Các bài viết có thể truy cập công khai - Meixia DengTìm hiểu thêm
Không có ở bất kỳ nơi nào: 6
Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method
L Liang, L Di, L Zhang, M Deng, Z Qin, S Zhao, H Lin
Remote Sensing of Environment 165, 123-134, 2015
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method
LWZL Liang Liang, Zhihao Qin, Shuhe Zhao, Liping Di, Chao Zhang, Meixia Deng ...
International Journal of Remote Sensing 37 (13), 2923-2949, 2016
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Recent activities in Earth data science [technical committees]
P Yue, R Ramachandran, P Baumann, SJS Khalsa, M Deng, L Jiang
IEEE Geoscience and Remote Sensing Magazine 4 (4), 84-89, 2016
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Regression based corn yield assessment using MODIS based daily NDVI in Iowa state
R Shrestha, L Di, GY Eugene, L Kang, L Li, MS Rahman, M Deng, Z Yang
2016 Fifth International Conference on Agro-Geoinformatics (Agro …, 2016
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Forecasting vegetation index based on vegetation-meteorological factor interactions with artificial neural network
L Kang, L Di, M Deng, E Yu, Y Xu
2016 fifth international conference on agro-geoinformatics (agro …, 2016
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Delivery of agricultural drought information via web services
C Peng, M Deng, L Di, W Han
Earth Science Informatics 8, 527-538, 2015
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Có tại một số nơi: 13
A review of remote sensing in flood assessment
L Lin, L Di, EG Yu, L Kang, R Shrestha, MS Rahman, J Tang, M Deng, ...
2016 Fifth International Conference on Agro-Geoinformatics (Agro …, 2016
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Long‐term spatial and temporal variations of vegetative drought based on vegetation condition index in China
L Liang, Q Sun, X Luo, J Wang, L Zhang, M Deng, L Di, Z Liu
Ecosphere 8 (8), e01919, 2017
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Regular Shape Similarity Index: A Novel Index for Accurate Extraction of Regular Objects From Remote Sensing Images
Z Sun, H Fang, M Deng, A Chen, P Yue, L Di
IEEE Transactions onGeoscience and Remote Sensing 53 (7), 3737 - 3748, 2015
Các cơ quan ủy nhiệm: US Department of Energy, National Natural Science Foundation of China
The effect of corn–soybean rotation on the NDVI-based drought indicators: a case study in Iowa, USA, using Vegetation Condition Index
A Yagci, L Di, M Deng
GIScience & Remote Sensing 52 (3), 290–314, 2015
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Agent-as-a-service-based geospatial service aggregation in the cloud: A case study of flood response
X Tan, L Di, M Deng, F Huang, X Ye, Z Sha, Z Sun, W Gong, Y Shao, ...
Environmental modelling & software 84, 210-225, 2016
Các cơ quan ủy nhiệm: US National Science Foundation, National Natural Science Foundation of China
Cloud-and Agent-Based Geospatial Service Chain: A Case Study of Submerged Crops Analysis During Flooding of the Yangtze River Basin
X Tan, L Di, M Deng, A Chen, F Huang, C Peng, M Gao, Y Yao, Z Sha
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Comparison of selected noise reduction techniques for MODIS daily NDVI: An empirical analysis on corn and soybean
MS Rahman, L Di, R Shrestha, GY Eugene, L Lin, L Kang, M Deng
2016 Fifth International Conference on Agro-Geoinformatics (Agro …, 2016
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Building an elastic parallel OGC web processing service on a cloud-based cluster: A case study of remote sensing data processing service
X Tan, L Di, M Deng, J Fu, G Shao, M Gao, Z Sun, X Ye, Z Sha, B Jin
Sustainability 7 (10), 14245-14258, 2015
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Automation of Customized and Near-Real-Time Vegetation Condition Index Generation Through Cyberinfrastructure-Based Geoprocessing Workflows
Z Sun, C Peng, M Deng, A Chen, P Yue, H Fang, L Di
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
Các cơ quan ủy nhiệm: US Department of Energy, National Natural Science Foundation of China
Parallel agent-as-a-service (p-aaas) based geospatial service in the cloud
X Tan, S Guo, L Di, M Deng, F Huang, X Ye, Z Sun, W Gong, Z Sha, S Pan
Remote Sensing 9 (4), 382, 2017
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
Agent-and cloud-supported geospatial service aggregation for flood response
X Tan, L Di, M Deng, A Chen, Z Sun, C Huang, Y Shao, X Ye
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015
Các cơ quan ủy nhiệm: National Natural Science Foundation of China
A Comparison of Satellite Data-Based Drought Indicators in Detecting the 2012 Drought in the Southeastern US
AL Yagci, JA Santanello, M Rodell, M Deng, L Di
Remote Sensing of Hydrometeorological Hazards, 2018
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
Online parameterization for WOFOST for United States using open geospatial standards
GY Eugene, L Di, L Kang, R Shrestha, MS Rahman, L Lin, M Deng, ...
2016 Fifth International Conference on Agro-Geoinformatics (Agro …, 2016
Các cơ quan ủy nhiệm: US National Aeronautics and Space Administration
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