Bibliometric Analysis of Remote Sensing Research Trend in Crop Growth Monitoring: A Case Study in China
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Bibliometric Analysis of Remote Sensing Research Trend in Crop Growth Monitoring: A Case Study in China
Authors
Keywords
-
Journal
Remote Sensing
Volume 11, Issue 7, Pages 809
Publisher
MDPI AG
Online
2019-04-04
DOI
10.3390/rs11070809
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery
- (2017) Xiuliang Jin et al. REMOTE SENSING OF ENVIRONMENT
- Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring
- (2017) Qing-bo ZHOU et al. Journal of Integrative Agriculture
- A Scientometric Visualization Analysis for Night-Time Light Remote Sensing Research from 1991 to 2016
- (2017) Kai Hu et al. Remote Sensing
- Monitoring of Wheat Growth Status and Mapping of Wheat Yield’s within-Field Spatial Variations Using Color Images Acquired from UAV-camera System
- (2017) Mengmeng Du et al. Remote Sensing
- Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
- (2017) Guijun Yang et al. Frontiers in Plant Science
- Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation
- (2016) Jianxi Huang et al. AGRICULTURAL AND FOREST METEOROLOGY
- 1,500 scientists lift the lid on reproducibility
- (2016) Monya Baker NATURE
- Preface: Recent Advances in Remote Sensing for Crop Growth Monitoring
- (2016) Tao Cheng et al. Remote Sensing
- Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
- (2015) Juliane Bendig et al. International Journal of Applied Earth Observation and Geoinformation
- Mapping spatial variability of crop growth conditions using RapidEye data in Northern Ontario, Canada
- (2015) Jiali Shang et al. REMOTE SENSING OF ENVIRONMENT
- Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe
- (2015) Tobias Hank et al. Remote Sensing
- Data assimilation to reduce uncertainty of crop model prediction with Convolution Particle Filtering
- (2014) Yuting Chen et al. ECOLOGICAL MODELLING
- Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements
- (2013) Yuanyuan Fu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- LAI Retrieval Using PROSAIL Model and Optimal Angle Combination of Multi-Angular Data in Wheat
- (2013) Lijuan Wang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Remote sensing-based global crop monitoring: experiences with China's CropWatch system
- (2013) Bingfang Wu et al. International Journal of Digital Earth
- Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis
- (2013) Chaomei Chen et al. Journal of the Association for Information Science and Technology
- Integrating a very fast simulated annealing optimization algorithm for crop leaf area index variational assimilation
- (2012) Yingying Dong et al. MATHEMATICAL AND COMPUTER MODELLING
- Vegetation dynamics from NDVI time series analysis using the wavelet transform
- (2009) Beatriz Martínez et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring winter wheat growth in North China by combining a crop model and remote sensing data
- (2008) Ma Yuping et al. International Journal of Applied Earth Observation and Geoinformation
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now