Listing 1 - 10 of 43 | << page >> |
Sort by
|
Choose an application
Der vorliegende Band präsentiert ausgewählte Beiträge des 5. IAA Symposium on Small Satellites for Earth Observation. Die von der International Academy of Astronautics (IAA) mit Sitz in Paris organisierte Tagung fand vom 4.-8. April 2005 in Berlin statt. Gastgeber war das Deutsche Zentrum für Luft- und Raumfahrt , Berlin. The biennial IAA Symposium on Small Satellites for Earth Observation provides a forum for scientists, engineers and managers to exchange information about planned and on-going programs and missions, and present new ideas, covering small satellite mission objectives as well as technology and management aspects for dedicated earth observation satellites. This volume presents selected contributions of the 5th IAA Symposium on Small Satellites for Earth Observation, April 4 - 8, 2005, organized by the International Academy of Astronautics (IAA), Paris, France, and hosted by the German Aerospace Center (DLR), Berlin, Germany.
Artificial satellites --- Artificial satellites in remote sensing --- Earth observation. --- Small satellite.
Choose an application
Choose an application
Earth Observations (EO) encompasses different types of sensors (e.g., SAR, LiDAR, Optical and multispectral) and platforms (e.g., satellites, aircraft, and Unmanned Aerial Vehicles) and enables us to monitor and model geohazards over regions at different scales in which ground observations may not be possible due to physical and/or political constraints. EO can provide high spatial, temporal and spectral resolution, stereo-mapping and all-weather-imaging capabilities, but not by a single satellite at a time. Improved satellite and sensor technologies, increased frequency of satellite measurements, and easier access and interpretation of EO information have all contributed to the increased demand for satellite EO data. EO, combined with complementary terrestrial observations and with physical models, have been widely used to monitor geohazards, revolutionizing our understanding of how the Earth system works.
LiDAR --- InSAR --- remote sensing --- earthquake --- UAV --- landslide --- land subsidence --- earth observation --- surface displacement --- geohazards --- deformation --- optical --- damage assessment
Choose an application
Achieving the 17 UN Sustainable Development Goals (SDGs) requires accurate, consistent and cost-efficient data. The papers in this book set out some of the frontiers regarding the use of Earth Observation (EO) data derived from satellites to help populate sustainable development indicators. It sets out the current challenges and opportunities in the field along with some case studies from around the world illustrating applications, such as exploring the use of EO for tracking SDG indicators using population grids to assessing resilience to extreme events such as flooding. Likewise, it covers diverse approaches that offer insights and guidance on environmental land management, desertification and support for evaluating education from space.
earth observation --- end-users --- environmental management --- land use --- Brazil --- Sustainable Development Goals --- hazards --- Earth observations --- remote sensing --- demography --- urbanization --- gridded population --- very high resolution satellite data --- habitat suitability --- habitat assessment --- Environmental Land Management --- monitoring --- verification --- reporting --- soil organic carbon --- soil organic matter --- Earth Observation --- SDGs --- indicator type --- data challenges --- UN sustainable development goals --- education --- socio-economic --- overcrowded schools --- vulnerability --- flooding --- Earth Observation (EO) --- Google Street View (GSV) --- climate change --- uncertainty evaluation --- desertification --- global change --- Earth observation --- planetary measurement --- Land Degradation Neutrality
Choose an application
Achieving the 17 UN Sustainable Development Goals (SDGs) requires accurate, consistent and cost-efficient data. The papers in this book set out some of the frontiers regarding the use of Earth Observation (EO) data derived from satellites to help populate sustainable development indicators. It sets out the current challenges and opportunities in the field along with some case studies from around the world illustrating applications, such as exploring the use of EO for tracking SDG indicators using population grids to assessing resilience to extreme events such as flooding. Likewise, it covers diverse approaches that offer insights and guidance on environmental land management, desertification and support for evaluating education from space.
Research & information: general --- Environmental economics --- earth observation --- end-users --- environmental management --- land use --- Brazil --- Sustainable Development Goals --- hazards --- Earth observations --- remote sensing --- demography --- urbanization --- gridded population --- very high resolution satellite data --- habitat suitability --- habitat assessment --- Environmental Land Management --- monitoring --- verification --- reporting --- soil organic carbon --- soil organic matter --- Earth Observation --- SDGs --- indicator type --- data challenges --- UN sustainable development goals --- education --- socio-economic --- overcrowded schools --- vulnerability --- flooding --- Earth Observation (EO) --- Google Street View (GSV) --- climate change --- uncertainty evaluation --- desertification --- global change --- Earth observation --- planetary measurement --- Land Degradation Neutrality
Choose an application
This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and sustainable ways to use forest, farm and fishery resources. As a European initiative, the goal is to use these new findings to support decision-makers and producers – meaning farmers, land and forest owners and fishermen. With their 27 pilot projects from 17 countries, the authors examine important sectors and highlight examples where modern data-driven methods were used to increase sustainability. How can farmers, foresters or fishermen use these insights in their daily lives? The authors answer this and other questions for our readers. The first four parts of this book give an overview of the big data technologies relevant for optimal raw material gathering. The next three parts put these technologies into perspective, by showing useable applications from farming, forestry and fishery. The final part of this book gives a summary and a view on the future. With its broad outlook and variety of topics, this book is an enrichment for students and scientists in bioeconomy, biodiversity and renewable resources.
Forestry & silviculture: practice & techniques --- Agricultural science --- Databases --- Environmental economics --- Data-driven bioeconomy --- big data --- artificial intelligence --- agriculture --- forestry --- earth observation --- satellite images --- fishery --- open access --- Dades massives --- Biologia econòmica --- Bioeconomía --- Biologia --- Botànica econòmica --- Etnobiologia --- Plagues --- Macrodades --- Bases de dades
Choose an application
"Remote Sensing of Urban and Suburban Areas" provides instructors with a text reference that has a logical and easy-to-follow flow of topics around which they can structure the syllabi of their urban remote sensing courses. Topics have been chosen to bridge the gap between remote sensing and urban studies through a better understanding of the science that underlies both fields. In so doing, the book includes 17 chapters written by leading international experts in respected fields to provide a balanced coverage of fundamental issues in both remote sensing and urban studies. Emphasis is placed on: theoretical and practical issues in contemporary urban studies and remote sensing; the spectral, spatial and temporal requirements of remotely sensed data in relation to various urban phenomena; methods and techniques for analyzing and integrating remotely sensed data and image processing with geographic information systems to address urban problems; and examples of applications in which applying remote sensing to tackle urban problems is deemed useful and important. This book will be of interest to university instructors, advanced undergraduate students, graduate students, and researchers in the fields of geography, architecture, engineering and urban planning. - Logical and easy-to-follow flow of topics around which university instructors can structure the syllabuses of their urban remote sensing courses - Set-up of chapters contains educational aids such as learning objectives, summarizing text boxes, exercises and learning activities at the end of each chapter.
Space research --- Geodesy. Cartography --- Environmental planning --- Economic geography --- Geography --- geodesie --- fotogrammetrie --- GIS (geografisch informatiesysteem) --- ruimtelijke ordening --- geografie --- reizen --- sensoren --- urban areas --- Suburban areas --- Remote sensing --- Image processing --- Earth observation satellites --- Towns --- Urbanization
Choose an application
With the surge in publicly available high-resolution satellite imagery, satellite-based monitoring of smallholder agricultural outcomes is gaining momentum. This paper provides recommendations on how large-scale household surveys should be conducted to generate the data needed to train models for satellite-based crop type mapping in smallholder farming systems. The analysis focuses on maize cultivation in Malawi and Ethiopia, and leverages rich, georeferenced plot-level data from national household surveys that were conducted in 2018-20 and that are integrated with Sentinel-2 satellite imagery and complementary geospatial data. To identify the approach to survey data collection that yields optimal data for training remote sensing models, 26,250 in silico experiments are simulated within a machine learning framework. The best model is then applied to map seasonal maize cultivation from 2016 to 2019 at 10-meter resolution in both countries. The analysis reveals that smallholder plots with maize cultivation can be identified with up to 75 percent accuracy. However, the predictive accuracy varies with the approach to georeferencing plot locations and the number of observations in the training data. Collecting full plot boundaries or complete plot corner points provides the best quality of information for model training. Classification performance peaks with slightly less than 60 percent of the training data. Seemingly small erosion in accuracy under less preferable approaches to georeferencing plots results in total area under maize cultivation being overestimated by 0.16 to 0.47 million hectares (8 to 24 percent) in Malawi.
Agriculture --- Climate Change and Agriculture --- Crop Mapping --- Crops and Crop Management Systems --- Data Integration --- Earth Observation --- Earth Sciences and GIS --- Environment --- Household Survey --- Maize --- Natural Disasters --- Remote Sensing --- Satellite Imagery --- Science and Technology Development --- Sentinel-2 --- Sustainable Land Management
Choose an application
This open access book is a consolidation of lessons learnt and experiences gathered from our efforts to utilise Earth observation (EO) science and applications to address environmental challenges in the Hindu Kush Himalayan region. It includes a complete package of knowledge on service life cycles including multi-disciplinary topics and practically tested applications for the HKH. It comprises 19 chapters drawing from a decade’s worth of experience gleaned over the course of our implementation of SERVIR-HKH – a joint initiative of NASA, USAID, and ICIMOD – to build capacity on using EO and geospatial technology for effective decision making in the region. The book highlights SERVIR’s approaches to the design and delivery of information services – in agriculture and food security; land cover and land use change, and ecosystems; water resources and hydro-climatic disasters; and weather and climate services. It also touches upon multidisciplinary topics such as service planning; gender integration; user engagement; capacity building; communication; and monitoring, evaluation, and learning. We hope that this book will be a good reference document for professionals and practitioners working in remote sensing, geographic information systems, regional and spatial sciences, climate change, ecosystems, and environmental analysis. Furthermore, we are hopeful that policymakers, academics, and other informed audiences working in sustainable development and evaluation – beyond the wider SERVIR network and well as within it – will greatly benefit from what we share here on our applications, case studies, and documentation across cross-cutting topics.
Geographical information systems (GIS) & remote sensing --- Ecological science, the Biosphere --- Environmental monitoring --- Climate change --- Political economy --- Earth observation --- Geoinformation technology --- Agriculture and food security --- Land use land cover --- Flooding and extreme weather --- Climate services --- Service area planning --- User engagement --- Capacity building --- Disaster risk reduction --- Open Access
Choose an application
The growing availability of free or inexpensive satellite imagery has inspired many researchers to investigate the use of earth observation data for monitoring economic activity around the world. One of the most popular earth observation data sets is the so-called nighttime lights from the Defense Meteorological Satellite Program. Researchers have found positive correlations between nighttime lights and several economic variables. These correlations are based on data measured in levels, with a cross-section of observations within a single time period across countries or other geographic units. The findings suggest that nighttime lights could be used as a proxy for some economic variables, especially in areas or times where data are weak or unavailable. Yet, logic suggests that nighttime lights cannot serve as a good proxy for monitoring the within-in country growth rates all of these variables. Examples examined this paper include constant price gross domestic product, non-agricultural gross domestic product, manufacturing value added, and capital stocks, as well as electricity consumption, total population, and urban population. The study finds that the Defense Meteorological Satellite Program data are quite noisy and therefore the resulting growth elasticities of Defense Meteorological Satellite Program nighttime lights with respect to most of these socioeconomic variables are low, unstable over time, and generate little explanatory power. The one exception for which Defense Meteorological Satellite Program nighttime lights could serve as a proxy is electricity consumption, measured in 10-year intervals. It is hoped that improved data from the recently launched Suomi National Polar-Orbiting Partnership satellite will help expand or improve these outcomes. Testing this should be an important next step.
Capital --- DMSP-OLS --- E-business --- Earth observation --- Economic growth --- Economic monitoring --- Economic theory & research --- Electric power consumption --- Gross domestic product --- Inequality --- Linear regression --- Macroeconomics and economic growth --- Night-time light data --- NPP-VIIRS --- Population --- Poverty reduction --- Private sector development --- Pro-poor growth --- Satellite imagery
Listing 1 - 10 of 43 | << page >> |
Sort by
|