Results 1 to 10 of about 4,808 (217)

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   +4 more sources

Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007–2016 [PDF]

open access: yesRemote Sensing of Environment, 2019
Abstract Advanced Land Observing Satellite (ALOS) Phased Arrayed L-band Synthetic Aperture Radar (PALSAR) HH and HV polarization data were used previously to produce annual, global 25 m forest maps between 2007 and 2010, and the latest global forest maps of 2015 and 2016 were produced by using the ALOS-2 PALSAR-2 data.
Yihang Zhang, Feng Ling, Giles M Foody
exaly   +4 more sources

Time-series maps of aboveground biomass in dipterocarps forests of Malaysia from PALSAR and PALSAR-2 polarimetric data [PDF]

open access: yesCarbon Balance and Management, 2018
Background Malaysia typically suffers from frequent cloud cover, hindering spatially consistent reporting of deforestation and forest degradation, which limits the accurate reporting of carbon loss and CO2 emissions for reducing emission from ...
Hamdan Omar, Muhamad Afizzul Misman
doaj   +4 more sources

ALOS PALSAR products verification [PDF]

open access: yes2007 IEEE International Geoscience and Remote Sensing Symposium, 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. An important contribution to the ALOS mission is the verification of PALSAR products to be distributed by the European ADEN node using the PALSAR processor developed by JAXA.
Börner, Thomas   +9 more
openaire   +3 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

Mapping Deciduous Rubber Plantation Areas and Stand Ages with PALSAR and Landsat Images

open access: yesRemote Sensing, 2015
Accurate and updated finer resolution maps of rubber plantations and stand ages are needed to understand and assess the impacts of rubber plantations on regional ecosystem processes.
Weili Kou   +2 more
exaly   +3 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

Radar Analysis Approach to Assess the Status of Hydromorphotectonic Changes in Central Iran(Yazd Ardakan Plain) [PDF]

open access: yesمخاطرات محیط طبیعی, 2020
The phenomenon of the subsidence of the Earth is called the downward movement of the Earth's surface, which is not easily identifiable and quantifiable due to its slow evolution.
Sedigheh Emami   +2 more
doaj   +1 more source

Comparison of Digital Elevation Models for the designing water reservoirs: a case study Pskom water reservoir [PDF]

open access: yesE3S Web of Conferences, 2021
This study investigates the accuracy of various DEMs (SRTM DEM, ASTER GDEM, and ALOS PALSAR DEM) for the area of the designing Pskom water reservoir (recommended to construction in Pskom River, in Tashkent region.
Khasanov Khojiakbar, Ahmedov Azamat
doaj   +1 more source

Inversion of Soil Salinity Using Multisource Remote Sensing Data and Particle Swarm Machine Learning Models in Keriya Oasis, Northwestern China

open access: yesRemote Sensing, 2022
Soil salinization is a global problem that damages soil ecology and affects agricultural development. Timely management and monitoring of soil salinity are essential to achieve the most sustainable development goals in arid and semi-arid regions.
Qinyu Wei   +3 more
doaj   +1 more source

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