A dual attention convolutional neural network for crop classification using time-series Sentinel-2 imagery
ST Seydi, M Amani, A Ghorbanian - Remote Sensing, 2022 - mdpi.com
Accurate and timely mapping of crop types and having reliable information about the
cultivation pattern/area play a key role in various applications, including food security and …
cultivation pattern/area play a key role in various applications, including food security and …
Mapping crop types using sentinel-2 data machine learning and monitoring crop phenology with sentinel-1 backscatter time series in pays de Brest, Brittany, France
G Xie, S Niculescu - Remote Sensing, 2022 - mdpi.com
Crop supply and management is a global issue, particularly in the context of global climate
change and rising urbanization. Accurate mapping and monitoring of specific crop types are …
change and rising urbanization. Accurate mapping and monitoring of specific crop types are …
Early mapping of winter wheat in Henan province of China using time series of Sentinel-2 data
Accurate mapping of winter wheat in its early stages is crucial for crop growth monitoring
and crop yield forecasting. However, early mapping of winter wheat using remotely sensed …
and crop yield forecasting. However, early mapping of winter wheat using remotely sensed …
[HTML][HTML] A 30 m annual maize phenology dataset from 1985 to 2020 in China
Crop phenology indicators provide essential information on crop growth phases, which are
highly required for agroecosystem management and yield estimation. Previous crop …
highly required for agroecosystem management and yield estimation. Previous crop …
Evaluation of vegetation indexes and green-up date extraction methods on the Tibetan Plateau
The vegetation green-up date (GUD) of the Tibetan Plateau (TP) is highly sensitive to
climate change. Accurate estimation of GUD is essential for understanding the dynamics …
climate change. Accurate estimation of GUD is essential for understanding the dynamics …
[HTML][HTML] Recurrence plots for quantifying the vegetation indices dynamics in a semi-arid grassland
Abstract Grasslands in the Iberian Peninsula are some of the most valuable ecosystems in
Europe and are vulnerable because of their location in arid-semiarid regions. Remote …
Europe and are vulnerable because of their location in arid-semiarid regions. Remote …
Universal detection of curved rice panicles in complex environments using aerial images and improved YOLOv4 model
B Sun, W Zhou, S Zhu, S Huang, X Yu, Z Wu… - Frontiers in plant …, 2022 - frontiersin.org
Accurate and rapid identification of the effective number of panicles per unit area is crucial
for the assessment of rice yield. As part of agricultural development, manual observation of …
for the assessment of rice yield. As part of agricultural development, manual observation of …
Integrating remote sensing and meteorological data to predict wheat stripe rust
Wheat stripe rust poses a serious threat to wheat production. An effective prediction method
is important for food security. In this study, we developed a prediction model for wheat stripe …
is important for food security. In this study, we developed a prediction model for wheat stripe …
Estimating groundnut yield in smallholder agriculture systems using PlanetScope Data
Crop yield is related to household food security and community resilience, especially in
smallholder agricultural systems. As such, it is crucial to accurately estimate within-season …
smallholder agricultural systems. As such, it is crucial to accurately estimate within-season …
Crop identification based on multi-temporal active and passive remote sensing images
H Zhang, H Yuan, W Du, X Lyu - ISPRS International Journal of Geo …, 2022 - mdpi.com
Although vegetation index time series from optical images are widely used for crop mapping,
it remains difficult to obtain sufficient time-series data because of satellite revisit time and …
it remains difficult to obtain sufficient time-series data because of satellite revisit time and …