中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共5条，第1-5条

帮助

条数/页：排序方式：
	Assessing Potential of Multisource Satellite Data and Machine Learning Models for Cropland Soil Organic Carbon Prediction in Plateau Lake Basin 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4418119 作者: Ji, Xinran; Tang, Bo-Hui; Huang, Liang; Chen, Guokun; Zhu, Xinming \| 收藏 \| 浏览/下载：1/0 \| 提交时间：2025/11/17 Lakes Biological system modeling Predictive models Soil properties Remote sensing Monitoring Long short term memory Data models Vegetation mapping Satellites Cropland machine learning (ML) plateau lake basin remote sensing (RS) soil organic carbon (SOC) soil-pedogenic model vegetation phenology
	High-resolution cropland mapping in China's Huang-Huai-Hai Plain: The coupling of machine learning methods and prior information 期刊论文 OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 卷号: 224, 页码: 109225 作者: Zhao, Jiafu; Chen, Pengfei \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2024/12/20 Cropland mapping A priori information Machine learning Sample migration Positive and unlabeled learning
	Decoding the inconsistency of six cropland maps in China 期刊论文 OAI收割 CROP JOURNAL, 2024, 卷号: 12, 期号: 1, 页码: 281-294 作者: Cui, Yifeng; Liu, Ronggao; Li, Zhichao; Zhang, Chao; Song, Xiao-Peng \| 收藏 \| 浏览/下载：54/0 \| 提交时间：2024/04/30 Consistency and accuracy 10-and 30 m Cropland mapping Agricultural management China
	Cropland fallow reduces agricultural water consumption by 303 million tons annually in Gansu Province, China 期刊论文 OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 879, 页码: 163013 作者: \| 收藏 \| 浏览/下载：45/0 \| 提交时间：2023/06/10 Cropland fallow Fallow mapping Water-saving effect Land use China
	A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect 期刊论文 OAI收割 ENVIRONMENTAL RESEARCH LETTERS, 2022, 卷号: 17, 期号: 12, 页码: 27 作者: Huang, Haili; Yang, Lin; Zhang, Lei; Pu, Yue; Yang, Chenconghai \| 收藏 \| 浏览/下载：62/0 \| 提交时间：2023/01/09 soil carbon cropland digital soil mapping soil information environmental covariates predictive models