IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i23p13348-d693465.html
   My bibliography  Save this article

Tropical Forests Classification Based on Weighted Separation Index from Multi-Temporal Sentinel-2 Images in Hainan Island

Author

Listed:
  • Qi Zhu

    (Key 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
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Huadong Guo

    (Key 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
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Lu Zhang

    (Key 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
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Dong Liang

    (Key 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
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xvting Liu

    (Key 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
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xiangxing Wan

    (China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China)

  • Jinlong Liu

    (Chongqing Geomatics and Remote Sensing Center, Chongqing 401147, China)

Abstract

Tropical forests play a vital role in biodiversity conservation and the maintenance of sustainability. Although different time-series spatial resolution satellite images have provided opportunities for tropical forests classification, the complexity and diversity of vegetation types still pose challenges, especially for distinguishing different vegetation types. In this paper, we proposed a Spectro-Temporal Feature Selection (STFS) method based on the Weighted Separation Index (WSI) using multi-temporal Sentinel-2 data for mapping tropical forests in Jianfengling area, Hainan Province. The results showed that the tropical forests were classified with an overall accuracy of 93% and an F1 measure of 0.92 with multi-temporal Sentinel-2 data. As our results also revealed, the WSI based STFS method could be efficient in tropical forests classification by using a fewer feature subset compared with Variable Selection Using Random Forest (14 features and all 40 features, respectively) to achieve the same accuracy. The analysis also showed it was not advisable to only pursue a higher WSI value while ignoring the heterogeneity and diversity of features. This study demonstrated that the WSI can provide a new feature selection method for multi-temporal remote sensing image classification.

Suggested Citation

  • Qi Zhu & Huadong Guo & Lu Zhang & Dong Liang & Xvting Liu & Xiangxing Wan & Jinlong Liu, 2021. "Tropical Forests Classification Based on Weighted Separation Index from Multi-Temporal Sentinel-2 Images in Hainan Island," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13348-:d:693465
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/23/13348/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/23/13348/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Deborah Lawrence & Karen Vandecar, 2015. "Erratum: Effects of tropical deforestation on climate and agriculture," Nature Climate Change, Nature, vol. 5(2), pages 174-174, February.
    2. Deborah Lawrence & Karen Vandecar, 2015. "Effects of tropical deforestation on climate and agriculture," Nature Climate Change, Nature, vol. 5(1), pages 27-36, January.
    3. A. Baccini & S. J. Goetz & W. S. Walker & N. T. Laporte & M. Sun & D. Sulla-Menashe & J. Hackler & P. S. A. Beck & R. Dubayah & M. A. Friedl & S. Samanta & R. A. Houghton, 2012. "Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps," Nature Climate Change, Nature, vol. 2(3), pages 182-185, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yue Li & Paulo M. Brando & Douglas C. Morton & David M. Lawrence & Hui Yang & James T. Randerson, 2022. "Deforestation-induced climate change reduces carbon storage in remaining tropical forests," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Mangani, Andrea, 2021. "When does print media address deforestation? A quantitative analysis of major newspapers from US, UK, and Australia," Forest Policy and Economics, Elsevier, vol. 130(C).
    3. Apeti, Ablam Estel & N’Doua, Bossoma Doriane, 2023. "The impact of timber regulations on timber and timber product trade," Ecological Economics, Elsevier, vol. 213(C).
    4. Magalhães de Oliveira, Gustavo & Sellare, Jorge & Cisneros, Elias, Börner, Jan & Börner, Jan, 2024. "Mind your language: Political signaling and deforestation in the Brazilian Amazon," Discussion Papers 333334, University of Bonn, Center for Development Research (ZEF).
    5. Anna Chrysafi & Vili Virkki & Mika Jalava & Vilma Sandström & Johannes Piipponen & Miina Porkka & Steven J. Lade & Kelsey Mere & Lan Wang-Erlandsson & Laura Scherer & Lauren S. Andersen & Elena Bennet, 2022. "Quantifying Earth system interactions for sustainable food production via expert elicitation," Nature Sustainability, Nature, vol. 5(10), pages 830-842, October.
    6. Pal, Saheb & Ghosh, Indrajit, 2023. "Dynamics of a coupled socio-environmental model: An application to global CO2 emissions," Ecological Modelling, Elsevier, vol. 478(C).
    7. Jennifer Hewson & Stefano C. Crema & Mariano González-Roglich & Karyn Tabor & Celia A. Harvey, 2019. "New 1 km Resolution Datasets of Global and Regional Risks of Tree Cover Loss," Land, MDPI, vol. 8(1), pages 1-14, January.
    8. Jiang, Shouzheng & Wu, Jie & Wang, Zhihui & He, Ziling & Wang, Mingjun & Yao, Weiwei & Feng, Yu, 2023. "Spatiotemporal variations of cropland carbon sequestration and water loss across China," Agricultural Water Management, Elsevier, vol. 287(C).
    9. Jingmeng Wang & Wei Li & Philippe Ciais & Laurent Z. X. Li & Jinfeng Chang & Daniel Goll & Thomas Gasser & Xiaomeng Huang & Narayanappa Devaraju & Olivier Boucher, 2021. "Global cooling induced by biophysical effects of bioenergy crop cultivation," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    10. Raquel Fernández-González & Félix Puime Guillén & Otilia Manta & Simona Andreea Apostu & Valentina Vasile, 2022. "Forest Management Communities’ Participation in Bioenergy Production Initiatives: A Case Study for Galicia (Spain)," Energies, MDPI, vol. 15(19), pages 1-17, October.
    11. Hao Yu & Wei Song, 2023. "Research Progress on the Impact of Land Use Change on Soil Carbon Sequestration," Land, MDPI, vol. 12(1), pages 1-18, January.
    12. Djenontin, Ida N.S. & Zulu, Leo C., 2021. "The quest for context-relevant governance of agro-forest landscape restoration in Central Malawi: Insights from local processes," Forest Policy and Economics, Elsevier, vol. 131(C).
    13. Batista, Fabiana de Souza & Duku, Confidence & Hein, Lars, 2023. "Deforestation-induced changes in rainfall decrease soybean-maize yields in Brazil," Ecological Modelling, Elsevier, vol. 486(C).
    14. Shyamsundar, Priya & Sauls, Laura Aileen & Cheek, Jennifer Zavaleta & Sullivan-Wiley, Kira & Erbaugh, J.T. & Krishnapriya, P.P., 2021. "Global forces of change: Implications for forest-poverty dynamics," Forest Policy and Economics, Elsevier, vol. 133(C).
    15. Jun Ge & Qi Liu & Beilei Zan & Zhiqiang Lin & Sha Lu & Bo Qiu & Weidong Guo, 2022. "Deforestation intensifies daily temperature variability in the northern extratropics," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    16. Flach, Rafaela & Abrahão, Gabriel & Bryant, Benjamin & Scarabello, Marluce & Soterroni, Aline C. & Ramos, Fernando M. & Valin, Hugo & Obersteiner, Michael & Cohn, Avery S., 2021. "Conserving the Cerrado and Amazon biomes of Brazil protects the soy economy from damaging warming," World Development, Elsevier, vol. 146(C).
    17. Alexandros I. Stefanakis & Cristina S.C. Calheiros & Ioannis Nikolaou, 2021. "Nature-Based Solutions as a Tool in the New Circular Economic Model for Climate Change Adaptation," Circular Economy and Sustainability,, Springer.
    18. Chiarella, Cristina & Meyfroidt, Patrick & Abeygunawardane, Dilini & Conforti, Piero, 2023. "Balancing the trade-offs between land productivity, labor productivity and labor intensity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 52(10), pages 1618-1634.
    19. Law, Elizabeth A. & Macchi, Leandro & Baumann, Matthias & Decarre, Julieta & Gavier-Pizarro, Gregorio & Levers, Christian & Mastrangelo, Matías E. & Murray, Francisco & Müller, Daniel & Piquer-Rodrígu, 2021. "Fading opportunities for mitigating agriculture-environment trade-offs in a south American deforestation hotspot," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 262.
    20. Antoine Leblois, 2021. "Mitigating the impact of bad rainy seasons in poor agricultural regions to tackle deforestation," Post-Print hal-03111007, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13348-:d:693465. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.