Forest Monitoring
Forest Monitoring

Author: Borys Tkacz

Publisher: Elsevier Inc. Chapters

Published: 2013-03-16

Total Pages: 34

ISBN-13: 0128055170

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Different monitoring initiatives have been undertaken in Canada and the United States since the 1980s at national and regional scales. In the United States, starting in 1990, partners from federal and state agencies established the Forest Health Monitoring (FHM) program with the goal of monitoring and evaluating the status, conditions, and trends in indicators of forest health. The FHM program has evolved into a system where FHM plots are integrated with the national Forest Inventory and Analysis program. In Canada, early attempts can be traced back to the 1980s with the Acid Rain Early Warning System. After its ending, Canadian forest monitoring was mostly carried out within the redesigned National Forest Inventory, Ecological Monitoring and Assessment Network, and regional initiatives. One of them, implemented in the Athabasca Oil Sands Region of Alberta since 1997, is presented here.

Remote Sensing of Forest Health Trends in the Northern Green Mountains of Vermont
Remote Sensing of Forest Health Trends in the Northern Green Mountains of Vermont

Author: Michael G. Olson

Publisher:

Published: 2012

Total Pages: 192

ISBN-13:

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Northeastern forests are being impacted by unprecedented environmental stressors, including acid deposition, invasive pests, and climate change. Forest health monitoring at a landscape scale is necessary to evaluate the changing condition of forest resources and to inform management of forest stressors. Traditional forest health monitoring is often limited to specific sites experiencing catastrophic decline or widespread mortality. Satellite remote sensing can complement these efforts by providing comprehensive forest health assessments over broad regions. Subtle changes in canopy health can be monitored over time by applying spectral vegetation indices to multitemporal satellite imagery. This project used historical archives of Landsat-5 TM imagery and geographic information systems to examine forest health trends in the northern Green Mountains of Vermont from 1984 to 2009. Results indicate that canopy health has remained relatively stable across most of the landscape, although decline was present in localized areas. Significant but weak relationships were discovered between declining forest health and spruce-fir-paper birch forests at high elevations. Possible causes of decline include the interacting effects of acid deposition, windthrow, and stressful growing environments typical of montane forests.

Spatial Modeling in Forest Resources Management
Spatial Modeling in Forest Resources Management

Author: Pravat Kumar Shit

Publisher: Springer Nature

Published: 2020-10-08

Total Pages: 675

ISBN-13: 3030565424

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This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.