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Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches

Scott L. Powell, Warren B. Cohen, Sean P. Healey, Robert E. Kennedy, Gretchen G. Moisen, Kenneth B. Pierce, Janet L. Ohmann
2010 Remote Sensing of Environment  
We modeled live, aboveground tree biomass using Forest Inventory and Analysis (FIA) field data and applied the models to 20+ year timeseries of Landsat satellite imagery to derive trajectories of aboveground  ...  forest biomass for study locations in Arizona and Minnesota.  ...  modeling and mapping with Random Forests.  ... 
doi:10.1016/j.rse.2009.12.018 fatcat:wuewnonzfzhp7pojhv5elr36ey

Do airborne laser scanning biomass prediction models benefit from Landsat time series, hyperspectral data or forest classification in tropical mosaic landscapes?

Janne Heiskanen, Hari Adhikari, Rami Piiroinen, Petteri Packalen, Petri K.E. Pellikka
2019 International Journal of Applied Earth Observation and Geoinformation  
However, tropical landscapes experiencing land use changes are typically heterogeneous mosaics of various land cover types with high tree species richness and trees outside forests, making them challenging  ...  Furthermore, the combination of ALS data with LTS and HS data improved accuracies of the models for the forest and non-forest classes, and the overall best results were achieved when using ALS and HS data  ...  We thank Jessica Broas, Vuokko Heikinheimo, Elisa Schäfer, Jesse Hietanen and Darius Kizumi for assistance in the field and in data processing, and Taita Research Station of the University of Helsinki  ... 
doi:10.1016/j.jag.2019.05.017 fatcat:2nzutt5ds5dezkl4qdwnymcbxm

Applications of the United States Forest Service Forest Inventory and Analysis dataset: A review and future directions

Wade Travis Tinkham, Patrick Ryan Mahoney, Andrew T. Hudak, Grant M. Domke, Michael J. Falkowski, Christopher W. Woodall, Alistair Smith
2018 Canadian Journal of Forest Research  
The FIA based models outperformed the regional biomass models that each led259 to a higher bias.  ...  Forest Inventory Work Group put forward a proposal to adapt the common FIA protocols for working in 902 tropical environments (Willits et al. 2000).  ... 
doi:10.1139/cjfr-2018-0196 fatcat:orzuof3xf5a53es3txbbvfae54

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  
The main objective of this paper is to provide a review of research that is being carried out to retrieve two critically important terrestrial biophysical quantities (vegetation biomass and soil moisture  ...  Moreover, the launch of the Sentinel satellite family will increase the availability of data, especially in the temporal domain, at no cost to the users.  ...  Such models are based on a solid physical description of the mechanisms involving the interaction of the electromagnetic radiation and the target object of interest.  ... 
doi:10.3390/rs71215841 fatcat:jiktp2klrzfffbzdf2ozbbk2ke

The Effect of Synergistic Approaches of Features and Ensemble Learning Algorith on Aboveground Biomass Estimation of Natural Secondary Forests Based on ALS and Landsat 8

Chunyu Du, Wenyi Fan, Ye Ma, Hung-Il Jin, Zhen Zhen
2021 Sensors  
Although the combination of Airborne Laser Scanning (ALS) data and optical imagery and machine learning algorithms were proved to improve the estimation of aboveground biomass (AGB), the synergistic approaches  ...  The stacked generalization (SG) algorithms, a kind of ensemble learning algorithms, greatly improved the accuracies compared to the corresponding base model, and the SG with the CNN meta-model performed  ...  The accurate estimation of forest aboveground biomass (AGB) has a critical effect on the understanding of forest quality and recovery in the NSFs of northeastern China.  ... 
doi:10.3390/s21175974 pmid:34502867 pmcid:PMC8434651 fatcat:d4ejnjscivcmjplh5mkia7fhri

Quantitative Evaluation of Bitterlich Sampling for Estimating Basal Area in Sparse Boreal Forests and Dense Tropical Forests

Wei Yang, Hideki Kobayashi, Kenlo Nishida Nasahara, Rikie Suzuki, Akihiko Kondoh
2017 Open Journal of Forestry  
In contrast, for dense tropical forests, a CN of ten is appropriate to mitigate the hidden-tree effect.  ...  In this study, this technique was quantitatively evaluated by using simulated sparse boreal forests and dense tropical forests from an empirical forest structure model (EFSM).  ...  Ono for assisting data collection for tropical forests.  ... 
doi:10.4236/ojf.2017.72009 fatcat:y7nfxspnmbah7bzrtmazb3ma5e

Modelling above-ground biomass stock over Norway using national forest inventory data with ArcticDEM and Sentinel-2 data

S. Puliti, M. Hauglin, J. Breidenbach, P. Montesano, C.S.R. Neigh, J. Rahlf, S. Solberg, T.F. Klingenberg, R. Astrup
2020 Remote Sensing of Environment  
Separate random forest models were fitted using NFI data, and corresponding remotely sensed data consisting of either: i) a canopy height model (ArcticCHM) obtained by subtracting a high-quality digital  ...  The free-availability of ArcticDEM data offers new possibilities for aboveground biomass mapping (AGB) across boreal forests, and thus it is necessary to evaluate the potential for these data to map AGB  ...  JOP.01.19.2 "Use of space-borne 3D data and national forest inventory data to estimate forest biomass in Norway".  ... 
doi:10.1016/j.rse.2019.111501 fatcat:kuub6e734bdqvb4oimh65p2sre

Estimation of Individual Tree Biomass in Natural Secondary Forests Based on ALS Data and WorldView-3 Imagery

Yinghui Zhao, Ye Ma, Lindi Quackenbush, Zhen Zhen
2022 Remote Sensing  
, inversed the diameter at breast height (DBH) using an optimal tree height curve model, and mapped individual tree AGB for a site in northeast China using additive biomass equations, tree species, and  ...  Individual-tree aboveground biomass (AGB) estimation can highlight the spatial distribution of AGB and is vital for precision forestry.  ...  China, who participated in the National Forest Survey and samples plots in the Maoershan Experimental Forest Farm in 2019 and collected the data for this study.  ... 
doi:10.3390/rs14020271 fatcat:mzjv54eg7ndllnolhcp5otaj3q

Grassland canopy cover and aboveground biomass in Mongolia and Inner Mongolia: Spatiotemporal estimates and controlling factors

Ranjeet John, Jiquan Chen, Vincenzo Giannico, Hogeun Park, Jingfeng Xiao, Gabriela Shirkey, Zutao Ouyang, Changliang Shao, Raffaele Lafortezza, Jiaguo Qi
2018 Remote Sensing of Environment  
Hence, a precise estimation of canopy cover (CC, %) and aboveground biomass (AGB, g m −2 ) is needed. In this study, we analyzed > 1000 field observations with sampling during in MG.  ...  A B S T R A C T Temperate and semiarid grasslands comprise 80% of the land area on the Mongolian Plateau and environs, which includes Mongolia (MG), and the province of Inner Mongolia (IM), China.  ...  We acknowledge the help of Ochirbat Batkhishig and Ganzorig Ulgichimeeg, Institute of Geography, Mongolian Academy of Sciences in organizing and supervising fieldwork.  ... 
doi:10.1016/j.rse.2018.05.002 fatcat:bmo4hso32bdxrbwljzwl7iauq4

Estimating Aboveground Biomass of Two Different Forest Types in Myanmar from Sentinel-2 Data with Machine Learning and Geostatistical Algorithms

Phyo Wai, Huiyi Su, Mingshi Li
2022 Remote Sensing  
The accurate estimation of spatially explicit forest aboveground biomass (AGB) provides an essential basis for sustainable forest management and carbon sequestration accounting, especially in Myanmar,  ...  Specifically, a suite of forest sample plots were deployed in the two forest reserves, and forest attributes were measured to calculate the plot-level AGB based on allometric equations.  ...  The detailed modeling approaches are summarized as follows: Random Forest and Stochastic Gradient Boosting Models Parametric and non-parametric models have been utilized either alone or combined with environmental  ... 
doi:10.3390/rs14092146 fatcat:rmjwvxcjzvaofai3qhs7aqczcu

Using lightweight unmanned aerial vehicles to monitor tropical forest recovery

Rakan A. Zahawi, Jonathan P. Dandois, Karen D. Holl, Dana Nadwodny, J. Leighton Reid, Erle C. Ellis
2015 Biological Conservation  
An inexpensive UAV-based remote sensing methodology, "Ecosynth", was applied to measure forest canopy structure across field plots in a 7-9-yr tropical forest restoration study in southern Costa Rica.  ...  Furthermore, given the volume of data that can be generated in a single flight plan, as well as the ability to use the technology in remote areas, these methods could expand the scope of studies on forest  ...  Chaves-Fallas and J.A. Rosales for assistance in the field with hexacopter flights.  ... 
doi:10.1016/j.biocon.2015.03.031 fatcat:rgvssisj55bfvcg26tylvlimny

A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height

Yuanyuan Wang, Guicai Li, Jianhua Ding, Zhaodi Guo, Shihao Tang, Cheng Wang, Qingni Huang, Ronggao Liu, Jing M. Chen
2016 Remote Sensing of Environment  
to be important for height modeling in the Asian and North American regions. (4) The balanced random forest (BRF) algorithm was applied to register GLAS mean forest canopy height to a 500 m grid considering  ...  An inter-comparison among three global forest height maps [the present study, Lefsky (2010), and Simard et al. (2011) ] was implemented in a pixel-by-pixel manner.  ...  We thank anonymous reviewers whose constructive comments led to a better presentation of our research methods and results. We also thank Professor S. Munro from University of Toronto and Dr. D.  ... 
doi:10.1016/j.rse.2015.12.005 fatcat:xbuayqb65vbp7c2ciezjxosvkm

General Poster Sessions

2014 International forestry review  
The results showed that the species diversity of understory vegetation was higher in thinned than in unmanaged forests. Lichen biomass increased three-fold in thinned forests.  ...  We are using plot-scale measurements of water balance and pollinator diversity per forest type to calibrate spatially explicit ES modeling platforms using high resolution forest cover maps.  ...  The carbon footprint of forestry in east Norway: a life cycle analysis. Lange, H., Timmermann, V., Dibdiakova, J., Gobakken, L.  ... 
doi:10.1505/146554814814281701 fatcat:tkm4o67rtvbjban3fbhbcayvqa

Remote Sensing Applications for Monitoring Terrestrial Protected Areas: Progress in the Last Decade

Lijun Mao, Mingshi Li, Wenjuan Shen
2020 Sustainability  
We review the advances in remote sensing-based approaches for monitoring terrestrial PAs in the last decade and identify four types of studies in this field: land use & land cover and vegetation community  ...  We systematically discuss the satellite data and methods used for monitoring PAs for the four research objectives. Moreover, we summarize the approaches used in the different types of studies.  ...  Acknowledgments: The authors acknowledge the financial support of Nanjing Forestry University and Nanjing Forest Police College. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12125016 fatcat:dpvyuh32qfhq3dnujflotocmbq

Forest mapping and monitoring using active 3D remote sensing

Mikko Vastaranta
2012 Dissertationes Forestales  
In substudy III, we developed a RS-based forest inventory method where single-tree RS is used to acquire modelling data needed in area-based predictions.  ...  Then, in substudy V, we compared the aboveground biomass and VOL estimates derived by radargrammetry to the ALS estimates.  ...  The biomass was estimated on the basis of a single-tree breastheight diameter and model-based approach.  ... 
doi:10.14214/df.144 fatcat:tps4nuatnnbplpqyfegcdei434
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