{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T02:39:09Z","timestamp":1779935949534,"version":"3.53.1"},"reference-count":38,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T00:00:00Z","timestamp":1678060800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA19030101"],"award-info":[{"award-number":["XDA19030101"]}]},{"name":"The Strategic Priority Research Program of the Chinese Academy of Sciences","award":["MSK202011"],"award-info":[{"award-number":["MSK202011"]}]},{"name":"Fujian Water Conservancy Science and Technology Project","award":["XDA19030101"],"award-info":[{"award-number":["XDA19030101"]}]},{"name":"Fujian Water Conservancy Science and Technology Project","award":["MSK202011"],"award-info":[{"award-number":["MSK202011"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Understory vegetation plays an important ecological role in maintaining the diversity of the ecosystem, the stability of ecosystem services, and the accumulation of nutrient elements, as an important part of a forest ecosystem. In this study, a new method of recognizing areas without understory vegetation is proposed. The method makes full use of the advantages of spectral characteristics, spatial structure information and temporal resolution of UAV images, and can quickly and simply distinguish understory, without vegetation cover. Combined with fractional vegetation coverage (FVC) and vegetation dispersion, understory, with no vegetation area, can be successfully recognized, and the Pr, Re and F1 are all above 85%. The proportion of bare soil under forest in our study area is 20.40%, 19.98% and even 41.69%. The study area is located in Changting County, Fujian Province, which is a typical red soil area in China where serious soil erosion is taking place in the forest. The method provides a promising, quick and economic way of estimating understory vegetation coverage with high spatial accuracy.<\/jats:p>","DOI":"10.3390\/rs15051470","type":"journal-article","created":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T01:43:35Z","timestamp":1678153415000},"page":"1470","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Recognition of Area without Understory Vegetation Based on the RGB-UAV Ultra-High Resolution Images in Red Soil Erosion Area"],"prefix":"10.3390","volume":"15","author":[{"given":"Chunming","family":"Han","sequence":"first","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7286-4452","authenticated-orcid":false,"given":"Jia","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4264-136X","authenticated-orcid":false,"given":"Yixing","family":"Ding","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Chai","sequence":"additional","affiliation":[{"name":"Soil and Water Conservation Experimental Station of Fujian Province, Fuzhou 350003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolin","family":"Bian","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China"},{"name":"Laboratory of Target Microwave Properties, Deqing Academy of Satellite Applications, Huzhou 313200, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.foreco.2006.04.040","article-title":"Carbon sequestration and nutrient cycling implications of the evergreen understory layer in Appalachian forests","volume":"231","author":"Chastain","year":"2006","journal-title":"For. Ecol. Manag."},{"key":"ref_2","first-page":"7","article-title":"Function and Composition of Understory Vegetation: Recent Advances and Trends","volume":"27","author":"Zhu","year":"2014","journal-title":"World For. Res."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Li, G., Wan, L., Cui, M., Wu, B., and Zhou, J. (2019). Influence of Canopy Interception and Rainfall Kinetic Energy on Soil Erosion under Forests. Forests, 10.","DOI":"10.3390\/f10060509"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.catena.2014.07.013","article-title":"Regional soil erosion assessment from remote sensing data in rehabilitated high density canopy forests of southern China","volume":"123","author":"Zhang","year":"2014","journal-title":"Catena"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/0341-8162(97)81257-X","article-title":"Slope Stabilization and Erosion Control. A Bioengineering Approach","volume":"28","author":"Gabriels","year":"1996","journal-title":"Catena"},{"key":"ref_6","first-page":"12","article-title":"Progress in Research on Prevention and Control of Soil Erosion Under Forest in Red Soil Hilly Region of South China","volume":"57","author":"Yuan","year":"2020","journal-title":"Acta Pedol. Sin."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.catena.2010.07.006","article-title":"Stratified vegetation cover index: A new way to assess vegetation impact on soil erosion","volume":"83","author":"Zhong","year":"2010","journal-title":"Catena"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/0341-8162(95)00002-A","article-title":"Impact of afforestation on hydrological response and sediment production in a small Calabrian catchment","volume":"25","author":"Bryan","year":"1995","journal-title":"Catena"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2013","DOI":"10.1038\/s41467-017-02142-7","article-title":"An assessment of the global impact of 21st century land use change on soil erosion","volume":"8","author":"Borrelli","year":"2017","journal-title":"Nat. Commun."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1641\/0006-3568(2004)054[0511:HSRRSD]2.0.CO;2","article-title":"High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization","volume":"54","author":"Wulder","year":"2004","journal-title":"BioScience"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1833","DOI":"10.1016\/j.rse.2010.03.008","article-title":"Mapping understory vegetation using phenological characteristics derived from remotely sensed data","volume":"114","author":"Tuanmu","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Xu, H., Hu, X., Guan, H., Zhang, B., Wang, M., Chen, S., and Chen, M. (2019). A remote sensing based method to detect soil erosion in forests. Remote Sens., 11.","DOI":"10.3390\/rs11050513"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zhou, H., Fu, L., Sharma, R.P., Lei, Y., and Guo, J. (2021). A hybrid approach of combining random forest with texture analysis and VDVI for desert vegetation mapping Based on UAV RGB Data. Remote Sens., 13.","DOI":"10.3390\/rs13101891"},{"key":"ref_14","first-page":"814","article-title":"An identification method of understory vegetation cover using UAV remote sensing in visible light band","volume":"46","author":"Zhu","year":"2018","journal-title":"J. Fuzhou Univ. Nat. Sci. Ed."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1685","DOI":"10.1080\/01431160310001598971","article-title":"Using artificial neural networks to map the spatial distribution of understorey bamboo from remote sensing data","volume":"25","author":"Linderman","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1080\/01431160802411867","article-title":"Improved understorey bamboo cover mapping using a novel hybrid neural network and expert system","volume":"30","author":"Wang","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1890\/070001","article-title":"Lidar: Shedding new light on habitat characterization and modeling","volume":"6","author":"Vierling","year":"2008","journal-title":"Front. Ecol. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2533","DOI":"10.1016\/j.rse.2009.07.002","article-title":"Mapping snags and understory shrubs for a LiDAR-based assessment of wildlife habitat suitability","volume":"113","author":"Martinuzzi","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.isprsjprs.2008.12.004","article-title":"Mapping the understorey of deciduous woodland from leaf-on and leaf-off airborne LiDAR data: A case study in lowland Britain","volume":"64","author":"Hill","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_20","first-page":"1","article-title":"Study on the extraction method of soil erosion area under forest in southern red soil area based on UAV remote sensing image","volume":"34","author":"Chai","year":"2022","journal-title":"Subtrop. Soil Water Conserv."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Blanco-Canqui, H., and Lal, R. (2010). Soil Erosion under Forests, Springer.","DOI":"10.1007\/978-1-4020-8709-7_12"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2438","DOI":"10.1002\/ldr.2960","article-title":"Surface erosion and underground leakage of yellow soil on slopes in karst regions of southwest China","volume":"29","author":"Dai","year":"2018","journal-title":"Land Degrad. Dev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.landusepol.2015.05.021","article-title":"Estimating the soil erosion cov-er-management factor at the European scale","volume":"48","author":"Panagos","year":"2015","journal-title":"Land Use Policy"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1071\/SR13297","article-title":"Deriving RUSLE cover factor from time-series fractional vegetation cover for hillslope erosion modelling in New South Wales","volume":"52","author":"Yang","year":"2014","journal-title":"Soil Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1080\/01431160902882603","article-title":"Object-oriented method for urban vegetation mapping using IKONOS imagery","volume":"31","author":"Zhang","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.isprsjprs.2003.10.002","article-title":"Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information","volume":"58","author":"Benz","year":"2004","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1074","DOI":"10.3390\/rs70101074","article-title":"UAV remote sensing for urban vegetation mapping using random forest and texture analysis","volume":"7","author":"Feng","year":"2015","journal-title":"Remote Sens."},{"key":"ref_28","first-page":"270","article-title":"Vegetation coverage calculation based on low altitude visible spectrum","volume":"37","author":"Bian","year":"2017","journal-title":"Bull. Soil Water Conserv."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"259","DOI":"10.13031\/2013.27838","article-title":"Color indices for weed identification under various soil, residue, and lighting conditions","volume":"38","author":"Woebbecke","year":"1995","journal-title":"Trans. Am. Soc. Agric. Eng."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.compag.2008.03.009","article-title":"Verification of color vegetation indices for automated crop imaging applications","volume":"63","author":"Meyer","year":"2008","journal-title":"Comput. Electron. Agric."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/S0034-4257(01)00289-9","article-title":"Novel algorithms for remote estimation of vegetation fraction","volume":"80","author":"Gitelson","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Zhou, R., Yang, C., Li, E., Cai, X., Yang, J., and Xia, Y. (2021). Object-Based Wetland Vegetation Classification Using Multi-Feature Selection of Unoccupied Aerial Vehicle RGB Imagery. Remote Sens., 13.","DOI":"10.3390\/rs13234910"},{"key":"ref_33","first-page":"79","article-title":"Post-classification corrections in improving the classification of Land Use\/Land Cover of arid region using RS and GIS: The case of Arjuni watershed, Gujarat, India","volume":"20","author":"Thakkar","year":"2017","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_35","first-page":"774","article-title":"A review on fractional vegetation cover estimation using remote sensing","volume":"28","author":"Jia","year":"2013","journal-title":"Adv. Earth Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.3389\/fpls.2019.01270","article-title":"Maize canopy temperature extracted from UAV thermal and RGB imagery and its application in water stress monitoring","volume":"10","author":"Zhang","year":"2019","journal-title":"Front. Plant Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"20170038","DOI":"10.1098\/rsfs.2017.0038","article-title":"Comparing terrestrial laser scanning and unmanned aerial vehicle structure from motion to assess top of canopy structure in tropical forests","volume":"8","author":"Suomalainen","year":"2018","journal-title":"Interface Focus"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s40725-019-00094-3","article-title":"Structure from Motion Photogrammetry in Forestry: A Review","volume":"5","author":"Iglhaut","year":"2019","journal-title":"Curr. For. Rep."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/5\/1470\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:49:15Z","timestamp":1760122155000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/5\/1470"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,6]]},"references-count":38,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2023,3]]}},"alternative-id":["rs15051470"],"URL":"https:\/\/doi.org\/10.3390\/rs15051470","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,6]]}}}