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A Remote Sensing-Based Parameterization Method for Global Maximum Surface Relative Humidity With Energy Balance Multivariable Coupling and XGBoost Model
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 4565, 卷号: 63, 页码: 5011109
作者:
Wang, Xiaowei
;
Jiang, Yazhen
;
Wang, Xin
;
Si, Menglin
;
Lou, Yunsheng
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收藏
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浏览/下载:0/0
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提交时间:2026/01/21
Land surface
Remote sensing
Humidity
Estimation
Temperature measurement
Surface resistance
Atmospheric measurements
Surface treatment
Spatiotemporal phenomena
Moisture
Evapotranspiration (ET)
maximum surface relative humidity ( h(s,max) )
surface vapor pressure
FCdDNet: Feature cross-domain decoupling network for remote sensing change detection
期刊论文
OAI收割
PATTERN RECOGNITION, 2026, 卷号: 177, 页码: 113259
作者:
Wang, Bin
;
Wang, Bo
;
Qin, Pinle
;
Zeng, Jianchao
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收藏
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浏览/下载:0/0
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提交时间:2026/03/16
Remote sensing change detection
Disentangled representation
Prototype contrastive learning
Over-expectation push-pull loss
Hierarchical perception guided deep learning framework for landslide detection with multi-source remotely sensed data
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2026, 卷号: 19, 期号: 1, 页码: 2632415
作者:
Zhong, Chencheng
;
Chen, Jifa
;
Chen, Gang
;
Yang, Lu
;
Tao, Lizhi
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浏览/下载:0/0
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提交时间:2026/03/16
Landslide detection
hierarchical perception
deep learning
wavelet transform
multi-source remote sensing
Quantitative assessment of coastal zone scene changes and drivers in the coastal zone of the Guangdong-Hong Kong-Macao Greater Bay Area
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2026, 卷号: 19, 期号: 1, 页码: 2622141
作者:
Yan, Fengqin
;
Shi, Tiezhu
;
Tang, Yuzhi
;
Su, Fenzhen
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提交时间:2026/03/16
Coastal zone
remote sensing
scene change
land-use change
human activities
urban agglomeration
Dynamic patterns of constraints, drivers and impacts of land-based aquaculture areas and their implications: A case of Guangdong, China from 1990 to 2020
期刊论文
OAI收割
LAND USE POLICY, 2026, 卷号: 165, 页码: 108003
作者:
Gao, Ku
;
Yang, Xiaomei
;
Wang, Zhihua
;
Liu, Yueming
;
Lai, Feilin
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收藏
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浏览/下载:0/0
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提交时间:2026/04/16
Aquaculture
Remote sensing
Google Earth Engine
GeoDetector
Land use
How does gross primary production uncertainty impact evapotranspiration prediction within the carbon-water coupled model?
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2026, 卷号: 670, 页码: 135131
作者:
Huang, Lingxiao
;
Wang, Yizhe
;
Liu, Meng
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收藏
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浏览/下载:1/0
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提交时间:2026/04/16
Evapotranspiration
Gross primary production
Carbon-water coupled model
Remote sensing
High-resolution mapping of saturated soil hydraulic conductivity across China's drylands
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2026, 卷号: 148, 页码: 105176
作者:
Yang, Ting
;
Jia, Xiaoxu
;
Niu, Liantao
;
Huang, Laiming
;
Zhao, Chunlei
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收藏
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浏览/下载:0/0
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提交时间:2026/04/16
Saturated soil hydraulic conductivity
Remote sensing
Machine learning
Sentinel-1/2
Environmental covariates
Integrating spatiotemporal similarity for robust gap-filling in continuous surface water mapping with uncertainty quantification
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2026, 卷号: 234, 页码: 134-150
作者:
Xiao, Zhen
;
Li, Runkui
;
Song, Xianfeng
;
Ding, Mingjun
;
Liang, Shunlin
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收藏
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浏览/下载:0/0
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提交时间:2026/04/16
Surface water
Gap-filling framework
Spatio-Temporal similarity
Uncertainty quantification
Landsat
Remote sensing
Cognition-inspired multimodal attention fusion of close-range laser scanning data for globally representative tree species classification
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2026, 卷号: 335, 页码: 115269
作者:
Luo, Xin
;
Tian, Xin
;
Liang, Xinlian
;
Mokros, Martin
;
Chai, GuoQi
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收藏
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浏览/下载:0/0
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提交时间:2026/04/16
Tree species classification
Close-range sensing
Multimodal fusion
Deep learning
Attention mechanism
Forest remote sensing
Refined Carbon Emission Monitoring in Data-Scarce Regions: Insights from Nighttime Light Remote Sensing in the Yangtze River Delta
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2026, 卷号: 16, 期号: 5, 页码: 2575
作者:
Ye, Xingwen
;
Yao, Zuofang
;
Yang, Fei
;
Ao, Yifang
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收藏
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浏览/下载:0/0
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提交时间:2026/04/16
carbon emissions
nighttime light
spatial-temporal analysis
remote sensing
energy consumption