Effect of field plot location on estimating tropical forest above-ground biomass in Nepal using airborne laser scanning data

2014 ◽  
Vol 94 ◽  
pp. 55-62 ◽  
Author(s):  
Parvez Rana ◽  
Lauri Korhonen ◽  
Basanta Gautam ◽  
Timo Tokola
Keyword(s):  
Tropical Forest ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Above Ground Biomass ◽  
Field Plot ◽  
Ground Biomass ◽  
Airborne Laser ◽  
Plot Location

Estimating field-plot data of forest stands using airborne laser scanning and SPOT HRG data

2007 ◽  
Vol 110 (4) ◽  
pp. 501-508 ◽  
Author(s):  
J WALLERMAN ◽  
J HOLMGREN
Keyword(s):  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Forest Stands ◽  
Field Plot ◽  
Airborne Laser

scholarly journals Predicting bilberry and cowberry yields using airborne laser scanning and other auxiliary data combined with National Forest Inventory field plot data

2021 ◽  
Vol 502 ◽  
pp. 119737
Author(s):  
Inka Bohlin ◽  
Matti Maltamo ◽  
Henrik Hedenås ◽  
Tomas Lämås ◽  
Jonas Dahlgren ◽  
...  
Keyword(s):  
Forest Inventory ◽  
Laser Scanning ◽  
National Forest Inventory ◽  
Airborne Laser Scanning ◽  
National Forest ◽  
Field Plot ◽  
Auxiliary Data ◽  
Airborne Laser

Assessing the utility of airborne laser scanning derived indicators for tropical forest management

2020 ◽  
Vol 82 (4) ◽  
pp. 352-358
Author(s):  
Vitor Antunes Martins da Costa ◽  
Adeliton da Fonseca de Oliveira ◽  
Jhonathan Gomes dos Santos ◽  
Alex Augusto Abreu Bovo ◽  
Danilo Roberti Alves de Almeida ◽  
...  
Keyword(s):  
Forest Management ◽  
Tropical Forest ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Airborne Laser ◽  
Tropical Forest Management

scholarly journals Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning

Forests ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1724
Author(s):  
Cristiano Rodrigues Reis ◽  
Eric Bastos Gorgens ◽  
Danilo Roberti Alves de Almeida ◽  
Carlos Henrique Souza Celes ◽  
Jacqueline Rosette ◽  
...  
Keyword(s):  
Forest Management ◽  
Tropical Forest ◽  
Laser Scanning ◽  
Sustainable Forest Management ◽  
Point Clouds ◽  
Field Work ◽  
Airborne Laser Scanning ◽  
Operational Planning ◽  
Amazon Forest ◽  
Airborne Laser

(1) Background: Forests throughout the world are managed to fulfil a range of commercial and ecosystem services. The same applies to managed areas of the Amazon forest. We explore a method of sustainable forest management (SFM) which anticipates the result of processes of natural mortality of large, mature trees that could fall and damage their neighbors. Collecting all the information required for planning logging in the Brazilian Amazon is, currently, a hard, time-consuming and expensive task. (2) Methods: This information can be obtained more quickly, accurately and objectively by including airborne laser scanning (ALS) products in the operational plan. We used ALS point clouds to isolate emergent crowns from the canopy height model. Then, we performed field work to validate the existence of these trees, and to understand how many commercial trees (tree diameter ≥ 50 cm) we identified by orienting the trees search through the emergent canopy model. (3) Results: We were able to detect 184 (54.4%) trees from 338 field-recorded individuals in 20 plots (totaling 8 ha). Of the detected trees, 66 individuals were classified as having potential for commerce. Furthermore, 58 individuals presented the best stem quality for logging, which represents more than seven high quality commercial trees per hectare. The logistic regression showed that the effects that positively influence the emergent crown formation are strongly presented in the commercial species. (4) Conclusions: Using airborne laser scanning can improve the SFM planning in a structurally complex, dense and mixed composition tropical forest by reducing field work in the initial stages of management. Therefore, we propose that ALS operational planning can be used to more efficiently direct field surveys without the need for a full census.

scholarly journals Comparison of Airborne Laser Scanning (3D) with Sentinel-2 (2D) for Estimating Above Ground Biomass/Carbon Stock in a Subtropical Chir Pine Forest of Balakot, Pakistan

2021 ◽  
Author(s):  
Sami Ullah ◽  
Tahir Saeed ◽  
Muhammad Shafique ◽  
Muhammad Saad ◽  
Adnan Khan
Keyword(s):  
Carbon Stock ◽  
Laser Scanning ◽  
Forest Ecosystems ◽  
Pine Forest ◽  
Airborne Laser Scanning ◽  
Biomass Carbon ◽  
Above Ground Biomass ◽  
Airborne Laser ◽  
Chir Pine ◽  
Sentinel 2

Abstract Forest ecosystems act as a sink of atmospheric carbon dioxide in the form of biomass, and plays one of the crucial role for carbon sequestration and in regulating the global carbon cycle. Few studies based on ground sample plots were conducted for estimating forest biomass/carbon stock across Pakistan. This study comparing the first time the potential of three dimensional (3D) airborne laser scanning (ALS) with two dimensional (2D) Sentinel-2 to estimate above-ground biomass/carbon stock (AGB/C) in a Subtropical Chir Pine forest of Balakot, Pakistan. We derived height and density metrics from the ALS canopy height model (CHM), and different metrics from Sentinel-2 images, and were regressed with field measured AGB/C at sample plots locations. We found R2 = 0.86 with RMSE% = 25.70, and R2 = 0.62 with RMSE% = 43.92 for ALS and for Sentinel-2 respectively with ground measured AGB/C at sample plots locations. Our study demonstrated that 3D ALS technology has greater potential and is the most accurate option as compared to 2D Sentinel-2 for regular planning and monitoring of AGB/C in the context of the national forest inventory of Pakistan. Our study will be useful for the accomplishment of the REDD+ in measuring, reporting, and verification of forest resources, and future sustainable utilization of forest, safeguarding the livelihoods of forest-dependent people, and reducing pressure on forest ecosystems.

Generating an optimal DTM from airborne laser scanning data for landslide mapping in a tropical forest environment

Geomorphology ◽  
2013 ◽  
Vol 190 ◽  
pp. 112-125 ◽  
Author(s):  
Khamarrul Azahari Razak ◽  
Michele Santangelo ◽  
Cees J. Van Westen ◽  
Menno W. Straatsma ◽  
Steven M. de Jong
Keyword(s):  
Tropical Forest ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Forest Environment ◽  
Airborne Laser ◽  
Landslide Mapping

scholarly journals AUTOMATED INDIVIDUAL TREE DETECTION IN AMAZON TROPICAL FOREST FROM AIRBORNE LASER SCANNING DATA

CERNE ◽  
2019 ◽  
Vol 25 (3) ◽  
pp. 273-282
Author(s):  
PEDRO HENRIQUE KARANTINO MILLIKAN ◽  
CARLOS ALBERTO SILVA ◽  
Luiz Carlos Estraviz Rodriguez ◽  
Tupiara Mergen de Oliveira ◽  
Mariana Peres de Lima Chaves e Carvalho ◽  
...  
Keyword(s):  
Tropical Forest ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Individual Tree ◽  
Tree Detection ◽  
Airborne Laser

The effects of field plot size on model-assisted estimation of aboveground biomass change using multitemporal interferometric SAR and airborne laser scanning data

2015 ◽  
Vol 168 ◽  
pp. 252-264 ◽  
Author(s):  
Erik Næsset ◽  
Ole Martin Bollandsås ◽  
Terje Gobakken ◽  
Svein Solberg ◽  
Ronald E. McRoberts
Keyword(s):  
Aboveground Biomass ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Field Plot ◽  
Plot Size ◽  
Airborne Laser ◽  
Interferometric Sar

scholarly journals An improved algorithm for identifying shallow and deep-seated landslides in dense tropical forest from airborne laser scanning data

CATENA ◽  
2018 ◽  
Vol 167 ◽  
pp. 147-159 ◽  
Author(s):  
Mustafa Ridha Mezaal ◽  
Biswajeet Pradhan
Keyword(s):  
Tropical Forest ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Airborne Laser ◽  
Improved Algorithm
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