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Forest Structure Retrieval from Multi-Baseline SARs [chapter]

Stefano Tebaldini
2012 Remote Sensing of Biomass - Principles and Applications  
Both 2D and 3D SAR imaging data may be regarded as specializations to the SAR case of the more general concept of Diffraction Tomography, widely exploited in seismic processing (5).  ...  As such, 3D focusing is analogous to the basic formulation of SAR Tomography (T-SAR), in which no particular assumption is adopted to describe the imaged scene (6).  ...  Forest Structure Retrieval from Multi-Baseline SARs, Remote Sensing of Biomass -Principles and Applications, Dr.  ... 
doi:10.5772/18650 fatcat:qdbno634ezapjjb3ityfov7ktu

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  
The main focus in combining lidar-radar forest remote sensing has been on the retrieval of the aboveground biomass (AGB), which is a primary variable related to carbon cycle in land ecosystems, and has  ...  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  ...  Mika Karjalainen and Batuhan Osmanoglu contributed to the writing and references, especially to parts related to SAR and radargrammetry.  ... 
doi:10.3390/f6010252 fatcat:nzblpzhgknazretq3irtgklcfi

Monitoring Tropical Forest Structure Using SAR Tomography at L- and P-Band

Ibrahim El Moussawi, Dinh Ho Tong Minh, Nicolas Baghdadi, Chadi Abdallah, Jalal Jomaah, Olivier Strauss, Marco Lavalle, Yen-Nhi Ngo
2019 Remote Sensing  
the tropical forest structure parameters for enhanced forest management and to support biomass missions.  ...  After that, the SAR and LiDAR three-dimensional (3D) datasets are compared and discussed at a qualitative basis at the region of interest.  ...  Acknowledgments: The authors would like to acknowledge the National Aeronautics and Space Administration (NASA) for providing the UAVSAR data, LVIS LiDAR data, and Small FootPrint LiDAR SFL data.  ... 
doi:10.3390/rs11161934 fatcat:5bw2gphpwfhobnaco23hlpwgvu

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  
and support of the AfriSAR airborne and field campaigns in Gabon.  ...  Acknowledgements The AfriSAR campaign and data product development was supported by NASA's Earth Science Division of the Science Mission Directorate.  ...  The primary aim of the AfriSAR campaign was to collect ground, airborne SAR and airborne Lidar data for the development and evaluation of forest structure and AGBD retrieval algorithms and GEDI, NISAR  ... 
doi:10.1016/j.rse.2021.112533 fatcat:zjjfcgditratzbqyzzpjdaddzy

Forest biomass mapping from lidar and radar synergies

Guoqing Sun, K. Jon Ranson, Z. Guo, Z. Zhang, P. Montesano, D. Kimes
2011 Remote Sensing of Environment  
The use of lidar and radar instruments to measure forest structure attributes such as height and biomass at global scales is being considered for a future Earth Observation satellite mission, DESDynI (  ...  In this study, several issues in this respect were investigated using aircraft borne lidar and SAR data in Howland, Maine, USA.  ...  This presents a special case for lidar and radar data fusion for mapping forest biomass and other structural parameters globally.  ... 
doi:10.1016/j.rse.2011.03.021 fatcat:57eke32ymnalxoryol6hb62kmi

Canopy Height and Above-Ground Biomass Retrieval in Tropical Forests Using Multi-Pass X- and C-Band Pol-InSAR Data

Berninger, Lohberger, Zhang, Siegert
2019 Remote Sensing  
The present study showed that Pol-InSAR data from TS-X and RS-2 could be used together with field inventories and high-resolution data such as drone or LiDAR data to support the carbon accounting in the  ...  context of REDD+ (Reducing Emissions from Deforestation and Forest Degradation) projects.  ...  Acknowledgments: We would like to thank the World Wildlife Fund (WWF) for providing the 2011 LiDAR data.  ... 
doi:10.3390/rs11182105 fatcat:hmnhcvnuwfbifhyhgpqwgwgkpm

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges

Tien Pham, Naoto Yokoya, Dieu Bui, Kunihiko Yoshino, Daniel Friess
2019 Remote Sensing  
A wide range of studies is based on optical imagery (aerial photography, multispectral, and hyperspectral) and synthetic aperture radar (SAR) data.  ...  Additionally, some aspects of the mangrove ecosystem remain poorly characterized compared to other forest ecosystems due to practical difficulties in measuring and monitoring mangrove biomass and their  ...  SAR interferometry (Pol-InSAR) data.  ... 
doi:10.3390/rs11030230 fatcat:xgxftojh5vdfhgkpqcwehgbkwa

Advances in Information Extraction of Surface Parameters Using Tomographic SAR

Zhen LI, Ping ZHANG, Haiwei QIAO, Changjun ZHAO, Jianmin ZHOU, Lei HUANG
2021 Journal of Radars  
With the advancement of SAR system and its processing technology, tomographic SAR systems obtain multiple data along the height direction to construct the high-dimensional synthetic aperture, and use array  ...  Further, the application potential and existing problems related to the vegetation height with canopy structure, glacier thickness with internal structure, snow thickness with stratification, and urban  ...  L- and P-band 3-D SAR reflectivity profiles versus lidar waveforms: The AfriSAR case[J].  ... 
doi:10.12000/jr20095 doaj:41872b827cfc4257907dacd6705ebe4b fatcat:pgntfn3lmvc2ba66atnsgk7exe

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., and Foerster, S  ...  ., +, JSTARS Nov. 2014 4385-4392 Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park.  ...  ., +, JSTARS May 2014 1729-1744 + Check author entry for coauthors Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

Quantifying Forest Biomass Carbon Stocks From Space

Pedro Rodríguez-Veiga, James Wheeler, Valentin Louis, Kevin Tansey, Heiko Balzter
2017 Current Forestry Reports  
protect and enhance forest carbon stocks.  ...  retrieval due to topography.  ...  This type of approach relates AGB field observations to airborne LiDAR data, and then calibrates the parameter retrieval from spaceborne sensors using those LiDAR datasets.  ... 
doi:10.1007/s40725-017-0052-5 fatcat:3igema6jp5gg7p6n4s336kavfa

2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12

2019 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., and Lopez, J.F  ...  ., +, JSTARS Feb. 2019 471-481 Estimation of Forest Structural Parameters Using UAV-LiDAR Data and a Process-Based Model in Ginkgo Planted Forests.  ...  Sun, Y., +, JSTARS Nov. 2019 4415-4425 Estimation of Forest Structural Parameters Using UAV-LiDAR Data and a Process-Based Model in Ginkgo Planted Forests.  ... 
doi:10.1109/jstars.2020.2973794 fatcat:sncrozq3fjg4bgjf4lnkslbz3u

Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity—Part II: Geomorphology, Terrain and Surfaces

Angela Lausch, Michael E. Schaepman, Andrew K. Skidmore, Sina C. Truckenbrodt, Jörg M. Hacker, Jussi Baade, Lutz Bannehr, Erik Borg, Jan Bumberger, Peter Dietrich, Cornelia Gläßer, Dagmar Haase (+23 others)
2020 Remote Sensing  
Furthermore, data products and RS technologies that could be used in the future for monitoring geomorphology are introduced.  ...  , air- and spaceborne RS technologies, geomorphic traits, and data science approaches as crucial components for a better understanding of the geomorphic impacts on complex ecosystems.  ...  Analogous to UAV-based LiDAR data, TLS data capture vertical structures enabling the delineation of 3D features beyond DSMs or DEMs.  ... 
doi:10.3390/rs12223690 fatcat:tlzccauqivacbcskrygfonuxni

A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

Dengsheng Lu, Qi Chen, Guangxing Wang, Lijuan Liu, Guiying Li, Emilio Moran
2014 International Journal of Digital Earth  
LIght Detection and Ranging (lidar) can remove data saturation, but limited availability of lidar data prevents its extensive application.  ...  More research is needed to extract a vertical vegetation structure (e.g. canopy height) from interferometry synthetic aperture radar (InSAR) or optical stereo images to incorporate it into horizontal structures  ...  Cycling in Forest Ecosystems and Carbon Sequestration at Zhejiang A&F University, and the Center for Global Change and Earth Observations at Michigan State University.  ... 
doi:10.1080/17538947.2014.990526 fatcat:bkc3syq3pfgzxkawig2pog7i3y

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  
The second approach exploits EO sensors with known sensitivity to forest structure and biomass and discusses monitoring efforts using repeat LiDAR and SAR data.  ...  Interferometric SAR and LiDAR have found new application in linking forest structure change to degradation in tropical forests.  ...  Hoekman (WUR) and S. Lohberger are greatly appreciated. Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1186/s13021-017-0078-9 pmid:28417324 pmcid:PMC5393981 fatcat:nyb3rjngp5a4plfs47r75w5y3u

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
., and Drake, V.A., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674  ...  and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging  ...  Generation of Large-Scale Moderate-Resolution Forest Height Mosaic With Spaceborne Repeat-Pass SAR Interferometry and Lidar.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
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