A tutorial on synthetic aperture radar

A Moreira, P Prats-Iraola, M Younis… - … and remote sensing …, 2013 - ieeexplore.ieee.org
Synthetic Aperture Radar (SAR) has been widely used for Earth remote sensing for more
than 30 years. It provides high-resolution, day-and-night and weather-independent images …

Radar remote sensing of agricultural canopies: A review

SC Steele-Dunne, H McNairn… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Observations from spaceborne radar contain considerable information about vegetation
dynamics. The ability to extract this information could lead to improved soil moisture …

Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications

A Veloso, S Mermoz, A Bouvet, T Le Toan… - Remote sensing of …, 2017 - Elsevier
Crop monitoring information is essential for food security and to improve our understanding
of the role of agriculture on climate change, among others. Remotely sensing optical and …

A new method for crop classification combining time series of radar images and crop phenology information

D Bargiel - Remote sensing of environment, 2017 - Elsevier
Agricultural land cover is characterized by strong variations within relatively short time
intervals. These dynamics are challenging for land cover classifications on the one hand, but …

Improved early crop type identification by joint use of high temporal resolution SAR and optical image time series

J Inglada, A Vincent, M Arias, C Marais-Sicre - Remote Sensing, 2016 - mdpi.com
High temporal and spatial resolution optical image time series have been proven efficient for
crop type map** at the end of the agricultural season. However, due to cloud cover and …

Large-scale rice map** under different years based on time-series Sentinel-1 images using deep semantic segmentation model

P Wei, D Chai, T Lin, C Tang, M Du, J Huang - ISPRS journal of …, 2021 - Elsevier
Identifying spatial distribution of crop planting in large-scale is one of the most significant
applications of remote sensing imagery. As an active remote sensing system, synthetic …

Efficiency assessment of multitemporal C-band Radarsat-2 intensity and Landsat-8 surface reflectance satellite imagery for crop classification in Ukraine

S Skakun, N Kussul, AY Shelestov… - IEEE Journal of …, 2015 - ieeexplore.ieee.org
Ukraine is one of the most developed agricultural countries in the world. For many
applications, it is extremely important to provide reliable crop maps taking into account …

Satellite-based data fusion crop type classification and map** in Rio Grande do Sul, Brazil

LP Pott, TJC Amado, RA Schwalbert… - ISPRS Journal of …, 2021 - Elsevier
Field-scale crop monitoring is essential for agricultural management and policy making for
food security and sustainability. Automating crop classification process while elaborating a …

Crop classification based on temporal signatures of Sentinel-1 observations over Navarre province, Spain

M Arias, MÁ Campo-Bescós, J Álvarez-Mozos - Remote Sensing, 2020 - mdpi.com
Crop classification provides relevant information for crop management, food security
assurance and agricultural policy design. The availability of Sentinel-1 image time series …

Spatiotemporal analysis and war impact assessment of agricultural land in Ukraine using RS and GIS technology

Y Ma, D Lyu, K Sun, S Li, B Zhu, R Zhao, M Zheng… - Land, 2022 - mdpi.com
Military conflicts are one of the inevitable factors that can cause countries to suffer from food
insecurity due to reduced agricultural productivity, increased food prices, and the …