fuzzy evaluation method were applied to the quantitative calculation of the weight of each index.The ecological suitability assessment map of potato planting in Shangnan County was obtained by using the overlay analysis function of ArcGIS 10.2.The results showed that highly suitable area for potato cultivation was 6974.04 hm^2,accounting for 28.07%of the cultivated land.The suitable area was 11205.75 hm^2,accounting for 45.10%of the cultivated land area.These two types of arable land mainly distributed in the shallow hilly area,the middle mountain landform and the river valley area.The remaining arable land in this region mainly distributed in the shallow hills and the mid-mountain landscapes,including the arable land which was reluctantly suitable for potato cultivation and unsuitable for potato cultivation,with 5646.15 and 1022.33 hm^2,respectively,accounting for only 22.72%and 4.11%of the total arable land areas.Therefore,based on the statistics and analyses of potato planting environment in Shangnan County,the pattern of local ecological adaptability distribution was summarized and the spatial distribution map was drawn,thus providing scientific basis for rational distribution and planning of potato in Shangnan County. 展开更多
关键词 POTATO geographic information system ecological suitability planting division
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Statistical Downscaling Retrieval of Land Surface Temperature in an Area with Complex Landforms in the Eastern Qinling Mountains of China Based on Sentinel-2/3 Satellite Data
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作者 Yuan Yuan Zheng Wei +2 位作者 Zhao Shi-fa Meng Ming-xia Hu Juan 《Journal of Northeast Agricultural University(English Edition)》 CAS 2023年第3期60-68,共9页
The study of land surface temperature(LST)is of great significance for ecosystem monitoring and ecological environmental protection in the Qinling Mountains of China.In view of the contradicting spatial and temporal r... The study of land surface temperature(LST)is of great significance for ecosystem monitoring and ecological environmental protection in the Qinling Mountains of China.In view of the contradicting spatial and temporal resolutions in extracting LST from satellite remote sensing(RS)data,the areas with complex landforms of the Eastern Qinling Mountains were selected as the research targets to establish the correlation between the normalized difference vegetation index(NDVI)and LST.Detailed information on the surface features and temporal changes in the land surface was provided by Sentinel-2 and Sentinel-3,respectively.Based on the statistically downscaling method,the spatial scale could be decreased from 1000 m to 10 m,and LST with a Sentinel-3 temporal resolution and a 10 m spatial resolution could be retrieved.Comparing the 1 km resolution Sentinel-3 LST with the downscaling results,the 10 m LST downscaling data could accurately reflect the spatial distribution of the thermal characteristics of the original LST image.Moreover,the surface temperature data with a 10 m high spatial resolution had clear texture and obvious geomorphic features that could depict the detailed information of the ground features.The results showed that the average error was 5 K on April 16,2019 and 2.6 K on July 15,2019.The smaller error values indicated the higher vegetation coverage of summer downscaling result with the highest level on July 15. 展开更多
关键词 Eastern Qinling Mountains Sentinel-2/3 land surface temperature statistical downscaling
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