Garlic and winter wheat identification based on active and passive satellite imagery and the google earth engine in northern china

H Tian, J Pei, J Huang, X Li, J Wang, B Zhou, Y Qin… - Remote Sensing, 2020 - mdpi.com
Garlic and winter wheat are major economic and grain crops in China, and their boundaries
have increased substantially in recent decades. Updated and accurate garlic and winter …

Early-season mapping of winter wheat in China based on Landsat and Sentinel images

J Dong, Y Fu, J Wang, H Tian, S Fu… - Earth System …, 2020 - essd.copernicus.org
Early-season crop identification is of great importance for monitoring crop growth and
predicting yield for decision makers and private sectors. As one of the largest producers of …

An automated early-season method to map winter wheat using time-series Sentinel-2 data: A case study of Shandong, China

H Zhang, H Du, C Zhang, L Zhang - Computers and Electronics in …, 2021 - Elsevier
Timely and accurate information on winter wheat distribution and planting area is of great
significance to food security, policy-making, and ecological function evaluation. However …

Mapping winter wheat with multi-temporal SAR and optical images in an urban agricultural region

T Zhou, J Pan, P Zhang, S Wei, T Han - Sensors, 2017 - mdpi.com
Winter wheat is the second largest food crop in China. It is important to obtain reliable winter
wheat acreage to guarantee the food security for the most populous country in the world …

Mapping winter wheat with combinations of temporally aggregated Sentinel-2 and Landsat-8 data in Shandong Province, China

F Xu, Z Li, S Zhang, N Huang, Z Quan, W Zhang, X Liu… - Remote Sensing, 2020 - mdpi.com
Winter wheat is one of the major cereal crops in China. The spatial distribution of winter
wheat planting areas is closely related to food security; however, mapping winter wheat with …

[HTML][HTML] AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine

G Yang, W Yu, X Yao, H Zheng, Q Cao, Y Zhu… - International Journal of …, 2021 - Elsevier
Accurate and timely acquisition of crop spatial distribution is a prerequisite for growth
monitoring and yield forecasting. Currently, the automatic acquisition of crop distribution at …

Mapping winter wheat in North China using Sentinel 2A/B data: A method based on phenology-time weighted dynamic time warping

Q Dong, X Chen, J Chen, C Zhang, L Liu, X Cao… - Remote Sensing, 2020 - mdpi.com
Accurate mapping of winter wheat over a large area is of great significance for guiding policy
formulation related to food security, farmland management, and the international food trade …

Monthly composites from Sentinel-1 and Sentinel-2 images for regional major crop mapping with Google Earth Engine

LUO Chong, HJ Liu, L Lu, ZR Liu, FC Kong… - Journal of Integrative …, 2021 - Elsevier
Rapid and accurate access to large-scale, high-resolution crop-type distribution maps is
important for agricultural management and sustainable agricultural development. Due to the …

Improving crop classification accuracy with integrated Sentinel-1 and Sentinel-2 data: a case study of barley and wheat

GR Faqe Ibrahim, A Rasul, H Abdullah - Journal of Geovisualization and …, 2023 - Springer
Crop classification plays a crucial role in ensuring food security, agricultural policy
development, and effective land management. Remote sensing data, particularly Sentinel-1 …

Crop type identification and mapping using machine learning algorithms and sentinel-2 time series data

S Feng, J Zhao, T Liu, H Zhang… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
In this paper, the random forests method and the support vector machine in machine
learning are explored and compared to the traditional statistical-based maximum likelihood …