High-resolution geochemical record for the last 1100 yr from Lake Toson, northeastern Tibetan Plateau, and its climatic implications

2018 ◽  
Vol 487 ◽  
pp. 61-70 ◽  
Author(s):  
Yuan Ling ◽  
Xinqin Dai ◽  
Mianping Zheng ◽  
Qing Sun ◽  
Guoqiang Chu ◽  
...  
Keyword(s):  
High Resolution ◽  
Tibetan Plateau ◽  
Northeastern Tibetan Plateau

scholarly journals High‐Resolution Eocene Magnetostratigraphy of the Xijigou Section: Implications for the Infilling Process of Xining Basin, Northeastern Tibetan Plateau

2019 ◽  
Vol 124 (8) ◽  
pp. 7588-7603 ◽  
Author(s):  
Fan Yang ◽  
Zhengtang Guo ◽  
Chunxia Zhang ◽  
Sayem Abu Sadat Md ◽  
Zhilin He ◽  
...  
Keyword(s):  
High Resolution ◽  
Tibetan Plateau ◽  
Northeastern Tibetan Plateau ◽  
Xining Basin

A new growth model of the northeastern Tibetan Plateau from high-resolution seismic imaging by improved double-difference tomography

2021 ◽  
Vol 798 ◽  
pp. 228699
Author(s):  
Quan Sun ◽  
Shunping Pei ◽  
Zhongxiong Cui ◽  
Y. John Chen ◽  
Yanbing Liu ◽  
...  
Keyword(s):  
High Resolution ◽  
Tibetan Plateau ◽  
Growth Model ◽  
Seismic Imaging ◽  
Double Difference ◽  
Northeastern Tibetan Plateau

High-resolution magnetostratigraphic study of the Paleogene-Neogene strata in the Northern Qaidam Basin: Implications for the growth of the Northeastern Tibetan Plateau

2017 ◽  
Vol 46 ◽  
pp. 141-155 ◽  
Author(s):  
Junliang Ji ◽  
Kexin Zhang ◽  
Peter D. Clift ◽  
Guangsheng Zhuang ◽  
Bowen Song ◽  
...  
Keyword(s):  
High Resolution ◽  
Tibetan Plateau ◽  
Qaidam Basin ◽  
Northeastern Tibetan Plateau

scholarly journals Automatic Mapping of Thermokarst Landforms from Remote Sensing Images Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau

2018 ◽  
Vol 10 (12) ◽  
pp. 2067 ◽  
Author(s):  
Lingcao Huang ◽  
Lin Liu ◽  
Liming Jiang ◽  
Tingjun Zhang
Keyword(s):  
Remote Sensing ◽  
Deep Learning ◽  
High Resolution ◽  
Tibetan Plateau ◽  
Training Data ◽  
Fine Tuning ◽  
Remote Sensing Images ◽  
Northeastern Tibetan Plateau ◽  
High Resolution Images

Thawing of ice-rich permafrost causes thermokarst landforms on the ground surface. Obtaining the distribution of thermokarst landforms is a prerequisite for understanding permafrost degradation and carbon exchange at local and regional scales. However, because of their diverse types and characteristics, it is challenging to map thermokarst landforms from remote sensing images. We conducted a case study towards automatically mapping a type of thermokarst landforms (i.e., thermo-erosion gullies) in a local area in the northeastern Tibetan Plateau from high-resolution images by the use of deep learning. In particular, we applied the DeepLab algorithm (based on Convolutional Neural Networks) to a 0.15-m-resolution Digital Orthophoto Map (created using aerial photographs taken by an Unmanned Aerial Vehicle). Here, we document the detailed processing flow with key steps including preparing training data, fine-tuning, inference, and post-processing. Validating against the field measurements and manual digitizing results, we obtained an F1 score of 0.74 (precision is 0.59 and recall is 1.0), showing that the proposed method can effectively map small and irregular thermokarst landforms. It is potentially viable to apply the designed method to mapping diverse thermokarst landforms in a larger area where high-resolution images and training data are available.

scholarly journals Runoff Simulation by SWAT Model Using High-Resolution Gridded Precipitation in the Upper Heihe River Basin, Northeastern Tibetan Plateau

Water ◽  
2017 ◽  
Vol 9 (11) ◽  
pp. 866 ◽  
Author(s):  
Hongwei Ruan ◽  
Songbing Zou ◽  
Dawen Yang ◽  
Yuhan Wang ◽  
Zhenliang Yin ◽  
...  
Keyword(s):  
High Resolution ◽  
Tibetan Plateau ◽  
River Basin ◽  
Swat Model ◽  
Heihe River Basin ◽  
Heihe River ◽  
Runoff Simulation ◽  
Northeastern Tibetan Plateau
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