Results 1 to 10 of about 511 (129)
Burst Misalignment Evaluation for ALOS-2 PALSAR-2 ScanSAR-ScanSAR Interferometry [PDF]
This paper reports the validation results of burst misalignment for ScanSAR-ScanSAR interferometry of the Phased Array-type L-band Synthetic Aperture Radar-2 (PALSAR-2) aboard the Advanced Land Observing Satellite-2 (ALOS-2, “DAICHI-2”).
Ryo Natsuaki +3 more
doaj +2 more sources
Postseismic deformation following the 2016 Kumamoto earthquake detected by ALOS-2/PALSAR-2 [PDF]
I have been conducting a study of postseismic deformation following the 2016 Kumamoto earthquake using ALOS-2/PALSAR-2 acquired till 2018. I apply ionospheric correction to interferograms of ALOS-2/PALSAR-2.
Manabu Hashimoto
doaj +2 more sources
The main objective of this research is to investigate the potential combination of Sentinel-2A and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite -2 Phased Array type L-band Synthetic Aperture Radar-2) imagery for improving the accuracy of the ...
Sasan Vafaei +2 more
exaly +3 more sources
Polarimetric Measures in Biomass Change Prediction Using ALOS-2 PALSAR-2 Data [PDF]
The use of multiple synthetic aperture radar polarizations can improve biomass estimations compared to using a single polarization. In this study, we compared predictions of aboveground biomass change from ALOS-2 PALSAR-2 backscatter using linear ...
Henrik J. Persson, Ivan Huuva
doaj +2 more sources
Leveraging ALOS-2 PALSAR-2 for Mapping Built-Up Areas and Assessing Their Vertical Component [PDF]
Built-up areas extraction and characterization from remote sensing images is essential for monitoring urbanization and the associated challenges. This work presents a novel integrated classification framework building on the symbolic machine learning ...
Christina Corbane +6 more
doaj +2 more sources
Detecting Urban Floods with Small and Large Scale Analysis of ALOS-2/PALSAR-2 Data
When a large-scale flood disaster occurs, it is important to identify the flood areas in a short time in order to effectively support the affected areas afterwards. Synthetic Aperture Radar (SAR) is promising for flood detection.
Hideomi Gokon +2 more
doaj +2 more sources
Agricultural crop abandonment negatively impacts local economy and environment since land, as a resource for agriculture, is not optimally utilized. To take necessary actions to rehabilitate abandoned agricultural lands, the identification of the spatial
Farrah Melissa Muharam +2 more
exaly +2 more sources
Mapping Canopy Height and Growing Stock Volume Using Airborne Lidar, ALOS PALSAR and Landsat ETM+
We have investigated for forest plantations in Chile the stand-level retrieval of canopy height (CH) and growing stock volume (GSV) using Airborne Laser Scanner (ALS), ALOS PALSAR and Landsat.
Oliver Cartus +2 more
exaly +3 more sources
Australia has historically used structural descriptors of height and cover to characterize, differentiate, and map the distribution of woody vegetation across the continent but no national satellite-based structural classification has been available.
Peter Scarth +2 more
exaly +3 more sources
STANDWISE CHANGE DETECTION FOR GROWING STOCK USING REPEAT-PASS ALOS PALSAR / PALSAR-2 DATA [PDF]
This study demonstrates the possibility of detecting the changes of growing stocks in mountainous forest stands derived from ALOS PALSAR and PALSAR-2 images.
M. –G. Hong, C. Kim
doaj +1 more source

