Crop type classification using a combination of optical and radar remote sensing data: A review
Reliable and accurate crop classification maps are an important data source for agricultural
monitoring and food security assessment studies. For many years, crop type classification …
monitoring and food security assessment studies. For many years, crop type classification …
Remote sensing-based estimation of rice yields using various models: A critical review
DMG dela Torre, J Gao… - Geo-Spatial Information …, 2021 - Taylor & Francis
Reliable estimation of region-wide rice yield is vital for food security and agricultural
management. Field-scale models have increased our understanding of rice yield and its …
management. Field-scale models have increased our understanding of rice yield and its …
Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images
Abstract The Local Climate Zone (LCZ) scheme is a classification system providing a
standardization framework to present the characteristics of urban forms and functions …
standardization framework to present the characteristics of urban forms and functions …
Comparative assessment of various machine learning‐based bias correction methods for numerical weather prediction model forecasts of extreme air temperatures in …
Forecasts of maximum and minimum air temperatures are essential to mitigate the damage
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …
of extreme weather events such as heat waves and tropical nights. The Numerical Weather …
Monitoring agriculture areas with satellite images and deep learning
Agriculture applications rely on accurate land monitoring, especially paddy areas, for timely
food security control and support actions. However, traditional monitoring requires field …
food security control and support actions. However, traditional monitoring requires field …
[HTML][HTML] A robust index to extract paddy fields in cloudy regions from SAR time series
Timely and accurate map** of paddy rice cultivation is needed for maintaining sustainable
rice production, ensuring food security, and monitoring water usage. Synthetic Aperture …
rice production, ensuring food security, and monitoring water usage. Synthetic Aperture …
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia
Indonesia recently implemented a novel, technology-driven approach for conducting
agricultural production surveys, which involves monthly observations at many thousands of …
agricultural production surveys, which involves monthly observations at many thousands of …
Map** paddy rice using Sentinel-1 SAR time series in Camargue, France
This study proposes an effective method to map rice crops using the Sentinel-1 SAR
(Synthetic Aperture Radar) time series over the Camargue region, Southern France. First …
(Synthetic Aperture Radar) time series over the Camargue region, Southern France. First …
Map** paddy rice with satellite remote sensing: A review
R Zhao, Y Li, M Ma - Sustainability, 2021 - mdpi.com
Paddy rice is a staple food of three billion people in the world. Timely and accurate
estimation of the paddy rice planting area and paddy rice yield can provide valuable …
estimation of the paddy rice planting area and paddy rice yield can provide valuable …
Map** paddy rice using a convolutional neural network (CNN) with Landsat 8 datasets in the Dongting Lake Area, China
M Zhang, H Lin, G Wang, H Sun, J Fu - Remote Sensing, 2018 - mdpi.com
Rice is one of the world's major staple foods, especially in China. Highly accurate monitoring
on rice-producing land is, therefore, crucial for assessing food supplies and productivity …
on rice-producing land is, therefore, crucial for assessing food supplies and productivity …