Assessing The Limitations And Capabilities Of Lidar And Landsat 8 To Estimate The Aboveground Vegetation Biomass And Cover In A Rangeland Ecosystem Using A Machine Learning Algorithm

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Assessing the Limitations and Capabilities of Lidar and Landsat 8 to Estimate the Aboveground Vegetation Biomass and Cover in a Rangeland Ecosystem Using a Machine Learning Algorithm

Author : Shital Dhakal
Publisher :
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Assessing the Limitations and Capabilities of Lidar and Landsat 8 to Estimate the Aboveground Vegetation Biomass and Cover in a Rangeland Ecosystem Using a Machine Learning Algorithm by : Shital Dhakal

Download or read book Assessing the Limitations and Capabilities of Lidar and Landsat 8 to Estimate the Aboveground Vegetation Biomass and Cover in a Rangeland Ecosystem Using a Machine Learning Algorithm written by Shital Dhakal and published by . This book was released on 2016 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Remote sensing based quantification of semiarid rangeland vegetation provides the large scale observations required for monitoring native plant distribution, estimating fuel loads, modeling climate and hydrological dynamics, and measuring carbon storage. Fine scale 3-dimensional vertical structural information from airborne lidar and improved signal to noise ratio and radiometric resolution of recent satellite imagery provide opportunities for refined measurements of vegetation structure. In this study, we leverage a large number of time series Landsat 8 vegetation indices and lidar point cloud - based vegetation metrics with ground validation for scaling aboveground shrub and herb biomass and cover from small scale plot to large, regional scales in the Morley Nelson Snake River Birds of Prey National Conservation Area (NCA), Idaho. The Landsat vegetation indices were trained and linked to in-situ measurements (n = 141) with the random forest regression to impute vegetation biomass and cover across the NCA. We also validated our model with an independent dataset (n = 44), explaining up to 63% and 53% of variation in shrub cover and biomass, respectively. Forty six of the in-situ plots were used in a model to compare the performance of lidar and Landsat data in estimating vegetation characteristics. Our results demonstrate that Landsat performs better in estimating both herb (R2 ~ 0.60) and shrub cover (R2 ~ 0.75) whereas lidar performs better in estimating shrub and total biomass (R2 ~ 0.75 and 0.68, respectively). Using the lidar only model, we demonstrate that lidar metrics based on shrub height have a strong correlation with field-measured shrub biomass (R2 ~ 0.76). We also compare processing the lidar data with raster-based and point cloud-based approaches. The results are scale-dependent, with improved results of biomass estimation at coarser scales with point cloud processing. Overall, the results of this study indicate that Landsat and lidar can be efficiently utilized independently and together to estimate biomass and cover of vegetation in this semi-arid rangeland environment."--Boise State University ScholarWorks.

Remote Sensing of Above Ground Biomass

Author : Lalit Kumar
Publisher : MDPI
ISBN 13 : 3039212095
Total Pages : 264 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Remote Sensing of Above Ground Biomass by : Lalit Kumar

Download or read book Remote Sensing of Above Ground Biomass written by Lalit Kumar and published by MDPI. This book was released on 2019-08-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring.

Remote Sensing of Natural Resources

Author : Guangxing Wang
Publisher : CRC Press
ISBN 13 : 1466556935
Total Pages : 565 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Remote Sensing of Natural Resources by : Guangxing Wang

Download or read book Remote Sensing of Natural Resources written by Guangxing Wang and published by CRC Press. This book was released on 2013-07-12 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highlighting new technologies, Remote Sensing of Natural Resources explores advanced remote sensing systems and algorithms for image processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy assessment and quality control. It also discusses their applications for

Deep Learning Pipeline

Author : Hisham El-Amir
Publisher : Apress
ISBN 13 : 1484253493
Total Pages : 563 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Deep Learning Pipeline by : Hisham El-Amir

Download or read book Deep Learning Pipeline written by Hisham El-Amir and published by Apress. This book was released on 2019-12-20 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets. You'll also develop a deep learning project by preparing data, choosing the model that fits that data, and debugging your model to get the best fit to data all using Tensorflow techniques. Enhance your skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution or entering a Kaggle contest, Deep Learning Pipeline is for you! What You'll LearnDevelop a deep learning project using dataStudy and apply various models to your dataDebug and troubleshoot the proper model suited for your data Who This Book Is For Developers, analysts, and data scientists looking to add to or enhance their existing skills by accessing some of the most powerful recent trends in data science. Prior experience in Python or other TensorFlow related languages and mathematics would be helpful.

Aboveground Biomass Estimation Using Spaceborne LiDAR in Managed Conifer Forests in South Central British Columbia

Author : Laura Innice Duncanson
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (858 download)

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Book Synopsis Aboveground Biomass Estimation Using Spaceborne LiDAR in Managed Conifer Forests in South Central British Columbia by : Laura Innice Duncanson

Download or read book Aboveground Biomass Estimation Using Spaceborne LiDAR in Managed Conifer Forests in South Central British Columbia written by Laura Innice Duncanson and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In the context of growing concerns regarding global climatic change, developing methods to assess the carbon storage of various ecosystems has become important. This research attempts to develop low or no cost methods to estimate carbon stock in forests using satellite-based data. More specifically, this research explores the utility of spaceborne Light Detection and Ranging (LiDAR) data for forest canopy height and aboveground biomass estimation. High-resolution (sub meter) airborne LiDAR data were collected and validated for a 75 000 ha area near Clearwater, British Columbia. Airborne LiDAR has been widely demonstrated to yield accurate aboveground biomass estimates. 110 temporally coincident Geospatial Laser Altimeter System (GLAS) waveforms from the study site were used in this research. First, I demonstrate that airborne LiDAR can be manipulated to represent waveform curves with a high degree of similarity to GLAS waveform curves. Based on the relationship between the GLAS and simulated waveforms I am able to visualize the ground contribution to GLAS waveforms. Second, I calculate a suite of novel GLAS waveform metrics and develop models of terrain relief, canopy height, and terrain adjusted canopy height. These models compare favourably to other GLAS studies (terrain relief R2=0.76, canopy height R2= 0.75-0.88) and indicate that terrain relief should be included in GLAS derived canopy height models. Third, I attempt to extrapolate the spatially discrete GLAS estimates to spatially continuous estimates using Landsat TM data. Landsat data have been used extensively for AGBM estimation, although they are known to have limitations for studies in high biomass or structurally complex forests. I develop models to predict GLAS AGBM estimates from Landsat bands and indices (R2=0.6). I then use an airborne LiDAR derived AGBM map to generate a map of over and under prediction of AGBM, and evaluate the success of the model in areas of differing forest species and structure. I conclude that GLAS data is appropriate for AGBM estimation in forests over a wide range of biomass values, but that GLAS and Landsat integration for AGBM estimation should only be conducted in forests with less than approximately 120 Mg/ha of AGBM, 60 years of age, or 60% canopy cover.

Vegetation Monitoring

Author : Caryl L. Elzinga
Publisher : DIANE Publishing
ISBN 13 : 9780788148378
Total Pages : 190 pages
Book Rating : 4.1/5 (483 download)

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Book Synopsis Vegetation Monitoring by : Caryl L. Elzinga

Download or read book Vegetation Monitoring written by Caryl L. Elzinga and published by DIANE Publishing. This book was released on 1998-05 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This annotated bibliography documents literature addressing the design and implementation of vegetation monitoring. It provides resources managers, ecologists, and scientists access to the great volume of literature addressing many aspects of vegetation monitoring: planning and objective setting, choosing vegetation attributes to measure, sampling design, sampling methods, statistical and graphical analysis, and communication of results. Over half of the 1400 references have been annotated. Keywords pertaining to the type of monitoring or method are included with each bibliographic entry. Keyword index.

Fire Effects on Soil Properties

Author : Paulo Pereira
Publisher : CSIRO PUBLISHING
ISBN 13 : 1486308155
Total Pages : 400 pages
Book Rating : 4.4/5 (863 download)

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Book Synopsis Fire Effects on Soil Properties by : Paulo Pereira

Download or read book Fire Effects on Soil Properties written by Paulo Pereira and published by CSIRO PUBLISHING. This book was released on 2019-02-01 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wildland fires are occurring more frequently and affecting more of Earth's surface than ever before. These fires affect the properties of soils and the processes by which they form, but the nature of these impacts has not been well understood. Given that healthy soil is necessary to sustain biodiversity, ecosystems and agriculture, the impact of fire on soil is a vital field of research. Fire Effects on Soil Properties brings together current research on the effects of fire on the physical, biological and chemical properties of soil. Written by over 60 international experts in the field, it includes examples from fire-prone areas across the world, dealing with ash, meso and macrofauna, smouldering fires, recurrent fires and management of fire-affected soils. It also describes current best practice methodologies for research and monitoring of fire effects and new methodologies for future research. This is the first time information on this topic has been presented in a single volume and the book will be an important reference for students, practitioners, managers and academics interested in the effects of fire on ecosystems, including soil scientists, geologists, forestry researchers and environmentalists.

Advances in Computational Environment Science

Author : Gary Lee
Publisher : Springer Science & Business Media
ISBN 13 : 3642279570
Total Pages : 377 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Computational Environment Science by : Gary Lee

Download or read book Advances in Computational Environment Science written by Gary Lee and published by Springer Science & Business Media. This book was released on 2012-02-01 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2012 International Conference on Environment Science and 2012 International Conference on Computer Science (ICES 2012/ICCS 2012) will be held in Australia, Melbourne, 15‐16 March, 2012.Volume 1 contains some new results in computational environment science. There are 47 papers were selected as the regular paper in this volume. It contains the latest developments and reflects the experience of many researchers working in different environments (universities, research centers or even industries), publishing new theories and solving new technological problems on computational environment science. The purpose of volume 1 is interconnection of diverse scientific fields, the cultivation of every possible scientific collaboration, the exchange of views and the promotion of new research targets as well as the further dissemination, the dispersion, the diffusion of the environment science, including but not limited to Ecology, Physics, Chemistry, Biology, Soil Science, Geology, Atmospheric Science and Geography We are sure that the efforts of the authors as well as the reviewers to provide high level contributions will be appreciated by the relevant scientific community. We are convinced that presented volume will be a source of knowledge and inspiration for all academic members, researchers and practitioners working in a field of the topic covered by the book.

Google Earth Engine Applications

Author : Lalit Kumar
Publisher : MDPI
ISBN 13 : 3038978841
Total Pages : 420 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Google Earth Engine Applications by : Lalit Kumar

Download or read book Google Earth Engine Applications written by Lalit Kumar and published by MDPI. This book was released on 2019-04-23 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.

Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309492432
Total Pages : 29 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space by : National Academies of Sciences, Engineering, and Medicine

Download or read book Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-06-18 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live on a dynamic Earth shaped by both natural processes and the impacts of humans on their environment. It is in our collective interest to observe and understand our planet, and to predict future behavior to the extent possible, in order to effectively manage resources, successfully respond to threats from natural and human-induced environmental change, and capitalize on the opportunities â€" social, economic, security, and more â€" that such knowledge can bring. By continuously monitoring and exploring Earth, developing a deep understanding of its evolving behavior, and characterizing the processes that shape and reshape the environment in which we live, we not only advance knowledge and basic discovery about our planet, but we further develop the foundation upon which benefits to society are built. Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space (National Academies Press, 2018) provides detailed guidance on how relevant federal agencies can ensure that the United States receives the maximum benefit from its investments in Earth observations from space, while operating within realistic cost constraints. This short booklet, designed to be accessible to the general public, provides a summary of the key ideas and recommendations from the full decadal survey report.

Sourcebook on Remote Sensing and Biodiversity Indicators

Author : Holly Strand
Publisher :
ISBN 13 :
Total Pages : 208 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Sourcebook on Remote Sensing and Biodiversity Indicators by : Holly Strand

Download or read book Sourcebook on Remote Sensing and Biodiversity Indicators written by Holly Strand and published by . This book was released on 2007 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This sourcebook is intended to assist environmental managers and others who work with indicators in pursuing appropriate methods for indicator testing and production, and to offer some guidance to those responsible for the interpretation of indicators and implementation of decisions based on them. Upon reading this document, technical advisers, environmental policy makers, and remote sensing lab directors and project managers should be able to identify specific, relevant uses of remote sensing data for biodiversity monitoring and indicator development related to the CBD." --p. 8.

Remote Sensing of Forest Environments

Author : Michael A. Wulder
Publisher : Springer Science & Business Media
ISBN 13 : 146150306X
Total Pages : 535 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Remote Sensing of Forest Environments by : Michael A. Wulder

Download or read book Remote Sensing of Forest Environments written by Michael A. Wulder and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing of Forest Environments: Concepts and Case Studies is an edited volume intended to provide readers with a state-of-the-art synopsis of the current methods and applied applications employed in remote sensing the world's forests. The contributing authors have sought to illustrate and deepen our understanding of remote sensing of forests, providing new insights and indicating opportunities that are created when forests and forest practices are considered in concert with the evolving paradigm of remote sensing science. Following background and methods sections, this book introduces a series of case studies that exemplify the ways in which remotely sensed data are operationally used, as an element of the decision-making process, and in the scientific study of forests. Remote Sensing of Forest Environments: Concepts and Case Studies is designed to meet the needs of a professional audience composed of both practitioners and researchers. This book is also suitable as a secondary text for graduate-level students in Forestry, Environmental Science, Geography, Engineering, and Computer Science.

Lidar and Machine Learning Estimation of Hardwood Forest Biomass in Mountainous and Bottomland Environments

Author : Bowei Xue
Publisher :
ISBN 13 : 9781321947571
Total Pages : 182 pages
Book Rating : 4.9/5 (475 download)

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Book Synopsis Lidar and Machine Learning Estimation of Hardwood Forest Biomass in Mountainous and Bottomland Environments by : Bowei Xue

Download or read book Lidar and Machine Learning Estimation of Hardwood Forest Biomass in Mountainous and Bottomland Environments written by Bowei Xue and published by . This book was released on 2015 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Light detection and ranging (lidar) has been applied in various forest applications, such as to retrieve forest structural information, to build statistical models for identification of tree species, and to monitor forest growth. However, despite significant progress in these areas, the choice of regression approach and parameter tuning remains an ongoing critical question. This study focused on choosing the right spatial generalization level to transform lidar point clouds to 2D images which can be further processed by mature image processing and pattern recognition approaches. It also compared the prediction ability of popular machine learning algorithms applied to aboveground forest biomass estimation. A neighborhood technique was employed to calculate lidar-derived height metrics which were used as predictors to estimate forest total biomass at the image object (or segment) level. Three machine learning algorithms were tested to explore the relationship between the lidar-derived height metrics and biomass observed in situ. The height metrics were calculated as percentile heights and canopy coverage based on the lidar points falling within certain spatial extents (neighborhoods). The effect of neighborhood size was examined by developing regression models using Support Vector Machine (SVM), Cubist, and Random Forest on images created by applying 0.5, 2.5, 5, 10, and 15-meter neighborhood. Experiments were conducted in two study sites, the Ozark Mountains of Arkansas and the Trinity River Basin of Texas, with significantly different landscapes, hardwood tree species, and lidar point distributions. Regression models were constructed and evaluated with 10-fold cross validation. Results showed that optimal neighborhood configurations depend on the lidar data and regression techniques that are applied. The optimal model among all neighborhoods and algorithms achieved training accuracies of 0.988 and 0.990, and validation accuracies of 0.902 and 0.853 (adjusted R2) at the two study sites respectively.

Drones for Biodiversity Conservation and Ecological Monitoring

Author : Ricardo Díaz-Delgado
Publisher : MDPI
ISBN 13 : 3039219804
Total Pages : 176 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Drones for Biodiversity Conservation and Ecological Monitoring by : Ricardo Díaz-Delgado

Download or read book Drones for Biodiversity Conservation and Ecological Monitoring written by Ricardo Díaz-Delgado and published by MDPI. This book was released on 2019-12-18 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned aerial vehicles (UAV) have already become an affordable and cost-efficient tool to quickly map a targeted area for many emerging applications in the arena of ecological monitoring and biodiversity conservation. Managers, owners, companies, and scientists are using professional drones equipped with high-resolution visible, multispectral, or thermal cameras to assess the state of ecosystems, the effect of disturbances, or the dynamics and changes within biological communities inter alia. We are now at a tipping point on the use of drones for these type of applications over natural areas. UAV missions are increasing but most of them are testing applicability. It is time now to move to frequent revisiting missions, aiding in the retrieval of important biophysical parameters in ecosystems or mapping species distributions. This Special Issue shows UAV applications contributing to a better understanding of biodiversity and ecosystem status, threats, changes, and trends. It documents the enhancement of knowledge in ecological integrity parameters mapping, long-term ecological monitoring based on drones, mapping of alien species spread and distribution, upscaling ecological variables from drone to satellite images: methods and approaches, rapid risk and disturbance assessment using drones, mapping albedo with UAVs, wildlife tracking, bird colony and chimpanzee nest mapping, habitat mapping and monitoring, and a review on drones for conservation in protected areas.

Remote Sensing of Northwest Himalayan Ecosystems

Author : R. R. Navalgund
Publisher : Springer
ISBN 13 : 9811321280
Total Pages : 564 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Remote Sensing of Northwest Himalayan Ecosystems by : R. R. Navalgund

Download or read book Remote Sensing of Northwest Himalayan Ecosystems written by R. R. Navalgund and published by Springer. This book was released on 2018-10-18 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Himalaya, one of the global biodiversity hotspots, is the abode of a variety of flora and fauna. The Himalayan ecosystems have immense ecological, socioeconomic, and aesthetic significance as they provide a wide range of ecosystem services. The northwest Himalaya (NWH), covering three states of India viz., Uttarakhand, Himachal Pradesh, and Jammu and Kashmir, starts from the foothills of Shivaliks in the south and extends to the greater Himalaya in the north. This region is also the source of some of the major rivers of India. With the increase in population, the NWH ecosystems have been under threat due to deforestation, loss of biodiversity, expansion of agriculture and settlement, overexploitation of natural resources, habitat loss and fragmentation, poaching, mining, construction of roads and large dams, and unplanned tourism. The Himalaya being young and geotectonically active, remains inherently unstable, fragile, and prone to natural disasters. Climate change is also likely to impact the Himalayan cryosphere drastically. Recognizing the importance of the Himalaya, a National Mission for Sustaining the Himalayan Ecosystem, one of the eight missions under the National Action Plan on Climate Change (NAPCC) of Govt. of India, to conserve biodiversity, forest cover and other ecological values in the Himalayan region has been taken up. Spaceborne remote sensing with its ability to provide synoptic and repetitive coverage has emerged as a powerful tool for assessment and monitoring of the Himalayan resources and phenomena. Indian Institute of Remote Sensing, Dehradun has taken up a number of studies in the fields of geology, water resources, forestry, agriculture, urban settlement, etc., over the last decade. The book summarises the work carried out in different disciplines, illustrated with tables and figures and a host of relevant references. It is hoped that the book serves as an excellent reference of immense value to the students, researchers, professors, scientists, professionals, and decision makers working in the NWH region.

The Normalized Difference Vegetation Index

Author : Nathalie Pettorelli
Publisher : Oxford University Press, USA
ISBN 13 : 0199693161
Total Pages : 205 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis The Normalized Difference Vegetation Index by : Nathalie Pettorelli

Download or read book The Normalized Difference Vegetation Index written by Nathalie Pettorelli and published by Oxford University Press, USA. This book was released on 2013-10 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a coherent review of NDVI including its origin, its availability, its associated advantages and disadvantages, and its possible applications in ecology, environmental monitoring, wildlife management, and conservation.

Wildland Fuel Fundamentals and Applications

Author : Robert E. Keane
Publisher : Springer
ISBN 13 : 3319090151
Total Pages : 195 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Wildland Fuel Fundamentals and Applications by : Robert E. Keane

Download or read book Wildland Fuel Fundamentals and Applications written by Robert E. Keane and published by Springer. This book was released on 2014-11-04 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new era in wildland fuel sciences is now evolving in such a way that fire scientists and managers need a comprehensive understanding of fuels ecology and science to fully understand fire effects and behavior on diverse ecosystem and landscape characteristics. This is a reference book on wildland fuel science; a book that describes fuels and their application in land management. There has never been a comprehensive book on wildland fuels; most wildland fuel information was put into wildland fire science and management books as separate chapters and sections. This book is the first to highlight wildland fuels and treat them as a natural resource rather than a fire behavior input. Moreover, there has never been a comprehensive description of fuels and their ecology, measurement, and description under one reference; most wildland fuel information is scattered across diverse and unrelated venues from combustion science to fire ecology to carbon dynamics. The literature and data for wildland fuel science has never been synthesized into one reference; most studies were done for diverse and unique objectives. This book is the first to link the disparate fields of ecology, wildland fire, and carbon to describe fuel science. This just deals with the science and ecology of wildland fuels, not fuels management. However, since expensive fuel treatments are being planned in fire dominated landscapes across the world to minimize fire damage to people, property and ecosystems, it is incredibly important that people understand wildland fuels to develop more effective fuel management activities.