Remote Sensing For Forest Ecosystem Characterization
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Author | : Paul Michael Treitz |
Publisher | : Sault Ste. Marie, Ont. : Great Lakes Forestry Centre |
Total Pages | : 64 |
Release | : 1996 |
Genre | : Nature |
ISBN | : |
Remote sensing and digital image analysis techniques offer potential for assisting in the analysis of large forest tracts for identification of appropriate ecosystem classes at a variety of spatial resolutions or scales. In this report, the evolution of forest ecosystem classification is discussed in relation to site and stand characteristics. The role of remote sensing for ecological and forestry applications is also reviewed along with some of the major issues in digital image classification. In addition, the issues of spatial resolution are discussed, particularly with respect to the relationship between surface features (objects and phenomena that contribute to spectral reflectance) and spatial resolution, and how this relationship affects classification accuracy.
Author | : V. Alaric Sample |
Publisher | : |
Total Pages | : 392 |
Release | : 1994-10 |
Genre | : Computers |
ISBN | : |
Particularly about forests in the USA.
Author | : Hooman Latifi |
Publisher | : MDPI |
Total Pages | : 188 |
Release | : 2019-11-19 |
Genre | : Science |
ISBN | : 3039217828 |
Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest’s compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest’s ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed.
Author | : |
Publisher | : |
Total Pages | : |
Release | : 1997 |
Genre | : |
ISBN | : |
Author | : Richard H. Waring |
Publisher | : Academic Press |
Total Pages | : 408 |
Release | : 1998 |
Genre | : Nature |
ISBN | : 9780127354439 |
Author | : Prem C. Pandey |
Publisher | : John Wiley & Sons |
Total Pages | : 405 |
Release | : 2022-10-07 |
Genre | : Technology & Engineering |
ISBN | : 1119788145 |
Advances in Remote Sensing for Forest Monitoring An expert overview of remote sensing as applied to forests and other vegetation In Advances in Remote Sensing for Forest Monitoring, a team of distinguished researchers delivers an expansive and insightful discussion of the latest research on remote sensing technologies as they relate to the monitoring of forests, plantations, and other vegetation. The authors also explore the use of unmanned aerial vehicles and drones, as well as multisource and multi-sensor data – such as optical, SAR, LIDAR, and hyperspectral data. The book draws on the latest data and research to show how remote sensing solutions are being used in real-world settings. It offers contributions from researchers and practitioners from a wide variety of backgrounds and geographical regions to provide a diverse and global set of perspectives on the subject. Readers will also find: A thorough introduction to forest monitoring using remote sensing including recent advances in remote sensing technology Comprehensive explorations of sustainable forest management to enhance ecosystem services and livelihood security using a geospatial approach Case studies of monitoring the biochemical and biophysical parameters of forests, including carotene and xanthophyll content Practical advice on how to apply machine learning tools to remote sensing data Perfect for postgraduates, lecturers, and researchers in the fields of environmental science, forestry, and natural resource management, Advances in Remote Sensing for Forest Monitoring will also earn a place in the libraries of professionals and researchers working with remote sensing technology.
Author | : Hooman Latifi |
Publisher | : |
Total Pages | : 188 |
Release | : 2019 |
Genre | : Biology (General) |
ISBN | : 9783039217830 |
Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest's compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest's ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed.
Author | : Steven E. Franklin |
Publisher | : CRC Press |
Total Pages | : 425 |
Release | : 2001-06-13 |
Genre | : Law |
ISBN | : 1420032852 |
As remote sensing data and methods have become increasingly complex and varied - and increasingly reliable - so have their uses in forest management. New algorithms have been developed in virtually every aspect of image analysis, from classification to enhancements to estimating parameters. Remote Sensing for Sustainable Forest Management reviews t
Author | : Gianfranco D. De Grandi |
Publisher | : CRC Press |
Total Pages | : 380 |
Release | : 2021-03-24 |
Genre | : Technology & Engineering |
ISBN | : 100036478X |
Uniquely focused on specific techniques that provide multi-resolution spatial and temporal analysis of forest structure characteristics and changes. Examines several large and important international remote sensing projects aimed at documenting entire tropical ecosystems. Provides novel wavelet methods for tropical forest structural measures. Includes Python code for a suite of wavelet based time-series and single set InSAR coherence and backscatter speckle filters, available to download.
Author | : Forestry Remote Sensing Laboratory (Berkeley, Calif.) |
Publisher | : |
Total Pages | : 222 |
Release | : 1971 |
Genre | : Agriculture |
ISBN | : |