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Caixia Liu
Caixia Liu
Assistant professor of Chinese Academy of Sciences
Bestätigte E-Mail-Adresse bei ucsb.edu
Titel
Zitiert von
Zitiert von
Jahr
Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data
P Gong, J Wang, L Yu, Y Zhao, Y Zhao, L Liang, Z Niu, X Huang, H Fu, ...
International Journal of Remote Sensing 34 (7), 2607-2654, 2013
16042013
Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine
H Huang, Y Chen, N Clinton, J Wang, X Wang, C Liu, P Gong, J Yang, ...
Remote sensing of environment 202, 166-176, 2017
4122017
Mapping wetland changes in China between 1978 and 2008
ZG Niu, HY Zhang, XW Wang, WB Yao, DM Zhou, KY Zhao, H Zhao, ...
Chinese Science Bulletin 57, 2813-2823, 2012
3582012
Towards a common validation sample set for global land-cover mapping
Y Zhao, P Gong, L Yu, L Hu, X Li, C Li, H Zhang, Y Zheng, J Wang, ...
International Journal of Remote Sensing 35 (13), 4795-4814, 2014
1862014
Meta-discoveries from a synthesis of satellite-based land-cover mapping research
L Yu, L Liang, J Wang, Y Zhao, Q Cheng, L Hu, S Liu, L Yu, X Wang, ...
International Journal of Remote Sensing 35 (13), 4573-4588, 2014
1832014
The first all-season sample set for mapping global land cover with Landsat-8 data
C Li, P Gong, J Wang, Z Zhu, GS Biging, C Yuan, T Hu, H Zhang, Q Wang, ...
Science Bulletin 62 (7), 508-515, 2017
1242017
Integration of multi-resource remotely sensed data and allometric models for forest aboveground biomass estimation in China
H Huang, C Liu, X Wang, X Zhou, P Gong
Remote Sensing of Environment 221, 225-234, 2019
872019
The migration of training samples towards dynamic global land cover mapping
H Huang, J Wang, C Liu, L Liang, C Li, P Gong
ISPRS Journal of Photogrammetry and Remote Sensing 161, 27-36, 2020
802020
Estimating building height in China from ALOS AW3D30
H Huang, P Chen, X Xu, C Liu, J Wang, C Liu, N Clinton, P Gong
ISPRS Journal of Photogrammetry and Remote Sensing 185, 146-157, 2022
422022
Forest canopy height extraction in rugged areas with ICESAT/GLAS data
X Wang, H Huang, P Gong, C Liu, C Li, W Li
IEEE Transactions on Geoscience and Remote Sensing 52 (8), 4650-4657, 2013
402013
Mapping vegetation heights in China using slope correction ICESat data, SRTM, MODIS-derived and climate data
H Huang, C Liu, X Wang, GS Biging, Y Chen, J Yang, P Gong
ISPRS Journal of Photogrammetry and Remote Sensing 129, 189-199, 2017
382017
Detecting Land Degradation in Eastern China Grasslands with Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) and GIMMS NDVI3g Data
C Liu, J Melack, Y Tian, H Huang, J Jiang, X Fu, Z Zhang
Remote Sensing 11 (9), 1014, 2019
312019
Water-volume variations of Lake Hulun estimated from serial Jason altimeters and Landsat TM/ETM+ images from 2002 to 2017
C Yuan, P Gong, C Liu, C Ke
International journal of remote sensing 40 (2), 670-692, 2019
272019
Joint use of ICESAT/GLAS and Landsat data in land cover classification: A case study in Henan province, China
C Liu, H Huang, P Gong, X Wang, J Wang, W Li, C Li, Z Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
212014
A pixel-based vegetation greenness trend analysis over the russian tundra with all available landsat data from 1984 to 2018
C Liu, H Huang, F Sun
Remote Sensing 13 (23), 4933, 2021
152021
Constructing a finer-resolution forest height in China using icesat/glas, landsat and Alos Palsar data and height patterns of natural forests and plantations
H Huang, C Liu, X Wang
Remote Sensing 11 (15), 1740, 2019
152019
Re-estimating the changes and ranges of forest biomass carbon in China during the past 40 years
X Zhou, X Lei, C Liu, H Huang, C Zhou, C Peng
Forest Ecosystems 6, 1-18, 2019
142019
Comparison of the hydrological dynamics of Poyang Lake in the wet and dry seasons
F Sun, R Ma, C Liu, B He
Remote Sensing 13 (5), 985, 2021
122021
Correcting the overestimate of forest biomass carbon on the national scale
X Zhou, X Lei, C Peng, W Wang, C Zhou, C Liu, Z Liu
Methods in Ecology and Evolution 7 (4), 447-455, 2016
122016
Integrating multi-source remote sensing to assess forest aboveground biomass in the Khingan mountains of north-eastern China using machine-learning algorithms
X Wang, C Liu, G Lv, J Xu, G Cui
Remote Sensing 14 (4), 1039, 2022
112022
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