Results 51 to 60 of about 768,879 (180)

Do data from the RISMA soil monitoring network support agricultural modeling requirements?

Vadose Zone Journal, Volume 25, Issue 4, July/August 2026.
Abstract The Real‐Time In‐Situ Soil Monitoring for Agriculture (RISMA) network provides soil water and agri‐environmental data for conceptualization, calibration, and validation of remote sensing and modeling products for Canadian agriculture at 32 stations in seven watersheds in Saskatchewan, Manitoba, and Ontario.
Kayla R. Moore, Taras Lychuk, Naeem Abbasi, Aston Chipanshi, Ward Smith, Brian Grant, David Lapen, René Morissette, Stephane Belair, Heather McNairn   +9 more
wiley   +1 more source

Simultaneous Generation of Topographic Models and Manning Roughness Coefficient Maps From Tri‐Stereoscopic Satellite Images: Application to the Huarmey River, Peru

The Photogrammetric Record, Volume 41, Issue 195, July‐September 2026.
Tri‐stereoscopic PeruSat‐1 imagery enables the simultaneous generation of 0.70 m‐resolution topography and spatially distributed Manning roughness maps, achieving 0.434 m vertical accuracy. Integrated into HEC‐RAS, these products provide consistent, high‐resolution inputs that improve hydraulic modelling and flood risk assessment in data‐scarce river ...
Jorge L. Miranda‐Pita, Pedro A. Plaza‐Álvarez, Jorge Lopez‐Rebollo, Diego González‐Aguilera   +3 more
wiley   +1 more source

Crop Classification Using Multi-Temporal RADARSAT Constellation Mission Compact Polarimetry SAR Data

Canadian Journal of Remote Sensing
The RADARSAT Constellation Mission (RCM) Compact Polarimetry (CP) data has become a key asset in crop mapping and monitoring for diverse agricultural landscapes. This study utilizes the unique capabilities of the RCM CP data for crop mapping. It performs
Ramin Farhadiani, Saeid Homayouni, Avik Bhattacharya, Masoud Mahdianpari   +3 more
doaj   +1 more source

SAR Backscatter and InSAR Coherence for Monitoring Wetland Extent, Flood Pulse and Vegetation: A Study of the Amazon Lowland

Remote Sensing, 2019
Synthetic aperture radar (SAR) data have been identified as a potential source of information for monitoring surface water, including open water and flooded vegetation, in frequent time intervals, which is very significant for flood mapping applications.
Francis Canisius, Brian Brisco, Kevin Murnaghan, Marco Van Der Kooij, Edwin Keizer   +4 more
doaj   +1 more source

Improved Tropical Cyclone Wind Estimation Using Dual‐Polarization C‐Band SAR and Machine Learning

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Tropical cyclones (TCs) characterized by extreme wind speeds present severe hazards to human life and infrastructure. Spaceborne synthetic aperture radar (SAR) has emerged as a critical observational tool for TCs, owing to its all‐weather, high‐resolution imaging capabilities.
Chaogang Guo, Weihua Ai, Xianbin Zhao, Zhancai Liu, Hongwei Yang, Jiajia Tang   +5 more
wiley   +1 more source

An Assessment of Simulated Compact Polarimetric SAR Data for Wetland Classification Using Random Forest Algorithm

Canadian Journal of Remote Sensing, 2017
Synthetic aperture radar (SAR) compact polarimetry (CP) systems are of great interest for large area monitoring because of their ability to acquire data in a wider swath compared to full polarimetry (FP) systems and a significant improvement in ...
Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh, Brian Brisco   +3 more
doaj   +1 more source

Observation and Coordination Needs for Current, Near‐Future, and Next Generation Earth‐Observing SAR Systems

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract This paper summarizes an evaluation by experts of how coordination of Earth‐observing Synthetic Aperture Radar (SAR) missions among the world's space agencies could advance toward game‐changing scientific discoveries and fully realizing SAR's practical capability to address many issues facing society.
Cathleen E. Jones, Ake Rosenqvist, Björn Rommen, Magdalena Fitrzyk, Eric Rignot, Bernd Scheuchl, Yujie Zheng, Andrew Hooper, Mark Simons, Tomokazu Kobayashi, Paul Siqueira, Maurizio Santoro, Takeo Tadono, Laura Hess, Heather McNairn, Laura Frulla, Malin Johansson, Wolfgang Dierking, Line Rouyet, Annett Bartsch, Paco Lopez Dekker, Johnny A. Johannessen   +21 more
wiley   +1 more source

Region-Based Sea Ice Mapping Using Compact Polarimetric Synthetic Aperture Radar Imagery with Learned Features and Contextual Information

Remote Sensing, 2023
Operational sea ice maps are usually generated manually using dual-polarization (DP) synthetic aperture radar (SAR) satellite imagery, but there is strong interest in automating this process.
Saeid Taleghanidoozdoozan, Linlin Xu, David A. Clausi   +2 more
doaj   +1 more source

Urban flood mapping using Sentinel-1 and RADARSAT Constellation Mission image and Convolutional Siamese Network

Natural Hazards, 2022
Abstract Urban floods can affect people's lives and properties, therefore, urban flood mapping is crucial for reliable risk assessment and the development of effective mitigation strategies. With the advent of high spatial and temporal resolution satellite images, remote sensing has become popular for urban flood mapping.
Nafiseh Ghasemian Sorboni, Jinfei Wang, Mohammad Reza Najafi   +2 more
openaire   +1 more source

Interlinked Dynamics of Rice Cultivation Intensity and Ground Subsidence: Spatio‐Temporal Insights Into Water Resource Implications From Multi‐Year Spaceborne SAR Analysis

Water Resources Research, Volume 62, Issue 4, April 2026.
Abstract Sustainable rice cultivation is vital to meet global food demands, particularly in regions relying on groundwater for irrigation. Over‐pumping, however, can cause significant ground subsidence, threatening both infrastructure and agricultural sustainability.
Ya‐Lun S. Tsai, Xun‐Yan Liu
wiley   +1 more source