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作 者:桑一铭 卢亚晗 王学[1] 辛良杰[1] Sang,Y.M.;Lu,Y.H.;Wang,X.;Xin,L.J.(Key Laboratory of Land Surface Pattern and Simulation,Institute of Geographic Sciences and Resources Research,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]中国科学院地理科学与资源研究所陆地表层格局与模拟重点实验室,北京100101 [2]中国科学院大学,北京100049
出 处:《全球变化数据学报(中英文)》2022年第4期619-630,V0619-V0630,共24页Journal of Global Change Data & Discovery
基 金:中华人民共和国科学技术部(2019QZKK0603)。
摘 要:本文基于2020年Google Earth 2-m的高空间分辨率遥感影像,通过目视解译构建了青藏高原“一江两河”地区耕地分布数据集YLN-F2020,并运用地统计学分析方法揭示了其空间分布格局。结果表明:(1)YLN-F2020产品耕地总面积为2,356.15 km^(2),总体精度95.2%,与GLC2020和LandUse2018产品对比发现目前公开的青藏高原数据产品耕地的空间分布仍存在较大的不确定性,难以满足研究需求。(2)“一江两河”地区耕地主要沿河流分布,在空间上呈现东多西少、南多北少的分布特征;耕地在区域上存在明显聚集性,主要集中分布在西南密度聚集区和东部密度聚集区,且存在明显的空间正相关。该数据集可以有效解决青藏高原“一江两河”地区耕地数据分辨率不足或数据缺失的问题,为合理利用耕地与制定耕地保护政策提供参考。A dataset of high spatial resolution farmland distribution can accurately reflect the spatial distribution of farmland,which is very important for understanding the decision-making of farmland resource utilization and guaranteeing national food security and sustainable development of the economy and society.Based on the 2-m Google Earth remote sensing image in 2020,this study interprets and constructs the farmland distribution dataset YLN-F2020 in the Yarlung Zangbo-Lhasa-Nyangqu River(YLN)region of the Tibetan Plateau,using a geostatistical analysis method to reveal the spatial distribution pattern of farmland in the research area.The results showed that:(1)the total area of farmland of the YLN-F2020 product was 2,356.15 km^(2),and the overall accuracy was 95.2%.Compared with GLC2020 and LandUse2018,the accuracy of published farmland data of the Tibetan Plateau was found to be uncertain in terms of spatial distribution,which makes it difficult to meet research needs.(2)The farmland in this area was mainly distributed along rivers,with more farmland in the east than in the west,and more in the south than in the north.Farmland in the YLN region had obvious aggregation characteristics,and the spatial distribution was relatively concentrated in the southwest and east.There was a significant positive spatial correlation and spatial aggregation of farmland in the study area.This dataset can effectively solve the problem of insufficient resolution or missing farmland data of the YLN region of the Tibetan Plateau and provide a reference for rational farmland utilization and formulation of farmland protection policy.
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