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收藏A data-and knowledge-driven cropland parcel recognition method based on segment anything model (SAM)基于段任意模型(SAM)的数据与知识驱动农田地块识别方法
Geng, Qing; Ye, Kaiqi; Xu, Fan; Meng, Yu; Huang, Miao; Yuan, Chunyan; Li, Li; Gao, Bingbo; Zhou, Hu; Yang, Jianyu; Li, Ying; Huang, Jianxi; Yao, Xiaochuang
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收藏Inversion of soil organic carbon content based on the two-point machine learning method
Wang, Chenyi; Gao, Bingbo; Yang, Ke; Wang, Yuxue; Sukhbaatar, Chinzorig; Yin, Yue; Feng, Quanlong; Yao, Xiaochuang; Zhang, Zhonghao; Yang, Jianyu
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收藏Deep learning in cropland field identification: A review
Xu, Fan; Yao, Xiaochuang; Zhang, Kangxin; Yang, Hao; Feng, Quanlong; Li, Ying; Yan, Shuai; Gao, Bingbo; Li, Shaoshuai; Yang, Jianyu; Zhang, Chao; Lv, Yahui; Zhu, Dehai; Ye, Sijing
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收藏TSANet: A deep learning framework for the delineation of agricultural fields utilizing satellite image time seriesTSANet: 利用卫星图像时间序列划定农田的深度学习框架
Yan, Shuai; Yao, Xiaochuang; Sun, Jialin; Huang, Weiming; Yang, Longshan; Zhang, Chao; Gao, Bingbo; Yang, Jianyu; Yun, Wenju; Zhu, Dehai
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收藏The divergent response of vegetation phenology to urbanization: A case study of Beijing city, China
Zhang, Yehua; Yin, Peiyi; Li, Xuecao; Niu, Quandi; Wang, Yixuan; Cao, Wenting; Huang, Jianxi; Chen, Han; Yao, Xiaochuang; Yu, Le; Li, Baoguo
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