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浏览/检索结果: 共524条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Enhanced mapping of soil organic carbon in China's Black Soil Region using spectral-temporal-spatial fusion of multi-sensor satellite data 期刊论文  OAI收割 SOIL & TILLAGE RESEARCH, 2026, 卷号: 257, 页码: 106965 作者:  Lv, Junwei;  Geng, Jing;  Wu, Yi;  Fang, Huajun;  Cheng, Shulan   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/12/19 Soil organic carbon  Hyperspectral imagery  Multispectral imagery  Data fusion   Saline patch identification using a semi-supervised knowledge integration deep learning framework based solely on UAV RGB imagery 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2026, 卷号: 240, 页码: 111061 作者:  Li, Zhen;  Sun, Zhigang;  Yang, Ting;  Liu, Zhen;  Sun, Wentao   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/02/09 Saline patch identification  Knowledge integration  Semi-supervised learning  UAV imagery   TopoRF-Net: Topology-Aware Road Segmentation in Multi-Resolution Remote Sensing via Multi-Receptive Field Adaptation 期刊论文  OAI收割 SENSORS, 2025, 卷号: 25, 期号: 24, 页码: 7428 作者:  Fu, Junjie;  Wang, Chenliang;  Lv, Hongchen;  Lu, Hao;  Shi, Wenjiao   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/21 remote sensing imagery  semantic segmentation  road extraction  multi-receptive field  structural connectivity  topology-aware loss   Tracking site-scale tidal flat dynamics using time-series satellite data and Google Earth Engine over the past 40 years 期刊论文  OAI收割 OCEANOLOGICAL AND HYDROBIOLOGICAL STUDIES, 2025, 卷号: 54, 期号: 4, 页码: 328-352 作者:  Arif, Maham;  Xing, Qianguo;  Li, Jie   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/28 tidal flat  time series satellite imagery  pixel-based composite algorithm  Google Earth Engine  Otsu Algorithm   AMS-YOLO: Asymmetric Multi-Scale Fusion Network for Cannabis Detection in UAV Imagery 期刊论文  OAI收割 DRONES, 2025, 卷号: 9, 期号: 9, 页码: 629 作者:  Li, Xuelin;  Yue, Huanyin;  Liu, Jianli;  Cheng, Aonan   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/11/17 UAV imagery  cannabis detection  YOLO   Spatiotemporal Dynamics of Total Suspended Solids in the Yellow River Estuary Under New Water-Sediment Regulation: Insights from Sentinel-3 OLCI 期刊论文  OAI收割 REMOTE SENSING, 2025, 卷号: 17, 期号: 17, 页码: 21 作者:  Luo, Yafei;  Hou, Zhengyu;  Liu, Yanxia;  Doxaran, David;  Fu, Dongyang   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/12/09 water and sediment regulation scheme  total suspended solids  Sentinel-3 OLCI imagery  Yellow River estuary   Large-Scale Individual Plastic Greenhouse Extraction Using Deep Learning and High-Resolution Remote Sensing Imagery 期刊论文  OAI收割 AGRONOMY-BASEL, 2025, 卷号: 15, 期号: 8, 页码: 2014 作者:  Chang, Yuguang;  Yu, Xiaoyu;  Li, Baipeng;  Tian, Xiangyu;  Wu, Zhaoming   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/10/20 agricultural monitoring  individual plastic greenhouses  GF-2 remote sensing imagery  feature fusion  semantic segmentation   Validation of Global Moderate-Resolution FAPAR Products over Boreal Forests in North America Using Harmonized Landsat and Sentinel-2 Data 期刊论文  OAI收割 REMOTE SENSING, 2025, 卷号: 17, 期号: 15, 页码: 2658 作者:  Zhang, Yinghui;  Fang, Hongliang;  Hu, Zhongwen;  Wang, Yao;  Li, Sijia   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/09/22 FAPAR  validation  forest  global FAPAR products  Harmonized Landsat and Sentinel-2 (HLS) imagery  AmeriFlux   Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China 期刊论文  OAI收割 REMOTE SENSING, 2025, 卷号: 17, 期号: 13, 页码: 2130 作者:  Zhao, Zhonghe;  Li, Yuyang;  Liu, Kun;  Wu, Chunsheng;  Yu, Bowei   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/08/21 soil moisture  multi-source remote sensing  vegetation suppression  random forest  UAV multispectral imagery   Monitoring water quality parameters in urban rivers using multi-source data and machine learning approach 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2025, 卷号: 648, 页码: 132394 作者:  Liang, Yongchun;  Ding, Fangyu;  Liu, Lei;  Yin, Fang;  Hao, Mengmeng   |  收藏  |  浏览/下载：41/0  |  提交时间：2025/02/24 Urban rivers  Water quality parameters  Multispectral imagery  Meteorological elements  Land use  Machine learning