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Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

Iftikhar Ali, Felix Greifeneder, Jelena Stamenkovic, Maxim Neumann, Claudia Notarnicola
2015 Remote Sensing  
) from remote sensing data using machine learning methods.  ...  The enormous increase of remote sensing data from airborne and space-borne platforms, as well as ground measurements has directed the attention of scientists towards new and efficient retrieval methodologies  ...  Soil moisture can be retrieved correctly from C-band SAR data by using the neural networks technique [122] .  ... 
doi:10.3390/rs71215841 fatcat:jiktp2klrzfffbzdf2ozbbk2ke

Forest parameter retrieval from SAR data using an estimation algorithm applied to regrowing forest stands in Queensland, Australia

D. Clewley, R. M. Lucas, M. Moghaddam, Pete Bunting, J. Dwyer, J. Carreiras
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
This research has demonstrated the potential of using a non-linear estimation algorithm for retrieving structural attributes, from which biomass might be estimated, as an alternative.  ...  From the retrieved structural attributes, biomass can be estimated using allometric relationships.  ... 
doi:10.1109/igarss.2010.5652883 dblp:conf/igarss/ClewleyLMBDC10 fatcat:e7inifsoa5d2deyyzhdwlc57ly

Biomass retrieval algorithm based on P-band biosar experiments of boreal forest

Lars M.H. Ulander, Gustaf Sandberg, Maciej J. Soja
2011 2011 IEEE International Geoscience and Remote Sensing Symposium  
A new biomass retrieval algorithm based on P-band multipolarization backscatter has been developed and evaluated based on SAR and ground data over boreal forest.  ...  The developed model is a significant step towards an algorithm which gives consistent results across multiple sites and dates, i.e. when forest structure, topography and moisture conditions is expected  ...  RETRIEVAL ALGORITHMS In the past, a number of algorithms have been proposed and evaluated for forest biomass retrieval from P-band SAR data.  ... 
doi:10.1109/igarss.2011.6050168 dblp:conf/igarss/UlanderSS11 fatcat:wotiw4efxnacbclztqbtz2t6gm

Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations

Maurizio Santoro, Oliver Cartus
2018 Remote Sensing  
data used and retrieval models.  ...  The increased availability of free and open SAR observations from currently orbiting and forthcoming spaceborne SAR missions will foster studies on forest biomass retrieval.  ...  Acknowledgments: The work presented in this paper was carried out in the frame of the ESA project "Information content of multispectral SAR data", Contract No. 4000115192.  ... 
doi:10.3390/rs10040608 fatcat:wlv2fd7wgbgzjnrsdcc2hw4u6e

Characterization of Vegetation and Soil Scattering Mechanisms across Different Biomes using P-band SAR Polarimetry [article]

Seyed Hamed Alemohammad, Alexandra G. Konings, Thomas Jagdhuber, Mahta Moghaddam, Dara Entekhabi
2017 arXiv   pre-print
and for the design of geophysical retrieval algorithms.  ...  In this study, a quantitative analysis of vegetation and soil scattering mechanisms estimated from the observations of an airborne P-band SAR instrument across nine different biomes in North America is  ...  Acknowledgment Authors wish to thank members of the AirMOSS science team for their inputs and constructive feedbacks on different parts of this research.  ... 
arXiv:1611.02729v2 fatcat:vi5vvm3idjggli45a5n7gsebm4

Characterization of vegetation and soil scattering mechanisms across different biomes using P-band SAR polarimetry

Seyed Hamed Alemohammad, Alexandra G. Konings, Thomas Jagdhuber, Mahta Moghaddam, Dara Entekhabi
2018 Remote Sensing of Environment  
and for the design of geophysical retrieval algorithms.  ...  In this study, a quantitative analysis of vegetation and soil scattering mechanisms estimated from the observations of an airborne P-band SAR instrument across nine different biomes in North America is  ...  Acknowledgment Authors wish to thank members of the AirMOSS science team for their inputs and constructive feedbacks on different parts of this research.  ... 
doi:10.1016/j.rse.2018.02.032 fatcat:n5avcunoi5cm7iyuqfyj74nemi

The Role of Time-Series L-Band SAR and GEDI in Mapping Sub-Tropical Above-Ground Biomass

Unmesh Khati, Marco Lavalle, Gulab Singh
2021 Frontiers in Earth Science  
Physics-based algorithms estimating large-scale forest above-ground biomass (AGB) from synthetic aperture radar (SAR) data generally use airborne laser scanning (ALS) or grid of national forest inventory  ...  Changes in precipitation and soil moisture affect the AGB retrieval accuracy from individual acquisitions; however, using multitemporal data, these effects are mitigated.  ...  ACKNOWLEDGMENTS The authors thank the NISAR Project and Algorithm Definition Team (ADT) for providing the InSAR Scientific Computing Environment (ISCE3) software that was used for coregistering and radiometric  ... 
doi:10.3389/feart.2021.752254 fatcat:fllxoelennci3hiwi7h223kwji

Front Matter: Volume 9877

2016 Land Surface and Cryosphere Remote Sensing III  
using a Base 36 numbering system employing both numerals and letters.  ...  Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model.  ...  surface soil moisture (SSM) retrieval algorithm using multi-temporal RISAT-1 C-band SAR data [9877-39] 9877 0Y A synergistic approach for soil moisture estimation using modified Dubois model with  ... 
doi:10.1117/12.2244908 fatcat:nnhdcs4fkvgl5a34fn4l3bdaqm

Research advances of SAR remote sensing for agriculture applications: A review

Chang-an LIU, Zhong-xin CHEN, Yun SHAO, Jin-song CHEN, Tuya Hasi, Hai-zhu PAN
2019 Journal of Integrative Agriculture  
In the future, the joint use of optical and SAR remote sensing data, the application of multi-band multi-dimensional SAR, the precise and high efficient modeling of electromagnetic scattering and parameter  ...  SAR is sensitive to the geometrical structures and dielectric properties of the targets and has a certain penetration ability to some agricultural targets.  ...  Acknowledgements This work was supported in part by the National Natural Science Foundation of China (61661136006 and 41371396). Allain S, Ferro-Famil L, Pottier E. 2003.  ... 
doi:10.1016/s2095-3119(18)62016-7 fatcat:a4v7kcn3lvfxza7z4d4hfwdeau

Very-High-Resolution Airborne Synthetic Aperture Radar Imaging: Signal Processing and Applications

Andreas Reigber, Rolf Scheiber, Marc Jager, Pau Prats-Iraola, Irena Hajnsek, Thomas Jagdhuber, Konstantinos P. Papathanassiou, Matteo Nannini, Esteban Aguilera, Stefan Baumgartner, Ralf Horn, Anton Nottensteiner (+1 others)
2013 Proceedings of the IEEE  
Today's airborne sensors are capable of delivering high-quality SAR data with decimeter resolution and allow the development of novel approaches in data analysis and information extraction from SAR.  ...  In many cases, information extraction from high-resolution airborne SAR imagery has achieved a mature level, turning SAR technology more and more into an operational tool.  ...  signal for an unambiguous retrieval of soil moisture over bare soils [89] .  ... 
doi:10.1109/jproc.2012.2220511 fatcat:rcfgf3agi5elha6pcjjyyzr7cu

Forest parameters inversion using Polarimetric and Interferometric SAR data

M. Lavalle, D. Solimini, E. Pottier, Y.-L. Desnos
2009 2009 IEEE International Geoscience and Remote Sensing Symposium  
The estimation of forest parameters from SAR data has been largely addressed in the open literature.  ...  The estimation of forest height and trees density, however, depends on several forest parameters and scene characteristics, such as terrain slope, soil moisture content and roughness.  ...  The combination of the two information allows to retrieve information along the vertical structure of forests and in general the retrieval of bio-and geo-physical parameter from vegetated areas.  ... 
doi:10.1109/igarss.2009.5417355 dblp:conf/igarss/LavalleSPD09 fatcat:j3pidvysq5fkljrsgn32o5o4g4

Assessment of Forest Biomass Estimation from Dry and Wet SAR Acquisitions Collected during the 2019 UAVSAR AM-PM Campaign in Southeastern United States

Unmesh Khati, Marco Lavalle, Gustavo H. X. Shiroma, Victoria Meyer, Bruce Chapman
2020 Remote Sensing  
Forest above-ground biomass (AGB) estimation from SAR backscatter is affected by varying imaging and environmental conditions.  ...  This paper quantifies and compares the performance of forest biomass estimation from L-band SAR backscatter measured selectively under dry and wet conditions during the 2019 AM-PM NASA airborne campaign  ...  Acknowledgments: The authors would like to thank the UAVSAR and NISAR teams for designing the AM-PM Campaign and making the single-look complex SAR data available.  ... 
doi:10.3390/rs12203397 fatcat:sqkqpbvp4ndutpmrgvxpp4e6lq

Parameterization of vegetation backscatter in radar-based, soil moisture estimation

Rajat Bindlish, Ana P Barros
2001 Remote Sensing of Environment  
The Integral Equation Model (IEM) was previously used in conjunction with an inversion model to retrieve soil moisture using multifrequency and multipolarization data from Spaceborne Imaging Radar C-band  ...  An application of the modified inversion model to the Washita 1994 data lead to a decrease of 32% in the RMSE, while the correlation coefficient between ground-based and SAR-derived soil moisture estimates  ...  Acknowledgments This research was funded by NASA under contracts NAGW-5254 and NAGW-2686 with the second author through the Earth System Science Center at Penn State University.  ... 
doi:10.1016/s0034-4257(00)00200-5 fatcat:3nvmwalyebhmzasexazpg3nzke

Soil Moisture Retrieval From Sentinel-1 Time-Series Data Over Croplands of Northeastern Thailand

Dong Fan, Tianjie Zhao, Xiaoguang Jiang, Huazhu Xue, Sitthisak Moukomla, Kittiwet Kuntiyawichai, Jiancheng Shi
2021 IEEE Geoscience and Remote Sensing Letters  
The algorithm was tested with a series of Sentinel-1 dual-channel (VV + VH) data over croplands (sugarcane and cassava) of Northeast Thailand with an upscaling resolution of 1 km.  ...  In this letter, we propose a dual-temporal dualchannel (DTDC) algorithm for soil moisture retrieval by using time-series observations from the Sentinel-1 C-band synthetic aperture radar.  ...  Using repeated observations of SAR data is an effective method to reduce the uncertainty of soil moisture retrieval, and has great potential in operational soil moisture retrieval algorithms [2] .  ... 
doi:10.1109/lgrs.2021.3065868 fatcat:5efoxxonkjdufabkxdhqs65bmy

Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy

Emanuele Santi, Marta Chiesi, Giacomo Fontanelli, Alessandro Lapini, Simonetta Paloscia, Simone Pettinato, Giuliano Ramat, Leonardo Santurri
2021 Remote Sensing  
In this paper, multi-frequency synthetic aperture radar (SAR) data at L- and C-bands (ALOS PALSAR and Envisat/ASAR) were used to estimate forest biomass in Tuscany, in Central Italy.  ...  The ground measurements of woody volume (WV, in m3/ha), which can be considered as a proxy of forest biomass, were retrieved from the Italian National Forest Inventory (NFI).  ...  ), whereas the ENVISAT/ASAR images were provided by European Space Agency and downloaded from ESA Online Catalogue.  ... 
doi:10.3390/rs13040809 fatcat:xyezgmg6f5ctbohg5f5g2uzrfm
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