The effects of Landsat image acquisition date on winter wheat classification in the North China Plain
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Title
The effects of Landsat image acquisition date on winter wheat classification in the North China Plain
Authors
Keywords
Multi-temporal, Acquisition dates, Effects evaluation, Winter wheat, Landsat
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 187, Issue -, Pages 1-13
Publisher
Elsevier BV
Online
2022-03-05
DOI
10.1016/j.isprsjprs.2022.02.016
References
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Note: Only part of the references are listed.- Regional winter wheat yield estimation based on the WOFOST model and a novel VW-4DEnSRF assimilation algorithm
- (2021) Shangrong Wu et al. REMOTE SENSING OF ENVIRONMENT
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- Feature Comparison and Optimization for 30-M Winter Wheat Mapping Based on Landsat-8 and Sentinel-2 Data Using Random Forest Algorithm
- (2019) Yuanhuizi He et al. Remote Sensing
- Contrasting wheat phenological responses to climate change in global scale
- (2019) Shilong Ren et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Deep learning based winter wheat mapping using statistical data as ground references in Kansas and northern Texas, US
- (2019) Liheng Zhong et al. REMOTE SENSING OF ENVIRONMENT
- Estimating spring frost and its impact on yield across winter wheat in China
- (2018) Liujun Xiao et al. AGRICULTURAL AND FOREST METEOROLOGY
- Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis
- (2018) Mariana Belgiu et al. REMOTE SENSING OF ENVIRONMENT
- A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
- (2018) Pardhasaradhi Teluguntla et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Satellite remote sensing of canopy-forming kelp on a complex coastline: A novel procedure using the Landsat image archive
- (2018) Wiebe Nijland et al. REMOTE SENSING OF ENVIRONMENT
- Winter wheat mapping combining variations before and after estimated heading dates
- (2017) Bingwen Qiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Landsat-based classification in the cloud: An opportunity for a paradigm shift in land cover monitoring
- (2017) G. Azzari et al. REMOTE SENSING OF ENVIRONMENT
- Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data
- (2017) Jian-bin TAO et al. Journal of Integrative Agriculture
- Extending the Pairwise Separability Index for Multicrop Identification Using Time-Series MODIS Images
- (2016) Qiong Hu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
- (2016) Jinwei Dong et al. REMOTE SENSING OF ENVIRONMENT
- Remotely sensed high resolution irrigated area mapping in India for 2000 to 2015
- (2016) Anukesh Krishnankutty Ambika et al. Scientific Data
- Impacts of recent climate warming, cultivar changes, and crop management on winter wheat phenology across the Loess Plateau of China
- (2015) Liang He et al. AGRICULTURAL AND FOREST METEOROLOGY
- Mapping global cropland and field size
- (2015) Steffen Fritz et al. GLOBAL CHANGE BIOLOGY
- Single-Species Detection With Airborne Imaging Spectroscopy Data: A Comparison of Support Vector Techniques
- (2015) Claire A. Baldeck et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA
- (2015) Pengyu Hao et al. Remote Sensing
- Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images
- (2014) Christopher Conrad et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines
- (2013) F. Löw et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Spatiotemporal changes of wheat phenology in China under the effects of temperature, day length and cultivar thermal characteristics
- (2012) Fulu Tao et al. EUROPEAN JOURNAL OF AGRONOMY
- Satellite Image Time Series Analysis Under Time Warping
- (2012) François Petitjean et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Observed changes in winter wheat phenology in the North China Plain for 1981–2009
- (2012) Dengpan Xiao et al. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
- The effect of Landsat ETM/ETM+ image acquisition dates on the detection of agricultural land abandonment in Eastern Europe
- (2012) Alexander V. Prishchepov et al. REMOTE SENSING OF ENVIRONMENT
- Extreme heat effects on wheat senescence in India
- (2012) David B. Lobell et al. Nature Climate Change
- Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
- (2011) Robert Gilmore Pontius et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Conditional Variable Importance for Random Forests
- (2008) Carolin Strobl et al. BMC BIOINFORMATICS
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