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Book Monitoring Long term Forest Dynamics Using Very Dense Landsat Time Series

Download or read book Monitoring Long term Forest Dynamics Using Very Dense Landsat Time Series written by Adam Chlus and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 Tropical Forest Diversity and Dynamism

Download or read book Tropical Forest Diversity and Dynamism written by Elizabeth Claire Losos and published by . This book was released on 2004 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long-term Forest Dynamics Plots (FDPs) allow ecologists to explain patterns in diversity and dynamics in tropical forests around the world. In this collection, Elizabeth Losos and Egbert Giles Leigh Jr. assemble extensive standardized data—collected here in one location for the first time—from sixteen tropical FDPs and synthesize the findings, putting these unique and valuable plots in a global context by highlighting the utility of the collected data for conservation and forest management. Written by experts in the field of tropical ecology, Tropical Forest Diversity and Dynamism will appeal to students and professionals with an interest in community ecology and patterns of diversity.

Book Tropical Forests in Transition

Download or read book Tropical Forests in Transition written by J. Goldammer and published by Birkhäuser. This book was released on 2013-03-08 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: In evolutionary time scales natural disturbances have affected the vegetation on Earth. During the Quaternary the forest biomes of the tropics were subjected to manifold disturbances. Climate changes and climate oscillations were associated with changing precipitation and drought regimes, flooding, siltation, landslides, etc. The prehistorical forest was also influenced by the effects of large wildlife populations. Large-scale catastrophies in the forest biomes were mainly caused by abiotic environmental alterations, the small-scale disturbances were and still are related to both biotic and abiotic processes. Both the large-and the small-scale disturbances have played a significant role in shaping distribution, dynamics, structure and composition of the paleoforest. After the expansion of hominids and early humans, and later, by modern humans, the anthropogenic influences on the tropical forest began to overlap natural disturbances. Today's anthropogenic impacts on the tropical forests differ qualitatively and quanitatively from the natural disturbances. The speed of tropical deforestation and savannization is dramatically increasing. The physical and chemical impacts of forest conversion and biomass burning add to other anthropogenic influences on the atmosphere and climate. The expected anthropogenic climate change will also have considerable impacts on the tropical flora and fauna. The book on "Tropical Forests in Transition" synthesizes information on changing environmental conditions and human impacts on the tropical forest by looking back to the paleoecology, analyzing the impact of modern human populations and modeling the future of the tropical forest in a changing environment. The aim of the book is to strengthen multidisciplinary thinking in disturbance ecology.

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 Leveraging Multi Sensor Time Series Datasets to Map Short and Long Term Forest Disturbances and Drivers of Change in the Colombian Andes

Download or read book Leveraging Multi Sensor Time Series Datasets to Map Short and Long Term Forest Disturbances and Drivers of Change in the Colombian Andes written by Paulo Jose Murillo Sandoval and published by . This book was released on 2017 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: The spatial distribution of forest disturbance is commonly calculated using a satellite imagery-driven bi- or tri-temporal change analysis. Working in Colombia’s Cordillera de los Picachos National Natural Park – a region of consistent cloud cover and dramatic topographic relief – a change assessment with such infrequent observations cannot capture long-term trends of vegetative decline (browning) or improvement (greening) nor the drivers associated with these changes. In recognition of the importance of spatio-temporally explicit information for assessing the effects of socio-environmental change and conservation strategy implementation, I developed a rigorous assessment of vegetation change using MODIS and Landsat time-series data and the Breaks For Additive Season and Trend (BFAST) algorithm to identify the timing, trends, and locations of change as well the associated drivers. First, I measured long-term vegetation trends from 2001-2015 using a Moderate Resolution Imaging Spectroradiometer (MODIS)-based 250m resolution Multi-Angle Implementation of Atmospheric Correction (MAIAC) time-series, and mapped short-term disturbances using all available Landsat images (149 dates from Landsat 5, 7, and 8). BFAST trends based on MAIAC data indicate a net greening in 6% of the park, with a net browning trend of 2.5% in the 10km-wide region surrounding the park. I also identified a 12,500 ha area within Picachos (4% of the park’s total area) that experienced a consecutive vegetative decline or browning during every year of study, a result corroborated with a BFAST Monitor assessment using finer 30m resolution Landsat data. With Landsat, I recorded 12,642 ha (±1440) of disturbed forest within the park at high spatial and temporal accuracy. Spatially, Landsat results had user’s and producer’s accuracies of 0.95±0.02 and 0.83±0.18, respectively. Temporally, a TimeSync-supported temporal validation assessment showed that 75% of Landsat-detected dates of disturbance events were accurate within ± 6 months. With disturbances identified, I characterized disturbances within Picachos’ southeastern foothills and associated drivers using a set of metrics related to the spectral, pattern and trend properties of disturbance patches derived from Landsat time-series data (1996-2015). A training dataset was initially developed to identify drivers of disturbances using Corine Land Cover maps and high-resolution imagery. A Random Forests classifier was used to attribute disturbances to specific drivers of forest cover change: conversion to pasture, conversion to subsistence agriculture, and non-stand replacing disturbance (i.e., thinning). Attribution of changes had high accuracy at patch and area levels with 1-5% commission and 2-14% omission errors, respectively, for regions that were converted to pasture or experienced thinning. Lower agreement was found for agricultural conversion with 43% omission and 9% commission errors. I found that conversion to pasture is the main cause of forest cover loss within Picachos at 9901 ha (±72) corresponding to 14.7% of Picachos’ foothills, and that subtle forest alteration contributed to 1327 ha (±92) of forest degradation. Recognizing the diversity of pressures facing conservation strategy implementation in the region, these results have direct relevance for anticipating future land use pressures within Colombia, as well as across similar regions in the Andes-Amazon transition area. Indeed, since these results reveal the possibility to uncover historical disturbances related to human-incursion in protected landscapes, the methods are well suited to enhancing landscape planning particularly where biodiversity richness is quickly diminishing due to anthropogenic presence.

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 Polarimetric Data for Tropical Forest Monitoring

Download or read book Polarimetric Data for Tropical Forest Monitoring written by Marcela Quiñones Fernández and published by . This book was released on 2002 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 Long term Monitoring of Tropical Moist Forest Extent from 1990 to 2019

Download or read book Long term Monitoring of Tropical Moist Forest Extent from 1990 to 2019 written by and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for accurate information on the state and evolution of tropical forest types at regional and continental scales is widely recognized, particularly to analyze the forest diversity and dynamics, to assess degradation and deforestation processes and to better manage these natural resources. Here we document the approach that was developed by JRC to map and monitor the extent of moist tropical forests and their changes (degradation, deforestation and regrowth) over the last three decades (1990-2020) at fine spatial resolution (30 m × 30 m). The approach is based on the analysis of each valid observation from the Landsat archive and allows to capture disturbances with a short-duration appearance on satellite imagery such as selective logging, fires, and severe weather events (hurricanes, dryness). This new approach allows characterizing the sequential dynamics of forest cover changes by providing transition stages from the initial observation period to the most recent year (2019 for this report). For the first time at the pantropical scale the occurrence and extent of forest degradation can be documented on an annual basis in addition to the monitoring of deforestation. After a short introduction (chapter 1), this technical report describes the study area (chapter 2), the input data (chapter 3), the method that has been developed (chapter 4), and the outcomes of this study (chapter 5). A discussion is also provided regarding the specificities and added value of the outcomes (chapter 6), and the known limitations and future expected improvements (chapter 7). This new pan-tropical scale deforestation and forest degradation monitoring system will contribute to the EU Observatory on deforestation, forest degradation, changes in the world's forest cover, and associated drivers, which is an action being implemented in the framework of the Communication from the Commission to step up EU action to protect and restore the World's forests (COM(2019) 352).