Historical forest biomass dynamics modelled with Landsat spectral trajectories

Acknowledgements National Forest Inventory data are available online, provided by Ministerio de Agricultura, Alimentación y Medio Ambiente (España). Landsat images are available online, provided by the USGS.Peer reviewedPostprin

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LIST OF FIGURES -- LIST OF TABLES -- PREFACE -- CHAPTER 1— BACKGROUND & OVERVIEW: Alaska’s Native Lands: Alaska Native Claims Settlement Act Lands: Regional Corporations, Village Corporations, Additional ANCSA Land Entitlements, Former Native Reserve Lands; Other Native Lands: Native Allotments, Annette Island Reservation; Native Land Status; Alaskan Forests; What is a Forest Inventory?; Forest Inventories in Alaska; Forest Inventories on Native Land -- CHAPTER 2 — DETERMINING THE NEED FOR AN INVENTORY: Existing Forest Inventory Information; Agency Inventories: Forest Service Inventories, Bureau of Indian Affairs Inventories, Tanana Chiefs Conference Inventories; Level of Inventory -- CHAPTER 3 — INVENTORY PLANNING: Gathering Information; Planning Considerations: Why is This Inventory Needed?, Where will the Inventory Take Place?, What needs to be Inventoried and What Information is to be Collected?, Who is Going to do the Inventory?, When will the Inventory Take Place?, How is the Inventory going to be Done and How will the Data be Processed?, How Much is the Inventory going to Cost?, Unique Alaskan Constraints: Transportation Logistics, Adverse Weather, Musket, Dangerous Wildlife, Vegetation Barriers, Availability of Supplies and Fuel; Advantages of Planning -- CHAPTER 4 — HOW FOREST INVENTORIES ARE CONDUCTED: Maps and Aerial Photographs: Using Aerial Photographs in Forest Inventories, Using Aerial Photographs for Timber Typing; Statistical Considerations of a Forest Inventory: Variability of the Sample, Number of Samples, Sampling Design; Field Measurements: Tree Height, Tree Diameter and Taper, Tree Defects, Tree Age and Growth, Site Conditions, Forestry Equipment -- CHAPTER 5 — AFTER THE FIELD WORK IS DONE: Compilation of Data; When the Inventory is Complete; Looking Toward the Future -- BIBLIOGRAPHY -- APPENDIX I - ALASKA’S PRINCIPAL TREE SPECIES -- APPENDIX II — USES OF ALASKA'S PRINCIPAL TREE SPECIES -- APPENDIX III — FORESTY CONSULTANTS IN ALASKA -- APPENDIX IV — TECHNICAL ASSISTANCE DIRECTORY -- APPENDIX V — SAMPLE OUTLINE FOR DEVELOPING A FOREST INVENTORY PLAN -- APPENDIX VI — USGS OFFICES IN ALASKA -- APPENDIX VII — NATURAL RESOURCES SCHOOLS IN ALASK

What do we know about Russian forests today?

The paper presents a short analysis of state and accuracy of forest inventory in Russia during 1961-2009. Major numerical characteristics for all forests of the country, which were obtained by system integration of remote sensing products and on-ground information are discussed and compared with data of official forest inventory. Necessity of development a new forest inventory system in Russia is discussed

Size and frequency of natural forest disturbances and Amazon carbon balance

Forest inventory studies in the Amazon indicate a large terrestrial carbon sink. However, field plots may fail to represent forest mortality processes at landscape-scales of tropical forests. Here we characterize the frequency distribution of disturbance events in natural forests from 0.01 ha to 2,651 ha size throughout Amazonia using a novel combination of forest inventory, airborne lidar and satellite remote sensing data. We find that small-scale mortality events are responsible for aboveground biomass losses of B1.28 Pg C y 1 over the entire Amazon region. We also find that intermediate-scale disturbances account for losses of B0.01 Pg C y 1 , and that the largest-scale disturbances as a result of blow-downs only account for losses of B0.003 Pg C y 1 . Simulation of growth and mortality indicates that even when all carbon losses from intermediate and large-scale disturbances are considered, these are outweighed by the net biomass accumulation by tree growth, supporting the inference of an Amazon carbon sink

Using Unmanned Aerial Systems for Deriving Forest Stand Characteristics in Mixed Hardwoods of West Virginia

Forest inventory information is a principle driver for forest management decisions. Information gathered through these inventories provides a summary of the condition of forested stands. The method by which remote sensing aids land managers is changing rapidly. Imagery produced from unmanned aerial systems (UAS) offer high temporal and spatial resolutions to small-scale forest management. UAS imagery is less expensive and easier to coordinate to meet project needs compared to traditional manned aerial imagery. This study focused on producing an efficient and approachable work flow for producing forest stand board volume estimates from UAS imagery in mixed hardwood stands of West Virginia. A supplementary aim of this project was to evaluate which season was best to collect imagery for forest inventory. True color imagery was collected with a DJI Phantom 3 Professional UAS and was processed in Agisoft Photoscan Professional. Automated tree crown segmentation was performed with Trimble eCognition Developer’s multi-resolution segmentation function with manual optimization of parameters through an iterative process. Individual tree volume metrics were derived from field data relationships and volume estimates were processed in EZ CRUZ forest inventory software. The software, at best, correctly segmented 43% of the individual tree crowns. No correlation between season of imagery acquisition and quality of segmentation was shown. Volume and other stand characteristics were not accurately estimated and were faulted by poor segmentation. However, the imagery was able to capture gaps consistently and provide a visualization of forest health. Difficulties, successes and time required for these procedures were thoroughly noted

National Forest Inventory (NFI)

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Особенности лесоустройства на современном этапе

SPECIAL ASPECTS OF FOREST INVENTORY AT THE PRESENT STAGE V. BUYKOПриводятся сведения об истории возникновения и развития лесоустройства, содержании лесоустроительных работ, роли и месте лесоустройства в системе ведения лесного хозяйства на современном этапе. Освещаются вопросы совершенствования технологии инвентаризации (таксации) леса: использование приборов навигации и материалов аэрокосмической съемки, терминальный ввод таксационной характеристики насаждений в электронную карточку таксации. Технология автоматизированного формирования точных планово-картографических материалов лесоустройства (Formod). Приводится информация о других направлениях деятельности лесоустроительного предприятия, где тесно переплетается геодезическая наука с практикой ведения лесного хозяйства.=The author discuses history and development of forest inventory, the content, role and place of forest inventory in the system of forestry management at the present stage. Such aspects of improvement of forest inventory (valuation)as use of navigation devices, remote sensing data, and terminal entry of the forest taxation characteristics into electronic cards of valuation are risen up. Technology of automatized deriving of precise cartographic material of forest inventory (Formod) is highlighted. Information on other activities of the forest management enterprise where the geodetic science closely intertwines with practice of maintaining forestry is provided

Hand-Held Personal Laser Scanning – Current Status and Perspectives for Forest Inventory Application

The emergence of hand-held Personal Laser Scanning (H-PLS) systems in recent years resulted in initial research on the possibility of its application in forest inventory, primarily for the estimation of the main tree attributes (e.g. tree detection, stem position, DBH, tree height, etc.). Research knowledge acquired so far can help to direct further research and eventually include H-PLS into operational forest inventory in the future. The main aims of this review are: Þ to present the current state of the art for H-PLS systems Þ briefly describe the fundamental concept and methods for H-PLS application in forest inventory Þ provide an overview of the results of previous studies Þ emphasize pros and cons for H-PLS application in forest inventory in relation to conventional field measurements and other similar laser scanning systems Þ highlight the main issues that should be covered by further H-PLS-based forest inventory studies