2013-07-21 NRMI: NATURAL RESOURCE MONITORING ITEMS OF INTEREST
This Issue: Terrestrial LiDAR and Urban Trees and Some Other Good Things
BUT FIRST, WON’T YOU PLEASE HELP? Legacy Regression Programs Sought - Dr. Tim Gregoire, Yale University, writes. “In 1958, Lew Grosenbaugh published a USDA Forest Service Occasional Paper 158 with the title "The elusive formula of best fit: a comprehensive new machine program". It was advertising a new service: a regression program written in Fortran to run on the IBM 704 Electronic Data Processing Machine. It would fit all possible regressions and could accommodate up to 9 "independent" variables and a maximum of 500 observations. This was superseded in 1967 by REX--Fortran-4 System, that Lew wrote about in USDA Forest Service Research paper PSW-44. Then concurrent with his ongoing development of 3P sampling, he developed "STX--Fortran-4 Program for estimates of tree populations from 3P sample-tree-measurements". An early reference is USDA Forest Service Research Paper PSW-13, Revised, published in 1967. Lew would famously, or infamously, install STX on university mainframes in person and without the aid of the local computer technicians. I believe Harold Burkhart recalls when he did so at Virginia Tech. Later, Jim Space put out STXMOD. I wonder whether there are any legacy versions of these programs still around. If you can assist, please contact Tim at firstname.lastname@example.org.
TERRESTRIAL LIDAR AND URBAN TREES. Luiz Octavio de Lima Pedreira was seeking data about the use of land-based LIDAR scanning to determine the volume of standing trees, with emphasis in street trees. Here are some sites that may be of interest. If you know of others, please contact Luiz at email@example.com.
Changok, Lim. 2007. Estimation of urban tree crown volume based on object-oriented approach and LIDAR data. Thesis. 87 p.
Garrity, Steven R. et al. 2012. Estimating plot-level tree structure in a deciduous forest by combining allometric equations, spatial wavelet analysis and airborne LiDAR, Remote Sensing Letters, 3:5, 443-451.
Lefsky, Michael A. et al. 2002? Lidar Remote Sensing for Ecosystem Studies. BioScience 52(1):19–30.
Lefsky, Michael; McHale, Melissa R. 2008. . Volume estimates of trees with complex architecture from terrestrial laser scanning. J. Appl. Remote Sens. 2(1). Abstract.
Lewis, P.; Hancock, S. 2007. LiDAR for vegetation applications. 29 p.
Lin, Yi et al. 2012. Tree Height Growth Measurement with Single-Scan Airborne, Static Terrestrial and Mobile Laser Scanning. Sensors (Basel) 12(9): 12798–12813.
McHale, M.R. et al. 2009. Urban forest biomass estimates: is it important to use allometric relationships developed specifically for urban trees. Urban Ecosyst 12:95–113.
Morales, D.J et al. 1983. Two methods of evaluating trees on residential sites. Journal of Arboriculture, 9(1): 21-24.
Miyamoto, Matt. 2010. Tips & Tricks for Creating Civil 3D Surfaces from LiDAR Data. 30 p.
Moskal, L. Monika et al.2010? Lidar Applications in Precision Forestry, 10 p.
Moskal, L. Monika; Zheng, Guang. 2012. Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest. Remote Sens. 4:1-20.
Ni‐Meister, W. et al. 2010. Assessing general relationships between aboveground biomass and vegetation structure parameters for improved carbon estimate from lidar remote sensing, J. Geophys. Res., 115,.
O’Beirne, Dara. 2012. Measuring the urban forest: comparing lidar derived tree heights to field measurements. Thesis. 55 p.
Popescu, Sorin C. et al. 2009? Expansion of Texas Land Use/Land Cover through Class Crosswalking and Lidar Parameterization of Arboreal Vegetation. 56 p.
Qiu, Fang. N.d. LiDAR and Hyperspectral Imagery Based Urban Tree Inventory. 50 slides.
Raber, Brian R. et al.2005. Lidar guidebook: concepts, project design, and practical applications. URISA. 64 p.
Rentsch, M et al. 2011. Extraction of Non-forest Trees for Biomass Assessment Based on Airborne and Terrestrial LiDAR Data. Photogrammetric Image Analysis Lecture Notes in Computer Science Volume 6952: 121-132. Page 1.
Sheridan, Ryan D. 2011. Modeling plot-level biomass and volume using airborne and terrestrial Llidar measurements. Thesis. 117 p.
Shrestha, R.; Wynne, R.H. 2912. Estimating Biophysical Parameters of Individual Trees in an Urban Environment Using Small Footprint Discrete-Return Imaging Lidar. Remote Sens. 2012, 4, 484-508.
Tian, X. et al. 2011. Estimating zero-plane displacement height and aerodynamic roughness length using synthesis of LiDAR and SPOT-5 data, Remote Sensing of Environment 115: 2330-2341.
Vazirabad, Yashar Fallah; Karslioglu, Mahmut Onur.2911. Lidar for Biomass Estimation.. 25 p.
Vonderach, Christian, et al. 2012. Terrestrial laser scanning for estimating urban tree volume and carbon content. International Journal of Remote Sensing 33(21): 6652-6667. Abstract.
Young, C. Bryan. 2013. Assessing LiDAR Elevation Data for KDOT Applications. Report No. K-TRAN: KU-10-8 ▪ FINAL REPORT. 24 p.
SOME OTHER PUBLICATIONS/URLS OF INTEREST
Real, R., et al. 2013. Estimating how inflated or obscured effects of climate affect forecasted species distribution. PLoS ONE 8(1):e53646.
Redpath, S.M., et al. 2013. Understanding and managing conservation conflicts. Trends Ecol. Evol. 28(2):100-109.
Reich, Robin M. et al. 2008. An innovative approach to inventory and monitoring of natural resources in the Mexican State of Jalisco. Environ. Monit. Assess 146:383-396. 1st page.
Reymer, Arthur, et al. n.d. Low Altitude Remote Sensing with UAS. TNO Feature Article
Rick, T.C.; Lockwood, R. 2013. Integrating paleobiology, archeology, and history to inform biological conservation. Conserv. Biol. 27(1):45-54.
Roach, K.A. 2013. Texas water wars: how politics and scientific uncertainty influence environmental flow decision-making in the Lone Star state. Biodivers. Conserv. 22(3):545-565. Abstract.
Robarts, R.D., et al. 2013. The State of knowledge about wetlands and their future under aspects of global climate change: the situation in Russia. Aquat. Sci. 75(1):27-38. Page 1.
Rocha-Santos, L.; Talora, D.C. 2012. Recovery of Atlantic Rainforest areas altered by distinct land-use histories in northeastern Brazil. Trop. Conserv. Sci. 5(4):475-494.
Rodríguez, A., et al. 2012. The eye in the sky: combined use of unmanned aerial systems and GPS data loggers for ecological research and conservation of small birds. PLoS ONE 7(12):e50336.
Romero, D., et al. 2013. Comparative assessment of different methods for using land-cover variables for distribution modelling of Salamandra salamandra longirotris. Environ. Conserv. 40(1):48-59. Summary
Ronconi, R.A., et al. 2012. The role of seabirds in Marine Protected Area identification, delineation, and monitoring: Introduction and synthesis. Biol. Conserv. 156:1-4.
Runting, R.K., et al. Does more mean less? The value of information for conservation planning under sea level rise. Global Change Biol. 19(2):352-363. Abstract.
Santangeli, A., et al. 2013. Integrating multi-source forest inventory and animal survey data to assess nationwide distribution and habitat correlates of the Siberian flying squirrel. Biol. Conserv. 157:31-38. Abstract.
Sartori, A.A.D., et al.. 2012. Weighted linear combination of a GIS environment in the definition of priority areas for connectivity among forest fragments. Rev. Arvore 36(6):1079-1090. Abstract.
Sawyer, Geoff; de Vries, Marc. 2012. About GMES and Data: Geese and Golden Eggs – Study of the economic benfits of a free and open data policy for Sentinel Satellite Data. Final Report. 80 p. From Artur Gil, Applied GIS RS List.
Schoenmaker, Annelie. 2011. Community remote sensing legal issues, 13 p.
Senior, M.J.M., et al. 2013. Trait-dependent declines of species following conversion of rain forest to oil palm plantations. Biodivers. Conserv. 22(1):253-268. Page 1
Senseman, Gary M. et al. 1995. Accuracy Assessment of the Discrete Classification of Remotely-Sensed Digital Data for Landcover Mapping. EN 95/04. 31 p.
Slonecker, E. Terrence et al. 1998, Emerging Legal and Ethical Issues in Advanced Remote Sensing Technology. . Photogrammetric Engineering & Remote Sensing 64(9):. 589-595.
Squillace, Mark. 2013. Draft Forest Planning Rule: Public comment ideas. Red Lodge Clearinghouse.
Staff. 2013. Will we need to water the forests? SmallTownPapers News Service
Taylor, S.E. et al. 2002? Precision forestry: operational tactics for today and tomorrow. 6 p.
Taylor, Steven E. et al. 2006? Precision forestry in the southeast U.S. 18 p
Thompson, I. D., et al. 2013. An operational framework for defining and monitoring forest degradation. Ecology and Society 18(2): 20.
Thompson, Kenneth P. 2007, A political history of U.S. commercial remote sensing, 1984-2007: conflict, collaboration, and the role of knowledge in the high-tech world of earth observation satellites. Dissertation. 322 p.
Tian, J. et al. 2013 .Region-based automatic building and forest change detection on Cartosat-1 stereo imagery. ISPRS Journal of Photogrammetry and Remote Sensing 79: 226-239. Abstract.
Toral, Patel et al. 2013. Predicting Future Conflict under REDD+ Implementation. Forests 4(2): 343-363.
InfoSylva – Issue no. 13/2013 is now available at http://www.fao.org/forestry/37999-047b5e633427bba4d50c07fac77f64a26.pdf.
30 October – 1 November 2013. Introduction to Wetland Remote Sensing & Mapping. Lafayette, Louisiana, USA. Cost $400. Details from Ashley Kidd – firstname.lastname@example.org.
4 - 6 November 2013. Advanced Wetland Photo-Interpretation. Lafayette, Louisiana, USA Cost $400. Details from Ashley Kidd – email@example.com.
12-16 May 2014. Third International Climate Change Adaptation Conference 2014 (Adaptation Futures 2014). Fortaleza - Ceará Brazil. Details at http://adaptationfutures2014.ccst.inpe.br/ . From Artur Gil, Applied GIS RS List.
MOVING AHEAD – OPPORTUNITIES – See also: Scholarships-Positions, Forestry, Arboriculture, Agriculture, Agronomy & Natural Resource Management Jobs at http://www.earthworks-jobs.com/forest.htm, Riley Guide to Agriculture, Forestry, & Farming Jobs http://www.rileyguide.com/agric.html, Finding Your Dream Job in Natural Resources http://www.cyber-sierra.com/nrjobs/, http://www.nature.com/naturejobs/index.html The Job Seekers Guide for International and Environmental Careers http://timresch.net/ejobs/index.htm and Scholarship Listing http://www.scholarshiplisting.com/.
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-- H. Gyde Lund Forest Information Services 6238 Settlers Trail Place Gainesville, VA 20155-1374 USA Tel: +1-703-743-1755 Email: gyde<at>comcast.net URL: http://www.forestinfoservices.com CV: http://home.comcast.net/~gyde/cv.html. Publications: http://home.comcast.net/~gyde/lundpub.htm. Skype: forestgyde