Landscape Architecture, Volume. 42, Issue 8, 121(2025)

Research on the Spatial Identification of Urban Park Green Space Habitats Based on UAV Multi-Source Remote Sensing Data

WU Dan1, WANG Ying2, and LE Ying3、*
Author Affiliations
  • 1Jingyao (Shanghai) Information Technology Co., Ltd., Shanghai, China, 200241
  • 2Shanghai Academy of Landscape Architecture Science and Planning, Key Laboratory of National Forestry and Grassland Administration on Ecological Landscaping of Challenging Urban Sites, Shanghai Engineering Research Center of Landscaping on Challenging Urban Sites, Shanghai, China, 200232
  • 3Shanghai Public Green Space Construction Affairs Center, Shanghai, China, 201199
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    [22] [22] [22]MANSOURMOGHADDAM M, ROUSTA I, GHAFARIAN MALAMIRI H R. Evaluation of the Classification Accuracy of NDVI Index in the Preparation of Land Cover Map[J]. Desert, 2022,27(02): 329-341.

    [25] [25] [25]GARCA-PARDO K A, MORENO-RANGEL D, DOMNGUEZ-AMARILLO S, et al. Urban Classification of the Built-up and Seasonal Variations in Vegetation: A Framework Integrating Multisource Datasets[J]. Urban Forestry & Urban Greening, 2023,89: 128114.

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    WU Dan, WANG Ying, LE Ying. Research on the Spatial Identification of Urban Park Green Space Habitats Based on UAV Multi-Source Remote Sensing Data[J]. Landscape Architecture, 2025, 42(8): 121

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    Paper Information

    Received: Apr. 17, 2025

    Accepted: Aug. 25, 2025

    Published Online: Aug. 25, 2025

    The Author Email: LE Ying (vitis6@126.com)

    DOI:10.12193/j.laing.2025.08.0121.014

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