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Combining Lidar and Synthetic Aperture Radar Data to Estimate Forest Biomass: Status and Prospects

Sanna Kaasalainen, Markus Holopainen, Mika Karjalainen, Mikko Vastaranta, Ville Kankare, Kirsi Karila, Batuhan Osmanoglu
2015 Forests  
AGB data across large areas covered by spaceborne radar missions.  ...  The most promising prospects for combining lidar and radar data are in the use of lidar-derived ground elevations for improving large-area biomass estimates from radar, and in upscaling of lidar-based  ...  The TanDEM-X data was obtained through TanDEM-X pre-operational AO (project No. XTI-VEGE0360). Authors also thank reviewers 1 and 3 for their objective comments.  ... 
doi:10.3390/f6010252 fatcat:nzblpzhgknazretq3irtgklcfi

A review of underlying topography estimation over forest areas by InSAR: Theory, advances, challenges and perspectives

Yan-zhou Xie, Jian-jun Zhu, Hai-qiang Fu, Chang-cheng Wang
2020 Journal of Central South University  
needs to be further addressed for robust underlying topography estimation.  ...  A review of underlying topography estimation over forest areas by InSAR: Theory, advances, challenges and perspectives [J].  ...  QI et al [39, 40] explored the potential synergy of combining TanDEM-X InSAR data and simulated NASA Global Ecosystem Dynamics Investigation (GEDI) LiDAR acquisitions.  ... 
doi:10.1007/s11771-020-4348-4 fatcat:rf4qbqtzrbdrthim6xvhvox7vy

Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping

Carlos Alberto Silva, Laura Duncanson, Steven Hancock, Amy Neuenschwander, Nathan Thomas, Michelle Hofton, Lola Fatoyinbo, Marc Simard, Charles Z. Marshak, John Armston, Scott Lutchke, Ralph Dubayah
2021 Remote Sensing of Environment  
We also gratefully acknowledge Michael Falkowski, Andrew Hudak, Patrick Fakety, Warren Cohen, Hans Anderson, and Luigi Boscetti for provision of the US field and ALS data used to generate  ...  We thank Jim Kellner, Paul Patterson and Sean Healey for helpful input in the development of the ALS AGB models applied here.  ...  with RVoG model and Tandem-X InSAR.  ... 
doi:10.1016/j.rse.2020.112234 fatcat:6hd6dynt35dozc4bl7xkbhbi3q

Regional Tropical Aboveground Biomass Mapping with L-Band Repeat-Pass Interferometric Radar, Sparse Lidar, and Multiscale Superpixels

Charlie Marshak, Marc Simard, Laura Duncanson, Carlos Alberto Silva, Michael Denbina, Tien-Hao Liao, Lola Fatoyinbo, Ghislain Moussavou, John Armston
2020 Remote Sensing  
Airborne and spaceborne L-band radar and full-waveform airborne lidar data are used to simulate the NISAR and GEDI mission, respectively.  ...  First, we partition each study site into low (≤100 Mg/ha) and high (>100 Mg/ha) AGB areas, in conformity with the NISAR mission requirement to provide AGB estimates for forests between 0 and 100 Mg/ha  ...  as Landsat [25, 26] , TanDEM-X [27] [28] [29] , or L-/P-band SAR data [5, 30] .  ... 
doi:10.3390/rs12122048 fatcat:rhuvnccaarel7n7rd3gnnzoo2m

The NASA AfriSAR campaign: Airborne SAR and lidar measurements of tropical forest structure and biomass in support of current and future space missions

Temilola Fatoyinbo, John Armston, Marc Simard, Sassan Saatchi, Michael Denbina, Marco Lavalle, Michelle Hofton, Hao Tang, Suzanne Marselis, Naiara Pinto, Steven Hancock, Brian Hawkins (+19 others)
2021 Remote Sensing of Environment  
Acknowledgements The AfriSAR campaign and data product development was supported by NASA's Earth Science Division of the Science Mission Directorate.  ...  We would also like to thank our collaborators from ESA, DLR, ONERA and CNES for the invitation to participate in the campaign.  ...  This product helps demonstrate the potential of fusing multi-baseline PolInSAR with data from GEDI or other future spaceborne lidar missions.  ... 
doi:10.1016/j.rse.2021.112533 fatcat:zjjfcgditratzbqyzzpjdaddzy

Quantification of selective logging in tropical forest with spaceborne SAR interferometry

Yang Lei, Robert Treuhaft, Michael Keller, Maiza dos-Santos, Fabio Gonçalves, Maxim Neumann
2018 Remote Sensing of Environment  
InSAR missions (e.g., DLR's TanDEM-X and in the future, TanDEM-L).  ...  The InSAR-inverted DI estimates derived from DLR's TanDEM-X time-series data were compared with those measured from a field work over 32 quarterhectare stands at Tapajos with relative RMSE of 30% for DI  ...  Gratitude also goes to the TanDEM-X staff (particularly Thomas Busche and Thomas Fritz) at the German Aerospace Center (DLR) for processing and delivery of the TanDEM-X data and for technical discussions  ... 
doi:10.1016/j.rse.2018.04.009 fatcat:lc5u3jrnljdrnnswvlphnp4uiy

Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+

Anthea L. Mitchell, Ake Rosenqvist, Brice Mora
2017 Carbon Balance and Management  
There has been progress in the capacity to discriminate forest age and growth stage using data fusion methods and LiDAR height metrics.  ...  Improvements in the reliability of mapping methods are anticipated by SAR-optical data fusion and use of very high resolution data.  ...  Improved access to X-band SAR observations from TerraSAR-X, TanDEM-X and COSMO-SkyMed would stimulate research in estimating structural parameters and tracking disturbance.  ... 
doi:10.1186/s13021-017-0078-9 pmid:28417324 pmcid:PMC5393981 fatcat:nyb3rjngp5a4plfs47r75w5y3u

Quantifying Forest Biomass Carbon Stocks From Space

Pedro Rodríguez-Veiga, James Wheeler, Valentin Louis, Kevin Tansey, Heiko Balzter
2017 Current Forestry Reports  
New space-borne sensors to be launched in the coming years will allow accurate measurements of AGB in high biomass forests (>200 t ha −1 ) for the first time across large areas.  ...  Summary These approaches face several challenges: lack of ground data for calibration/validation purposes, signal saturation in high AGB, coverage of the sensor, cloud cover persistence or complex signal  ...  LiDAR profilers will certainly generate key datasets for mapping AGB at large scales and be a realistic solution for the AGB data availability problem.  ... 
doi:10.1007/s40725-017-0052-5 fatcat:3igema6jp5gg7p6n4s336kavfa

A systematic review and meta-analysis of Digital Elevation Model (DEM) fusion: pre-processing, methods and applications [article]

Chukwuma Okolie, Julian Smit
2022 arXiv   pre-print
This review is a timely solution and an invaluable source of information for researchers within the fields of remote sensing and spatial information science, and the data fusion community at large.  ...  However, the special case of 2.5D/3D Digital Elevation Model (DEM) fusion has not been addressed till date. DEM fusion is a key application of data fusion in remote sensing.  ...  with some data arrangement and indexing tasks, CAD designs and graphics.  ... 
arXiv:2203.15026v1 fatcat:rpobo2oxyfhv7olwe2d653dklu

Measurement of Forest Above-Ground Biomass Using Active and Passive Remote Sensing at Large (Subnational to Global) Scales

Richard M. Lucas, Anthea L. Mitchell, John Armston
2015 Current Forestry Reports  
detection and ranging (LiDAR) (airborne and spaceborne) data.  ...  Further improvements in estimates are anticipated with the launch of new spaceborne LiDAR and SAR that have been specifically designed for better retrieval of forest structure and AGB.  ...  InSAR height models retrieved using TanDEM-X data with a reference LiDAR DTM enabled the AGB of a spruce forest in southeast Norway to be estimated with an RMSE of ∼44 % (plot level) and ∼20 % (stand level  ... 
doi:10.1007/s40725-015-0021-9 fatcat:w6le4hl3incjdo3ahvbeyoxv3a

The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation

Francesco Banda, Davide Giudici, Thuy Le Le Toan, Mauro Mariotti Mariotti d'Alessandro, Kostas Papathanassiou, Shaun Quegan, Guido Riembauer, Klaus Scipal, Maciej Soja, Stefano Tebaldini, Lars Ulander, Ludovic Villard
2020 Remote Sensing  
BIOMASS is ESA's seventh Earth Explorer mission, scheduled for launch in 2022.  ...  For AGB estimation based on data from a single heading, comparison with reference data yields relative Root Mean Square Difference (RMSD) values mostly between 20% and 30%.  ...  tests and data preparation, Jerome Chave, Nicolas Labriere (EDB) and Sassan Saatchi (NASA) for providing LiDAR data and for consultancy on the project.  ... 
doi:10.3390/rs12060985 fatcat:b7twens7cvdipi2m732pchk3f4

2021 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14

2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, JSTARS 2021 2173-2183 Eigenvalues and eigenfunctions Forest Height Estimation by Means of TanDEM-X InSAR and Waveform Lidar Data.  ...  ., +, JSTARS 2021 364-376 Deep Learning in Forest Structural Parameter Estimation Using Airborne LiDAR Data.  ... 
doi:10.1109/jstars.2022.3143012 fatcat:dnetkulbyvdyne7zxlblmek2qy

An Effective Method for InSAR Mapping of Tropical Forest Degradation in Hilly Areas

Harry Carstairs, Edward T. A. Mitchard, Iain McNicol, Chiara Aquino, Andrew Burt, Médard Obiang Ebanega, Anaick Modinga Dikongo, José-Luis Bueso-Bello, Mathias Disney
2022 Remote Sensing  
TanDEM-X InSAR phase height (hϕ) is a promising variable for measuring forest disturbances, as it is closely related to the mean canopy height, and thus should decrease if canopy trees are removed.  ...  This shows that TanDEM-X InSAR can measure the magnitude of degradation, and that topographic effects can be mitigated if data from multiple SAR viewing geometries are available.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/rs14030452 fatcat:jlujgfws2zdmvktb4fws6xe5bu

Table of Contents

2021 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS  
AND GEDI DATA FUSION FOR A CONTINUOUS FOREST HEIGHT ..........................  ...  , Leonardo Santurri, CNR-IFAC, Italy; Francesca Cigna, Deodato Tapete, Italian Space Agency (ASI), Italy WE1.O-1: TANDEM-X: MISSION STATUS AND SCIENCE PERSPECTIVEWE1.O-1.1: TANDEM-X: MISSION AND SCIENCE  ... 
doi:10.1109/igarss47720.2021.9553380 fatcat:zm7sioez6vgblpj25frkkxtfc4

Remote sensing for the Spanish forests in the 21st century: a review of advances, needs and opportunities

Cristina Gómez, Pablo Alejandro, Txomin Hermosilla, Fernando Montes, Cristina Pascual, Luis Angel Ruiz, Flor Álvarez-Taboada, Mihai Tanase, Ruben Valbuena
2019 Forest Systems  
Currently, wall-to-wall optical and LiDAR data are extensively used for a wide range of applications—many times in combination—whilst radar or hyperspectral data are rarely used in the analysis of Spanish  ...  Unmanned Aerial Vehicles (UAVs) carrying visible and infrared sensors are gaining ground in acquisition of data locally and at small scale, particularly for health assessments.  ...  Acknowledgments We thank the reviewers and editor for their thorough work and contributions to the final manuscript version.  ... 
doi:10.5424/fs/2019281-14221 fatcat:fzxqm3g2aza6tj45lrzvk4flza
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