Summary and Analysis of the Forest Inventory Project on the Yakima Indian Reservation
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Accuracy of Smartphone Applications in the Field Measurements of Tree Height
Folia Forestalia Polonica, series A, 2015, Vol. 57 (4), 240–244 SHORT COMMUNICATION DOI: 10.1515/ffp-2015-0025 Accuracy of smartphone applications in the field measurements of tree height Szymon Bijak , Jakub Sarzyński Warsaw University of Sciences-SGGW, Department of Dendrometry and Forest Productivity, Nowoursynowska 159, 02-776 Warsaw, Poland, phone: +48 22 5938093, e-mail: [email protected] AbstrAct As tree height is one of the important variables measured in forestry, much effort is made to provide its fast, easy and accurate determination. We analysed precision of two widely available smartphone applications (Smart Measure and Measure Height) during the field measurements of tree height. The data was collected in three Scots pine stands in central Poland. We found negative systematic error of both tested applications regardless the distance of the measure- ment (15 or 20 m). RMSE values of the height estimates varied from 1.01 to 2.46 m depending on the application used and the distance of the measurement. Value of the calculated absolute and relative errors significantly (p < 0.015) positively depended on the actual height of the measured trees and was more diverse for higher trees. Smartphone applications seem to be promising measurement tool for tree height determination, however as for the time being they require improvement before wider introduction into the forest practice. Key words accuracy, tree height, smartphone, hypsometer, mobile applications IntroductIon Rapid development of the mobile techniques has in- troduced smartphones also into the forestry. Many ap- Tree height is one of the most often determined vari- plications that enable various types of measurements or ables in the forest inventory and in the quantitative calculations have appeared on the market (Hemery 2011, assessment of forest biomass, carbon stocks, growth, 2012). -
Fiscal Year 2016-‐2017 Accountability Report
AGENCY NAME: South Carolina Forestry Commission AGENCY CODE: P120 SECTION: 043 Fiscal Year 2016-2017 AcCountability Report SUBMISSION FORM The mission of the South Carolina Forestry Commission is to protect, promote, enhance, and nurture the woodlands of SC, and to educate the public about forestry issues, in a manner consistent with achieving the greatest good for its citizens. AGENCY MISSION Across all ownerships, South Carolina’s forest resources are managed sustainably to support an expanding forest products manufacturing industry while providing environmental services such as clean air, clean water, recreation and wildlife habitat. AGENCY VISION Please select yes or no if the agency has any major or minor (internal or external) recommendations that would allow the agency to operate more effectively and efficiently. Yes No RESTRUCTURING RECOMMENDATIONS: ☐ ☒ Please identify your agency’s preferred contacts for this year’s accountability report. Name Phone Email PRIMARY CONTACT: Doug Wood (803) 896-8820 [email protected] SECONDARY CONTACT: Tom Patton (803) 896-8849 [email protected] A-1 AGENCY NAME: South Carolina Forestry Commission AGENCY CODE: P120 SECTION: 043 I have reviewed and approved the enclosed FY 2016-2017 Accountability Report, which is complete and accurate to the extent of my knowledge. AGENCY DIRECTOR (SIGN AND DATE): (TYPE OR PRINT Henry E. “Gene” Kodama NAME): BOARD/CMSN. CHAIR (SIGN AND DATE): (TYPE OR PRINT Walt McPhail NAME): A-2 AGENCY NAME: South Carolina Forestry Commission AGENCY CODE: P120 SECTION: 043 AGENCY’S DISCUSSION AND ANALYSIS The SC Forestry Commission was created in 1927 with its General Duties defined in State Code 48-23-90. -
The Use of Lidar Remote Sensing in Measuring Forest Carbon Stocks
1 The Use of LiDAR Remote Sensing in Measuring Forest Carbon Stocks Michael Alan Salopek North Huntingdon, Pennsylvania Bachelor of Arts, University of Virginia, 2012 A Thesis presented to the Graduate Faculty of the University of Virginia in Candidacy for the Degree of Master of Arts Department of Environmental Sciences University of Virginia May, 2013 2 Table of Contents 1. Introduction 2. What is Lidar 2.1 Overview 2.2 What is Lidar 2.3 Lidar Terminology 2.4 Principles and Techniques 2.5 Overview of Applications 2.6 History 3. The Use of Lidar in Biomass Estimation 3.1 Systems 3.1.1 Space-born 3.1.2 Airborne 3.1.3 Terrestrial 3.2 Data Acquisition 3.2.1 First Return, Last Return 3.2.2 Multi Return 3.2.3 Full Wave Form 4. Methods and Models 4.1 Data Pre Processing 4.1.1 Filtering 4.1.2 Interpolation 4.1.3 DTM, DSM, CHM 4.1.4 Quality Assessment 4.2 Methods 4.2.1 Single Tree Detection, Tree Characteristic Detection 5. Examples of Studies in Estimating Carbon Stocks 6. Conclusion 3 Abstract Atmospheric carbon levels have increased dramatically since the industrial revolution, creating an increasing concern in forming a better understanding of the global carbon budget. A key part of this budget involves forest biomass and its ability to act as a source of carbon sink or carbon gain. It is understood that terrestrial areas serve as a large source of carbon sink in terms of the global carbon budget, however the degree of spatial variation, particularly with respect to densely vegetated areas, is less certain. -
Forest Measurements for Natural Resource Professionals, 2001 Workshop Proceedings
Natural Resource Network Connecting Research, Teaching and Outreach 2001 Workshop Proceedings Forest Measurements for Natural Resource Professionals Caroline A. Fox Research and Demonstration Forest Hillsborough, NH Sampling & Management of Coarse Woody Debris- October 12 Getting the Most from Your Cruise- October 19 Cruising Hardware & Software for Foresters- November 9 UNH Cooperative Extension 131 Main Street, 214 Nesmith Hall, Durham, NH 03824 The Caroline A. Fox Research and Demonstration Forest (Fox Forest) is in Hillsborough, NH. Its focus is applied practical research, demonstration forests, and education and outreach for a variety of audiences. A Workshop Series on Forest Measurements for Natural Resource Professionals was held in the fall of 2001. These proceedings were prepared as a supplement to the workshop. Papers submitted were not peer-reviewed or edited. They were compiled by Karen P. Bennett, Extension Specialist in Forest Resources and Ken Desmarais, Forester with the NH Division of Forests and Lands. Readers who did not attend the workshop are encouraged to contact authors directly for clarifications. Workshop attendees received additional supplemental materials. Sampling and Management for Down Coarse Woody Debris in New England: A Workshop- October 12, 2001 The What and Why of CWD– Mark Ducey, Assistant Professor, UNH Department of Natural Resources New Hampshire’s Logging Efficiency– Ken Desmarais, Forester/ Researcher, Fox State Forest The Regional Level: Characteristics of DDW in Maine, NH and VT– Linda Heath, -
“Catastrophic” Wildfire a New Ecological Paradigm of Forest Health by Chad Hanson, Ph.D
John Muir Project Technical Report 1 • Winter 2010 • www.johnmuirproject.org The Myth of “Catastrophic” Wildfire A New Ecological Paradigm of Forest Health by Chad Hanson, Ph.D. Contents The Myth of “Catastrophic” Wildfire: A New Ecological Paradigm of Forest Health 1 Preface 1 Executive Summary 4 Myths and Facts 6 Myth/Fact 1: Forest fire and home protection 6 Myth/Fact 2: Ecological effects of high-intensity fire 7 Myth/Fact 3: Forest fire intensity 12 Myth/Fact 4: Forest regeneration after high-intensity fire 13 Myth/Fact 5: Forest fire extent 14 Myth/Fact 6: Climate change and fire activity 17 Myth/Fact 7: Dead trees and forest health 19 Myth/Fact 8: Particulate emissions from high-intensity fire 20 Myth/Fact 9: Forest fire and carbon sequestration 20 Myth/Fact 10: “Thinning” and carbon sequestration 22 Myth/Fact 11: Biomass extraction from forests 23 Summary: For Ecologically “Healthy Forests”, We Need More Fire and Dead Trees, Not Less. 24 References 26 Photo Credits 30 Recommended Citation 30 Contact 30 About the Author 30 The Myth of “Catastrophic” Wildfire A New Ecological Paradigm of Forest Health ii The Myth of “Catastrophic” Wildfire: A New Ecological Paradigm of Forest Health By Chad Hanson, Ph.D. Preface In the summer of 2002, I came across two loggers felling fire-killed trees in the Star fire area of the Eldorado National Forest in the Sierra Nevada. They had to briefly pause their activities in order to let my friends and I pass by on the narrow dirt road, and in the interim we began a conversation. -
Comparing MODIS Net Primary Production Estimates with Terrestrial National Forest Inventory Data in Austria
Remote Sens. 2015, 7, 3878-3906; doi:10.3390/rs70403878 OPEN ACCESS remote sensing ISSN 2072-4292 www.mdpi.com/journal/remotesensing Article Comparing MODIS Net Primary Production Estimates with Terrestrial National Forest Inventory Data in Austria Mathias Neumann 1,*, Maosheng Zhao 2, Georg Kindermann 3 and Hubert Hasenauer 1 1 Institute of Silviculture, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Str. 82, A-1190 Vienna, Austria; E-Mail: [email protected] 2 Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA; E-Mail: [email protected] 3 Natural Hazards and Landscape, Department of Forest Growth and Silviculture, Federal Research and Training Centre for Forests, Vienna, Seckendorff-Gudent-Weg 8, A-1130 Vienna, Austria; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +43-1-47654-4078; Fax: +43-1-47654-4092. Academic Editors: Randolph H. Wynne and Prasad S. Thenkabail Received: 11 December 2014 / Accepted: 17 March 2015 / Published: 1 April 2015 Abstract: The mission of this study is to compare Net Primary Productivity (NPP) estimates using (i) forest inventory data and (ii) spatio-temporally continuous MODIS (MODerate resolution Imaging Spectroradiometer) remote sensing data for Austria. While forest inventories assess the change in forest growth based on repeated individual tree measurements (DBH, height etc.), the MODIS NPP estimates are based on ecophysiological processes such as photosynthesis, respiration and carbon allocation. We obtained repeated national forest inventory data from Austria, calculated a “ground-based” NPP estimate and compared the results with “space-based” MODIS NPP estimates using different daily climate data. -
Forestry Cde – Junior Division Guide
FORESTRY CDE – JUNIOR DIVISION GUIDE Revised 2013 Junior Forestry CDE Study Guide July 2013 1 TABLE OF CONTENTS Page Introduction 3 Rules can be found on the Rules link. Individual Activities 4 Tree Identification 4 Timber Stand Improvement and/or Thinning 6 Timber Cruising for Cord Volume 9 Land Measurement 11 Hand Compass Practicum 13 Tree/Forest Disorders 15 Timber Cruising for Bd. Ft. Volume 17 Product Classification 18 Reforestation 20 Forest Management 21 Appendixes 22 A Jr. Forestry CDE Score Sheets 23 Tree Identification 23 TSI and/or Thinning 24 Timber Cruising/Cd Volume 25 Land Measurement 26 Hand Compass Practicum 27 Tree/Forest Disorders 28 Timber Cruising for Bd. Ft. Volume 29 Product Classification 30 Reforestation 31 Forest Management 32 B Equipment List 33 Junior Forestry CDE Study Guide July 2013 2 INTRODUCTION Georgia’s forestry industry creates a multi billion-dollar economic impact in the state annually. There are thousands of jobs created as a result of the abundant forestry resources across the state of Georgia. The Jr. Forestry Career Development Event promotes conservation of and is an asset to the forestry resources in Georgia. This guide is intended to be a supplement to the Agricultural Education Curriculums in Forestry, Natural Resources and the Environment. It should also serve as an aid in preparing students for the forestry-related CDE’s throughout the state. It is not intended to be a teaching unit or textbook. The objectives for this publication and the various FFA forestry-related career development events are to aid the teacher in: 1. Teaching students the practical application of natural resources management practices. -
Reineke's Stand Density Index
Reineke’s Stand Density Index: Where Are We and Where Do We Go From Here? John D. Shaw USDA Forest Service, Rocky Mountain Research Station 507 25th Street, Ogden, UT 84401 [email protected] Citation: Shaw, J.D. 2006. Reineke’s Stand Density Index: Where are we and where do we go from here? Proceedings: Society of American Foresters 2005 National Convention. October 19-23, 2005, Ft. Worth, TX. [published on CD-ROM]: Society of American Foresters, Bethesda, MD. REINEKE’S STAND DENSITY INDEX: WHERE ARE WE AND WHERE DO WE GO FROM HERE? John D. Shaw USDA Forest Service Rocky Mountain Research Station Forest Inventory and Analysis 507 25th Street Ogden, UT 84401 Email: [email protected] Abstract: In recent years there has been renewed interest in Reineke’s Stand Density Index (SDI). Although originally described as a measurement of relative density in single-species, even-aged stands, it has since been generalized for use in uneven-aged stands and its use in multi-species stands is an active area of investigation. Some investigators use a strict definition of SDI and consider indicies developed for mixed and irregularly structured stands to be distinct from Reineke’s. In addition, there is ongoing debate over the use of standard or variable exponents to describe the self-thinning relationship that is integral to SDI. This paper describes the history and characteristics of SDI, its use in silvicultural applications, and extensions to the concept. Keywords: Stand Density Index, self-thinning, density management diagrams, silviculture, stand dynamics INTRODUCTION Silviculturists have long sought, and continue to seek, simple and effective indicies of competition in forest stands. -
Designed to Enrich the Public School* Program If Instruction in Such Fields As
DOCUMENT RESUME ED 028 862 88 RC 003 357 Feasibility Study of Resource-Use, Outdoor Education Center, Taylor County,Florida. Master Enterprises, Athens, Ga. Spons Agency-Office of Education (DHEW), Washington, D.C. Pub Date Dec 66 Note- 78p. EDRS Price MF -$0.50 HC-$4.00 Descriptors-Administrative Organization, Budgets, *Educational Facilities, *FeasibilityStudies, Federal Aid, *Outdoor Education, Program Descriptions, Program Evaluation, *Program Planning,Resource Allocations, Site Analysis, SoCioeconomic Background, *Supplementary Educational Centers Identifiers-*Florida Extensive planning in relation to the establishment of an outdooreducation center in the State of Florida is reported.The proposed outdoor education center. designed to enrich the public school* program ifinstructionin such fields as conservation, recreation, and resource-use, isoutlined. The report contains an account of socioeconomic conditions, a detailed descriptionof the site. !program descriptions, organization and administration information, a descriptionof facilities, an illustrated site plan. a complete setof construction and operating budgets for 3 years of operation, and a philosophyof evaluation. The appendix includes a report on the history of middle Florida, a basic bibliography of teachingmaterials, a list of schools eligible to participate in the project, and a list of organizations and. agencies which could provide assistance to the project. This publication is funded byTitle III of the Elementary and Secondary Education Act of 1965. (SW) Resource Use Outdoor Education Center Taylor County, Fiori Feasibility Study of Resource-Use Outdoor Education Center Taylor County, Florida Prepared by Masters Enterprises, Athens, Georgia, December, 1966 U.S. DEPARTMENT OF HEALTH, EDUCATION it WELFARE OFFICE Of EDUCATION THIS DOCUMENT HAS BEEN REPRODUCED EXACTLY AS RECEIVED FROM THE PERSON OR ORGANIZATION ORIGINATING IT.POINTS OF VIEW OR OPINIONS a STATED DO NOT NECESSARILY REPRESENT OFFICIAL OFFICE OF EDUCATION POSITION OR POLICY. -
Quantifying Impacts of National-Scale Afforestation on Carbon Budgets In
Article Quantifying Impacts of National-Scale Afforestation on Carbon Budgets in South Korea from 1961 to 2014 Moonil Kim 1,2, Florian Kraxner 2 , Yowhan Son 3, Seong Woo Jeon 3, Anatoly Shvidenko 2, Dmitry Schepaschenko 2 , Bo-Young Ham 1, Chul-Hee Lim 4 , Cholho Song 3 , Mina Hong 3 and Woo-Kyun Lee 3,* 1 Environmental GIS/RS Center, Korea University, Seoul 02841, Korea 2 Ecosystem Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria 3 Department of Environmental Science and Ecological Engineering, Korea University, Seoul 02481, Korea 4 Institute of Life Science and Natural Resources, Korea University, Seoul 02481, Korea * Correspondence: [email protected]; Tel.: +82-02-3290-3016 Received: 31 May 2019; Accepted: 9 July 2019; Published: 11 July 2019 Abstract: Forests play an important role in regulating the carbon (C) cycle. The main objective of this study was to quantify the effects of South Korean national reforestation programs on carbon budgets. We estimated the changes in C stocks and annual C sequestration in the years 1961–2014 using Korea-specific models, a forest cover map (FCM), national forest inventory (NFI) data, and climate data. Furthermore, we examined the differences in C budgets between Cool forests (forests at elevations above 700 m) and forests in lower-altitude areas. Simulations including the effects of climate conditions on forest dynamics showed that the C stocks of the total forest area increased from 6.65 Tg C in 1961 to 476.21 Tg C in 2014. The model developed here showed a high degree of spatiotemporal reliability. -
Usfs-Fy-2021-Budget-Justification.Pdf
2021 USDA EXPLANATORY NOTES – FOREST SERVICE 1 In accordance with Federal civil rights law and U.S. Department of Agriculture (USDA) civil rights regulations and policies, the USDA, its agencies, offices, and employees, and institutions participating in or administering USDA programs are prohibited from discriminating based on race, color, national origin, religion, sex, gender identity (including gender expression), sexual orientation, disability, age, marital status, family/parental status, income derived from a public assistance program, political beliefs, or reprisal or retaliation for prior civil rights activity, in any program or activity conducted or funded by USDA (not all bases apply to all programs). Remedies and complaint filing deadlines vary by program or incident. Persons with disabilities who require alternative means of communication for program information (e.g., Braille, large print, audiotape, American Sign Language, etc.) should contact the responsible agency or USDA’s TARGET Center at (202) 720- 2600 (voice and TTY) or contact USDA through the Federal Relay Service at (800) 877-8339. Additionally, program information may be made available in languages other than English. To file a program discrimination complaint, complete the USDA Program Discrimination Complaint Form, AD-3027, found online at http://www.ascr.usda.gov/complaint_filing_cust.html and at any USDA office or write a letter addressed to USDA and provide in the letter all of the information requested in the form. To request a copy of the complaint form, call (866) 632-9992. Submit your completed form or letter to USDA by: (1) mail: U.S. Department of Agriculture, Office of the Assistant Secretary for Civil Rights, 1400 Independence Avenue, SW, Washington, D.C. -
Estimation of Individual Tree Metrics Using Structure-From-Motion Photogrammetry
Estimation of Individual Tree Metrics using Structure-from-Motion Photogrammetry A thesis submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geography Jordan M. Miller Department of Geography University of Canterbury 2015 Abstract The deficiencies of traditional dendrometry mean improvements in methods of tree mensuration are necessary in order to obtain accurate tree metrics for applications such as resource appraisal, and biophysical and ecological modelling. This thesis tests the potential of SfM-MVS (Structure-from- Motion with Multi-View Stereo-photogrammetry) using the software package PhotoScan Professional, for accurately determining linear (2D) and volumetric (3D) tree metrics. SfM is a remote sensing technique, in which the 3D position of objects is calculated from a series of photographs, resulting in a 3D point cloud model. Unlike other photogrammetric techniques, SfM requires no control points or camera calibration. The MVS component of model reconstruction generates a mesh surface based on the structure of the SfM point cloud. The study was divided into two research components, for which two different groups of study trees were used: 1) 30 small, potted ‘nursery’ trees (mean height 2.98 m), for which exact measurements could be made and field settings could be modified, and; 2) 35 mature ‘landscape’ trees (mean height 8.6 m) located in parks and reserves in urban areas around the South Island, New Zealand, for which field settings could not be modified. The first component of research tested the ability of SfM-MVS to reconstruct spatially-accurate 3D models from which 2D (height, crown spread, crown depth, stem diameter) and 3D (volume) tree metrics could be estimated.