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EBookClubs

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Book Improving Forest Monitoring Combining Temporal and Spatial Information to Enable for an Automated and Accurate Detection of Forest Cover Change

Download or read book Improving Forest Monitoring Combining Temporal and Spatial Information to Enable for an Automated and Accurate Detection of Forest Cover Change written by A. Castro Gómez and published by . This book was released on 2015 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the context of REDD+, the accurate identification of active forest change areas from remote sensing sensors is essential to monitor, report and verify tropical deforestation efficiently. Landsat imagery is considered the most viable option due to its high-resolution data, and extensive and free archive. However, the high level of noise (e.g. clouds or climatic disturbances) in Landsat data from tropical areas reduces the reliability of the detection of deforestation. Pre-processing is essential in order to detect deforestation reliably, but for Landsat no comprehensive methodology for cloud screening is available, and the correction of external disturbances remains to be addressed. The main objective is to improve the detection of deforestation from Landsat image time series by including information of the spatial neighbourhood of a pixel.

Book Global Forest Monitoring from Earth Observation

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.

Book Integration of Landsat and SAR Time Series for Near Real time Deforestation Monitoring

Download or read book Integration of Landsat and SAR Time Series for Near Real time Deforestation Monitoring written by J. Eberenz and published by . This book was released on 2014 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monitoring forest cover change in near real-time is crucial for timely detection of deforestation. Integration of remote-sensed medium-resolution optical and SAR data can lead to denser time-series in tropical regions with high cloud cover, and thus potentially improve detection speed and accuracy. I developed methods for near real-time deforestation monitoring with integrated multi-temporal Landsat NDVI and ALOS PALSAR L-band HVHH backscatter ratio.

Book Towards an Innovative Remote Sensing Tool for Tropical Forest Change Monitoring by Integrating Spatial Segments and Time Series Analysis

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.

Book Remote Sensing Time Series

Download or read book Remote Sensing Time Series written by Claudia Kuenzer and published by Springer. This book was released on 2015-04-28 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises an outstanding variety of chapters on Earth Observation based time series analyses, undertaken to reveal past and current land surface dynamics for large areas. What exactly are time series of Earth Observation data? Which sensors are available to generate real time series? How can they be processed to reveal their valuable hidden information? Which challenges are encountered on the way and which pre-processing is needed? And last but not least: which processes can be observed? How are large regions of our planet changing over time and which dynamics and trends are visible? These and many other questions are answered within this book “Remote Sensing Time Series Analyses – Revealing Land Surface Dynamics”. Internationally renowned experts from Europe, the USA and China present their exciting findings based on the exploitation of satellite data archives from well-known sensors such as AVHRR, MODIS, Landsat, ENVISAT, ERS and METOP amongst others. Selected review and methods chapters provide a good overview over time series processing and the recent advances in the optical and radar domain. A fine selection of application chapters addresses multi-class land cover and land use change at national to continental scale, the derivation of patterns of vegetation phenology, biomass assessments, investigations on snow cover duration and recent dynamics, as well as urban sprawl observed over time.

Book Optical Time Series Analysis for Monitoring Landcover Changes in Fiji

Download or read book Optical Time Series Analysis for Monitoring Landcover Changes in Fiji written by A. Paschalidou and published by . This book was released on 2013 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monitoring forest cover dynamics is crucial for any initiative to combat tropical deforestation. Remote sensing approaches have the potential to determine forest cover dynamics, providing valuable information for monitoring mechanisms, such as REDD+. This MSc research assessed the potential of optical time series analysis to capture forest cover changes related to harvest operations. Landsat 7 derived NDVI and NDFI time series (2000 - 2012) were analysed by BFASTmonitor algorithm to retrieve temporal changes in forest cover of a study area. We validated the change detection ability and estimation accuracy of BFASTmonitor based on cross-comparison with a generated reference dataset and further, we assessed the performance of the examined spectral indices as change indicators. In addition, we examined factors potentially influencing the accuracy of the proposed method (e.g. magnitude of change, cloud contamination).

Book Introduction to Microwave Remote Sensing

Download or read book Introduction to Microwave Remote Sensing written by Iain H. Woodhouse and published by CRC Press. This book was released on 2017-07-12 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Microwave Remote Sensing offers an extensive overview of this versatile and extremely precise technology for technically oriented undergraduates and graduate students. This textbook emphasizes an important shift in conceptualization and directs it toward students with prior knowledge of optical remote sensing: the author dispels any linkage between microwave and optical remote sensing. Instead, he constructs the concept of microwave remote sensing by comparing it to the process of audio perception, explaining the workings of the ear as a metaphor for microwave instrumentation. This volume takes an “application-driven” approach. Instead of describing the technology and then its uses, this textbook justifies the need for measurement then explains how microwave technology addresses this need. Following a brief summary of the field and a history of the use of microwaves, the book explores the physical properties of microwaves and the polarimetric properties of electromagnetic waves. It examines the interaction of microwaves with matter, analyzes passive atmospheric and passive surface measurements, and describes the operation of altimeters and scatterometers. The textbook concludes by explaining how high resolution images are created using radars, and how techniques of interferometry can be applied to both passive and active sensors.

Book Remote Sensing Systems for Monitoring and Quantifying Tropical Deforestation in the Huallaga River Valley of Peru

Download or read book Remote Sensing Systems for Monitoring and Quantifying Tropical Deforestation in the Huallaga River Valley of Peru written by Fernando R. Echavarria and published by . This book was released on 1989 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis examines the quantification of tropical deforestation, the use of remote sensing techniques for its scientific measurement, and the many controversies surrounding the problem.

Book Spatial Analysis for Radar Remote Sensing of Tropical Forests

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 2021-03-25 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Analysis for Radar Remote Sensing of Tropical Forests is based on the authors' extensive involvement in Synthetic Aperture Radar (SAR) mapping projects, targeting the health of an earth ecosystem with great relevance for climate change studies: the tropical forests. The subject is developed from a vantage point provided by analysis in a combined space, scale (frequency), time, wavelength, polarization domain. The combination of space and scale offers the capability to zoom in and out like a virtual microscope to the resolution in tune with the underlying ecological phenomenon. It also enables statistical measures (correlations) related to the forest spatial distribution in case of backscatter, or to the canopy height variations in case of interferometric observations. The time dimension brings into play measures of the ecosystem dynamics, such as the flooding extent in the swamp forests, deforestation or degradation events. Wavelength and polarization agility extend the abovementioned capabilities by radar observations that are in tune with particular characteristics of the forest and terrain layers. The book's spotlight is on radar spatial random fields, these being populated by either backscatter observations or elevation data from interferometric SAR. The basic tenet here is that the spatial statistic of the fields measured by the wavelet variance (in stationary or non-stationary situations) carries fingerprints of the forest structure. Features: 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. As the first book on this topic, this composite approach appeals to both students learning through important case studies and to researchers finding new ideas for future studies.

Book Use of Remote Sensing for Monitoring Deforestation in Tropical and Subtropical Latitudes

Download or read book Use of Remote Sensing for Monitoring Deforestation in Tropical and Subtropical Latitudes written by James J. Talbot and published by . This book was released on 1981 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Fire Effects on Soil Properties

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.