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Crop Biomass Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data.

L. He, R. Wang, G. Mostovoy, J. Liu, J. Chen, J. Shang, J. Liu, H. McNairn, and J. Powers. Remote. Sens., 13 (4): 806 (2021)

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Li Shang

Huiping Shang

Heping Shang

Xiaolei Shang

Dongkai Shangguan

Other publications of authors with the same name

UAV- and Machine Learning-Based Retrieval of Wheat SPAD Values at the Overwintering Stage for Variety Screening.J. Wang, Q. Zhou, J. Shang, C. Liu, T. Zhuang, J. Ding, Y. Xian, L. Zhao, W. Wang, G. Zhou and 2 other author(s). Remote. Sens., 13 (24): 5166 (2021)A New Regionalization Scheme for Effective Ecological Restoration on the Loess Plateau in China.P. Chen, J. Shang, B. Qian, Q. Jing, and J. Liu. Remote. Sens., 9 (12): 1323 (2017)Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results.R. Magagi, A. Berg, K. Goita, S. Belair, T. Jackson, B. Toth, A. Walker, H. McNairn, P. O'Neill, M. Moghaddam and 12 other author(s). IEEE Trans. Geosci. Remote. Sens., 51 (1): 347-363 (2013)An Adaptive Two-Component Model-Based Decomposition on Soil Moisture Estimation for C-Band RADARSAT-2 Imagery Over Wheat Fields at Early Growing Stages.X. Huang, J. Wang, and J. Shang. IEEE Geosci. Remote. Sens. Lett., 13 (3): 414-418 (2016)Evaluation of Chlorophyll-Related Vegetation Indices Using Simulated Sentinel-2 Data for Estimation of Crop Fraction of Absorbed Photosynthetically Active Radiation.T. Dong, J. Meng, J. Shang, J. Liu, and B. Wu. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (8): 4049-4059 (2015)Improving Soil Available Nutrient Estimation by Integrating Modified WOFOST Model and Time-Series Earth Observations.Z. Cheng, J. Meng, J. Shang, J. Liu, Y. Qiao, B. Qian, Q. Jing, and T. Dong. IEEE Trans. Geosci. Remote. Sens., 57 (5): 2896-2908 (2019)Retrieving Soil Moisture Over Soybean Fields During Growing Season Through Polarimetric Decomposition.T. Xiao, M. Xing, B. He, J. Wang, J. Shang, X. Huang, and X. Ni. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions.C. Liao, J. Wang, I. Pritchard, J. Liu, and J. Shang. Remote Sensing, 9 (11): 1125 (2017)Assessing the Impact of Climate Variability on Cropland Productivity in the Canadian Prairies Using Time Series MODIS FAPAR.T. Dong, J. Liu, J. Shang, B. Qian, T. Huffman, Y. Zhang, C. Champagne, and B. Daneshfar. Remote Sensing, 8 (4): 281 (2016)Field-Scale Rice Yield Estimation Using Sentinel-1A Synthetic Aperture Radar (SAR) Data in Coastal Saline Region of Jiangsu Province, China.J. Wang, Q. Dai, J. Shang, X. Jin, Q. Sun, G. Zhou, and Q. Dai. Remote Sensing, 11 (19): 2274 (2019)

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Disambiguation of "Shang, Jiali"

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Crop Biomass Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data.

Please choose a person to relate this publication to

Li Shang

Huiping Shang

Heping Shang

Xiaolei Shang

Dongkai Shangguan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shang, Jiali"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Crop Biomass Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data.

Please choose a person to relate this publication to

Li Shang

Huiping Shang

Heping Shang

Xiaolei Shang

Dongkai Shangguan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Crop Biomass Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data.