Filters








630 Hits in 10.4 sec

New Geospatial Approaches for Efficiently Mapping Forest Biomass Logistics at High Resolution over Large Areas

John Hogland, Nathaniel Anderson, Woodam Chung
2018 ISPRS International Journal of Geo-Information  
For an 8 million hectare study area, we used raster-based methods and tools to quantify and visualize these supply metrics at 10 m 2 spatial resolution.  ...  (1) the total biomass stocks available within an economically efficient transportation distance; (2) the cost of logistics to move the required stocks from the forest to the facility.  ...  For our purposes, it was important to characterize biomass stocks, flows, and costs at tactical scales (i.e., at a fine spatial resolution (10 m 2 ) across the study area) in a realistic, efficient, and  ... 
doi:10.3390/ijgi7040156 fatcat:2isptjzuurgvtcgovnl554o7dq

High-fidelity national carbon mapping for resource management and REDD+

Gregory P Asner, Joseph Mascaro, Christopher Anderson, David E Knapp, Roberta E Martin, Ty Kennedy-Bowdoin, Michiel van Breugel, Stuart Davies, Jefferson S Hall, Helene C Muller-Landau, Catherine Potvin, Wayne Sousa (+2 others)
2013 Carbon Balance and Management  
Conclusions The national carbon map revealed strong abiotic and human controls over Panamanian carbon stocks, and the new level of detail with estimated uncertainties for every individual hectare in the  ...  Conclusions: The national carbon map revealed strong abiotic and human controls over Panamanian carbon stocks, and the new level of detail with estimated uncertainties for every individual hectare in the  ...  Acknowledgements We thank the Carnegie Institution and Smithsonian Institution for logistical support during the airborne mapping campaign. We thank M. Colgan, A.  ... 
doi:10.1186/1750-0680-8-7 pmid:23866822 pmcid:PMC3717137 fatcat:xyuqe574dbfhrg7k5zdezdvaw4

Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations

Hyung-Sup Jung, Saro Lee, Biswajeet Pradhan
2020 Sustainability  
, (4) landslides, (5) mining, (6) biomass, (7) groundwater, and (8) urban development using the techniques of remote sensing and geospatial information systems.  ...  We hope that this Special Issue is helpful for sustainable applications.  ...  Acknowledgments: We are thankful for the contributions of professional authors and reviewers and the excellent assistant of the editorial team of Sustainability.  ... 
doi:10.3390/su12062390 fatcat:25dbd2bvnvfdhe6bvdx7yjnnda

Evaluating Biomass of Juniper Trees (Juniperus pinchotii) from Imagery-Derived Canopy Area Using the Support Vector Machine Classifier

Mustafa Mirik, Sriroop Chaudhuri, Brady Surber, Srinivasulu Ale, Robert James Ansley
2013 Advances in Remote Sensing  
These results suggest that spectral reflectance recorded on 2D high resolution imagery is capable to assess and quantify AGB as a quick, repeatable, and unbiased method over large land areas.  ...  (2D) geospatial imagery with a 1-m spatial resolution at two sites; and 2) develop regression models relating imagery-derived and fieldmeasured single tree canopy area and diameter for dry AGB estimation  ...  We also thank Mimi Roy for technical discussion and Andy Bell for assisting with data collection.  ... 
doi:10.4236/ars.2013.22021 fatcat:35dh5p3ouraffi56knycoc4kru

Performance enhancement of a GIS-based facility location problem using desktop grid infrastructure

Andrés García García, Carolina Perpiñá, Carlos de Alfonso, Vicente Hernández
2013 Earth Science Informatics  
A case study focused on a discrete facility location problem, in the biomass area, exemplifies the high amount of computing resources (CPU, memory, HDD) required to solve the spatial problem.  ...  Abstract This paper presents the integration of desktop grid infrastructure with GIS technologies, by proposing a parallel resolution method in a generic distributed environment.  ...  from the centroid of each 1km square of the grid covering the agricultural and forestry biomass amount over the study area.  ... 
doi:10.1007/s12145-013-0119-1 fatcat:b7t37nifpbgv3jzx2qx7zpwscy

GIS Application for the Estimation of Bioenergy Potential from Agriculture Residues: An Overview

Avinash Bharti, Kunwar Paritosh, Venkata Ravibabu Mandla, Aakash Chawade, Vivekanand Vivekanand
2021 Energies  
The data taken by satellite are useful for assessment of the areas with the help of satellite images taken in high resolution, which increases the preciseness of estimation.  ...  An agriculture cropland map with agricultural statistics has been analyzed in GIS to discover the agricultural straw potential for bioenergy generation.  ...  Nonetheless, costs of mapping efficient road network for transporting biomass, a high-resolution image (e.g., a 5.8 m spatial resolution LISS-IV image) is required to obtain all the details of a study  ... 
doi:10.3390/en14040898 fatcat:qtcky5zlxbhuxirfli7tnbctla

Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory

Andrew J. Lister, Hans Andersen, Tracey Frescino, Demetrios Gatziolis, Sean Healey, Linda S. Heath, Greg C. Liknes, Ronald McRoberts, Gretchen G. Moisen, Mark Nelson, Rachel Riemann, Karen Schleeweis (+3 others)
2020 Forests  
Efficiencies can be gained by incorporating auxiliary information derived from remote sensing (RS) into ground-based forest inventories.  ...  The goal of this review is to offer FIA's experience with NFI-RS integration as a case study for other countries wishing to improve the efficiency of their NFI programs.  ...  Department of Agriculture, Forest Service. The authors thank the contributions of a multitude of FIA staff and partners who have contributed to the research described herein.  ... 
doi:10.3390/f11121364 fatcat:etjpx4s7wnhj7ddrhf7rpe2kum

Potential environmental benefits from woodfuel transitions in Haiti: Geospatial scenarios to 2027

Adrian Ghilardi, Andrew Tarter, Robert Bailis
2018 Environmental Research Letters  
Under a business-as-usual scenario, the simulated regenerative capacity of woody biomass is insufficient to meet Haiti's increasing demand for wood energy and, as a result, between 2017 and 2027 stocks  ...  Forests are severely degraded and the nation has long been considered an archetypal case of woodfuel-driven deforestation.  ...  Acknowledgments This work was supported by the Global Alliance for Clean Cookstoves (grant no. PR-16-40691), with funds originating from Global Affairs Canada.  ... 
doi:10.1088/1748-9326/aaa846 fatcat:qqdru5lzcvdp7f6klpujlq3zg4

Integrating Landsat pixel composites and change metrics with lidar plots to predictively map forest structure and aboveground biomass in Saskatchewan, Canada

Harold S.J. Zald, Michael A. Wulder, Joanne C. White, Thomas Hilker, Txomin Hermosilla, Geordie W. Hobart, Nicholas C. Coops
2016 Remote Sensing of Environment  
In this study we predict and map forest structure and aboveground biomass over 37 million ha of forestland in Saskatchewan, Canada.  ...  However, in remote and unmanaged areas such as Canada's northern forests, financial and logistic constraints can severely limit the availability of inventory plot data.  ...  funded by the Canadian Space Agency (CSA) Government Related Initiatives Program (GRIP) and the Canadian Forest Service (CFS) of Natural Resources Canada.  ... 
doi:10.1016/j.rse.2016.01.015 fatcat:btxtbudmlrc2nnpuwvn7zg2f7u

Assessment Techniques in Forest Biomass along the Timber Supply Chain

Woo, Acuna, Cho, Park
2019 Forests  
The review also discusses techniques for supply chain and management planning and highlights the limitations of existing information and communication technology (ICT) implemented for forest biomass research  ...  Several logistical and supply chain challenges have already been identified, including uncertainty about the nature, amount, and quality of forest residues.  ...  There are multiple data sources such as the Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) that can help develop biomass availability maps using  ... 
doi:10.3390/f10111018 fatcat:7jlr4c7p3za3jgdc345mtgphyy

Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover

Xiao-Peng Song, Chengquan Huang, Joseph Sexton, Saurabh Channan, John Townshend
2014 Remote Sensing  
Our approach is founded on two realistic assumptions: (1) land cover disturbances are rare events over large geographic areas that occur within a short time frame; and (2) spatially discrete land cover  ...  evaluated using a large sample of Landsat-based forest disturbance data.  ...  Acknowledgments This study was funded by NASA's Earth and Space Science Fellowship (NESSF) Program (NNX12AN92H), the Making Earth System Data Records for Use in Research Environments  ... 
doi:10.3390/rs6098878 fatcat:opmtyfqeo5ax3fwhrzgjpd2oxy

Methodologies and applications in Digital China

JingNong Weng, Irfan Rafique, Maissom Qanber Abbasi
2012 Chinese Science Bulletin  
There have been significant advancements in areas like Digital Earth (DE) concept and frameworks, spatial data modeling, storage and processing, information processing technologies for DE, emerging technologies  ...  Digital China, spatial information and technology, new research advancement Citation: Weng J N, Rafique I, Abbasi M Q.  ...  With the aid of this atmospheric correction approach, the water-leaving radiance over Chinese coastal water area has been derived successfully.  ... 
doi:10.1007/s11434-012-5446-y fatcat:acv3b4l5mfb55fsqkcbrd55zka

Detecting understory plant invasion in urban forests using LiDAR

Kunwar K. Singh, Amy J. Davis, Ross K. Meentemeyer
2015 International Journal of Applied Earth Observation and Geoinformation  
Our results demonstrate the superiority of LiDAR-derived metrics over spectral data and fusion of LiDAR and spectral data for accurately mapping the spatial distribution of the forest understory invader  ...  Using random forest (RF) and logistic regression (LR) classifiers, we assessed the relative contributions of LiDAR and IKONOS derived variables to the detection of L. sinense.  ...  We also thank fellow graduate students from the Center for Geospatial Analytics, North Carolina State University, for their comments and feedback on the manuscript.  ... 
doi:10.1016/j.jag.2015.01.012 fatcat:wlxh3xcoojgpri3beqlhnbq5li

A Systematic Review of Small Domain Estimation Research in Forestry During the Twenty-First Century From Outside the United States

Richard W. Guldin
2021 Frontiers in Forests and Global Change  
Small area estimation research is how forest biometricians at the science-policy interface build bridges to inform decisions by forest managers, landowners, and investors.  ...  Small area estimation (SAE) research on forest statistics has typically studied a subset of core environmental statistics for a limited geographic domain.  ...  Improving aboveground forest biomass maps: from high-resolution to national scale. Rem.  ... 
doi:10.3389/ffgc.2021.695929 fatcat:jnzfm5b5s5ea7cgip6woxbi5tq

Spatial forest biomass supply chain analysis in Finland

Olli-Jussi Korpinen
2021 Dissertationes Forestales  
The main conclusion is that a spatial precision of between 1 km and 10 km, where each point of origin represents roughly an area of 1-100 km 2 , is sufficient for forest biomass data in Finnish BSC systems  ...  The forest biomass supply represents an important part of the value chain for different woodbased products, and its environmental impacts are also frequently crucial.  ...  to its School of Forest Sciences for providing me with  ... 
doi:10.14214/df.323 fatcat:vjl3fkm3pzcjja6jqkcyf3w6oe
« Previous Showing results 1 — 15 out of 630 results