A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images
出版年份 2022 全文链接
标题
A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images
作者
关键词
-
出版物
REMOTE SENSING OF ENVIRONMENT
Volume 280, Issue -, Pages 113206
出版商
Elsevier BV
发表日期
2022-08-04
DOI
10.1016/j.rse.2022.113206
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Automatic Cotton Mapping Using Time Series of Sentinel-2 Images
- (2021) Nan Wang et al. Remote Sensing
- Two shifts for crop mapping: Leveraging aggregate crop statistics to improve satellite-based maps in new regions
- (2021) Dan M. Kluger et al. REMOTE SENSING OF ENVIRONMENT
- Generating Up-to-Date Crop Maps Optimized for Sentinel-2 Imagery in Israel
- (2021) Keren Goldberg et al. Remote Sensing
- Towards interpreting multi-temporal deep learning models in crop mapping
- (2021) Jinfan Xu et al. REMOTE SENSING OF ENVIRONMENT
- Mapping soybean planting area in midwest Brazil with remotely sensed images and phenology-based algorithm using the Google Earth Engine platform
- (2020) Carlos Antonio da Silva Junior et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A robust spectral-spatial approach to identifying heterogeneous crops using remote sensing imagery with high spectral and spatial resolutions
- (2020) Ji Zhao et al. REMOTE SENSING OF ENVIRONMENT
- Introducing APiC for regionalised land cover mapping on the national scale using Sentinel-2A imagery
- (2020) Sebastian Preidl et al. REMOTE SENSING OF ENVIRONMENT
- Mapping Winter Wheat in North China Using Sentinel 2A/B Data: A Method Based on Phenology-Time Weighted Dynamic Time Warping
- (2020) Qi Dong et al. Remote Sensing
- Partitioned Relief-F Method for Dimensionality Reduction of Hyperspectral Images
- (2020) Jiansi Ren et al. Remote Sensing
- Crop Mapping Using Random Forest and Particle Swarm Optimization based on Multi-Temporal Sentinel-2
- (2020) Elahe Akbari et al. Remote Sensing
- A novel method for automatic potato mapping using time series of Sentinel-2 images
- (2020) Davoud Ashourloo et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Accessing the temporal and spectral features in crop type mapping using multi-temporal Sentinel-2 imagery: A case study of Yi’an County, Heilongjiang province, China
- (2020) Hongyan Zhang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Automatic silage maize detection based on phenological rules using Sentinel-2 time-series dataset
- (2020) Hamid Salehi Shahrabi et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2
- (2020) Michele Meroni et al. REMOTE SENSING OF ENVIRONMENT
- Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques
- (2019) Sherrie Wang et al. REMOTE SENSING OF ENVIRONMENT
- Crop type classification using a combination of optical and radar remote sensing data: a review
- (2019) Aiym Orynbaikyzy et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Developing an Automatic Phenology-Based Algorithm for Rice Detection Using Sentinel-2 Time-Series Data
- (2019) Amir Moeini Rad et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Worldwide Research Trends on Wheat and Barley: A Bibliometric Comparative Analysis
- (2019) Patricia Giraldo et al. Agronomy-Basel
- Crop Type Identification and Mapping Using Machine Learning Algorithms and Sentinel-2 Time Series Data
- (2019) Siwen Feng et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Automatic canola mapping using time series of sentinel 2 images
- (2019) Davoud Ashourloo et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- 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
- Winter Wheat Mapping Based on Sentinel-2 Data in Heterogeneous Planting Conditions
- (2019) Dongyan Zhang et al. Remote Sensing
- A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
- (2018) Yaping Cai et al. REMOTE SENSING OF ENVIRONMENT
- A Novel Approach for Mapping Wheat Areas Using High Resolution Sentinel-2 Images
- (2018) Ali Nasrallah et al. SENSORS
- A Novel Automatic Method for Alfalfa Mapping Using Time Series of Landsat-8 OLI Data
- (2018) Davoud Ashourloo et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping
- (2018) Patrick Griffiths et al. REMOTE SENSING OF ENVIRONMENT
- Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
- (2017) Jun Xiong et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model
- (2017) Sergii Skakun et al. REMOTE SENSING OF ENVIRONMENT
- Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery
- (2017) Feng Gao et al. REMOTE SENSING OF ENVIRONMENT
- In-Season Crop Mapping with GF-1/WFV Data by Combining Object-Based Image Analysis and Random Forest
- (2017) Qian Song et al. Remote Sensing
- Automated mapping of soybean and corn using phenology
- (2016) Liheng Zhong et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Evaluating the sequential masking classification approach for improving crop discrimination in the Sudanian Savanna of West Africa
- (2015) Gerald Forkuor et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A scalable satellite-based crop yield mapper
- (2015) David B. Lobell et al. REMOTE SENSING OF ENVIRONMENT
- 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
- Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery
- (2013) Liheng Zhong et al. REMOTE SENSING OF ENVIRONMENT
- An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States
- (2013) David M. Johnson REMOTE SENSING OF ENVIRONMENT
- Impact of Reducing Polarimetric SAR Input on the Uncertainty of Crop Classifications Based on the Random Forests Algorithm
- (2012) Lien Loosvelt et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery
- (2012) Xin Huang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Object-based crop identification using multiple vegetation indices, textural features and crop phenology
- (2011) José M. Peña-Barragán et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
- (2011) Claire Boryan et al. Geocarto International
- Crop classification by support vector machine with intelligently selected training data for an operational application
- (2008) Ajay Mathur 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.
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