Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation
Authors
Keywords
-
Journal
Remote Sensing
Volume 11, Issue 3, Pages 268
Publisher
MDPI AG
Online
2019-01-30
DOI
10.3390/rs11030268
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A review of data assimilation of remote sensing and crop models
- (2018) Xiuliang Jin et al. EUROPEAN JOURNAL OF AGRONOMY
- Rice crop phenology mapping at high spatial and temporal resolution using downscaled MODIS time-series
- (2018) Alex O. Onojeghuo et al. GIScience & Remote Sensing
- Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data
- (2018) Yi Chen et al. EUROPEAN JOURNAL OF AGRONOMY
- Evaluation of regional estimates of winter wheat yield by assimilating three remotely sensed reflectance datasets into the coupled WOFOST–PROSAIL model
- (2018) Jianxi Huang et al. EUROPEAN JOURNAL OF AGRONOMY
- Regional scale mapping of fractional rice cropping change using a phenology-based temporal mixture analysis
- (2018) Zhenhuan Liu et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A multiple crop model ensemble for improving broad-scale yield prediction using Bayesian model averaging
- (2017) Xiao Huang et al. FIELD CROPS RESEARCH
- Improving Winter Wheat Yield Estimation from the CERES-Wheat Model to Assimilate Leaf Area Index with Different Assimilation Methods and Spatio-Temporal Scales
- (2017) He Li et al. Remote Sensing
- 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
- Detection of rice phenology through time series analysis of ground-based spectral index data
- (2016) Hengbiao Zheng et al. FIELD CROPS RESEARCH
- Quantitative assessment of the contribution of climate variability and human activity to streamflow alteration in Dongting Lake, China
- (2016) Yujie Yuan et al. HYDROLOGICAL PROCESSES
- Improving Spring Maize Yield Estimation at Field Scale by Assimilating Time-Series HJ-1 CCD Data into the WOFOST Model Using a New Method with Fast Algorithms
- (2016) Zhiqiang Cheng et al. Remote Sensing
- Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model
- (2015) Jianxi Huang et al. AGRICULTURAL AND FOREST METEOROLOGY
- The dynamic simulation of rice growth parameters under cadmium stress with the assimilation of multi-period spectral indices and crop model
- (2015) Feng Liu et al. FIELD CROPS RESEARCH
- Jointly Assimilating MODIS LAI and ET Products Into the SWAP Model for Winter Wheat Yield Estimation
- (2015) Jianxi Huang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in rice
- (2015) Ming Jin et al. International Journal of Applied Earth Observation and Geoinformation
- Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms
- (2015) Jinwei Dong et al. REMOTE SENSING OF ENVIRONMENT
- Assimilating remote sensing information with crop model using Ensemble Kalman Filter for improving LAI monitoring and yield estimation
- (2013) Yanxia Zhao et al. ECOLOGICAL MODELLING
- The assimilation of spectral sensing and the WOFOST model for the dynamic simulation of cadmium accumulation in rice tissues
- (2013) Ling Wu et al. International Journal of Applied Earth Observation and Geoinformation
- Remote Sensing Based Detection of Crop Phenology for Agricultural Zones in China Using a New Threshold Method
- (2013) Xingzhi You et al. Remote Sensing
- Detection and estimation of mixed paddy rice cropping patterns with MODIS data
- (2010) Dailiang Peng et al. International Journal of Applied Earth Observation and Geoinformation
- A comparison of MODIS 250-m EVI and NDVI data for crop mapping: a case study for southwest Kansas
- (2010) Brian D. Wardlow et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search