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 …

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 …

Early mapping of winter wheat in Henan province of China using time series of Sentinel-2 data

X Huang, J Huang, X Li, Q Shen… - GIScience & Remote …, 2022 - Taylor & Francis
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 …

[HTML][HTML] A 30 m annual maize phenology dataset from 1985 to 2020 in China

Q Niu, X Li, J Huang, H Huang, X Huang… - Earth System …, 2022 - essd.copernicus.org
Crop phenology indicators provide essential information on crop growth phases, which are
highly required for agroecosystem management and yield estimation. Previous crop …

Evaluation of vegetation indexes and green-up date extraction methods on the Tibetan Plateau

J Xu, Y Tang, J Xu, J Chen, K Bai, S Shu, B Yu, J Wu… - Remote Sensing, 2022 - mdpi.com
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 …

[HTML][HTML] Recurrence plots for quantifying the vegetation indices dynamics in a semi-arid grassland

AF Almeida-Ñauñay, RM Benito, M Quemada… - Geoderma, 2022 - Elsevier
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 …

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 …

Integrating remote sensing and meteorological data to predict wheat stripe rust

C Ruan, Y Dong, W Huang, L Huang, H Ye, H Ma… - Remote sensing, 2022 - mdpi.com
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 …

Estimating groundnut yield in smallholder agriculture systems using PlanetScope Data

D Kpienbaareh, K Mohammed, I Luginaah, J Wang… - Land, 2022 - mdpi.com
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 …

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 …