Mapping Paddy fields in Japan by using a Sentinel-1 SAR time series supplemented by Sentinel-2 images on Google Earth Engine
S Inoue, A Ito, C Yonezawa - Remote Sensing, 2020 - mdpi.com
Paddy fields play very important environmental roles in food security, water resource
management, biodiversity conservation, and climate change. Therefore, reliable broad-scale …
management, biodiversity conservation, and climate change. Therefore, reliable broad-scale …
Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine
Timely and accurate information on crop planting areas is critical for estimating crop
production, and earlier crop mapping can benefit decision-making related to crop insurance …
production, and earlier crop mapping can benefit decision-making related to crop insurance …
Early-and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach
Land cover classification in remote sensing is often faced with the challenge of limited
ground truth labels. Incorporating historical ground information has the potential to …
ground truth labels. Incorporating historical ground information has the potential to …
Rapid early-season maize mapping without crop labels
Maize (Zea mays), the second most-produced crop worldwide, serves as the cornerstone for
global food security and human livelihood. Early-season maize mapping benefits maize …
global food security and human livelihood. Early-season maize mapping benefits maize …
Exploring Google Street View with deep learning for crop type mapping
Ground reference data are an essential prerequisite for supervised crop mapping. The lack
of a low-cost and efficient ground referencing method results in pervasively limited reference …
of a low-cost and efficient ground referencing method results in pervasively limited reference …
Mapping winter crops in China with multi-source satellite imagery and phenology-based algorithm
Timely and accurate mapping of winter crop planting areas in China is important for food
security assessment at a national level. Time-series of vegetation indices, such as the …
security assessment at a national level. Time-series of vegetation indices, such as the …
A deep learning framework for crop mapping with reconstructed Sentinel-2 time series images
F Feng, M Gao, R Liu, S Yao, G Yang - Computers and Electronics in …, 2023 - Elsevier
Timely and accurate access to regional scale crop plant area and spatial distribution is
essential for regional agricultural production and food security, especially in the context of …
essential for regional agricultural production and food security, especially in the context of …
Early season mapping of sugarcane by applying machine learning algorithms to Sentinel-1A/2 time series data: a case study in Zhanjiang City, China
More than 90% of the sugar production in China comes from sugarcane, which is widely
grown in South China. Optical image time series have proven to be efficient for sugarcane …
grown in South China. Optical image time series have proven to be efficient for sugarcane …
Mapping early, middle and late rice extent using sentinel-1A and Landsat-8 data in the poyang lake plain, China
Areas and spatial distribution information of paddy rice are important for managing food
security, water use, and climate change. However, there are many difficulties in mapping …
security, water use, and climate change. However, there are many difficulties in mapping …
A novel method for automatic potato mapping using time series of Sentinel-2 images
D Ashourloo, HS Shahrabi, M Azadbakht… - … and Electronics in …, 2020 - Elsevier
Crop maps produced by remote sensing data play an important role in agricultural crop
studies. Most of the crop mapping methods rely on field samples to train a model, which is a …
studies. Most of the crop mapping methods rely on field samples to train a model, which is a …