Use of multifrequency (C‐band and L‐band) SAR data to monitor peat subsidence based on time‐series SBAS InSAR technique
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Use of multifrequency (C‐band and L‐band)
SAR
data to monitor peat subsidence based on time‐series
SBAS InSAR
technique
Authors
Keywords
-
Journal
LAND DEGRADATION & DEVELOPMENT
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-08-10
DOI
10.1002/ldr.4061
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Validating InSAR-SBAS results by means of different GNSS analysis techniques in medium- and high-grade deformation areas
- (2020) Sefa Yalvac ENVIRONMENTAL MONITORING AND ASSESSMENT
- RFI Artefacts Detection in Sentinel-1 Level-1 SLC Data Based On Image Processing Techniques
- (2020) Agnieszka Chojka et al. SENSORS
- Widespread subsidence and carbon emissions across Southeast Asian peatlands
- (2020) Alison M. Hoyt et al. Nature Geoscience
- A comparison of multi temporal interferometry techniques for landslide susceptibility assessment in urban area: an example on stigliano (MT), a town of Southern of Italy
- (2019) Annamaria Vicari et al. Geomatics Natural Hazards & Risk
- Policies affecting the implementation of REDD+ in Indonesia (cases in Papua, Riau and Central Kalimantan)
- (2019) Sulistya Ekawati et al. FOREST POLICY AND ECONOMICS
- Demonstration of Time-Series InSAR Processing in Beijing Using a Small Stack of Gaofen-3 Differential Interferograms
- (2019) Jili Wang et al. Journal of Sensors
- On the Analysis of the Phase Unwrapping Process in a D-InSAR Stack with Special Focus on the Estimation of a Motion Model
- (2019) Christina Esch et al. Remote Sensing
- InSAR Time Series Analysis of L-Band Data for Understanding Tropical Peatland Degradation and Restoration
- (2019) Zhiwei Zhou et al. Remote Sensing
- Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction
- (2019) Zhang Yunjun et al. COMPUTERS & GEOSCIENCES
- Peatland subsidence and vegetation cover degradation as impacts of the 2015 El niño event revealed by Sentinel-1A SAR data
- (2019) Mokhamad Yusup Nur Khakim et al. International Journal of Applied Earth Observation and Geoinformation
- Monitoring tropical peat related settlement using ISBAS InSAR, Kuala Lumpur International Airport (KLIA)
- (2018) Chris Marshall et al. ENGINEERING GEOLOGY
- Long-Term Peatland Condition Assessment via Surface Motion Monitoring Using the ISBAS DInSAR Technique over the Flow Country, Scotland
- (2018) Lubna Alshammari et al. Remote Sensing
- Rates and spatial variability of peat subsidence in Acacia plantation and forest landscapes in Sumatra, Indonesia
- (2018) Chris D. Evans et al. GEODERMA
- The degree of peatland subsidence resulting from drainage of land
- (2017) Antoni Grzywna Environmental Earth Sciences
- Satellite radar interferometry for monitoring subsidence induced by longwall mining activity using Radarsat-2, Sentinel-1 and ALOS-2 data
- (2017) Alex Hay-Man Ng et al. International Journal of Applied Earth Observation and Geoinformation
- Soil carbon dioxide emissions from a rubber plantation on tropical peat
- (2017) Nur Wakhid et al. SCIENCE OF THE TOTAL ENVIRONMENT
- InSAR validation based on GNSS measurements in Bucharest
- (2016) Iuliana Armaş et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Time series analysis of InSAR data: Methods and trends
- (2016) Batuhan Osmanoğlu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Modeling relationships between water table depth and peat soil carbon loss in Southeast Asian plantations
- (2015) Kimberly M Carlson et al. Environmental Research Letters
- Potential for larger earthquakes in the East San Francisco Bay Area due to the direct connection between the Hayward and Calaveras Faults
- (2015) E. Chaussard et al. GEOPHYSICAL RESEARCH LETTERS
- Global vulnerability of peatlands to fire and carbon loss
- (2015) Merritt R. Turetsky et al. Nature Geoscience
- Evaluation of DEM generation based on Interferometric SAR using TanDEM-X data in Tokyo
- (2015) Ram Avtar et al. PHYSICS AND CHEMISTRY OF THE EARTH
- Natural Forest Biomass Estimation Based on Plantation Information Using PALSAR Data
- (2014) Ram Avtar et al. PLoS One
- CO2 emissions from tropical drained peat in Sumatra, Indonesia
- (2014) Husnain Husnain et al. Mitigation and Adaptation Strategies for Global Change
- Carbon dioxide emissions through oxidative peat decomposition on a burnt tropical peatland
- (2013) Takashi Hirano et al. GLOBAL CHANGE BIOLOGY
- DEM Error Correction in InSAR Time Series
- (2013) Heresh Fattahi et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Root- and peat-based CO2 emissions from oil palm plantations
- (2013) Ai Dariah et al. Mitigation and Adaptation Strategies for Global Change
- A global standard for monitoring coastal wetland vulnerability to accelerated sea-level rise
- (2013) Edward L. Webb et al. Nature Climate Change
- Seasonal changes in peatland surface elevation recorded at GPS stations in the Red Lake Peatlands, northern Minnesota, USA
- (2013) A. S. Reeve et al. Journal of Geophysical Research-Biogeosciences
- Role of remote sensing and community forestry to manage forests for the effective implementation of REDD+ mechanism: a case study on Cambodia
- (2013) Ram Avtar et al. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
- Systematic InSAR tropospheric phase delay corrections from global meteorological reanalysis data
- (2011) R. Jolivet et al. GEOPHYSICAL RESEARCH LETTERS
- Global and regional importance of the tropical peatland carbon pool
- (2010) SUSAN E. PAGE et al. GLOBAL CHANGE BIOLOGY
- Decorrelation of L-Band and C-Band Interferometry Over Vegetated Areas in California
- (2010) Meng Wei et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Determination of the amount of carbon stored in Indonesian peatlands
- (2008) J. Jaenicke et al. GEODERMA
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search