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Nicholas Clinton
Nicholas Clinton
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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
16332013
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
10992006
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
9892019
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
7502019
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
4942010
MODIS detected surface urban heat islands and sinks: Global locations and controls
N Clinton, P Gong
Remote Sensing of Environment 134, 294-304, 2013
4682013
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
4282017
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
4162017
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
3422020
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
3322020
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
3192007
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
2632017
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
2492018
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
2312020
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
2132018
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
2092012
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
1932016
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
1542013
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
1542004
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
1432019
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