High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | The Innovation |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666675825000712 |
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| author | Jinkang Hu Dailiang Peng Jing M. Chen Alfredo R. Huete Le Yu Zihang Lou Enhui Cheng Xuan Yang Bing Zhang |
| author_facet | Jinkang Hu Dailiang Peng Jing M. Chen Alfredo R. Huete Le Yu Zihang Lou Enhui Cheng Xuan Yang Bing Zhang |
| author_sort | Jinkang Hu |
| collection | DOAJ |
| format | Article |
| id | doaj-art-6d1e78d50c9448ebbd16651bf25edc85 |
| institution | OA Journals |
| issn | 2666-6758 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | The Innovation |
| spelling | doaj-art-6d1e78d50c9448ebbd16651bf25edc852025-08-20T02:02:19ZengElsevierThe Innovation2666-67582025-06-016610086810.1016/j.xinn.2025.100868High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learningJinkang Hu0Dailiang Peng1Jing M. Chen2Alfredo R. Huete3Le Yu4Zihang Lou5Enhui Cheng6Xuan Yang7Bing Zhang8Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China; Corresponding authorSchool of Geographical Sciences, Fujian Normal University, Fuzhou 350117, China; Department of Geography and Planning, University of Toronto, Toronto, ON M5S 3G3, CanadaSchool of Life Sciences, University of Technology Sydney, Ultimo, NSW 2007, AustraliaDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, ChinaInstitute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100094, ChinaChina Remote Sensing Satellite Ground Station, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China; College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100094, China; Corresponding authorhttp://www.sciencedirect.com/science/article/pii/S2666675825000712 |
| spellingShingle | Jinkang Hu Dailiang Peng Jing M. Chen Alfredo R. Huete Le Yu Zihang Lou Enhui Cheng Xuan Yang Bing Zhang High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning The Innovation |
| title | High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning |
| title_full | High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning |
| title_fullStr | High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning |
| title_full_unstemmed | High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning |
| title_short | High-precision inversion of vegetation parameters in the AI era: Integrating hyperspectral remote sensing and deep learning |
| title_sort | high precision inversion of vegetation parameters in the ai era integrating hyperspectral remote sensing and deep learning |
| url | http://www.sciencedirect.com/science/article/pii/S2666675825000712 |
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