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Detection of forest change and robust estimation of forest height from two-level model inversion of multi-temporal, single-pass InSAR data

Maciej J. Soja, Henrik J. Persson, Lars M. H. Ulander
2015 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
In this paper, forest change detection and forest height estimation are studied using two-level model (TLM) inversion of multi-temporal TanDEM-X (TDM) data.  ...  Two multi-temporal sets of TDM data, acquired over the hemi-boreal test site Remningstorp, situated in southern Sweden, are studied: one consisting of 12 acquisitions made in the summers of 2011 , 2012  ...  ACKNOWLEDGMENTS The authors would like to thank DLR for the TDM data, Swedish Land Survey for the DTM data, ESA for the BioSAR 2010 lidar data, as well as the Swedish National Space Board and the European  ... 
doi:10.1109/igarss.2015.7326673 dblp:conf/igarss/SojaPU15 fatcat:ifnofn3ukngwbf4m6nsiuddfla

Estimating Forest Biomass Dynamics by Integrating Multi-Temporal Landsat Satellite Images with Ground and Airborne LiDAR Data in the Coal Valley Mine, Alberta, Canada

Nasem Badreldin, Arturo Sanchez-Azofeifa
2015 Remote Sensing  
using multi-temporal Landsat satellite images.  ...  The detected change showed that, in general, the environment in the study area was recovering and regaining its initial biomass after the dramatic decrease that occurred in 2005 as a result of intensive  ...  Conflicts of Interest The authors declare no conflict of interest.  ... 
doi:10.3390/rs70302832 fatcat:7g2r3s2lp5hy7ie6kb64fhdl5a

Remote Sensing in Urban Forestry: Recent Applications and Future Directions

Xun Li, Wendy Y. Chen, Giovanni Sanesi, Raffaele Lafortezza
2019 Remote Sensing  
Combined optical imagery and LiDAR data results as the most promising among multi-source inputs; in addition, future efforts should focus on enhancing data processing efficiency.  ...  This study summarises recent remote sensing applications in urban forestry from the perspective of three distinctive themes: multi-source, multi-temporal and multi-scale inputs.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11101144 fatcat:7kf7tknxmfbp7ouwya4mzu7q7u

Remote Sensing of Urban Forests

Giovanni Sanesi, Vincenzo Giannico, Mario Elia, Raffaele Lafortezza
2019 Remote Sensing  
This Special Issue hosts papers focusing on the temporal and spatial dynamics of urban forests with special attention given to the most recent remote sensing technologies as well as advanced methods for  ...  processing geospatial data and extracting meaningful information.  ...  Acknowledgments: We thank all the authors that contributed to this Special Issue with their highly valuable research.  ... 
doi:10.3390/rs11202383 fatcat:w4jp25qymnchrc2xfch3gneumm

Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review

Trung H. Nguyen, Simon Jones, Mariela Soto-Berelov, Andrew Haywood, Samuel Hislop
2019 Remote Sensing  
However, most of these methods have been developed and tested in areas that are either supported by established forest inventory programs and/or can rely on Lidar data across large forest areas.  ...  First, using LTS allows for the filling of spatial and temporal data gaps in AGB predictions, improving the quality of AGB products and enabling the estimation of AGB across large areas and long time-periods  ...  AGB predictions using airborne multi-temporal Lidar data -Validating AGB changes according to forest disturbance and recovery history using Lidar-based AGB data  ... 
doi:10.3390/rs12010098 fatcat:23fjemrmtva2xp2bo5fznkwmaa

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  
At regional to country scales, methods have been progressively developed to detect and map forest degradation, with these based on multi-resolution optical, synthetic aperture radar (SAR) and/or LiDAR  ...  Estimates of AGB change have been demonstrated at national level using SAR and LiDAR-assisted approaches. Future improvements are anticipated with the availability of next generation LiDAR sensors.  ...  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

Editorial Summary, Remote Sensing Special Issue "Advances in Remote Sensing for Global Forest Monitoring"

Erkki Tomppo, Guangxing Wang, Jaan Praks, Ronald E. McRoberts, Lars T. Waser
2021 Remote Sensing  
The need for timely, spatially, and thematically accurate information regarding forests is increasing because of the key role of forests in the global carbon balance and sustainable social, economic, ecological  ...  The addition of multi-temporal microwave information to this data set showed multiple advantages.  ...  A short summary of the articles published is given below. (1) Detection of Forest Windstorm Damages with Multitemporal SAR Data-A Case Study: Finland.  ... 
doi:10.3390/rs13040597 fatcat:5gqmfqf3ojagtid7pd7eyi2m7q

Quantifying Multi-Decadal Change of Planted Forest Cover Using Airborne LiDAR and Landsat Imagery

Xiaoyi Wang, Huabing Huang, Peng Gong, Gregory Biging, Qinchuan Xin, Yanlei Chen, Jun Yang, Caixia Liu
2016 Remote Sensing  
Temporal trajectory fitting with random forest model shows the best agreement with validation data (R 2 " 0.82 and RMSE " 5.19%).  ...  With the availability of global time-series Landsat imagery and affordable airborne LiDAR data, the approach we developed has the potential to derive large-scale forest cover dynamics. on multi-date analysis  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs8010062 fatcat:ur2qde5cn5hxlciyjh7ymrdtga

Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets

Sandra Englhart, Juilson Jubanski, Florian Siegert
2013 Remote Sensing  
Our study objective was to evaluate multi-temporal LiDAR measurements of a tropical forested peatland area in Central Kalimantan on Borneo.  ...  Canopy height and AGB dynamics were quantified with a special focus on unaffected, selective logged and burned forests. More than 11,000 ha were surveyed with airborne LiDAR in 2007 and 2011.  ...  We would like to thank the Kalimantan Forests and Climate Partnership (KFCP) and AusAID (Australian Agency for International Development) for providing the 2011 LiDAR data.  ... 
doi:10.3390/rs5052368 fatcat:dyyiqvm7azenrlxbxrbhsokogy

Understanding Forest Health with Remote Sensing-Part II—A Review of Approaches and Data Models

Angela Lausch, Stefan Erasmi, Douglas King, Paul Magdon, Marco Heurich
2017 Remote Sensing  
Due to the crucial importance of forests, it is of high relevance to better understand how different stressors affect forest conditions and how these mechanisms interact with the type, structure and history  ...  Long-term monitoring based on forest inventories provides valuable information about changes and trends of FH.  ...  Ministry of Education and Research.  ... 
doi:10.3390/rs9020129 fatcat:zxyfarzipbaerejj4a3kmp3qca


U. Vepakomma, D. Cormier
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
trees and undergrowth was well pronounced and underlying terrain below dense undisturbed canopy was well captured with UAS based Riegl Vux-1 lidar even at a range of 150 m.  ...  Based on a study conducted in autumn 2015, our findings in a white pine dominant forest stand in Petawawa (Ontario, Canada) showed that almost all individual trees were detectable, structure of individual  ...  ACKNOWLEDGEMENTS This work was partly funded by the Forest Innovation Program of the Canadian Wood Fibre Centre (Natural Resources Canada).  ... 
doi:10.5194/isprs-archives-xlii-2-w6-393-2017 fatcat:tdlr4ozeofbphen2b3ws4t6i74

Carbon Dynamics in a Human-Modified Tropical Forest: A Case Study Using Multi-Temporal LiDAR Data

Yhasmin Mendes de Moura, Heiko Balzter, Lênio S. Galvão, Ricardo Dalagnol, Fernando Espírito-Santo, Erone G. Santos, Mariano Garcia, Polyanna da Conceição Bispo, Raimundo C. Oliveira, Yosio E. Shimabukuro
2020 Remote Sensing  
Here, we used multi-temporal and high-spatial resolution airborne LiDAR data to quantify rates of carbon dynamics over a large patch of HMTF in eastern Amazon, Brazil.  ...  Understanding the multi-temporal dynamics of carbon stocks over human-modified tropical forests (HMTF) is crucial to close the carbon cycle balance in the tropics.  ...  of State for the LiDAR data.  ... 
doi:10.3390/rs12030430 fatcat:fd36c56u7vg2bdrwewxrnlr2k4

Aboveground biomass estimation of tropical peat swamp forests using SAR and optical data

Sandra Englhart, Jonas Franke, Vanessa Keuck, Florian Siegert
2012 2012 IEEE International Geoscience and Remote Sensing Symposium  
providing TerraSAR-X data and their cooperation within the For-X Project (50 E705, PI: LAN0236).  ...  Acknowledgements The authors would like to thank the Japan Aerospace Agency (JAXA) for supplying ALOS PALSAR data within the PI project No. 211 as well as Infoterra GmbH and German Space Agency (DLR) for  ...  Multi-temporal LiDAR measurements were investigated for their potential to detect changes in tropical peat swamp forests between 2007 and 2011.  ... 
doi:10.1109/igarss.2012.6352092 dblp:conf/igarss/EnglhartFKS12 fatcat:j6zgqklkqjbila7y57ggqjgr6i

Remote Sensing's Recent and Future Contributions to Landscape Ecology

Morgan A. Crowley, Jeffrey A. Cardille
2020 Current Landscape Ecology Reports  
Lastly, remote sensing data sources and methods have been used to analyze historical landscape changes and to simulate future landscape changes.  ...  spanning multiple spatial and temporal scales, and novel land cover classification techniques that produce accurate and reliable land cover data.  ...  Acknowledgments Many thanks to Sara Pancheri for annotating the first set of papers reviewed.  ... 
doi:10.1007/s40823-020-00054-9 fatcat:si4symuoijhmrfa3gyox7hzdse

Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada

Harold S.J. Zald, Michael A. Wulder, Joanne C. White, Thomas Hilker, Txomin Hermosilla, Geordie W. Hobart, Nicholas C. Coops
2016 Remote Sensing of Environment  
Mapped explanatory data included Tasseled Cap indices and multi-temporal change metrics derived from Landsat TM/ETM+ pixel-based image composites.  ...  complete spatial coverage of imagery with detailed ecological information from a sample of plots to spatially model forest conditions and resources.  ...  funded by the Canadian Space Agency (CSA) Government Related Initiatives Program (GRIP) and the Canadian Forest Service (CFS) of Natural Resources Canada.  ... 
doi:10.1016/j.rse.2016.01.015 fatcat:btxtbudmlrc2nnpuwvn7zg2f7u
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