Results 51 to 60 of about 17,654,855 (215)

ESTIMATING ABOVEGROUND BIOMASS OF BAMBOO AND MIXED BAMBOO FOREST IN THUA THIEN-HUE PROVINCE, VIET NAM USING PALSAR-2 AND LANDSAT OLI DATA [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
In this study, above-ground biomass (AGB) performance was evaluated by PALSAR-2 L-band and Landsat data for bamboo and mixed bamboo forest. The linear regression model was chosen and validated for forest biomass estimation in A Luoi district, Thua Thien ...
T. T. Cat Tuong   +4 more
doaj   +1 more source

Land Subsidence Susceptibility Mapping in Semi‐Arid Regions Using PS‐InSAR and Tree‐Based Ensemble Machine Learning: A Case Study From Çumra, Türkiye

open access: yesTransactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Land subsidence is an increasing environmental hazard in semi‐arid agricultural basins where intensive groundwater abstraction, compressible geological units, and expanding land‐use pressures interact. This study presents a PS‐InSAR and machine‐learning‐based framework for land subsidence susceptibility mapping in the Çumra District of the ...
Burhan Baha Bilgilioğlu
wiley   +1 more source

ALOS PALSAR Products Verification

open access: yes, 2007
ALOS, an enhanced successor of the Japanese Earth Resources Satellite 1 (JERS-1), was launched from JAXA’s Tanegashima Space Center in January 2006. ALOS operates from a sun-synchronous orbit at 691 km, with a 46-day recurrence cycle carrying a payload ...
K.P. Papathanassiou   +19 more
core   +1 more source

Monitoring of Soil Salinization in the Keriya Oasis Based on Deep Learning with PALSAR-2 and Landsat-8 Datasets

open access: yes, 2022
Currently, soil salinization is one of the main forms of land degradation and desertification. Soil salinization not only seriously restricts the development of agriculture and the economy, but also poses a threat to the ecological environment.
Adilai Abulaiti   +4 more
core   +1 more source

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

open access: yesEarth 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   +21 more
wiley   +1 more source

Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images [PDF]

open access: yes2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
A first evaluation of ALOS PALSAR data for forest stem volume estimation has been performed at a coniferous dominated test site in Sweden. In total, 7 Fine Beam Single polarization (FBS, look angle 34.3deg, HH-polarization) and 7 Polarimetric (PLR, look angle 21.5deg, HH-, HV-, VH-, and W- polarization) SAR images were used.
Johan E. S. Fransson   +9 more
openaire   +2 more sources

Nine‐Year L‐Band InSAR Time Series of Tectonic and Non‐Tectonic Surface Deformation in Northern California

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.
Abstract This study evaluates the performance of ALOS‐2 ScanSAR time series for resolving tectonic, volcanic, hydrologic, and geomorphic deformation across Northern California. Beginning in 2021, ALOS‐2 acquired ScanSAR data with a 14‐day repeat interval over the region, providing the closest available analog to the recently launched NISAR mission. The
D. Lindsay   +3 more
wiley   +1 more source

Mapping oil palm extent in Malaysia using ALOS-2 PALSAR-2 data

open access: yes, 2017
The extent of oil palm plantations has increased rapidly in Malaysia over the past few decades. To evaluate ecological effects and economic values, it is important to produce an accurate oil palm map for Malaysia.
Yidi Xu   +15 more
core   +1 more source

Extreme Learning Machine-based Crop Classification using ALOS/PALSAR Images [PDF]

open access: yes, 2015
Classification maps are required for agricultural management and the estimation of agricultural disaster compensation. The extreme learning machine (ELM), a newly developed single hidden layer neural network is used as a supervised classifier for remote ...
Kobayashi, Nobuyuki   +4 more
core   +1 more source

SAR-Based Flood Monitoring for Flatland with Frequently Fluctuating Water Surfaces: Proposal for the Normalized Backscatter Amplitude Difference Index (NoBADI)

open access: yesRemote Sensing, 2021
Space-based synthetic aperture radar (SAR) is a powerful tool for monitoring flood conditions over large areas without the influence of clouds and daylight.
Hiroto Nagai, Takahiro Abe, Masato Ohki
doaj   +1 more source

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