Smallholder maize area and yield mapping at national scales with Google Earth Engine
Accurate measurements of maize yields at field or subfield scales are useful for guiding
agronomic practices and investments and policies for improving food security. Data on …
agronomic practices and investments and policies for improving food security. Data on …
Collaborative filtering of correlated noise: Exact transform-domain variance for improved shrinkage and patch matching
Collaborative filters perform denoising through transform-domain shrinkage of a group of
similar patches extracted from an image. Existing collaborative filters of stationary correlated …
similar patches extracted from an image. Existing collaborative filters of stationary correlated …
Multi-modal temporal attention models for crop mapping from satellite time series
Optical and radar satellite time series are synergetic: optical images contain rich spectral
information, while C-band radar captures useful geometrical information and is immune to …
information, while C-band radar captures useful geometrical information and is immune to …
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 …
predicting yield for decision makers and private sectors. As one of the largest producers of …
Satellite mapping of tillage practices in the North Central US region from 2005 to 2016
Low-intensity tillage has become more popular among farmers in the United States and
many other regions. However, accurate data on when and where low-intensity tillage …
many other regions. However, accurate data on when and where low-intensity tillage …
A CNN-based self-supervised synthetic aperture radar image denoising approach
Synthetic aperture radar (SAR) plays an essential role in earth observation and projection
due to its capability to penetrate clouds, which makes it possible to monitor terrestrial …
due to its capability to penetrate clouds, which makes it possible to monitor terrestrial …
Combining multispectral and radar imagery with machine learning techniques to map intertidal habitats for migratory shorebirds
Migratory shorebirds are notable consumers of benthic invertebrates on intertidal sediments.
The distribution and abundance of shorebirds will strongly depend on their prey and on …
The distribution and abundance of shorebirds will strongly depend on their prey and on …
Development of a phenology-based method for identifying sugarcane plantation areas in China using high-resolution satellite datasets
Sugarcane is an important sugar and biofuel crop with high socio-economic importance, and
its planted area has increased rapidly in recent years. China is the world's third or fourth …
its planted area has increased rapidly in recent years. China is the world's third or fourth …
Migrating rivers, consequent paleochannels: The unlikely partners and hotspots of flooding
Furious floods have become an omnipresent reality with the dawn of climate change and its
transition to adulthood. Since climate change has now become an accepted reality …
transition to adulthood. Since climate change has now become an accepted reality …
[HTML][HTML] Exploring the effects of training samples on the accuracy of crop mapping with machine learning algorithm
Y Fu, R Shen, C Song, J Dong, W Han, T Ye… - Science of Remote …, 2023 - Elsevier
Abstract Machine learning algorithms are a frequently used crop classification method and
have been applied to identify the distribution of various crops over regional and national …
have been applied to identify the distribution of various crops over regional and national …