Results 1 to 10 of about 511 (129)

Burst Misalignment Evaluation for ALOS-2 PALSAR-2 ScanSAR-ScanSAR Interferometry [PDF]

open access: yesRemote Sensing, 2017
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]

open access: yesEarth, Planets and Space, 2020
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

Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)

open access: yesRemote Sensing, 2018
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]

open access: yesRemote Sensing
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]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
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

open access: yesRemote Sensing, 2023
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

Phenology and classification of abandoned agricultural land based on ALOS-1 and 2 PALSAR multi-temporal measurements

open access: yesInternational Journal of Digital Earth, 2017
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+

open access: yesRemote Sensing, 2012
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

A Structural Classification of Australian Vegetation Using ICESat/GLAS, ALOS PALSAR, and Landsat Sensor Data

open access: yesRemote Sensing, 2019
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]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
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

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