دورية أكاديمية
The time-series GF-1 WFV data monitoring of sugarcane using a Random Forest Algorithm in South China
العنوان: | The time-series GF-1 WFV data monitoring of sugarcane using a Random Forest Algorithm in South China |
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المؤلفون: | C. Chen, L. Lou, T. Cheng, X. Gao, Y. Liu |
المصدر: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 85-90 (2024) |
بيانات النشر: | Copernicus Publications, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Applied optics. Photonics |
مصطلحات موضوعية: | Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820 |
الوصف: | There is large distribution of sugarcane growth in south China which is play an important role of sugar industry. Remote sensing technology is used in sugarcane monitoring for large areas. However, the optical satellite data coverage is influenced by the rainy weather especially in the grand growth period of sugarcane. GF-1 WFV has widely swath 800km and short revisit time which is ideal data for this study area. In this paper, the random forest model was chosen to get a precise classification result of sugarcane based on time-series band value and 5 spectral indexes image is 89.73% and the Kappa coefficient is 0.65 which is satisfied the overall extraction of sugarcane for large area is the southern China. Furthermore, the decision tree classification was chosen as a comparative experience research. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1682-1750 2194-9034 |
العلاقة: | https://isprs-archives.copernicus.org/articles/XLVIII-1-2024/85/2024/isprs-archives-XLVIII-1-2024-85-2024.pdfTest; https://doaj.org/toc/1682-1750Test; https://doaj.org/toc/2194-9034Test |
DOI: | 10.5194/isprs-archives-XLVIII-1-2024-85-2024 |
الوصول الحر: | https://doaj.org/article/653418e1e2124a0d95ab35a31735019cTest |
رقم الانضمام: | edsdoj.653418e1e2124a0d95ab35a31735019c |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 16821750 21949034 |
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DOI: | 10.5194/isprs-archives-XLVIII-1-2024-85-2024 |