Download or read book Change detection and controlling forestry information using multi temporal Landsat TM imagery written by Jari Varjo and published by . This book was released on 1997 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Change Component in Multitemporal Landsat TM Images written by Pol Romain Coppin and published by . This book was released on 1991 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Technical Guide for Change Detection Using Multi temporal Landsat TM Data written by and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mapping Forest Changes Using Multi temporal Remote Sensing Images written by Yanlei Chen and published by . This book was released on 2014 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: We developed a semi-automatic algorithm named Berkeley Indices Trajectory Extractor (BITE) to detect forest disturbances, especially slow-onset disturbances such as insect mortality, from time series of Landsat 5 Thematic Mapper (TM) images. BITE is a streamlined process that features trajectory extraction and interpretation of multiple spectral indices followed by an integration of all indices. The algorithm was tested over Grand County in Colorado, located in the Southern Rocky Mountains Ecoregion, where forests dominated by lodgepole pine have been under mountain pine beetle attack since 2000. We produced a disturbance map using BITE with an identification accuracy of 94.7% assessed from 602 validation sample pixels. The algorithm shows its robustness in deriving forest disturbance type and timing with the presence of different levels of atmospheric conditions, noises, pixel misregistration and residual cloud/snow cover in the imagery. Outputs of the BITE algorithm could be used in studies designed to increase understanding of the mechanisms of mountain pine beetle dispersal and tree mortality, as well as other types of forest disturbances. Large remote sensing datasets, that either cover large areas or have high spatial resolution, are often a burden for information mining for scientific studies. Here, we present an approach that conducts clustering after gray-level vector reduction. In this manner, the speed of clustering can be considerably improved. The approach features applying eigenspace transformation to the dataset followed by compressing the data in the eigenspace and storing them in coded matrices and vectors. The clustering process takes advantage of the reduced size of the compressed data and thus reduces computational complexity. We name this approach Clustering Based on Eigen Space Transformation (CBEST). In our experiment with a subscene of Landsat Thematic Mapper (TM) imagery, CBEST was found to be able to improve speed considerably over conventional K-means as the volume of data to be clustered increases. We assessed information loss and several other factors. In addition, we evaluated the effectiveness of CBEST in mapping land cover/use with the same image that was acquired over Guangzhou City, South China and an AVIRIS hyperspectral image over Cappocanoe County, Indiana. Using reference data we assessed the accuracies for both CBEST and conventional K-means and we found that the CBEST was not negatively affected by information loss during compression in practice. We then applied CBEST in mapping the forest change from 1986-2011 for the entire state of California, USA with over 400 Landsat TM images. We discussed potential applications of the fast clustering algorithm in dealing with large datasets in remote sensing studies. We present an efficient approach for a practice of large-area mapping of forest changes based on the Clustering Based on Eigen Space Transformation (CBEST) algorithm using remote sensing. By analyzing 450 Landsat Thematic Mapper (TM) satellite images from 1986 to 2011 with a five-year interval covering the entire state of California, USA, we derived a forest change type map, a forest loss map and a forest gain map. Although California has 99.6 million acres land area in total and the spatial resolution of Landsat TM is 30m, the computing time of the task took only 10 hours in a computer with an Intel 2.8 Ghz i5 CPU and 8 Gigabytes RAM. The overall accuracy of the forest cover in year 2011 was reported as 92.9% " 1.6%. We found that the estimated forest area changed from 28.20 " 1.98 million acres to 28.05 " 1.98 million acres from 1986-2011. In particular, our rough estimate indicates that each year California's forest experienced loss of 92 thousand acres and recovery of 85 thousand acres, resulting in seven thousand acres forest loss per year. In addition, during 1986-2011, around 12% of the forestland experienced changes, in which the change was 4% each for deforestation, afforestation and deforestation then recovered respectively. We concluded that the forestland in California had been managed in a sustainable manner over the 25 years, since no significantly directional changes were observed. Our approach made a tighter estimate of the true canopy coverage such that 29% of land in California is forestland, comparing with the statistics of 33% and 40% made by previous studies that had lower spatial resolution and shorter temporal coverage.
Download or read book Quantitative Remote Sensing of Land Surfaces written by Shunlin Liang and published by John Wiley & Sons. This book was released on 2005-03-11 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations. A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations. Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow Gathers the state of the art quantitative algorithms for sensor calibration, atmospheric and topographic correction, estimation of a variety of biophysical and geoph ysical variables, and four-dimensional data assimilation
Download or read book Remote Sensing of Biosphere Functioning written by Richard J. Hobbs and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harold A. Mooney and Richard J. Hobbs At present there is enormous concern about the changes that are occurring on the surface of the earth and in the earth's atmosphere, primarily as a result of human activities. These changes, particularly in the atmosphere, have the potential for altering the earth's habitability. International pro grams unprecedented in scope, including the International Geosphere Biosphere Program, have been initiated to describe and understand these changes. The global change program will call for coordinated measure ments on a global scale of those interactive physical and biological pro cesses that regulate the earth system. The program will rely heavily on the emerging technology of remote sensing from airborne vehicles, particularly satellites. Satellites offer the potential of continuously viewing large seg ments of the earth's surface, thus documenting the changes that are occur ring. The task, however, is not only to document global change, which will be an enormous job, but also to understand the significance of these changes to the biosphere. Effects on the biosphere may cover all spatial scales from global to local. The possibility of measuring biosphere function remot~ly and continuously from satellite imagery must be explored quickly and thoroughly in order to meet the challenge of understanding the con sequences of global change. Initial guidelines and approaches are currently being formulated (Dyer and Crossley, 1986; JOI, 1984; NAS, 1986; Rasool, 1987). There are many conceptual and technical issues that must be resolved H. A. Mooney and R. J.
Download or read book General Technical Report NC written by and published by . This book was released on 1981 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Machine Learning Approach to Change Detection Using Multi scale Imagery written by Lisa N. Levien and published by . This book was released on 1999 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: The USDA Forest Service and the California Department of Forestry and Fire Protection are collaborating on a statewide change detection program to identify landcover change across all ownerships within five-year time periods. This program uses Landsat Thematic Mapper satellite imagery to derive landcover change and aid in assessing its cause. Landscape changes are initially detected using a multi-temporal Kauth-Thomas transform. Unsupervised classification of the transformed imagery creates a preliminary landscape-level change map portraying change classes with multiple levels of vegetation increase, decrease, and no change. Using a stratified random sampling scheme, this preliminary change map facilitates selection of field sites for collecting vegetation canopy cover measurements. Ground truth for the classifier is obtained by estimating canopy cover change over the 5-year timeframe using color-IR digital photos, digital orthophoto quads, and aerial photography. Canopy cover estimates from the second date of photography are calibrated using transect measurements of canopy cover from a sample of field sites. Attributes such as species and vegetative cover are also noted. A machine learning classifier approach is then employed. The classifier uses an inductive learning algorithm to generate production rules from training data, including the transformed change data and other ancillary data layers. The resultant knowledge base is then used by an expert classifier to produce classes of crown closure change. Approximately half of the field sites are reserved for accuracy assessment.
Download or read book A Comparison of Change Detection Methods in an Urban Environment Using LANDSAT TM and ETM Satellite Imagery written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Land cover change detection in urban areas provides valuable data on loss of forest and agricultural land to residential and commercial development. Using Landsat 5 Thematic Mapper (1991) and Landsat 7 ETM+ (2000) imagery of Gwinnett County, GA, change images were obtained using image differencing of Normalized Difference Vegetation Index (NDVI), principal components analysis (PCA), and Tasseled Cap-transformed images. Ground truthing and accuracy assessment determined that land cover change detection using the NDVI and Tasseled Cap image transformation methods performed best in the study area, while PCA performed the worst of the three methods assessed. Analyses on vegetative and vegetation changes from 1991- 2000 revealed that these methods perform well for detecting changes in vegetation and/or vegetative characteristics but do not always correspond with changes in land use. Gwinnett County lost an estimated 13,500 hectares of vegetation cover during the study period to urban sprawl, with the majority of the loss coming from forested areas.
Download or read book Environmental Modelling with GIS and Remote Sensing written by Andrew Skidmore and published by CRC Press. This book was released on 2017-08-11 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most government agencies and private companies are investing significant resources in the production and use of geographical data. The capabilities of Geographical Information Systems (GIS) for data analysis are also improving, to the extent that the potential performance of GIS software and the data available for analysis outstrip the abilities of
Download or read book A Review and Assessment of Land use Change Models written by Chetan Agarwal and published by . This book was released on 2002 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Global Forest Monitoring from Earth Observation written by Frederic Achard and published by CRC Press. This book was released on 2016-04-19 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering recent developments in satellite observation data undertaken for monitoring forest areas from global to national levels, this book highlights operational tools and systems for monitoring forest ecosystems. It also tackles the technical issues surrounding the ability to produce accurate and consistent estimates of forest area changes, which are needed to report greenhouse gas emissions and removals from land use changes. Written by leading global experts in the field, this book offers a launch point for future advances in satellite-based monitoring of global forest resources. It gives readers a deeper understanding of monitoring methods and shows how state-of-art technologies may soon provide key data for creating more balanced policies.
Download or read book Remote Sensing for Sustainable Forest Management written by Steven E. Franklin and published by CRC Press. This book was released on 2001-06-13 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Acta Forestalia Fennica written by and published by . This book was released on 1998 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the Meeting on Planning and Implementing Forest Operations to Achieve Sustainable Forests written by Council on Forest Engineering. Meeting and published by . This book was released on 1996 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Community Based Forest Management CBFM in Bangladesh written by Tapan Kumar Nath and published by Springer. This book was released on 2016-07-27 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is immensely beneficial to the readers to have a clear understanding of various CBFM practices prevailing in Bangladesh.Providing a comprehensive and critical analysis of success stories concerning several CBFM practices in different forest areas of Bangladesh, together with their respective strengths and weaknesses, it identifies sharing authority to take decision by the community as one of the main weaknesses. The other main weakness is the lack of beat level authority to coordinate with community for making the process vibrant. The book determines that it is the community patrol group which is most effective under the co-management system, yet the general body and executive committee of the co-management system are composed of different stakeholders, each of which is subject to their own work pressures, and are not as effective as claimed. There is a need to empower communities living in and around forests, and to create ownership of the forests so that they can feel that the forests around them are by the community and for the community.
Download or read book Earth Resources written by and published by . This book was released on 1983 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:
