Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2020, Volume and Issue: 164, P. 152 - 170

Published: May 7, 2020

Language: Английский

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Annual maps of global artificial impervious area (GAIA) between 1985 and 2018

Remote Sensing of Environment, Journal Year: 2019, Volume and Issue: 236, P. 111510 - 111510

Published: Nov. 19, 2019

Language: Английский

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High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015

Nature Sustainability, Journal Year: 2020, Volume and Issue: 3(7), P. 564 - 570

Published: May 4, 2020

Language: Английский

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Mapping global urban boundaries from the global artificial impervious area (GAIA) data

Environmental Research Letters, Journal Year: 2020, Volume and Issue: 15(9), P. 094044 - 094044

Published: June 11, 2020

Abstract Urban boundaries, an essential property of cities, are widely used in many urban studies. However, extracting boundaries from satellite images is still a great challenge, especially at global scale and fine resolution. In this study, we developed automatic delineation framework to generate multi-temporal dataset (GUB) using 30 m artificial impervious area (GAIA) data. First, delineated initial boundary by filling inner non-urban areas each city. A kernel density estimation approach cellular-automata based growth modeling were jointly step. Second, improved the around fringe areas, morphological dilating eroding derived extent. We implemented on Google Earth Engine platform generated resolution seven representative years (i.e. 1990, 1995, 2000, 2005, 2010, 2015, 2018). Our extracted show good agreement with results nighttime light data human interpretation, they can well delineate extent cities when compared high-resolution images. The total 65 582 GUBs, which exceeds 1 km 2 , 809 664 2018. surface account for approximately 60% total. From 1990 2018, proportion increased 53% 60%, suggesting compact over past decades. found that United States has highest per capita more than 900 ) among top 10 most urbanized nations This provides physical be study impact urbanization food security, biodiversity, climate change, health. GUB accessed http://data.ess.tsinghua.edu.cn .

Language: Английский

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40-Year (1978–2017) human settlement changes in China reflected by impervious surfaces from satellite remote sensing

Science Bulletin, Journal Year: 2019, Volume and Issue: 64(11), P. 756 - 763

Published: April 17, 2019

Language: Английский

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Direct and indirect loss of natural area from urban expansion

Nature Sustainability, Journal Year: 2019, Volume and Issue: 2(8), P. 755 - 763

Published: July 29, 2019

Language: Английский

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Fifty years of Landsat science and impacts

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 280, P. 113195 - 113195

Published: July 28, 2022

Since 1972, the Landsat program has been continually monitoring Earth, to now provide 50 years of digital, multispectral, medium spatial resolution observations. Over this time, data were crucial for many scientific and technical advances. Prior program, detailed, synoptic depictions Earth's surface rare, ability acquire work with large datasets was limited. The early delivered a series technological breakthroughs, pioneering new methods, demonstrating capacity digital satellite imagery, creating template other global Earth observation missions programs. Innovations driven by have paved way subsequent science, application, policy support activities. economic value knowledge gained through long recognized, despite periods funding uncertainty, resulted in program's continuity, as well substantive ongoing improvements payload mission performance. Free open access data, enacted 2008, unprecedented substantially increased usage led proliferation science application opportunities. Here, we highlight key developments over past that influenced changed our understanding system. Major programmatic impacts realized areas agricultural crop mapping water use, climate change drivers impacts, ecosystems land cover monitoring, changing human footprint. introduction collection processing, coupled free policy, facilitated transition away from single images towards time analyses fostered widespread use science-grade data. launch Landsat-9 on September 27, 2021, advanced planning its successor mission, Landsat-Next, underscore sustained institutional program. Such commitment continuity is recognition both historic impact future potential build upon Landsat's remarkable 50-year legacy.

Language: Английский

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A reversal in global terrestrial stilling and its implications for wind energy production

Nature Climate Change, Journal Year: 2019, Volume and Issue: 9(12), P. 979 - 985

Published: Nov. 18, 2019

Language: Английский

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Outlining where humans live, the World Settlement Footprint 2015

Scientific Data, Journal Year: 2020, Volume and Issue: 7(1)

Published: July 20, 2020

Abstract Human settlements are the cause and consequence of most environmental societal changes on Earth; however, their location extent is still under debate. We provide here a new 10 m resolution (0.32 arc sec) global map human Earth for year 2015, namely World Settlement Footprint 2015 (WSF2015). The raster dataset has been generated by means an advanced classification system which, first time, jointly exploits open-and-free optical radar satellite imagery. WSF2015 validated against 900,000 samples labelled crowdsourcing photointerpretation very high Google imagery outperforms all other similar existing layers; in particular, it considerably improves detection small rural regions better outlines scattered suburban areas. can be used at any scale observation support to applications requiring detailed accurate information presence (e.g., socioeconomic development, population distribution, risks assessment, etc.).

Language: Английский

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Global urban expansion offsets climate-driven increases in terrestrial net primary productivity

Nature Communications, Journal Year: 2019, Volume and Issue: 10(1)

Published: Dec. 5, 2019

Abstract The global urbanization rate is accelerating; however, data limitations have far prevented robust estimations of either urban expansion or its effects on terrestrial net primary productivity (NPP). Here, using a high resolution dataset land use/cover (GlobeLand30), we show that areas expanded by an average 5694 km 2 per year between 2000 and 2010. rapid in the past decade has turn reduced NPP, with loss 22.4 Tg Carbon (Tg C −1 ). Although small compared to total NPP fossil fuel carbon emissions worldwide, urbanization-induced decrease offset 30% climate-driven increase (73.6 ) over same period. Our findings highlight urgent need for strategies address expansion, enhance natural sinks, agricultural productivity.

Language: Английский

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