High-resolution mapping of global surface water and its long-term changes
A freely available dataset produced from three million Landsat satellite images reveals substantial changes in the distribution of global surface water over the past 32 years and their causes, from climate change to human actions. A moving picture of Earth's surface waters The distribution of s...
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description | A freely available dataset produced from three million Landsat satellite images reveals substantial changes in the distribution of global surface water over the past 32 years and their causes, from climate change to human actions.
A moving picture of Earth's surface waters
The distribution of surface water has been mapped globally, and local-to-regional studies have tracked changes over time. But to date, there has been no global and methodologically consistent quantification of changes in surface water over time. Jean-François Pekel and colleagues have analysed more than three million Landsat images to quantify month-to-month changes in surface water at a resolution of 30 metres and over a 32-year period. They find that surface waters have declined by almost 90,000 square kilometres—largely in the Middle East and Central Asia—but that surface waters equivalent to about twice that area have been created elsewhere. Drought, reservoir creation and water extraction appear to have driven most of the changes in surface water over the past decades.
The location and persistence of surface water (inland and coastal) is both affected by climate and human activity
1
and affects climate
2
,
3
, biological diversity
4
and human wellbeing
5
,
6
. Global data sets documenting surface water location and seasonality have been produced from inventories and national descriptions
7
, statistical extrapolation of regional data
8
and satellite imagery
9
,
10
,
11
,
12
, but measuring long-term changes at high resolution remains a challenge. Here, using three million Landsat satellite images
13
, we quantify changes in global surface water over the past 32 years at 30-metre resolution. We record the months and years when water was present, where occurrence changed and what form changes took in terms of seasonality and persistence. Between 1984 and 2015 permanent surface water has disappeared from an area of almost 90,000 square kilometres, roughly equivalent to that of Lake Superior, though new permanent bodies of surface water covering 184,000 square kilometres have formed elsewhere. All continental regions show a net increase in permanent water, except Oceania, which has a fractional (one per cent) net loss. Much of the increase is from reservoir filling, although climate change
14
is also implicated. Loss is more geographically concentrated than gain. Over 70 per cent of global net permanent water loss occurred in the Middle East and Central Asia, linked to drought and human |
doi_str_mv | 10.1038/nature20584 |
format | Article |
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A moving picture of Earth's surface waters
The distribution of surface water has been mapped globally, and local-to-regional studies have tracked changes over time. But to date, there has been no global and methodologically consistent quantification of changes in surface water over time. Jean-François Pekel and colleagues have analysed more than three million Landsat images to quantify month-to-month changes in surface water at a resolution of 30 metres and over a 32-year period. They find that surface waters have declined by almost 90,000 square kilometres—largely in the Middle East and Central Asia—but that surface waters equivalent to about twice that area have been created elsewhere. Drought, reservoir creation and water extraction appear to have driven most of the changes in surface water over the past decades.
The location and persistence of surface water (inland and coastal) is both affected by climate and human activity
1
and affects climate
2
,
3
, biological diversity
4
and human wellbeing
5
,
6
. Global data sets documenting surface water location and seasonality have been produced from inventories and national descriptions
7
, statistical extrapolation of regional data
8
and satellite imagery
9
,
10
,
11
,
12
, but measuring long-term changes at high resolution remains a challenge. Here, using three million Landsat satellite images
13
, we quantify changes in global surface water over the past 32 years at 30-metre resolution. We record the months and years when water was present, where occurrence changed and what form changes took in terms of seasonality and persistence. Between 1984 and 2015 permanent surface water has disappeared from an area of almost 90,000 square kilometres, roughly equivalent to that of Lake Superior, though new permanent bodies of surface water covering 184,000 square kilometres have formed elsewhere. All continental regions show a net increase in permanent water, except Oceania, which has a fractional (one per cent) net loss. Much of the increase is from reservoir filling, although climate change
14
is also implicated. Loss is more geographically concentrated than gain. Over 70 per cent of global net permanent water loss occurred in the Middle East and Central Asia, linked to drought and human actions including river diversion or damming and unregulated withdrawal
15
,
16
. Losses in Australia
17
and the USA
18
linked to long-term droughts are also evident. This globally consistent, validated data set shows that impacts of climate change and climate oscillations on surface water occurrence can be measured and that evidence can be gathered to show how surface water is altered by human activities. We anticipate that this freely available data will improve the modelling of surface forcing, provide evidence of state and change in wetland ecotones (the transition areas between biomes), and inform water-management decision-making.</description><identifier>ISSN: 0028-0836</identifier><identifier>EISSN: 1476-4687</identifier><identifier>DOI: 10.1038/nature20584</identifier><identifier>PMID: 27926733</identifier><identifier>CODEN: NATUAS</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>704/106/694/1108 ; 704/106/694/2739 ; 704/158/670 ; 704/242 ; 704/4111 ; Asia ; Australia ; Climate Change ; Decision Making ; Drought ; Droughts ; Ecotones ; Environmental conditions ; Environmental impact ; General circulation models ; Geographic Mapping ; History, 20th Century ; History, 21st Century ; Human Activities ; Humanities and Social Sciences ; Landsat ; Landsat satellites ; letter ; Methods ; Middle East ; multidisciplinary ; Properties ; Remote sensing ; Rivers ; Satellite Imagery ; Science ; Seasonal variations ; Spatio-Temporal Analysis ; Surface water ; United States ; Water - analysis ; Water loss ; Water Supply - statistics & numerical data ; Wetlands</subject><ispartof>Nature (London), 2016-12, Vol.540 (7633), p.418-422</ispartof><rights>Macmillan Publishers Limited, part of Springer Nature. All rights reserved. 2016</rights><rights>COPYRIGHT 2016 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Dec 15, 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c622t-671206320229e55bfcc3093ddf692eb03e5ec65122355efb6ce490408a7faf2a3</citedby><cites>FETCH-LOGICAL-c622t-671206320229e55bfcc3093ddf692eb03e5ec65122355efb6ce490408a7faf2a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nature20584$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nature20584$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27926733$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pekel, Jean-François</creatorcontrib><creatorcontrib>Cottam, Andrew</creatorcontrib><creatorcontrib>Gorelick, Noel</creatorcontrib><creatorcontrib>Belward, Alan S.</creatorcontrib><title>High-resolution mapping of global surface water and its long-term changes</title><title>Nature (London)</title><addtitle>Nature</addtitle><addtitle>Nature</addtitle><description>A freely available dataset produced from three million Landsat satellite images reveals substantial changes in the distribution of global surface water over the past 32 years and their causes, from climate change to human actions.
A moving picture of Earth's surface waters
The distribution of surface water has been mapped globally, and local-to-regional studies have tracked changes over time. But to date, there has been no global and methodologically consistent quantification of changes in surface water over time. Jean-François Pekel and colleagues have analysed more than three million Landsat images to quantify month-to-month changes in surface water at a resolution of 30 metres and over a 32-year period. They find that surface waters have declined by almost 90,000 square kilometres—largely in the Middle East and Central Asia—but that surface waters equivalent to about twice that area have been created elsewhere. Drought, reservoir creation and water extraction appear to have driven most of the changes in surface water over the past decades.
The location and persistence of surface water (inland and coastal) is both affected by climate and human activity
1
and affects climate
2
,
3
, biological diversity
4
and human wellbeing
5
,
6
. Global data sets documenting surface water location and seasonality have been produced from inventories and national descriptions
7
, statistical extrapolation of regional data
8
and satellite imagery
9
,
10
,
11
,
12
, but measuring long-term changes at high resolution remains a challenge. Here, using three million Landsat satellite images
13
, we quantify changes in global surface water over the past 32 years at 30-metre resolution. We record the months and years when water was present, where occurrence changed and what form changes took in terms of seasonality and persistence. Between 1984 and 2015 permanent surface water has disappeared from an area of almost 90,000 square kilometres, roughly equivalent to that of Lake Superior, though new permanent bodies of surface water covering 184,000 square kilometres have formed elsewhere. All continental regions show a net increase in permanent water, except Oceania, which has a fractional (one per cent) net loss. Much of the increase is from reservoir filling, although climate change
14
is also implicated. Loss is more geographically concentrated than gain. Over 70 per cent of global net permanent water loss occurred in the Middle East and Central Asia, linked to drought and human actions including river diversion or damming and unregulated withdrawal
15
,
16
. Losses in Australia
17
and the USA
18
linked to long-term droughts are also evident. This globally consistent, validated data set shows that impacts of climate change and climate oscillations on surface water occurrence can be measured and that evidence can be gathered to show how surface water is altered by human activities. We anticipate that this freely available data will improve the modelling of surface forcing, provide evidence of state and change in wetland ecotones (the transition areas between biomes), and inform water-management decision-making.</description><subject>704/106/694/1108</subject><subject>704/106/694/2739</subject><subject>704/158/670</subject><subject>704/242</subject><subject>704/4111</subject><subject>Asia</subject><subject>Australia</subject><subject>Climate Change</subject><subject>Decision Making</subject><subject>Drought</subject><subject>Droughts</subject><subject>Ecotones</subject><subject>Environmental conditions</subject><subject>Environmental impact</subject><subject>General circulation models</subject><subject>Geographic Mapping</subject><subject>History, 20th Century</subject><subject>History, 21st Century</subject><subject>Human Activities</subject><subject>Humanities and Social Sciences</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>letter</subject><subject>Methods</subject><subject>Middle East</subject><subject>multidisciplinary</subject><subject>Properties</subject><subject>Remote sensing</subject><subject>Rivers</subject><subject>Satellite Imagery</subject><subject>Science</subject><subject>Seasonal variations</subject><subject>Spatio-Temporal Analysis</subject><subject>Surface water</subject><subject>United States</subject><subject>Water - analysis</subject><subject>Water loss</subject><subject>Water Supply - statistics & numerical data</subject><subject>Wetlands</subject><issn>0028-0836</issn><issn>1476-4687</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp10s1rFDEYBvAgit1WT95l0IuiU_M9M8dlUbtQFLTiMWSyb6YpM8k0mUH735vSqrsykkMg-eUhvDwIPSP4lGBWv_N6miNQLGr-AK0Ir2TJZV09RCuMaV3imskjdJzSFcZYkIo_Rke0aqisGFuh7ZnrLssIKfTz5IIvBj2OzndFsEXXh1b3RZqj1QaKH3qCWGi_K9yUij74rswHQ2Eute8gPUGPrO4TPL3fT9C3D-8vNmfl-eeP2836vDSS0qmUFaFYMoopbUCI1hrDcMN2OysbCi1mIMBIQShlQoBtpQHeYI5rXVltqWYn6NVd7hjD9QxpUoNLBvpeewhzUqTmVV0TgXGmL_-hV2GOPv8uK4GZIA1nf1Wne1DO2zBFbW5D1ZpXrOF5tCKrckF14CHqPAuwLh8f-BcL3ozuWu2j0wWU1w4GZxZTXx88yGaCn1On55TU9uuXQ_vm_3Z98X3zaVGbGFKKYNUY3aDjjSJY3fZM7fUs6-f3k53bAXZ_7O9iZfD2DqR8lesR90a_kPcLUNTXXQ</recordid><startdate>20161215</startdate><enddate>20161215</enddate><creator>Pekel, Jean-François</creator><creator>Cottam, Andrew</creator><creator>Gorelick, Noel</creator><creator>Belward, Alan S.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ATWCN</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T5</scope><scope>7TG</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>RC3</scope><scope>S0X</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20161215</creationdate><title>High-resolution mapping of global surface water and its long-term changes</title><author>Pekel, Jean-François ; Cottam, Andrew ; Gorelick, Noel ; Belward, Alan S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c622t-671206320229e55bfcc3093ddf692eb03e5ec65122355efb6ce490408a7faf2a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>704/106/694/1108</topic><topic>704/106/694/2739</topic><topic>704/158/670</topic><topic>704/242</topic><topic>704/4111</topic><topic>Asia</topic><topic>Australia</topic><topic>Climate Change</topic><topic>Decision Making</topic><topic>Drought</topic><topic>Droughts</topic><topic>Ecotones</topic><topic>Environmental conditions</topic><topic>Environmental impact</topic><topic>General circulation models</topic><topic>Geographic Mapping</topic><topic>History, 20th Century</topic><topic>History, 21st Century</topic><topic>Human Activities</topic><topic>Humanities and Social Sciences</topic><topic>Landsat</topic><topic>Landsat satellites</topic><topic>letter</topic><topic>Methods</topic><topic>Middle East</topic><topic>multidisciplinary</topic><topic>Properties</topic><topic>Remote sensing</topic><topic>Rivers</topic><topic>Satellite Imagery</topic><topic>Science</topic><topic>Seasonal variations</topic><topic>Spatio-Temporal Analysis</topic><topic>Surface water</topic><topic>United States</topic><topic>Water - analysis</topic><topic>Water loss</topic><topic>Water Supply - statistics & numerical data</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pekel, Jean-François</creatorcontrib><creatorcontrib>Cottam, Andrew</creatorcontrib><creatorcontrib>Gorelick, Noel</creatorcontrib><creatorcontrib>Belward, Alan S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Middle School</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><jtitle>Nature (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pekel, Jean-François</au><au>Cottam, Andrew</au><au>Gorelick, Noel</au><au>Belward, Alan S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-resolution mapping of global surface water and its long-term changes</atitle><jtitle>Nature (London)</jtitle><stitle>Nature</stitle><addtitle>Nature</addtitle><date>2016-12-15</date><risdate>2016</risdate><volume>540</volume><issue>7633</issue><spage>418</spage><epage>422</epage><pages>418-422</pages><issn>0028-0836</issn><eissn>1476-4687</eissn><coden>NATUAS</coden><abstract>A freely available dataset produced from three million Landsat satellite images reveals substantial changes in the distribution of global surface water over the past 32 years and their causes, from climate change to human actions.
A moving picture of Earth's surface waters
The distribution of surface water has been mapped globally, and local-to-regional studies have tracked changes over time. But to date, there has been no global and methodologically consistent quantification of changes in surface water over time. Jean-François Pekel and colleagues have analysed more than three million Landsat images to quantify month-to-month changes in surface water at a resolution of 30 metres and over a 32-year period. They find that surface waters have declined by almost 90,000 square kilometres—largely in the Middle East and Central Asia—but that surface waters equivalent to about twice that area have been created elsewhere. Drought, reservoir creation and water extraction appear to have driven most of the changes in surface water over the past decades.
The location and persistence of surface water (inland and coastal) is both affected by climate and human activity
1
and affects climate
2
,
3
, biological diversity
4
and human wellbeing
5
,
6
. Global data sets documenting surface water location and seasonality have been produced from inventories and national descriptions
7
, statistical extrapolation of regional data
8
and satellite imagery
9
,
10
,
11
,
12
, but measuring long-term changes at high resolution remains a challenge. Here, using three million Landsat satellite images
13
, we quantify changes in global surface water over the past 32 years at 30-metre resolution. We record the months and years when water was present, where occurrence changed and what form changes took in terms of seasonality and persistence. Between 1984 and 2015 permanent surface water has disappeared from an area of almost 90,000 square kilometres, roughly equivalent to that of Lake Superior, though new permanent bodies of surface water covering 184,000 square kilometres have formed elsewhere. All continental regions show a net increase in permanent water, except Oceania, which has a fractional (one per cent) net loss. Much of the increase is from reservoir filling, although climate change
14
is also implicated. Loss is more geographically concentrated than gain. Over 70 per cent of global net permanent water loss occurred in the Middle East and Central Asia, linked to drought and human actions including river diversion or damming and unregulated withdrawal
15
,
16
. Losses in Australia
17
and the USA
18
linked to long-term droughts are also evident. This globally consistent, validated data set shows that impacts of climate change and climate oscillations on surface water occurrence can be measured and that evidence can be gathered to show how surface water is altered by human activities. We anticipate that this freely available data will improve the modelling of surface forcing, provide evidence of state and change in wetland ecotones (the transition areas between biomes), and inform water-management decision-making.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>27926733</pmid><doi>10.1038/nature20584</doi><tpages>5</tpages></addata></record> |
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issn | 0028-0836 1476-4687 |
language | eng |
recordid | cdi_proquest_miscellaneous_1847881500 |
source | MEDLINE; Nature Journals Online; SpringerLink Journals - AutoHoldings |
subjects | 704/106/694/1108 704/106/694/2739 704/158/670 704/242 704/4111 Asia Australia Climate Change Decision Making Drought Droughts Ecotones Environmental conditions Environmental impact General circulation models Geographic Mapping History, 20th Century History, 21st Century Human Activities Humanities and Social Sciences Landsat Landsat satellites letter Methods Middle East multidisciplinary Properties Remote sensing Rivers Satellite Imagery Science Seasonal variations Spatio-Temporal Analysis Surface water United States Water - analysis Water loss Water Supply - statistics & numerical data Wetlands |
title | High-resolution mapping of global surface water and its long-term changes |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T18%3A50%3A47IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=High-resolution%20mapping%20of%20global%20surface%20water%20and%20its%20long-term%20changes&rft.jtitle=Nature%20(London)&rft.au=Pekel,%20Jean-Fran%C3%A7ois&rft.date=2016-12-15&rft.volume=540&rft.issue=7633&rft.spage=418&rft.epage=422&rft.pages=418-422&rft.issn=0028-0836&rft.eissn=1476-4687&rft.coden=NATUAS&rft_id=info:doi/10.1038/nature20584&rft_dat=%3Cgale_proqu%3EA473942055%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1850351943&rft_id=info:pmid/27926733&rft_galeid=A473942055&rfr_iscdi=true |