תמונות העטיפה

Space for Sustainability: Using Data from Earth Observation to Support Sustainable Development Indicators

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...

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שמור ב:
פורמט: Online
שפה:אנגלית
יצא לאור: MDPI - Multidisciplinary Digital Publishing Institute 2022
נושאים:
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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
גישה מקוונת:ONIX_20220706_9783036542652_73
תגים: הוספת תג
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סיכום: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.

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