Evaluating Close Range Remote Sensing Techniques For The Retention Of Biodiversity Related Forest Structures
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Evaluating Close Range Remote Sensing Techniques For The Retention Of Biodiversity Related Forest Structures
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Author : Julian Frey
language : en
Publisher:
Release Date : 2019
Evaluating Close Range Remote Sensing Techniques For The Retention Of Biodiversity Related Forest Structures written by Julian Frey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Abstract: Forest management alters the spatial structure of forests, which directly shapes the biodiversity, processes and functioning of such ecosystems. While forest structure is commonly quantified using field-based forest management metrics, close range (distances 150m) remote sensing techniques are able to describe the distribution of material in 3D space with very high detail and precision. Since manual inventories of forest structure are labor intensive and suffer from observer biases remote sensing techniques offer new possibilities for efficient and objective quantifications of forest structure. To investigate the impacts of forest management on stand structure, new indices and metrics based on 3D point clouds have been developed and validated. This dissertation is structured in three publications (Chapters 4 - 6), starting with a methods paper on UAV flight planning optimization, followed by a comparison of tree related microhabitat inventories and close range remote sensing indices for stand structure quantification, and ending with a validation of a remote sensing index based on a forest expert survey.brFor the first paper, a technical flight planning optimization was conducted for unmanned aerial vehicles structure from motion as a basis for optimal data acquisition (Chapter 4). The image forward overlap and ground sampling distance were varied, and the parameters of the resulting geometric model completeness in 2D and 3D space that differed could be independently quantified. While finer resolutions led to a better representation of smaller forest details and a better representation of the understory, the model completeness suffered from it. A higher forward image overlap can compensate for this if the overlap is very high (95%). Tree related microhabitat (TreM) inventories are unlike remote sensing based indices but have a similar aim of quantifying forest structures, which can be accumulated to a stand level. TreMs themselves are special tree level structures such as forks, cavities and fungi. While both approaches have different perspectives on forest structure, their common goal of forest stand structure quantification make the respective insights from these methods worth comparing (Chapter 5). A significant correlation with a weak R2 (0.30) indicate that these two measures are linked but that their representation of stand structure is complementary. Foresters and other forest experts are of major relevance to the topic of implementation of retention management and the selection of retention patches, since they are the decision makers and practitioners in this sector. The judgement of those experts could be biased by additional objectives and individual preferences. In an extensive online survey (n=444), experts were asked to quantify stand structure on 360 degree panoramic images in an interactive viewer. The expert responses were compared to stand structural complexity metrics derived from terrestrial laser scans, which were taken at the same location from the same viewpoint. The standard deviation of the expert judgements were high, which indicates the necessity of objective measurements. The laser scanning based index significantly correlated with the expert judgements, which shows that neither the expert ratings nor the scanning index are random and that laser scanning is an option for more objective decision making processes. However, experts in the field might take a variety of additionally relevant criteria (e.g. rareness of the habitat in landscape, special tree features, breeding places) into account, which should not been overlooked. In summary, this dissertation validated and adapted several indices based on close range remote sensing techniques and showed their potential as monitoring tools and assistance for the forest management decision-making processes
Predicting Tree Related Microhabitats By Multisensor Close Range Remote Sensing Structural Parameters For An Efficient Selection Of Retention Elements
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Author : Julian Frey
language : en
Publisher:
Release Date : 2020
Predicting Tree Related Microhabitats By Multisensor Close Range Remote Sensing Structural Parameters For An Efficient Selection Of Retention Elements written by Julian Frey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Abstract: The retention of structural elements such as habitat trees in forests managed for timber production is essential for fulfilling the objectives of biodiversity conservation. This paper seeks to predict tree-related microhabitats (TreMs) by close-range remote sensing parameters. TreMs, such as cavities or crown deadwood, are an established tool to quantify the suitability of habitat trees for biodiversity conservation. The aim to predict TreMs based on remote sensing (RS) parameters is supposed to assist a more objective and efficient selection of retention elements. The RS parameters were collected by the use of terrestrial laser scanning as well as unmanned aerial vehicles structure from motion point cloud generation to provide a 3D distribution of plant tissue. Data was recorded on 135 1-ha plots in Germany. Statistical models were used to test the influence of 28 RS predictors, which described TreM richness (R2: 0.31) and abundance (R2: 0.31) in moderate precision and described a deviance of 44% for the abundance and 38% for richness of TreMs. Our results indicate that multiple RS techniques can achieve moderate predictions of TreM occurrence. This method allows a more efficient and objective selection of retention elements such as habitat trees that are keystone features for biodiversity conservation, even if it cannot be considered a full replacement of TreM inventories due to the moderate statistical relationship at this stage
Analysis Of Remote Sensing Data For Evaluating Vegetation Resources
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Author : Forestry Remote Sensing Laboratory (Berkeley, Calif.)
language : en
Publisher:
Release Date : 1971
Analysis Of Remote Sensing Data For Evaluating Vegetation Resources written by Forestry Remote Sensing Laboratory (Berkeley, Calif.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1971 with Agriculture categories.
Habitat Classi Cation Using Airborne And Spaceborne Remote Sensing For Biodiversity Assessment In Wales
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Author : Johanna Friederike Breyer
language : en
Publisher:
Release Date : 2009
Habitat Classi Cation Using Airborne And Spaceborne Remote Sensing For Biodiversity Assessment In Wales written by Johanna Friederike Breyer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Biodiversity and its conservation are an important subject as human pressure onnatural resources increases continuously. Without accurate means of measuringbiodiversity, however, monitoring is very di cult and conservation e orts mightnot be targeted e ectively. There is a great demand for biodiversity assessmenton a regional scale in order to support national conservation aims as stated, forexample, in the UK Biodiversity Action Plan. Remote sensing lends itself tointerpretation at the landscape scale and this study aims to assess a variety ofoptical and laser remote sensing data with regard to their usefulness for biodiversityassessment in Wales. The study was divided into four distinct areas to evaluate di erent remote sensingdata with regard to their utility for facilitating the measurement and assessmentof distinct elements of biodiversity. These components are vegetation compositionand condition, land cover on a regional scale, three-dimensional woodlandstructure and the interaction of ora and fauna within the landscape structure. Methodological advances include a novel land cover mapping approach from multispectralremote sensing data comparable to traditional manual habitat surveys aswell as an analysis of forest vertical pro le under consideration of bird habitatpreferences. Remote sensing data investigated included airborne hyperspectral data, multispectralsatellite imagery and airborne LiDAR. The potential of hyperspectral data for the di erentiation of grasslands of varyinglevels of improvement was tested at two experimental grassland study sites andthe results suggest a strong correlation between biomass and the red-edge regionof the electromagnetic spectrum. A relationship between the presence of nonphotosyntheticvegetation and the level of agricultural improvement was further established and utilized in the formulation of rules for the classi cation of grasslandhabitats. The outcomes of this study were used to support the landscape-scale land covermapping of the extent of 38 classes from a multi-temporal combination of twospaceborne multispectral sensors (SPOT 5 HRG and IRS LISS IV). The derivedmaps achieved a moderate accuracy of 64%, though individual classes, especiallywoodlands and bogs, exceeded this value. The ability of Light Detection and Ranging (LiDAR) and terrestrial laser scannerdata to capture the three-dimensional structure of forests was investigated. It wasfound that both sensor types were limited in their ability to accurately representforest vertical pro le due to respective downward and upward signal attenuationthrough the canopy. However, both provided an accurate digital terrain modeland correlated well in their estimation of canopy height. Despite the limitations of vertical forest structure assessment from airborne Li-DAR, observation of bird species could be linked to distinct forest vertical pro les. Specialist woodland species were found to have the strongest habitat preferenceswith regard to the vertical forest structure. This project has achieved advancements in the mapping of agricultural land andhabitats in Wales, using remote sensing data, speci cally in the di erentiation ofgrassland improvement levels and tree species discrimination from multispectralsatellite imagery. Furthermore, a strong correspondence between airborne andterrestrial laser scanner outputs has been established and LiDAR forest pro leshave been shown to relate well to known woodland bird habitat preferences. The added value derived from examining these four research areas as part of asingle study, consists of the knowledge gained in how best to harness the respectiveremote sensing methods for the evaluation of very di erent aspects of biodiversity. It has further been shown that it is possible to use optical remote sensing data ata high spatial and spectral resolution, but low availability to inform and improvethe utilization of more widely accessible, but less detailed images. Furthermore, a method has been developed which allows the interpolation of avian diversityfrom the assessment vertical forest structure. As biodiversity consists of manydi erent elements at a wide variety of scales it is crucial to be able to performsuch integrated analyses of its various components. However, only a combinedapproach towards the utilization of remote sensing, as demonstrated in this study, is likely to gain the necessary data. The outcomes of this research support Wales-wide assessment of biodiversity andfacilitate the production of regional or national vegetation maps as well as structuralattributes for input into models. Components of the study can be used tosupport, for example, climate change research, assessments of biodiversity and policydecisions. Optical and laser remote sensing data can be successfully utilizedfor Wales-wide biodiversity components analysis.
Hyperspectral Remote Sensing Of Tropical And Sub Tropical Forests
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Author : Margaret Kalacska
language : en
Publisher: CRC Press
Release Date : 2008-02-26
Hyperspectral Remote Sensing Of Tropical And Sub Tropical Forests written by Margaret Kalacska and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-26 with Nature categories.
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
Asia Pacific Roadmap For Primary Forest Conservation
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Author : Laumonier, Y., Azzu, N., Azdan, G., Narulita, S., Khikmah, F., Meybeck, A., Pingault, N., Gitz, V.
language : en
Publisher: Food & Agriculture Org.
Release Date : 2022-08-12
Asia Pacific Roadmap For Primary Forest Conservation written by Laumonier, Y., Azzu, N., Azdan, G., Narulita, S., Khikmah, F., Meybeck, A., Pingault, N., Gitz, V. and has been published by Food & Agriculture Org. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Nature categories.
The purpose of the roadmap is to delineate and inform the process by which decision makers and actors can evaluate the status, diversity and trends of primary forests in the region, identify priority areas for primary forest conservation, assess the threats they face, and explore possible ways to address them. This report suggests a practical process in four steps, through which the recommendations can be articulated at different scales (from regional to local) and adapted to the specific context, priorities and needs of various forest types, countries and categories of actors.
Asia Pacific Roadmap For Primary Forest Conservation
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Author : Laumonier, Y.
language : en
Publisher: CIFOR
Release Date : 2022-07-31
Asia Pacific Roadmap For Primary Forest Conservation written by Laumonier, Y. and has been published by CIFOR this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-31 with categories.
Spatial Analysis For Radar Remote Sensing Of Tropical Forests
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Author : Elsa Carla de Grandi
language : en
Publisher:
Release Date : 2023-05-31
Spatial Analysis For Radar Remote Sensing Of Tropical Forests written by Elsa Carla de Grandi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-31 with categories.
This book is based on authors' extensive involvement in large-scale radar mapping projects, targeting the health of an important earth ecosystem, tropical forests. It highlights past achievements, explains the underlying physics that allow the radar practitioners to understand what radars image, and paves the way for future developments.
Sourcebook On Remote Sensing And Biodiversity Indicators
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Author : Holly Strand
language : en
Publisher:
Release Date : 2007
Sourcebook On Remote Sensing And Biodiversity Indicators written by Holly Strand and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Biodiversity categories.
"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.
Emerging Technologies For Biodiversity Assessment Of Changing Tropical Forests
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Author :
language : en
Publisher:
Release Date : 2019
Emerging Technologies For Biodiversity Assessment Of Changing Tropical Forests written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Increasing anthropogenic pressure leads to habitat loss of tropical forests through deforestation and forest degradation. Tropical forest-dependent species are threatened with such disturbances that alter the complexity of their habitat. Measuring the structural configuration and diversity of tropical forest habitats will help explain the state of forest degradation and the resulting biodiversity dynamics. Biodiversity dynamics due to natural and anthropogenic disturbances are mainly monitored using conventional field survey approaches. However, these approaches often fall short at addressing complex disturbance factors and responses at different spatiotemporal scales. The integration of novel monitoring approaches such as satellite remote sensing, terrestrial LIght Detection and Ranging (LiDAR), and high-throughput DNA metabarcoding have the potential to improve the detection of subtle tropical forest disturbances and responses of species to changing tropical forests, which are largely unknown. This thesis’ aim is to investigate the application of emerging satellite remote sensing and in-situ measurements to assess the complex forest biodiversity dynamics in changing tropical forests. A particular focus is given to the use of terrestrial LiDAR and satellite remote sensing for deriving forest structure parameters that inform on the state of different tropical forest habitats. For this purpose, field plots were established in the UNESCO Kafa biosphere reserve (KBR), Ethiopia. The study has identified the complementarity between remote sensing and in-situ measurements, on the bases of the primary biodiversity attributes and the essential biodiversity variables; demonstrated that the impacts of disturbance on forest structure can be captured with terrestrial LiDAR measurements; assessed the sensitivity of satellite remote sensing derived parameters to field measured structural variables; and demonstrated that the influence of forest habitat conditions on leaf-litter-arthropod composition can be identified by linking forest structure parameters that are derived from remote sensing and conventional measurement with DNA metabarcoding diversity dataset. This thesis provides a scientific contribution to the exploration of integrating technological advancements in remote sensing and in-situ measurements to derive information that is essential for assessing forest biodiversity change.