Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Unmanned aerial vehicles (UAVs) are new platforms that have been increasingly used in the last few years for forestry applications that benefit from the added value of flexibility, low cost, reliability, autonomy, and capability of timely provision of high-resolution data. The main adopted image-based technologies are RGB, multispectral, and thermal infrared. LiDAR sensors are becoming commonly used to improve the estimation of relevant plant traits. In comparison with other permanent ecosystems, forests are particularly affected by climatic changes due to the longevity of the trees, and the primary objective is the conservation and protection of forests. Nevertheless, forestry and agriculture involve the cultivation of renewable raw materials, with the difference that forestry is less tied to economic aspects and this is reflected by the delay in using new monitoring technologies. The main forestry applications are aimed toward inventory of resources, map diseases, species classification, fire monitoring, and spatial gap estimation. This Special Issue focuses on new technologies (UAV and sensors) and innovative data elaboration methodologies (object recognition and machine vision) for applications in forestry.

unmanned aerial vehicles --- seedling detection --- forest regeneration --- reforestation --- establishment survey --- machine learning --- multispectral classification --- UAV photogrammetry --- forest modeling --- ancient trees measurement --- tree age prediction --- Mauritia flexuosa --- semantic segmentation --- end-to-end learning --- convolutional neural network --- forest inventory --- Unmanned Aerial Systems (UAS) --- structure from motion (SfM) --- Unmanned Aerial Vehicles (UAV) --- Photogrammetry --- Thematic Mapping --- Accuracy Assessment --- Reference Data --- Forest Sampling --- Remote Sensing --- Robinia pseudoacacia L. --- reproduction --- spreading --- short rotation coppice --- unmanned aerial system (UAS) --- object-based image analysis (OBIA) --- convolutional neural network (CNN) --- juniper woodlands --- ecohydrology --- remote sensing --- unmanned aerial systems --- central Oregon --- rangelands --- seedling stand inventorying --- photogrammetric point clouds --- hyperspectral imagery --- leaf-off --- leaf-on --- UAV --- multispectral image --- forest fire --- burn severity --- classification --- precision agriculture --- biomass evaluation --- image processing --- Castanea sativa --- unmanned aerial vehicles (UAV) --- precision forestry --- forestry applications --- RGB imagery

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The successful transmediation of books and documents through digitization requires the synergetic partnership of many professional figures, that have what may sometimes appear as contrasting goals at heart. On one side, there are those who look after the physical objects and strive to preserve them for future generations, and on the other those involved in the digitization of the objects, the information that they contain, and the management of the digital data. These complementary activities are generally considered as separate and when the current literature addresses both fields, it does so strictly within technical reports and guidelines, concentrating on procedures and optimal workflow, standards, and technical metadata. In particular, more often than not, conservation is presented as ancillary to digitization, with the role of the conservator restricted to the preparation of items for scanning, with no input into the digital product, leading to misunderstanding and clashes of interests. Surveying a variety of projects and approaches to the challenging conservation-digitization balance and fostering a dialogue amongst practitioners, this book aims at demonstrating that a dialogue between apparently contrasting fields not only is possible, but it is in fact desirable and fruitful. Only through the synergetic collaboration of all people involved in the digitization process, conservators included, can cultural digital objects that represent more fully the original objects and their materiality be generated, encouraging and enabling new research and widening the horizons of scholarship.

Digital preservation --- Library materials --- Libraries --- Archives --- Digitization. --- Conservation and restoration --- Conservation and restoration. --- Archival materials --- Books --- Digital preservation. --- Digital humanities. --- 025.7 --- 091:004.9 --- 091:004.9 Handschriftenkunde. Handschriftencatalogi-:-Toepassingsgerichte technieken gebaseerd op computers --- Handschriftenkunde. Handschriftencatalogi-:-Toepassingsgerichte technieken gebaseerd op computers --- 025.7 Conserveren van boeken. Inbinden. Microfilmeren. Digitaliseren --- Conserveren van boeken. Inbinden. Microfilmeren. Digitaliseren --- Computer files --- Digital curation --- Digital media --- Electronic preservation --- Preservation of digital information --- Preservation of materials --- Book repairing --- Book-worms --- Digitalization of library materials --- Digitization of library materials --- Humanities --- Preservation --- Care --- Repairing --- Mutilation, defacement, etc. --- Data processing --- Information technology --- Book conservation --- books --- digitizing --- preserving --- book conservation. --- cultural heritage. --- digital humanities. --- digitization. --- multispectral imaging.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Each year, disasters such as storms, floods, fires, volcanoes, earthquakes, and epidemics cause thousands of casualties and tremendous damage to property around the world, displacing tens of thousands of people from their homes and destroying their livelihoods. The majority of these casualties and property loss could be prevented if better information were available regarding the onset and course of such disasters. Several remote sensing technologies, such as meteorological and Earth observation satellites, communication satellites, and satellite-based positioning, supported by geoinformation technologies, offer the potential to contribute to improved prediction and monitoring of potential hazards, risk mitigation, and disaster management which, in turn, would lead to sharp reductions in losses to life and property. This book explores most of the scientific issues related to spatially supported disaster management and its integration with geographical information system technologies in different disaster examples and scales. Dealing with disasters over space and time represents a long-lasting theme, now approached by means of innovative techniques and modelling approaches. Several priorities for actions are outlined toward preventing new and reduce existing disaster risks, including understanding disaster risk, strengthening disaster risk governance for management of disaster risk, investing in disaster reduction for resilience, and enhancing disaster preparedness for effective response. This book presents ideas to address the challenges facing different components of spatial patterns related to ecological processes, and the published articles extended versions of selected presentations from the Gi4DM Conference in 2019 in Prague.

mapping impact --- tidal flood --- hydrodynamic model --- solar salt farming --- drone --- computer vision --- point clouds --- machine learning --- CNN --- GAN --- first responder --- RECONASS --- INACHUS --- multi-hazard --- susceptibility mapping --- developing urban settlements --- landslide --- flood --- logistic regression --- Mamdani fuzzy algorithm --- M-AHP --- cartographic symbols --- map symbology --- crisis map --- comparative analysis --- taxonomy --- graphic design --- availability --- promulgation --- sharing --- standardisation --- Black sea --- sea level change --- tide gauge --- satellite altimetry --- GNSS --- post-fire management --- forest regeneration --- fire severity mapping --- multispectral imagery --- Sentinel-2A --- unmanned aerial vehicles --- Parrot SEQUOIA --- climate change --- fuzzy logic --- GIS, household --- Index method --- sea level rise --- vulnerability --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Coastal environments are dynamic ecosystems, where erosion is influenced by meteorological/climatic, geological, biological, and anthropic factors. Erosion has worrying effects on the environment, infrastructure, lifelines, and buildings. Furthermore, climate change is exacerbating an already fragile situation. We are witnessing a high-risk situation and are convinced that this is the most appropriate time to focus on state-of-the-art remote sensing techniques for shoreline monitoring. The improvements in the spatial and spectral resolution of current and next generation satellite-based sensors and the significant progress in the spatial data processing identify remote sensing techniques that increase our knowledge of territory and coastline. This Special Issue aims to highlight an overview of all multiscale remote sensing techniques (e.g., high resolution images, photogrammetry, SAR, etc.) and a whole array of methods and techniques that process, analyse, and discuss multitemporal remotely sensed data. Thank you to all of our contributors and authors for their interesting and illuminating studies. Since this topic is complex and dynamic, we hope to develop this research with future works to form more cutting-edge studies.

History of engineering & technology --- DGPS measurements --- video camera observation --- shoreline position --- beach survey --- Sentinel-2 --- Remote Sensing --- habitat mapping --- mangroves --- coral reefs --- climate change --- vulnerable habitats --- side-scan sonar --- swath bathymetry --- habitat monitoring --- hurricane Sandy --- hurricane Joaquin --- shoreline detection --- remote sensing --- WorldView-2 --- Abruzzo --- multispectral classification --- shoreline --- coastline --- satellite images --- synthetic aperture radar (SAR) --- Sentinel-1 --- shoreline extraction --- coastline extraction --- active connection matrix (ACM) --- J-Net Dynamic --- edge detection --- canny edge detector --- coastline mapping --- geomatics --- SfM photogrammetry --- network RTK --- sea level rise --- coastlines --- 2100 --- storm surges --- heritage sites --- Pyrgi --- Mediterranean --- UAV --- DSM

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Advanced Thermal Emission and Reflection Radiometer (ASTER) is a research facility instrument on NASA’s Terra spacecraft. We celebrated the 20th anniversary of ASTER’s launch in December 1999. ASTER has been providing high spatial resolution multispectral data in the VNIR, SWIR, and TIR regions, and along-track stereo data. Starting April 2016, ASTER data have been distributed to the public at no cost. Another important and the most popular data set is the ASTER Global DEM, which covers almost the entire land surface at a 30 m grid size. ASTER data have been widely used in a variety of application areas such as land surface mapping and change detection, volcano and other natural hazard monitoring, mineral exploration, and urban heat island monitoring. This Special Issue consists of 12 papers (2 reviews, 9 articles, and 1 technical note) and covers topics including development of new techniques to process ASTER data, calibration activities to ensure long-term consistency of ASTER data, validation of the ASTER data products, and scientific achievements using ASTER data.

emissivity --- n/a --- vicarious calibration --- digital elevation model --- optical sensor --- loess --- Terra ASTER --- land-surface temperature --- lithological mapping --- sediment transport pathways --- Mosaic --- validation --- thermal infrared --- Terra MODIS --- True Color imagery --- ASTER multispectral data --- fluvial --- water body detection --- morphology --- MOD35 --- lunar calibration --- cloud coverage --- volcanic processes --- Wudalianchi volcano --- Ming Dynasty --- Artificial Neural Network --- permafrost --- ASTER --- Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) --- stereo --- erosion --- Mako --- geologic mapping --- Algodones --- future concepts --- 3D perspective view --- observation scheduler --- earthen Great Wall --- thermal infrared data --- lithology --- mineral exploration --- VNIR --- cloud mask --- cloud avoidance --- aeolian --- phase change --- mission operations --- temperature --- global database --- zero curtain effect --- image archive --- mineral system --- deposition --- DEM --- MODIS --- success rate --- uncertain flag --- TES algorithm --- ASTER instrument --- radiometric calibration --- mineral mapping --- atmospheric correction --- TIR