Estimating Area Burned by Wildfire from Landsat Data

Estimating Area Burned by Wildfire from Landsat Data PDF Author: Nancy A. Swanberg
Publisher:
ISBN:
Category : Artificial satellites in remote sensing
Languages : en
Pages : 36

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Estimating Area Burned by Wildfire from Landsat Data

Estimating Area Burned by Wildfire from Landsat Data PDF Author: Nancy A. Swanberg
Publisher:
ISBN:
Category : Artificial satellites in remote sensing
Languages : en
Pages : 36

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First Order Fire Effects Model

First Order Fire Effects Model PDF Author: Elizabeth D. Reinhardt
Publisher:
ISBN:
Category : Fire ecology
Languages : en
Pages : 72

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Book Description
A First Order Fire Effects Model (FOFEM) was developed to predict the direct consequences of prescribed fire and wildfire. FOFEM computes duff and woody fuel consumption, smoke production, and fire-caused tree mortality for most forest and rangeland types in the United States. The model is available as a computer program for PC or Data General computer.

Mapping of Forest Fire Burn Areas from Digital Landsat Data

Mapping of Forest Fire Burn Areas from Digital Landsat Data PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Effect of Revisit Frequency and Availability of Cloud-free Observation on Landsat Global Burned Area Mapping

Effect of Revisit Frequency and Availability of Cloud-free Observation on Landsat Global Burned Area Mapping PDF Author: Andrea Melchiorre
Publisher:
ISBN:
Category : Burning of land
Languages : en
Pages : 272

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Book Description
Fire is one of the most relevant disturbances affecting terrestrial ecosystems globally, altering vegetation, soil, water, and atmospheric composition. Fire causes a non-permanent land cover change, through the removal of vegetation, the deposition of charcoal and ashes, and the exposure of soil; the temporal persistence of these changes is highly variable, ranging from a few weeks in tropical savannas to years in boreal forests. Global burned area products have been systematically generated in the past 20 years from several coarse spatial resolution (250 m - 1 km) Earth Observation (EO) systems. These products are the main input in global biomass burning atmospheric emission inventories, and in the most recent studies on the role of fire in the global carbon cycle and vegetation dynamics. Because of the non-permanent nature of burned areas, the algorithms employed for the generation of global burned area products rely on the availability of daily or near-daily observations from coarse resolution EO systems. The high revisit frequency ensures that a sufficient number of cloud-free observations are generally available globally before burned areas disappear, with few exceptions in known locations of persistent cloud cover. The systematic generation of moderate spatial resolution (10 m - 30 m) burned area products could potentially meet the needs of a variety of fire science and applications communities, and at different scales from global (e.g., pyrogenic carbon emissions estimation) to regional scale (e.g., environmental post-fire assessment and remediation decision support). Algorithms for the generation of moderate resolution burned area maps have been recently prototyped regionally and continentally, and have the potential for global implementation. However, ,moderate resolution sensors have reduced temporal resolution (e.g., 16 days for Landsat) compared to coarse resolution sensors (e.g., ~1 day for MODIS), which could potentially lead to omission errors in ecosystems where the spectral signal associated with burning events disappears quickly, and cloud cover limits the number of valid observations. My dissertation focuses on estimating the combined effect of the impermanent nature of land cover change typical of burning events and the cloud cover, which reduces the number of valid observations available to detect burns, on global burned area mapping using Landsat data. The dissertation has three objectives. The first objective (Chapter 2) is to estimate the temporal persistence time of the signal associated with burned areas, stratified by ecosystem and land cover type, making use of the global, multiyear MODIS data record. The second objective (Chapter 3) is to evaluate the suitability of the MODIS-derived cloud mask as a proxy for Landsat 7 cloud observations. Finally, the third objective (Chapter 4) is to estimate the potential omission errors in a hypothetical global Landsat burned area product, due to the combined effect of reduced revisit frequency and cloud contamination. Chapter 2 presents a global analysis of the burned area persistence time defined as the duration of the spectral separability of the burned / unburned areas mapped by the MODIS Global Burned Area Product (MCD64). The separability was computed by analyzing time series of normalized burn ratio (NBR) from nadir BRDF-adjusted MODIS reflectances (MCD43). Results showed that, globally, the median burned area persistence time was estimated as 29 days and 86.6% of the global area, as detected by MODIS, can be detected accurately only for up to 48 days. Furthermore, the results indicated that early and late fires had a shorter persistence time compared to fires burning in the central portion of the fire season. The results, therefore, indicate that the persistence time can be a limiting factor for mapping burned areas using moderate resolution satellite sensors, which have a low temporal resolution (e.g. Landsat 16 days, Sentinel 2A and 2B 10 days each, 5 days when used in combination). Chapter 3 presents a comparison of Landsat and MODIS cloud data. Landsat 7 Enhanced Thematic Mapper Plus (ETM+) image cloud fractions over land were compared with collocated MODIS cloud fractions, generated by combining the MODIS-Terra global daily cloud mask product (MOD35) with the Landsat 7 ETM+ image footprints and acquisition calendar. The results showed high correlation between the MODIS and Landsat 7 ETM+ cloud fractions (R2 = 0.83), negligible bias (median difference:

Permafrost Ecosystems

Permafrost Ecosystems PDF Author: Akira Osawa
Publisher: Springer Science & Business Media
ISBN: 1402096933
Category : Science
Languages : en
Pages : 507

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Book Description
Drawing from a decade-long collaboration between Japan and Russia, this important volume presents the first major synthesis of current knowledge on the ecophysiology of the coniferous forests growing on permafrost at high latitudes. It presents ecological data for a region long inaccessible to most scientists, and raises important questions about the global carbon balance as these systems are affected by the changing climate. Making up around 20% of the entire boreal forests of the northern hemisphere, these ‘permafrost forest ecosystems’ are subject to particular constraints in terms of temperature, nutrient availability, and root space, creating exceptional ecosystem characteristics not known elsewhere. This authoritative text explores their diversity, structure, dynamics and physiology. It provides a comparison of these forests in relation to boreal forests elsewhere, and concludes with an assessment of the potential responses of this unique biome to climate change. The book will be invaluable to advanced students and researchers interested in boreal vegetation, forest ecology, silviculture and forest soils, as well as to researchers into climate change and the global carbon balance.

Computer Vision, Pattern Recognition, Image Processing, and Graphics

Computer Vision, Pattern Recognition, Image Processing, and Graphics PDF Author: Renu Rameshan
Publisher: Springer
ISBN: 9811300208
Category : Computers
Languages : en
Pages : 570

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Book Description
This book constitutes the refereed proceedings of the 6th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2017, held in Mandi, India, in December 2017. The 48 revised full papers presented in this volume were carefully reviewed and selected from 147 submissions. The papers are organized in topical sections on video processing; image and signal processing; segmentation, retrieval, captioning; pattern recognition applications.

Remote Sensing of Large Wildfires

Remote Sensing of Large Wildfires PDF Author: Emilio Chuvieco
Publisher: Springer Science & Business Media
ISBN: 3642601642
Category : Science
Languages : en
Pages : 325

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Book Description
The book provides a systematic review of the different applications for remote sensing and geographical information system techniques in research and management of forest fires. The authors have been involved in this field of research for several years. The book also benefits from data generated within the Megafires project, founded under the DG-XII of the European Union. A clear integration of research and experience is provided. New data gathered from fires affecting European countries between 1991 and 1997 are included as well as satellite images and auxiliary cartographic information. Geographic Information System files have been included in the attached CD-ROM depicting land cover, elevation, Koeppen classification climates and NOAA-AVHRR data of all European Mediterranean Europe at 1 sq km resolution. All these files are in Idrisi format and can be easily accessed from any GIS program. An Idrisi viewer has also been included in the CD-ROM.

Regional Environmental Changes in Siberia and Their Global Consequences

Regional Environmental Changes in Siberia and Their Global Consequences PDF Author: Pavel Ya. Groisman
Publisher: Springer Science & Business Media
ISBN: 9400745699
Category : Science
Languages : en
Pages : 373

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Book Description
This volume presents a state-of-the-art assessment of the Earth's climate system in Siberia and relationships between climate, ecosystems and people in that region. Changes in climatic variables and land cover in Siberia are among the earliest indicators of the Earth’s response to climate warming. The volume is a compilation of results from studies on climate, land-cover and land-use changes and their interactions with biogeochemical and water cycles, atmospheric aerosol, and human and wildlife populations in Siberia. Regional changes in Siberia are predicted to affect climate and people on a global scale. NASA, the Russian Academy of Sciences, and several European institutions have supported these studies. The primary supporter of the projects that produced the results compiled in this volume is the NASA Land-Cover/Land-Use Change Program, hence most studies use remote sensing in their research. The chapters in this volume were written by an international team of scientists from the USA, Europe and Russia under the auspices of the Northern Eurasia Earth Science Partnership Initiative (NEESPI). This book will be of interest to those involved in studying recent and ongoing changes in Siberia, be they senior scientists, early career scientists or students.

Remote Sensing Handbook - Three Volume Set

Remote Sensing Handbook - Three Volume Set PDF Author: Prasad Thenkabail
Publisher: CRC Press
ISBN: 1482282674
Category : Technology & Engineering
Languages : en
Pages : 2304

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Book Description
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso

A Blueprint for Forest Carbon Science in Canada

A Blueprint for Forest Carbon Science in Canada PDF Author: Pierre Bernier
Publisher:
ISBN: 9781100212661
Category : Carbon cycle (Biogeochemistry)
Languages : en
Pages : 52

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Book Description
Domestic and international concerns about climate change have led to questions about the contemporary and future role of Canada's forests and forest sector in affecting atmospheric concentrations of carbon dioxide (CO2) and other greenhouse gases (GHGs). In 2008, the Canadian Council of Forest Ministers described climate change, including adaptation and the role of forest carbon (C) in helping mitigate climate change, as one of two priorities of national importance facing the Canadian forest sector over the next decade.