scholarly journals USO DE DADOS LiDAR NA ESTIMATIVA DE VARIÁVEIS BIOFÍSICA NA AMAZÔNIA, SOB DIFERENTES RESOLUÇÕES ESPACIAIS

Nativa ◽  
2018 ◽  
Vol 6 ◽  
pp. 841
Author(s):  
Franciel Eduardo Rex ◽  
Ana Paula Dalla Corte ◽  
Aline Bernarda Debastiani ◽  
Verônica Satomi Kazama ◽  
Carlos Roberto Sanquetta
Keyword(s):  
Laser Scanner ◽  
Light Detection And Ranging ◽  
Lidar Data ◽  
Above Ground Biomass ◽  
Light Detection ◽  
Ground Biomass ◽  
Carbon Biomass ◽  
Significant Difference ◽  
De Se ◽  
Low Costs

A Floresta Amazônica é conhecida pela sua diversidade e quantidade de carbono estocado na biomassa acima do solo (do inglês, Above-Ground Biomass-AGB), o que atrai grande interesse em quantificar estes recursos naturais. Devido às dificuldades de mensuração desses dados em campo, o sensoriamento remoto oferece oportunidade na quantificação destes parâmetros (biomassa e carbono), de forma rápida e com custos relativamente baixos. Porém, a resolução espacial desses dados pode afetar essa estimativa, como é o caso dos resultantes tamanhos de pixels possíveis de se obter com o processamento de dados LiDAR (Light Detection and Ranging). No presente estudo, foram utilizados dados de laser scanner aerotransportado e de inventário florestal realizado na Floresta Nacional do Jamari, localizado em Rondônia. A partir destes dados, foram obtidos a AGB e Above-Ground Carbon (AGC) para sete diferentes tamanhos de pixel (10, 20, 30, 40, 50, 75 e 100 m) e avaliado seus efeitos nas estimativas de AGB e AGC. Não houve diferença significativas em nível de 95% de probabilidade entre as estimativas de AGB e AGC. Dados LiDAR apresentam grande potencial na obtenção de parâmetros como a AGB e AGC em floresta tropical, mesmo em diferentes resoluções espaciais.Palavras-chave: Floresta tropical, laser scanner, carbono, biomassa. USE OF LiDAR DATA IN THE ESTIMATE OF BIOPHYSICAL VARIABLES IN THE AMAZON, UNDER DIFFERENT SPATIAL RESOLUTIONS ABSTRACT:The Amazon Rainforest is known for its diversity and quantity of carbon stored in above-ground biomass (from English, Above-Ground Biomass-AGB), that attracts great interest in quantifying these natural resources. Due to the difficulties of measuring these data in the field, remote sensing offers the opportunity to quantify these parameters (biomass and carbon), quickly and with relatively low costs. However, the spatial resolution of these data can affect this estimate, as is the case with the resulting possible pixel sizes to be obtained with Light Detection and Ranging (LiDAR) data processing. In the present study, were used data from airborne scanner laser and forest inventory realized in the Jamari National Forest, located in Rondônia. From these data, AGB and Above-Ground Carbon (AGC) were obtained for seven different pixel sizes (10, 20, 30, 40, 50, 75 and 100 m) and evaluated for their effects on AGB and AGC estimates. There was no significant difference at the 95% probability level between AGB and AGC estimates. LiDAR data present great potential in obtaining parameters such as AGB and AGC in tropical forest, even in different spatial resolutions.Keywords: Rain forest, laser scanner, carbon, biomass.

LiDAR remote sensing of forest structure

2003 ◽  
Vol 27 (1) ◽  
pp. 88-106 ◽  
Author(s):  
Kevin Lim ◽  
Paul Treitz ◽  
Michael Wulder ◽  
Benoît St-Onge ◽  
Martin Flood
Keyword(s):  
Remote Sensing ◽  
Forest Structure ◽  
Forest Ecosystems ◽  
Canopy Height ◽  
Forest Monitoring ◽  
Light Detection And Ranging ◽  
Lidar Data ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Canopy Volume

Light detection and ranging (LiDAR) technology provides horizontal and vertical information at high spatial resolutions and vertical accuracies. Forest attributes such as canopy height can be directly retrieved from LiDAR data. Direct retrieval of canopy height provides opportunities to model above-ground biomass and canopy volume. Access to the vertical nature of forest ecosystems also offers new opportunities for enhanced forest monitoring, management and planning.

Using photography to estimate above-ground biomass of small trees

2020 ◽  
pp. 1-7
Author(s):  
Brandon R. Hays ◽  
Corinna Riginos ◽  
Todd M. Palmer ◽  
Benard C. Gituku ◽  
Jacob R. Goheen
Keyword(s):  
Cost Effective ◽  
Allometric Equation ◽  
Biomass Estimation ◽  
Above Ground Biomass ◽  
Tree Biomass ◽  
East African ◽  
Ground Biomass ◽  
Herbivore Exclusion ◽  
Significant Difference ◽  
Allometric Relation

Abstract Quantifying tree biomass is an important research and management goal across many disciplines. For species that exhibit predictable relationships between structural metrics (e.g. diameter, height, crown breadth) and total weight, allometric calculations produce accurate estimates of above-ground biomass. However, such methods may be insufficient where inter-individual variation is large relative to individual biomass and is itself of interest (for example, variation due to herbivory). In an East African savanna bushland, we analysed photographs of small (<5 m) trees from perpendicular angles and fixed distances to estimate above-ground biomass. Pixel area of trees in photos and diameter were more strongly related to measured, above-ground biomass of destructively sampled trees than biomass estimated using a published allometric relation based on diameter alone (R2 = 0.86 versus R2 = 0.68). When tested on trees in herbivore-exclusion plots versus unfenced (open) plots, our predictive equation based on photos confirmed higher above-ground biomass in the exclusion plots than in unfenced (open) plots (P < 0.001), in contrast to no significant difference based on the allometric equation (P = 0.43). As such, our new technique based on photographs offers an accurate and cost-effective complement to existing methods for tree biomass estimation at small scales with potential application across a wide variety of settings.

scholarly journals Effects of grazing on plant species diversity and above ground biomass in a Trans- Himalayan Rangeland

1970 ◽  
Vol 17 (1) ◽  
pp. 25-31 ◽  
Author(s):  
Anita Pokharel ◽  
Madhu Chhetri ◽  
Chiranjibi P Upadhyaya
Keyword(s):  
Species Diversity ◽  
Species Composition ◽  
Plant Species ◽  
Diversity Index ◽  
Livestock Grazing ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Grazing Effect ◽  
Significant Difference ◽  
Palatable Species

Limited information is available on the species composition, above ground biomass and its relations to grazing in a trans-Himalayan rangeland. Its assessment is essential for long term conservation and management. In the present study, we compared species composition, phenology, diversity index and biomass between controlled (without grazing) and open (free grazing) plots to assess the effects of grazing in the selected experimental sites of Upper Mustang during July and November 2005. Species encountered were classified as high, medium, low and non palatable and in three life form categories-grasses, shrubs and forbs. The experimental sites are dominated by forbs (80%) followed by grasses (15%) and shrubs (5%). Disturbance caused by grazing affects the phenological characteristics of the plant community. Result also reveals that species diversity, maximum possible diversity, evenness and species richness was higher in the grazed plots during July and November. A comparison of the aboveground biomass in July showed that mean percentage biomass of high, medium and low palatable species is higher in ungrazed plots. In November, the percentage biomass of only medium palatable species was higher in ungrazed plots and rest of the category is higher in grazed plots. Significant difference in July, a peak growing seasons for most of the plant species in the region reveals that the pasture has impact of livestock grazing. Keywords: Biomass, diversity, grazing effect, rangeland, species Banko Janakari: A journal of forestry information for Nepal Vol.17(1) 2007 pp.25-31

scholarly journals Estimation of Voxel-Based Above-Ground Biomass Using Airborne LiDAR Data in an Intact Tropical Rain Forest, Brunei

Forests ◽  
2016 ◽  
Vol 7 (12) ◽  
pp. 259 ◽  
Author(s):  
Eunji Kim ◽  
Woo-Kyun Lee ◽  
Mihae Yoon ◽  
Jong-Yeol Lee ◽  
Yowhan Son ◽  
...  
Keyword(s):  
Rain Forest ◽  
Tropical Rain Forest ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Airborne Lidar Data

scholarly journals A Novel Method for Feature Extraction and Classification for an Aerial Image and LiDAR Data with Genetic Algorithm

2012 ◽  
pp. 264-270
Author(s):  
Manjunath B. E ◽  
D. G. Anand ◽  
Mahant. G. Kattimani
Keyword(s):  
Feature Extraction ◽  
Light Detection And Ranging ◽  
Aerial Image ◽  
Lidar Data ◽  
Light Detection ◽  
Aerial Photos ◽  
The Earth ◽  
Digital Elevation ◽  
Land Surveying ◽  
Novel Method

Airborne Light Detection and Ranging (LiDAR) provides accurate height information for objects on the earth, which makes LiDAR become more and more popular in terrain and land surveying. In particular, LiDAR data offer vital and significant features for land-cover classification which is an important task in many application domains. Aerial photos with LiDAR data were processed with genetic algorithms not only for feature extraction but also for orthographical image. DSM provided by LiDAR reduced the amount of GCPs needed for the regular processing, thus the reason both efficiency and accuracy are highly improved. LiDAR is an acronym for Light Detection and Ranging, which is typically defined as an integration of three technologies into a single system, which is capable of acquiring a data to produce accurate Digital Elevation Models.

scholarly journals Tunnel Vision

2016 ◽  
Vol 4 (2) ◽  
pp. 192-204 ◽  
Author(s):  
Thomas G. Garrison ◽  
Dustin Richmond ◽  
Perry Naughton ◽  
Eric Lo ◽  
Sabrina Trinh ◽  
...  
Keyword(s):  
3D Models ◽  
Present Form ◽  
Light Detection And Ranging ◽  
Lidar Data ◽  
Technical Expertise ◽  
Ancient Maya ◽  
Light Detection ◽  
Terrestrial Lidar ◽  
Tunnel Vision ◽  
El Zotz

AbstractArchaeological tunneling is a standard excavation strategy in Mesoamerica. The ancient Maya built new structures atop older ones that were no longer deemed usable, whether for logistical or ideological reasons. This means that as archaeologists excavate horizontal tunnels into ancient Maya structures, they are essentially moving back in time. As earlier constructions are encountered, these tunnels may deviate in many directions in order to document architectural remains. The resultant excavations often become intricate labyrinths, extending dozens of meters. Traditional forms of archaeological documentation, such as photographs, plan views, and profile drawings, are limited in their ability to convey the complexity of tunnel excavations. Terrestrial Lidar (light detection and ranging) instruments are able to generate precise 3D models of tunnel excavations. This article presents the results of a model created with a Faro™ Focus 3D 120 Scanner of tunneling excavations at the site of El Zotz, Guatemala. The lidar data document the excavations inside a large mortuary pyramid, including intricately decorated architecture from an Early Classic (A.D. 300–600) platform buried within the present form of the structure. Increased collaboration between archaeologists and scholars with technical expertise maximizes the effectiveness of 3D models, as does presenting digital results in tandem with traditional forms of documentation.

scholarly journals Estimation of Stand-level Above Ground Biomass in Intact Tropical Rain Forests of Brunei using Airborne LiDAR data

2015 ◽  
Vol 31 (2) ◽  
pp. 127-136 ◽  
Author(s):  
Mihae Yoon ◽  
Eunji Kim ◽  
Doo-Ahn Kwak ◽  
Woo-Kyun Lee ◽  
Jong-Yeol Lee ◽  
...  
Keyword(s):  
Airborne Lidar ◽  
Lidar Data ◽  
Above Ground Biomass ◽  
Tropical Rain Forests ◽  
Rain Forests ◽  
Ground Biomass ◽  
Airborne Lidar Data
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