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Nicholas Clinton
Nicholas Clinton
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Zitiert von
Zitiert von
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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
16962013
Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery
Q Yu, P Gong, N Clinton, G Biging, M Kelly, D Schirokauer
Photogrammetric Engineering & Remote Sensing 72 (7), 799-811, 2006
11112006
Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
P Gong, H Liu, M Zhang, C Li, J Wang, H Huang, N Clinton, L Ji, W Li, ...
Science Bulletin 64 (6), 370-373, 2019
10642019
The global distribution and trajectory of tidal flats
NJ Murray, SR Phinn, M DeWitt, R Ferrari, R Johnston, MB Lyons, ...
Nature 565 (7738), 222-225, 2019
8242019
Accuracy assessment measures for object-based image segmentation goodness
N Clinton, A Holt, J Scarborough, LI Yan, P Gong
Photogramm. Eng. Remote Sens 76 (3), 289-299, 2010
5042010
MODIS detected surface urban heat islands and sinks: Global locations and controls
N Clinton, P Gong
Remote Sensing of Environment 134, 294-304, 2013
4982013
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
4532017
A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform
B Chen, X Xiao, X Li, L Pan, R Doughty, J Ma, J Dong, Y Qin, B Zhao, ...
ISPRS Journal of Photogrammetry and Remote Sensing 131, 104-120, 2017
4372017
Mapping global urban boundaries from the global artificial impervious area (GAIA) data
X Li, P Gong, Y Zhou, J Wang, Y Bai, B Chen, T Hu, Y Xiao, B Xu, J Yang, ...
Environmental Research Letters 15 (9), 094044, 2020
4162020
Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018
P Gong, B Chen, X Li, H Liu, J Wang, Y Bai, J Chen, X Chen, L Fang, ...
Science Bulletin 65 (3), 182-187, 2020
4032020
Prehistoric fire area and emissions from California's forests, woodlands, shrublands, and grasslands
SL Stephens, RE Martin, NE Clinton
Forest Ecology and Management 251 (3), 205-216, 2007
3312007
Rainforest-initiated wet season onset over the southern Amazon
JS Wright, R Fu, JR Worden, S Chakraborty, NE Clinton, C Risi, Y Sun, ...
Proceedings of the National Academy of Sciences 114 (32), 8481-8486, 2017
2712017
A global geospatial ecosystem services estimate of urban agriculture
N Clinton, M Stuhlmacher, A Miles, N Uludere Aragon, M Wagner, ...
Earth's Future 6 (1), 40-60, 2018
2652018
Annual dynamics of global land cover and its long-term changes from 1982 to 2015
H Liu, P Gong, J Wang, N Clinton, Y Bai, S Liang
Earth System Science Data 12 (2), 1217-1243, 2020
2602020
Using Landsat and nighttime lights for supervised pixel-based image classification of urban land cover
R Goldblatt, MF Stuhlmacher, B Tellman, N Clinton, G Hanson, ...
Remote Sensing of Environment 205, 253-275, 2018
2222018
Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods
I Dronova, P Gong, NE Clinton, L Wang, W Fu, S Qi, Y Liu
Remote Sensing of Environment 127, 357-369, 2012
2192012
Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping
W Li, H Fu, L Yu, P Gong, D Feng, C Li, N Clinton
International journal of remote sensing 37 (23), 5632-5646, 2016
1982016
Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine
Q Wu, CR Lane, X Li, K Zhao, Y Zhou, N Clinton, B DeVries, HE Golden, ...
Remote sensing of environment 228, 1-13, 2019
1592019
FROM-GC: 30 m global cropland extent derived through multisource data integration
L Yu, J Wang, N Clinton, Q Xin, L Zhong, Y Chen, P Gong
International Journal of Digital Earth 6 (6), 521-533, 2013
1592013
An artificial neural network model for estimating crop yields using remotely sensed information
D Jiang, X Yang, N Clinton, N Wang
International Journal of Remote Sensing 25 (9), 1723-1732, 2004
1572004
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