Results 1 to 10 of about 23,883,761 (195)

A Three-Hierarchy Evaluation of Polarimetric Performance of GF-3, Compared with ALOS-2/PALSAR-2 and RADARSAT-2 [PDF]

Sensors, 2019
GaoFen-3 (GF-3) is the first Chinese civilian multi-polarization synthetic aperture radar (SAR) satellite, launched on 10 August of 2016, and put into operation at the end of January 2017.
Zezhong Wang, Jian Jiao, Qiming Zeng, Junyi Liu   +3 more
doaj   +3 more sources

Moving Target Indication via RADARSAT-2 Multichannel Synthetic Aperture Radar Processing [PDF]

EURASIP Journal on Advances in Signal Processing, 2010
With the recent launches of the German TerraSAR-X and the Canadian RADARSAT-2, both equipped with phased array antennas and multiple receiver channels, synthetic aperture radar, ground moving target indication (SAR-GMTI) data are now routinely being ...
Dragošević MV, Chiu S
doaj   +3 more sources

Dryland Crop Classification Combining Multitype Features and Multitemporal Quad-Polarimetric RADARSAT-2 Imagery in Hebei Plain, China [PDF]

Sensors, 2021
The accuracy of dryland crop classification using satellite-based synthetic aperture radar (SAR) data is often unsatisfactory owing to the similar dielectric properties that exist between the crops and their surroundings. The main objective of this study
Di Wang, Chang-An Liu, Yan Zeng, Tian Tian, Zheng Sun   +4 more
doaj   +2 more sources

ADVANCEMENTS IN ESTIMATING CROP GROWTH STAGES USING RADARSAT-2 AND TERRASAR-X POLARIMETRIC DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
This paper uses RADARSAT-2 quad Polarimetric Synthetic Aperture Radar (PolSAR) and TerraSAR-X dual polarimetric SAR data to monitor agriculture crop growth stages.
G. Lampropoulos, Y. Li, T. Liu
doaj   +2 more sources

Moving to the RADARSAT Constellation Mission: Comparing Synthesized Compact Polarimetry and Dual Polarimetry Data with Fully Polarimetric RADARSAT-2 Data for Image Classification of Peatlands

Remote Sensing, 2017
For this research, the Random Forest (RF) classifier was used to evaluate the potential of simulated RADARSAT Constellation Mission (RCM) data for mapping landcover within peatlands. Alfred Bog, a large peatland complex in Southern Ontario, was used as a
Koreen Millard, Lori White, Murray C Richardson   +2 more
exaly   +3 more sources

Seasat to Radarsat-2: Research to Operations [PDF]

Oceanography, 2013
In 2013, the National Oceanic and Atmospheric Administration (NOAA) brought to operations a synthetic aperture radar (SAR)-derived subkilometer resolution wind speed product.
William G. Pichel, Christopher R. Jackson, Frank M. Monaldo   +2 more
doaj   +3 more sources

Quantitative Assessment for Detection and Monitoring of Coastline Dynamics with Temporal RADARSAT Images

Remote Sensing, 2018
This study aims to detect coastline changes using temporal synthetic aperture radar (SAR) images for the state of Kelantan, Malaysia. Two active images, namely, RADARSAT-1 captured in 2003 and RADARSAT-2 captured in 2014, were used to monitor such ...
Biswajeet Pradhan, Hossein Mojaddadi Rizeei, Abdinur Abdulle Ahmed   +2 more
exaly   +3 more sources

Mid-season Crop Classification Using Dual-, Compact-, and Full-Polarization in Preparation for the Radarsat Constellation Mission (RCM)

Remote Sensing, 2019
Despite recent research on the potential of dual- (DP) and full-polarimetry (FP) Synthetic Aperture Radar (SAR) data for crop mapping, the capability of compact polarimetry (CP) SAR data has not yet been thoroughly investigated.
Mohammad Rezaee, Saeid Homayouni, Masoud Mahdianpari   +2 more
exaly   +3 more sources

Integrating Multi-Scale Remote-Sensing Data to Monitor Severe Forest Infestation in Response to Pine Wilt Disease

Remote Sensing, 2022
Pine wilt disease (PWD) is one of the most destructive forest diseases that has led to rapid wilting and mortality in susceptible host pine trees. Spatially explicit detection of pine wood nematode (PWN)-induced infestation is important for forest ...
Xiujuan Li, Yongxin Liu, Pingping Huang, Tong Tong, Linyuan Li, Yuejuan Chen, Ting Hou, Yun Su, Xiaoqi Lv, Wenxue Fu, Xiaojun Huang   +10 more
doaj   +1 more source

Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network

Remote Sensing, 2020
Annual crop inventory information is important for many agriculture applications and government statistics. The synergistic use of multi-temporal polarimetric synthetic aperture radar (SAR) and available multispectral remote sensing data can reduce the ...
Chunhua Liao, Jinfei Wang, Qinghua Xie, Ayman Al Baz, Xiaodong Huang, Jiali Shang, Yongjun He   +6 more
doaj   +1 more source