Download or read book Advancing the Quantification of Humid Tropical Forest Cover Loss with Multi resolution Optical Remote Sensing Data written by Mark Broich and published by . This book was released on 2010 with total page 340 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 354 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 Spatial Analysis for Radar Remote Sensing of Tropical Forests written by Gianfranco D. De Grandi and published by CRC Press. This book was released on 2021-03-24 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Hyperspectral Remote Sensing of Tropical and Sub Tropical Forests written by Margaret Kalacska and published by CRC Press. This book was released on 2008-02-26 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: While frequently used in temperate environments, hyperspectral sensors and data are still a novelty in the tropics. Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using t

Download or read book Remote Sensing of Impervious Surfaces in Tropical and Subtropical Areas written by Hongsheng Zhang and published by CRC Press. This book was released on 2015-09-01 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Remote Sensing of Impervious Surfaces in Tropical and Subtropical Areas offers a complete and thorough system for using optical and synthetic aperture radar (SAR) remote sensing data for improving impervious surface estimation (ISE). Highlighting tropical and subtropical areas where there is significant cloud occurrence and varying phenology, the b

Download or read book Advances in Remote Sensing for Global Forest Monitoring written by Erkki Tomppo and published by MDPI. This book was released on 2021-09-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article.

Download or read book Determination of the World s Humid Tropical Deforestation Rates During the 1990 s written by Frédéric Achard and published by . This book was released on 2002 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Advances in Remote Sensing for Forest Monitoring written by Prem C. Pandey and published by John Wiley & Sons. This book was released on 2022-10-07 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Towards an Innovative Remote Sensing Tool for Tropical Forest Change Monitoring by Integrating Spatial Segments and Time Series Analysis written by J. González de Tánago Meñaca and published by . This book was released on 2012 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: The net tropical forest carbon emission still remains uncertain, challenging the REDD+ monitoring system. This uncertainty is extensively related to the uncertainties in the estimations of the forest cover loss, the extent and intensity of forest degradation events, and the reforestation and regrowth rate. Complex spatiotemporal analysis techniques are needed to improve both spatially and temporally the estimation precision of the forest cover changes on tropical areas. Many remote sensing techniques have been developed to detect Land Cover Changes (LCC), including recent object based approaches exploiting the advantage of extracting changes in their spatial context. However, these previous works have been applied in a limited temporal scale, mostly bi-temporal or reduced multi-temporal image comparison (only few observation dates). In contrast, emerging LCC analysis approaches exploit the full temporal information of land cover dynamics provided by remote sensing dense time series, though they have been mostly applied in a pixel-based approach. Only little research has been done combining both approaches. This MSc. thesis explored the potential of spatiotemporal segmentation and time series analysis. First, LCC was estimated from Landsat time series by the Iterative Reweighted Multivariate Alteration Detection algorithm (iMAD) and spatiotemporal segments were delineated extracting LCC objects. Second, a time series analysis by the mean of the “Break For Additive Seasonal and Trend” (BFAST) algorithm over the LCC segments was performed for characterizing the temporal pattern of the segments. Finally, the information provided by both analysis was integrated for classifying the segments. This spatial and temporal information integration enhanced the capabilities of characterization of the spatial and temporal dynamics of tropical forest disturbances, contributing to increase the understanding of the immediate and long term implications of human activities over the tropical forest. Data abundance was found to be of major importance. Forest and non-forest related land cover changes within the study area have been detected producing satisfactory results. Especially the relations of segments and temporal profile’s need to be further analyzed by making use of multi-temporal change detection products and well framed multivariate analysis.

Download or read book Estimation of Tropical Forest Biophysical Attributes with Synergistic Use of Optical and Microwave Remote Sensing Techniques written by Cuizhen Wang and published by . This book was released on 2004 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Tropical Forest Geospatial Data and REDD written by Ram Avtar and published by . This book was released on 2017 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: With an increasing role of tropical forests supporting a range of ecosystem services, biodiversity conservation, water regulation, soil conservation, timber, non-timber forest products, carbon sequestration, and climate change mitigation, the importance of forest resources management has become very crucial. The tropical forests of Indochina countries are rich in biodiversity and carbon density, and thus are significant from social, ecological, political and economic aspects. These forests provide essential livelihoods to the local and indigenous people. Rapid economic growth, agriculture expansion, illegal logging, population growth, and urbanisation have been reported as major contributors to almost all cases of deforestation. Due to rapid development, forest resources are at a great risk. The FRA 2010 report shows that deforestation caused a loss of about 13 million hectares of tropical forests per year from the year 2000 to 2010. Therefore, there is an urgent need for better management of these resources. This book partially contributes towards climate change mitigation by implementing the Reducing Emissions from Deforestation and forest Degradation (REDD+) mechanism. To mitigate climate change, most present studies are now concentrated on afforestation, reforestation and reducing deforestation and degradation. This book is focused on the application of multi-sensor remote sensing techniques to manage Cambodian forests for the effective implementation of the REDD+ mechanism. In this context, it is important to obtain reliable and consistent information of (a) forest cover, (b) deforestation, and (c) forest biomass to estimate CO2 emissions for the improvement of national carbon accounting. Additionally, this information will also be used for the development of the measurement, reporting and verification (MRV) system and for the management of forest resources to support sustainable forest management. Current knowledge is very limited with regard to the MRV system for REDD+ mechanism implementation. This book demonstrates the use of multi-sensor remote sensing techniques to manage the forest resources more sustainably. Further, it includes a concept on how precisely we can measure various forest parameters to minimise the uncertainty and to validate the results based on field data. The study is very much interdisciplinary in nature. It integrates core remote sensing techniques with the socio-economic angle of the REDD+ mechanism. It emphasises on remote sensing as a technique for ensuring the MRV of REDD+ initiatives, taking into consideration its cost effectiveness in implementation.

Download or read book The Use of Remote Sensing in the Modeling of Forest Productivity written by H.L. Gholz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forests comprise the greatest storage of carbon on land, provide fuel for millions, are the habitat for most terrestrial biodiversity, and are critical to the economies of many countries. Yet changes in the extent and dynamics of forests are inherently difficult to detect and quantify. Remote sensing technologies may facilitate the measurement of some key forest properties which, when combined with other information contained in various computer models, may allow for the quantification of critical forest functions. This book explores how remote sensing and computer modeling can be combined to estimate changes in the carbon storage, or productivity, of forests - from the level of the leaf to the level of the globe. Land managers, researchers, policy makers and students will all find stimulating discussions among an international set of experts at the cutting edge of the interface between science, technology and management.

Download or read book Complex Land Cover Classifications and Physical Properties Retrieval of Tropical Forests Using Multi source Remote Sensing written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The work presented in this thesis mainly focuses on two subjects related to the application of remote sensing data: (1) for land cover classification combining optical sensor, texture features generated from spectral information and synthetic aperture radar (SAR) features, and (2) to develop a non-destructive approach for above ground biomass (AGB) and forest attributes estimation employing multi-source remote sensing data (i.e. optical data, SAR backscatter) combined with in-situ data. Information provided by reliable land cover map is useful for management of forest resources to support sustainable forest management, whereas the generation of the non-destructive approach to model forest biophysical properties (e.g. AGB and stem volume) is required to assess the forest resources more efficiently and cost-effective, and coupled with remote sensing data the model can be applied over large forest areas. This work considers study sites over tropical rain forest landscape in Indonesia characterized by different successional stages and complex vegetation structure including tropical peatland forests. The thesis begins with a brief introduction and the state of the art explaining recent trends on monitoring and modeling of forest resources using remote sensing data and approach. The research works on the integration of spectral information and texture features for forest cover mapping is presented subsequently, followed by development of a non-destructive approach for AGB and forest parameters predictions and modeling. Ultimately, this work evaluates the potential of mosaic SAR data for AGB modeling and the fusion of optical and SAR data for peatlands discrimination. The results show that the inclusion of geostatistics texture features improved the classification accuracy of optical Landsat ETM data. Moreover, the fusion of SAR and optical data enhanced the peatlands discrimination over tropical peat swamp forest. For forest stand parameters modeling, neural networks meth.

Download or read book Forestry Remote Sensing written by Thi Thanh Huong Nguyên and published by LAP Lambert Academic Publishing. This book was released on 2011-08 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to manage forest resources and environment effectively? Remote sensing is a solution of invaluable support for this goal. The purpose and expectation of traditional forest inventory is to provide forest resource with reliable information. However, these inventories usually lack fine spatial resolution and even performed terrestrially only. In recent decades, the great progress in remote sensing and GIS has provided considerable opportunities for such forest inventories. Integrating these techniques and terrestrial data as an analysis of multi-source information is therefore of particular value. Estimation of forest structure e.g. stand volume using remote sensing has been broadly investigated both in study and in practice. However, most work was focused on the boreal or temperate forest. Relatively less attention has been devoted to moist tropical regions, and hardly has been made consideration of the forests in Vietnam. Hence, this book aims to share with you applicability of remote sensing in the tropical forest where the almost stand forests with complex structure and tree species diversity haven been degradated by human activities

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.

Download or read book Tropical Forests written by Padmini Sudarshana and published by BoD – Books on Demand. This book was released on 2018-08-01 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tropical forests occupy only one-tenth of the world's land area but are home to more than half of the world's flora and fauna. They comprise extremely complex labyrinth of ecological interactions. The astounding richness and biodiversity of tropical forests are rapidly dwindling. There is a fear that the burgeoning human population and industrialization, where a majority of these tropical forests are found, may lead to the clearing or modification or may be a complete disappearance of the remaining tropical forests within few decades. This has severely altered the vital biogeochemical cycles of carbon, phosphorus, nitrogen, and so on and has led to the change in global climate and pristine natural ecosystems. Hence, there is an urgent need to protect, restore, conserve, and improve the forest resources before they are irrevocably lost. In this second edition of the book Tropical Forests, the chapters share the above issues and help in understanding, educating, and creating awareness on the role of "tropical forests" for the very survival of mankind, climate change, and the diversity of biota across the globe. This book will be of great use and could be useful to students, scientists, ecologists, population and conservation biologists, and forest managers across the globe.

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.