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Predicting Selected Forest Stand Characteristics with Multispectral ALS Data

Michele Dalponte, Liviu Ene, Terje Gobakken, Erik Næsset, Damiano Gianelle
2018 Remote Sensing  
In this study, the potential of multispectral airborne laser scanner (ALS) data to model and predict some forest characteristics was explored.  ...  The results showed that all four characteristics can be accurately predicted with both sensors (the best R 2 being greater than 0.8), but the models based on the multispectral ALS data provide more accurate  ...  Conclusions Multispectral ALS data were shown to be a useful source of information for the prediction of the four forest characteristics addressed in this study.  ... 
doi:10.3390/rs10040586 fatcat:4y5fkyxvubgxzozayvqky5xw7i

Prediction of forest canopy fuel parameters in managed boreal forests using multispectral and unispectral airborne laser scanning data and aerial images

M. Maltamo, J. Räty, L. Korhonen, E. Kotivuori, M. Kukkonen, H. Peltola, J. Kangas, P. Packalen
2020 European Journal of Remote Sensing  
The ALS data alternatives were leaf-off and leaf-on unispectral and leaf-on multispectral data, alone and combined with aerial images.  ...  Site fertility was classified with kappa-values of 0.5-0.6. The most accurate results were obtained using multispectral ALS data, although the differences between the datasets were minor.  ...  However, our study concentrated on managed boreal forests with stand characteristics that are common in forested Nordic countries.  ... 
doi:10.1080/22797254.2020.1816142 fatcat:kc33k232abaahipt2nmqknvbqe

Remote sensing techniques for forest parameter assessment: multispectral classification and linear spectral mixture analysis

Michael Vohland, Johannes Stoffels, Christina Hau, Gebhard Schüler
2007 Silva Fennica  
There, eight forest classes were identified with an overall accuracy of 87.5%.  ...  Nevertheless, the absolute quantification of stand variables is even more essential for forest inventories.  ...  Acknowledgements This study was partly funded by the Research Institution for Forest Ecology and Forestry (FAWF) in Rhineland-Palatinate (Germany).  ... 
doi:10.14214/sf.471 fatcat:mrnomtw5qjebbayut3jwmyoum4

Extracting structural attributes from IKONOS imagery for Eucalyptus plantation forests in KwaZulu-Natal, South Africa, using image texture analysis and artificial neural networks

M. T. Gebreslasie, F. B. Ahmed, Jan A. N. van Aardt
2011 International Journal of Remote Sensing  
, respectively, based on multispectral IKONOS data.  ...  The suitability of optical IKONOS satellite data (multispectral and panchromatic) for the estimation of forest structural attributes -for example, stems per hectare (SPHA), diameter at breast height (DBH  ...  plantation forest structural attributes.  ... 
doi:10.1080/01431161.2010.527392 fatcat:jzr2u5cpovgnplvhfw5xnwpatm

High-throughput phenotyping of two plant-size traits of Eucalyptus species using neural networks

Marcus Vinicius Vieira Borges, Janielle de Oliveira Garcia, Tays Silva Batista, Alexsandra Nogueira Martins Silva, Fabio Henrique Rojo Baio, Carlos Antônio da Silva Junior, Gileno Brito de Azevedo, Glauce Taís de Oliveira Sousa Azevedo, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo Teodoro
2021 Journal of Forestry Research  
To do so, using the data obtained by the UAV as input variables, we tested different configurations (number of hidden layers and number of neurons in each layer) of ANNs for predicting DBH and Ht at stand  ...  The results reported here reveal the potential of using the generated models to perform accurate forest inventories based on spectral bands and VIs obtained with a UAV multispectral sensor and ANNs, reducing  ...  output data with high accuracy in the training process (Costa et al. 2019 ).  ... 
doi:10.1007/s11676-021-01360-6 fatcat:tnqe7me42zgyravft26l6j54he

Characterizing Forest Structure by Means of Remote Sensing: A Review [chapter]

Hooman Latifi
2012 Remote Sensing - Advanced Techniques and Platforms  
(Kutzer, 2008) tested the selected bands in visible and infrared domain of multispectral ASTER image together with a set of terrestrial data to differentiate the landuse types and the Non Wood Forest  ...  Therefore, multispectral data has been combined, though in relatively few experiences, with active data from RADAR platforms for retrieval of forest attributes.  ...  Characterizing Forest Structure by Means of Remote Sensing: A Review, Remote Sensing -Advanced Techniques and Platforms, Dr.  ... 
doi:10.5772/35143 fatcat:2jsrfbtv7felrff7vk5sjocwwq

USE OF VERY HIGH SPATIAL RESOLUTION IMAGERY FOR MAPPING WOOD ENERGY POTENTIAL FROM TROPICAL MANAGED FOREST STANDS, REUNION ISLAND

H. Bley-Dalouman, F. Broust, J. Prevost, A. Tran
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
, an endemic forest species and Cryptomeria japonica, an exotic forest stand.  ...  of very high spatial resolution multispectral imagery for mapping the main forest stands in a study area located the Western Highlands region, where Acacia mearnsii expands alongside Acacia heterophylla  ...  Data Field reference data Fieldwork was organized with forest experts, in October 2020 and February 2021, in order to collect GPS coordinates of the main forest species in the study area.  ... 
doi:10.5194/isprs-archives-xliii-b3-2021-189-2021 fatcat:hfo7vnsknzahznf3bvajblwsau

Estimation of forest biomass components using airborne LiDAR and multispectral sensors

A Hernando, L Puerto, B Mola-Yudego, JA Manzanera, A García-Abril, M Maltamo, R Valbuena
2019 iForest : Biogeosciences and Forestry  
Ruben Valbuena's work is supported by an EU Horizon 2020 Marie Sklodowska-Curie Action entitled "Classification of forest structural types with LiDAR remote sensing applied to study tree size-density scaling  ...  We also thank the Valsain Forest Center, of the National Park Body (Spain), for their valuable help.  ...  forest variables using LiDAR data (Chirici et al. 2016 ) and multispectral data (Mura et al. 2018) .  ... 
doi:10.3832/ifor2735-012 fatcat:sqlatt4zqrf7dopbu7o3wzf6li

Prediction of diameter distributions in boreal forests using remotely sensed data

Janne Räty
2020 Dissertationes Forestales  
The multispectral ALS data provided smaller errors associated with predicted logwood volumes than leaf-on unispectral ALS data alone.  ...  In general, the results suggest that the predictive performance associated with multispectral ALS data outperforms that of unispectral ALS data when tree species are considered.  ... 
doi:10.14214/df.294 fatcat:ltunmftzazbfbjc572eetm3nqa

Predicting forest structural parameters using the image texture derived from WorldView-2 multispectral imagery in a dryland forest, Israel

Ibrahim Ozdemir, Arnon Karnieli
2011 International Journal of Applied Earth Observation and Geoinformation  
The current study investigates the potential of using WordView-2 multispectral satellite imagery for predicting forest structural parameters in a dryland plantation forest in Israel.  ...  Estimation of forest structural parameters by field-based data collection methods is both expensive and time consuming.  ...  Remote sensing data A WorldView-2 (2 m spatial resolution) image with eight multispectral bands and an image acquisition date of May 2010 was used in the study (Fig. 1) .  ... 
doi:10.1016/j.jag.2011.05.006 fatcat:puriv7wdafaq3azt7fzmextgwq

QuickBird image-based estimation of tree stand density using local maxima filtering method: A case study in a Beijing forest

Shuhan Wang, Xiaoli Zhang, Mohammed Abdelmanan Hassan, Qi Chen, Chaokui Li, Zhiguang Tang, Yanjun Wang, David A. Lightfoot
2018 PLoS ONE  
The best combination for broadleaf forest was a 3 × 3 window size and NDVI ≥ 0.1 with R2 = 0.44, RMSE = 9.02 using near-infrared band.  ...  The stand density of trees affects stand growth and is useful for estimating other forests structure parameters. We studied tree stand density in Jiufeng National Forest Park in Beijing.  ...  Acknowledgments We thank the Beijing Forestry University Jiufeng Experimental Forestry Park and group members for collecting field inventory data and providing auxiliary data.  ... 
doi:10.1371/journal.pone.0208256 pmid:30543639 pmcid:PMC6292665 fatcat:rnmxf2l3zrhsldizhsk32ifjbi

Hyperspectral Analysis of Columbia Spotted Frog Habitat

JEREMY P. SHIVE, DAVID S. PILLIOD, CHARLES R. PETERSON
2010 Journal of Wildlife Management  
Hyperspectral data were collected with an airborne sensor on 30 June 2002 and on 8 July 2006.  ...  Hyperspectral image classification accuracy of wetlands was high, with a producer's accuracy of 96% (44 wetlands) correctly classified with the 2002 data and 89% (41 wetlands) correctly classified with  ...  and airborne multispectral data?  ... 
doi:10.1111/j.1937-2817.2010.tb01262.x fatcat:pcgw6bk46fdivkwdz3ev5fn7mm

Hyperspectral Analysis of Columbia Spotted Frog Habitat

Jeremy P. Shive, David S. Pilliod, Charles R. Peterson
2010 Journal of Wildlife Management  
Hyperspectral data were collected with an airborne sensor on 30 June 2002 and on 8 July 2006.  ...  Hyperspectral image classification accuracy of wetlands was high, with a producer's accuracy of 96% (44 wetlands) correctly classified with the 2002 data and 89% (41 wetlands) correctly classified with  ...  and airborne multispectral data?  ... 
doi:10.2193/2008-534 fatcat:zzvbfbdaordp5m6ll7jvtydeie

Estimating Single Tree Stem Volume of Pinus sylvestris Using Airborne Laser Scanner and Multispectral Line Scanner Data

Christoph Straub, Barbara Koch
2011 Remote Sensing  
In this article information derived from airborne laser scanner and multispectral line scanner data were tested to predict the stem volume of 178 pines (Pinus sylvestris) in a study site in the south-west  ...  So far, only a few studies have been carried out in central European forests to estimate individual tree stem volume of pine trees from high resolution remote sensing data.  ...  ., max. height: 123 m a.s.l.) and various forest stands (pure and mixed forest) with different species and age classes.  ... 
doi:10.3390/rs3050929 fatcat:xvhph5hjr5adbkqdtwr3a2htfe

Lidar and Multispectral Imagery Classifications of Balsam Fir Tree Status for Accurate Predictions of Merchantable Volume

Sarah Yoga, Jean Bégin, Benoît St-Onge, Demetrios Gatziolis
2017 Forests  
In this study, we assessed the use of lidar, alone or combined with multispectral imagery, to classify trees and predict the merchantable volumes of 61 balsam fir plots in a boreal forest in eastern Canada  ...  Recent increases in forest diseases have produced significant mortality in boreal forests.  ...  We would like to thank the Montmorency Forest for the access to the data used in this study.  ... 
doi:10.3390/f8070253 fatcat:jqznt7r5nzgrdgxwsdivzaaly4
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