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成都山地灾害与环境... [13]
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期刊论文 [13]
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2023 [2]
2021 [1]
2020 [7]
2019 [2]
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专题:成都山地灾害与环境研究所
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Integrating predictive modeling techniques with geospatial data for landslide susceptibility assessment in northern Pakistan
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2023, 卷号: 20, 期号: 9, 页码: 2603-2627
作者:
Asghar, Aamir
;
Su, Li-jun
;
Zhao, Bo
;
Usmani, Nadeem Ahmad
收藏
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浏览/下载:0/0
  |  
提交时间:2024/02/27
Landslides
MMMM expressway
Machine learning
Landslide susceptibility
Northern Pakistan
Mapping Fire Severity in Southwest China Using the Combination of Sentinel 2 and GF Series Satellite Images
期刊论文
SENSORS, 2023, 卷号: 23, 期号: 5, 页码: 2492
作者:
Zhang, Xiyu
;
Fan, Jianrong
;
Zhou, Jun
;
Gui, Linhua
;
Bi, Yongqing
收藏
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浏览/下载:0/0
  |  
提交时间:2024/05/23
fire severity
high-resolution satellite images
GF series satellite
machine learning
random forest
Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 105, 页码: 11
作者:
Naboureh, Amin
;
Li, Ainong
;
Ebrahimy, Hamid
;
Bian, Jinhu
;
Azadbakht, Mohsen
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  |  
浏览/下载:79/0
  |  
提交时间:2021/12/13
Land cover
Irrigation expansions
Lake Urmia
Google Earth Engine
Sample migration
Landsat
Linking the Random Forests Model and GIS to Assess Geo-Hazards Risk: A Case Study in Shifang County, China
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 28033-28042
作者:
Huang Pei
;
Peng Li
;
Pan Hongyi
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/05/18
Geo-hazards
random forests model
risk assessment
Shifang county
support vector machine model.
Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS/Terra land products and MSG geostationary satellite data
期刊论文
Remote Sensing of Environment, 2020, 卷号: 247, 页码: 111931
作者:
Zhao Wei
;
Duan Si-Bo
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  |  
浏览/下载:13/0
  |  
提交时间:2020/07/07
Atmospheric temperature
Decision trees
Geostationary satellites
Incident solar radiation
Pixels
Radiometers
Surface measurement
Surface properties
Temperature measurement
Topography
Vegetation
RUESVMs: An Ensemble Method to Handle the Class Imbalance Problem in Land Cover Mapping Using Google Earth Engine
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 21, 页码: 140262
作者:
Naboureh, Amin
;
Ebrahimy, Hamid
;
Azadbakht, Mohsen
;
Bian, Jinhu
;
Amani, Meisam
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/12/10
Google Earth Engine
Sentinel-2
land cover mapping
support vector machine
imbalanced data
A Hybrid Data Balancing Method for Classification of Imbalanced Training Data within Google Earth Engine: Case Studies from Mountainous Regions
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 20, 页码: 3301
作者:
Naboureh, Amin
;
Li, Ainong
;
Bian, Jinhu
;
Lei, Guangbin
;
Amani, Meisam
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/12/10
class imbalance problem
Google Earth Engine
land cover mapping
mountainous regions
time-series of Landsat
Evaluation of effective spectral features for glacial lake mapping by using Landsat-8 OLI imagery
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 11, 页码: 2707-2723
作者:
Zhang, Mei-mei
;
Zhao, Hang
;
Chen, Fang
;
Zeng, Jiang-yuan
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2020/12/03
Glacial lake mapping
Landsat-8 OLI
Water Index
Spectral features
Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 3, 页码: 670-685
作者:
Chen Tao
;
Zhu Li
;
Niu Rui-qing
;
Trinder, C. John
;
Peng Ling
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/11/12
Mapping landslide susceptibility
Gradient boosting decision tree
Random forest
Information value model
Three Gorges Reservoir
Comparative performance assessment of landslide susceptibility models with presence-only, presence-absence, and pseudo-absence data
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 12, 页码: 2961-2981
作者:
Zhao, Dong-mei
;
Jiao, Yuan-mei
;
Wang, Jin-liang
;
Ding, Yin-ping
;
Liu, Zhi-lin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/02/17
Landslide susceptibility mapping
Presence-only data
Presence-absence data
Pseudoabsence data
ROC-AUC
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