A tutorial on synthetic aperture radar
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
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
Field-scale crop monitoring is essential for agricultural management and policy making for
food security and sustainability. Automating crop classification process while elaborating a …
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
Crop classification provides relevant information for crop management, food security
assurance and agricultural policy design. The availability of Sentinel-1 image time series …
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 …
insecurity due to reduced agricultural productivity, increased food prices, and the …