Results 1 to 10 of about 24,575,784 (165)

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   +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) [PDF]

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 ...
Dieu Tien Bui   +2 more
exaly   +4 more sources

Evaluation of the Trend of Deformation around the Kanto Region Estimated Using the Time Series of PALSAR-2 Data [PDF]

open access: yesSensors, 2020
In the Kanto region of Japan, a large quantity of natural gas is dissolved in brine. The large-scale production of gas and iodine in the region has caused large-scale land subsidence in the past.
Takashi Nonaka   +3 more
doaj   +2 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   +2 more sources

Combination of Sentinel-2 and PALSAR-2 for Local Climate Zone Classification: A Case Study of Nanchang, China

open access: yesRemote Sensing, 2021
Local climate zone (LCZ) maps have been used widely to study urban structures and urban heat islands. Because remote sensing data enable automated LCZ mapping on a large scale, there is a need to evaluate how well remote sensing resources can produce ...
Chaomin Chen   +4 more
doaj   +2 more sources

High Spatial Resolution Ensemble Species Distribution Modeling of <i>Rhodnius prolixus</i>, Vector of Chagas Disease, in Western Venezuela. [PDF]

open access: yesGeohealth
Abstract Rhodnius prolixus is the most common and abundant kissing bug found in Royal and other native palms from western Venezuela. R. prolixus is a dominant vector of Trypanosoma cruzi, the parasite causing Chagas disease. Here we use species distribution models (SDMs) to estimate habitat suitability for R. prolixus.
Gao Y, Añez N, Chaves LF.
europepmc   +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.
Wayne S. Walker, Oliver Cartus
exaly   +3 more sources

The applicability assessment of Sentinel-1 data in InSAR monitoring of the deformed slopes of reservoir in the mountains of southwest China: A case study in the Xiluodu Reservoir

open access: yesDizhi lixue xuebao, 2022
Sentinel satellite is widely used in deformed slope identification and monitoring due to its high resolution, stable orbit system, large coverage capacity, short repetition time, and free data download.
LI Lingjing   +3 more
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

Synthetic Aperture Radar Flood Detection under Multiple Modes and Multiple Orbit Conditions: A Case Study in Japan on Typhoon Hagibis, 2019

open access: yesRemote Sensing, 2020
Flood detection using a spaceborne synthetic aperture radar (SAR) has become a powerful tool for organizing disaster responses. The detection accuracy is increased by accumulating pre-event observations, whereas applying multiple observation modes ...
Ryo Natsuaki, Hiroto Nagai
doaj   +1 more source

Home - About - Disclaimer - Privacy