Revisão Sistemática Da Literatura Sobre Detecção De Árvores Utilizando Dados De Sensoriamento Remoto

Mlenek, Dyeison Cesar; Corte, Ana Paula Dalla; Santos, Daniel Rodrigues dos; Sanqueta, Carlos Roberto

doi:10.5380/biofix.v5i1.66902

Cited by 2 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because watershed algorithm is easy to be implemented and improved, well developed 8,10 and is commonly available in GIS software, watershed is frequently used to perform crown delineation from a CHM 1,2,10,14,22,36-38 . 14 's original workflow, which used only 3D data, was modified in this study to also include the orthomosaic's RGB brightness information in the processing chain ( Fig.…”

Section: Automatic Tree Crown Delineation Based On Chmmentioning

confidence: 99%

“…However, the accurate identification of individual trees across diverse forest ecosystems in remote sensing data using automated methods is (still) not an easy task 9 . Therefore, obtaining automatic identification of tree crowns, their locations and counts from remotely detected data is a useful and challenging task 10 .…”

Section: Introductionmentioning

confidence: 99%

“…There are many approaches available to detect and delineate tree crowns from a CHM, with no single method performing best for all applications 8,21 . The accuracy of single-tree-level attributes estimation can be affected by the delineation method and data chosen but also, it can be highly dependent on the forest structure under investigation 10,12,22 . Individual tree level prediction accuracies of complex canopy structures (e.g.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Individual tree crown detection and delineation across a woodland using leaf-on and leaf-off imagery from a UAV consumer-grade camera

Berra

2020

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

Extraction of information about individual trees using remotely sensed data is essential to supporting ecological and commercial applications in forest environments. Data acquired by consumer-grade cameras onboard Unmanned Aerial Vehicles (UAV) offer an affordable option of high spatial resolution imagery that can be used to extract forest structural information at a tree level. The aim of this work is to investigate the potential and accuracy of UAV time series data to automatically detect and delineate tree crowns across an entire woodland. The workflow (presented in a step-by-step manner) involves the construction of a Canopy Height Model (CHM) based on digital elevation models derived from the UAV photogrammetric point clouds. A watershed-based approach is modified to automatically detect and delineate the tree crowns, based on the CHM and the brightness information from the UAV orthomosaics. The accuracy of the proposed method was evaluated by comparing its results against manually delineated tree crowns. The results show an overall accuracy of 63%, where conifer species were more accurately delineated (up to 80%), while broadleaf species returned lower accuracies (<50%). Continued research is necessary to improve the confidence of automated individual tree crown detection and delineation, especially over complex forest structures.

show abstract

Section: Automatic Tree Crown Delineation Based On Chmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Individual tree crown detection and delineation across a woodland using leaf-on and leaf-off imagery from a UAV consumer-grade camera

Berra

2020

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

show abstract

Evaluation of Unmanned Aerial Vehicles (UAV) as a Tool to Predict Biomass and Carbon of Tectona grandis in Silvopastoral Systems (SPS) in Costa Rica

Hernández-Cole

Ortíz-Malavassi

Moya

et al. 2021

Drones

View full text Add to dashboard Cite

The main objective of this research was to evaluate the use of unmanned aerial vehicles (UAVs) in estimating the aboveground biomass and carbon, and the dasometric characteristics at three different spacings (2.5 m × 1.0 m, 2.5 m × 2.0 m and 2.5 m × 3.0 m) in a silvopastoral system (SPS) for the biomass production of Tectona grandis. A total of 90 trees were sampled, 63 of which were used to perform a dasometric evaluation (vertical and horizontal) in a spacing test in an SPS, and the rest to evaluate the use of UAVs in estimating the aboveground biomass in the spacing test. The results showed significant differences in average diameter at breast height (dbh) between spacings, and in aboveground biomass per tree. The amount of aboveground biomass and carbon per hectare increases at smaller spacings, but the differences were not statistically significant. A logarithmic model was prepared to estimate the dbh based on the crown diameter from the data collected taken in the field, since estimating this variable by means of UAVs is difficult. Significant differences were found in the aboveground biomass estimated using the field data compared to UAV data. The estimation of the crown diameter of the selected trees, hindered by the canopy closure in the SPS, was not adequate, which could influence the amount of aboveground biomass estimated using UAV data.

show abstract

Revisão Sistemática Da Literatura Sobre Detecção De Árvores Utilizando Dados De Sensoriamento Remoto

Cited by 2 publications

References 22 publications

Individual tree crown detection and delineation across a woodland using leaf-on and leaf-off imagery from a UAV consumer-grade camera

Individual tree crown detection and delineation across a woodland using leaf-on and leaf-off imagery from a UAV consumer-grade camera

Evaluation of Unmanned Aerial Vehicles (UAV) as a Tool to Predict Biomass and Carbon of Tectona grandis in Silvopastoral Systems (SPS) in Costa Rica

Contact Info

Product

Resources

About