Digital Landscape Architecture Design Using High Resolution Remote Sensing Image Interpretation
With the continuous development of remote sensing technology and the widespread application of high-resolution remote sensing images, digital landscape design based on high-resolution remote sensing image interpretation is gradually becoming a new design concept and method. This study is based on hi...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2025-06-01
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| Series: | Archives of Civil Engineering |
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| Online Access: | https://journals.pan.pl/Content/135359/PDF/07_3k.pdf |
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| author | Hang Yin Lanyu Chang Guangpeng Yue |
| author_facet | Hang Yin Lanyu Chang Guangpeng Yue |
| author_sort | Hang Yin |
| collection | DOAJ |
| description | With the continuous development of remote sensing technology and the widespread application of high-resolution remote sensing images, digital landscape design based on high-resolution remote sensing image interpretation is gradually becoming a new design concept and method. This study is based on high-resolution remote sensing images to classify gardens, and combined with ground survey data, statistical analysis software is used to invert the landscape elements of gardens. The experimental results showed that the R2 value was relatively large, while the MRE and RMSE values were small, indicating that the analysis results were close to the true values and the fitting effect was relatively ideal. The overall image segmentation was excellent, with an average diameter at breast height of 8.0–17.0 cm, mixing degree of 0.4–0.6, vertical diversity of 0.5–0.8, and a clear forest hierarchy when the average density was between 800–1100 plants/hm2. This indicates that the quality of landscape architecture designed at this landscape scale changes significantly and the effect is good. Digital landscape design based on high-resolution remote sensing image interpretation can not only improve design efficiency and accuracy, but also provide strong support for the sustainable development of urban planning and landscape design. |
| format | Article |
| id | doaj-art-5be692afb8e145f684c0c39a13c8ae36 |
| institution | OA Journals |
| issn | 1230-2945 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Civil Engineering |
| spelling | doaj-art-5be692afb8e145f684c0c39a13c8ae362025-08-20T02:07:23ZengPolish Academy of SciencesArchives of Civil Engineering1230-29452025-06-01vol. 71No 299112https://doi.org/10.24425/ace.2025.154110Digital Landscape Architecture Design Using High Resolution Remote Sensing Image InterpretationHang Yin0https://orcid.org/0009-0005-9949-8308Lanyu Chang1https://orcid.org/0009-0005-5449-4776Guangpeng Yue2https://orcid.org/0009-0002-6574-5727Luxun Academy of Fine Arts, College of Architectural Art Design, 110000 Shenyang, ChinaLuxun Academy of Fine Arts, Experimental Art Department, 110000 Shenyang, ChinaLuxun Academy of Fine Arts, College of Industrial Design, 110000 Shenyang, ChinaWith the continuous development of remote sensing technology and the widespread application of high-resolution remote sensing images, digital landscape design based on high-resolution remote sensing image interpretation is gradually becoming a new design concept and method. This study is based on high-resolution remote sensing images to classify gardens, and combined with ground survey data, statistical analysis software is used to invert the landscape elements of gardens. The experimental results showed that the R2 value was relatively large, while the MRE and RMSE values were small, indicating that the analysis results were close to the true values and the fitting effect was relatively ideal. The overall image segmentation was excellent, with an average diameter at breast height of 8.0–17.0 cm, mixing degree of 0.4–0.6, vertical diversity of 0.5–0.8, and a clear forest hierarchy when the average density was between 800–1100 plants/hm2. This indicates that the quality of landscape architecture designed at this landscape scale changes significantly and the effect is good. Digital landscape design based on high-resolution remote sensing image interpretation can not only improve design efficiency and accuracy, but also provide strong support for the sustainable development of urban planning and landscape design.https://journals.pan.pl/Content/135359/PDF/07_3k.pdfhigh-resolution remote sensingdigital landscape architectureplanning and designforeststand structure |
| spellingShingle | Hang Yin Lanyu Chang Guangpeng Yue Digital Landscape Architecture Design Using High Resolution Remote Sensing Image Interpretation Archives of Civil Engineering high-resolution remote sensing digital landscape architecture planning and design foreststand structure |
| title | Digital Landscape Architecture Design Using High Resolution Remote Sensing Image Interpretation |
| title_full | Digital Landscape Architecture Design Using High Resolution Remote Sensing Image Interpretation |
| title_fullStr | Digital Landscape Architecture Design Using High Resolution Remote Sensing Image Interpretation |
| title_full_unstemmed | Digital Landscape Architecture Design Using High Resolution Remote Sensing Image Interpretation |
| title_short | Digital Landscape Architecture Design Using High Resolution Remote Sensing Image Interpretation |
| title_sort | digital landscape architecture design using high resolution remote sensing image interpretation |
| topic | high-resolution remote sensing digital landscape architecture planning and design foreststand structure |
| url | https://journals.pan.pl/Content/135359/PDF/07_3k.pdf |
| work_keys_str_mv | AT hangyin digitallandscapearchitecturedesignusinghighresolutionremotesensingimageinterpretation AT lanyuchang digitallandscapearchitecturedesignusinghighresolutionremotesensingimageinterpretation AT guangpengyue digitallandscapearchitecturedesignusinghighresolutionremotesensingimageinterpretation |