Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives

<p<The moderate spatial resolution and high temporal resolution of MODIS imagery make it an ideal resource for time series surface water monitoring and mapping. We used MODIS MOD09Q1 surface reflectance archive images to create an Inland Surface Water Dataset in China (ISWDC), which maps water...
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Autor*in:	S. Lu [verfasserIn] J. Ma [verfasserIn] X. Ma [verfasserIn] H. Tang [verfasserIn] H. Zhao [verfasserIn] M. Hasan Ali Baig [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Übergeordnetes Werk:	In: Earth System Science Data - Copernicus Publications, 2009, 11(2019), Seite 1099-1108
Übergeordnetes Werk:	volume:11 ; year:2019 ; pages:1099-1108

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.5194/essd-11-1099-2019

Katalog-ID:	DOAJ017642280

Internformat


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allfields	10.5194/essd-11-1099-2019 doi (DE-627)DOAJ017642280 (DE-599)DOAJ137bbf57d20b43878c277ff1e07cbe99 DE-627 ger DE-627 rakwb eng GE1-350 QE1-996.5 S. Lu verfasserin aut Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The moderate spatial resolution and high temporal resolution of MODIS imagery make it an ideal resource for time series surface water monitoring and mapping. We used MODIS MOD09Q1 surface reflectance archive images to create an Inland Surface Water Dataset in China (ISWDC), which maps water bodies larger than 0.0625 km<span class="inline-formula"<<sup<2</sup<</span< within the land mass of China for the period 2000–2016, with 8 d temporal and 250 m spatial resolution. We assessed the accuracy of the ISWDC by comparing it with the national land cover derived surface water data and global surface water (GSW) data. The results show that the ISWDC is closely correlated with the national reference data with coefficient of determination (<span class="inline-formula"<<i<R</i<<sup<2</sup<</span<) greater than 0.99 in 2000, 2005, and 2010, while the ISWDC possesses very good consistency, very similar change dynamics, and similar spatial patterns in different regions with the GSW dataset. The ISWDC dataset can be used for studies on the inter-annual and seasonal variation of the surface water systems. It can also be used as reference data for verification of the other surface water dataset and as an input parameter for regional and global hydro-climatic models. The ISWDC data are available at: <a href="https://doi.org/10.5281/zenodo.2616035"<https://doi.org/10.5281/zenodo.2616035</a<.</p< Environmental sciences Geology J. Ma verfasserin aut J. Ma verfasserin aut X. Ma verfasserin aut X. Ma verfasserin aut H. Tang verfasserin aut H. Tang verfasserin aut H. Zhao verfasserin aut M. Hasan Ali Baig verfasserin aut In Earth System Science Data Copernicus Publications, 2009 11(2019), Seite 1099-1108 (DE-627)590283227 (DE-600)2475469-9 18663516 nnns volume:11 year:2019 pages:1099-1108 https://doi.org/10.5194/essd-11-1099-2019 kostenfrei https://doaj.org/article/137bbf57d20b43878c277ff1e07cbe99 kostenfrei https://www.earth-syst-sci-data.net/11/1099/2019/essd-11-1099-2019.pdf kostenfrei https://doaj.org/toc/1866-3508 Journal toc kostenfrei https://doaj.org/toc/1866-3516 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2019 1099-1108
spelling	10.5194/essd-11-1099-2019 doi (DE-627)DOAJ017642280 (DE-599)DOAJ137bbf57d20b43878c277ff1e07cbe99 DE-627 ger DE-627 rakwb eng GE1-350 QE1-996.5 S. Lu verfasserin aut Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The moderate spatial resolution and high temporal resolution of MODIS imagery make it an ideal resource for time series surface water monitoring and mapping. We used MODIS MOD09Q1 surface reflectance archive images to create an Inland Surface Water Dataset in China (ISWDC), which maps water bodies larger than 0.0625 km<span class="inline-formula"<<sup<2</sup<</span< within the land mass of China for the period 2000–2016, with 8 d temporal and 250 m spatial resolution. We assessed the accuracy of the ISWDC by comparing it with the national land cover derived surface water data and global surface water (GSW) data. The results show that the ISWDC is closely correlated with the national reference data with coefficient of determination (<span class="inline-formula"<<i<R</i<<sup<2</sup<</span<) greater than 0.99 in 2000, 2005, and 2010, while the ISWDC possesses very good consistency, very similar change dynamics, and similar spatial patterns in different regions with the GSW dataset. The ISWDC dataset can be used for studies on the inter-annual and seasonal variation of the surface water systems. It can also be used as reference data for verification of the other surface water dataset and as an input parameter for regional and global hydro-climatic models. The ISWDC data are available at: <a href="https://doi.org/10.5281/zenodo.2616035"<https://doi.org/10.5281/zenodo.2616035</a<.</p< Environmental sciences Geology J. Ma verfasserin aut J. Ma verfasserin aut X. Ma verfasserin aut X. Ma verfasserin aut H. Tang verfasserin aut H. Tang verfasserin aut H. Zhao verfasserin aut M. Hasan Ali Baig verfasserin aut In Earth System Science Data Copernicus Publications, 2009 11(2019), Seite 1099-1108 (DE-627)590283227 (DE-600)2475469-9 18663516 nnns volume:11 year:2019 pages:1099-1108 https://doi.org/10.5194/essd-11-1099-2019 kostenfrei https://doaj.org/article/137bbf57d20b43878c277ff1e07cbe99 kostenfrei https://www.earth-syst-sci-data.net/11/1099/2019/essd-11-1099-2019.pdf kostenfrei https://doaj.org/toc/1866-3508 Journal toc kostenfrei https://doaj.org/toc/1866-3516 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2019 1099-1108
allfields_unstemmed	10.5194/essd-11-1099-2019 doi (DE-627)DOAJ017642280 (DE-599)DOAJ137bbf57d20b43878c277ff1e07cbe99 DE-627 ger DE-627 rakwb eng GE1-350 QE1-996.5 S. Lu verfasserin aut Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The moderate spatial resolution and high temporal resolution of MODIS imagery make it an ideal resource for time series surface water monitoring and mapping. We used MODIS MOD09Q1 surface reflectance archive images to create an Inland Surface Water Dataset in China (ISWDC), which maps water bodies larger than 0.0625 km<span class="inline-formula"<<sup<2</sup<</span< within the land mass of China for the period 2000–2016, with 8 d temporal and 250 m spatial resolution. We assessed the accuracy of the ISWDC by comparing it with the national land cover derived surface water data and global surface water (GSW) data. The results show that the ISWDC is closely correlated with the national reference data with coefficient of determination (<span class="inline-formula"<<i<R</i<<sup<2</sup<</span<) greater than 0.99 in 2000, 2005, and 2010, while the ISWDC possesses very good consistency, very similar change dynamics, and similar spatial patterns in different regions with the GSW dataset. The ISWDC dataset can be used for studies on the inter-annual and seasonal variation of the surface water systems. It can also be used as reference data for verification of the other surface water dataset and as an input parameter for regional and global hydro-climatic models. The ISWDC data are available at: <a href="https://doi.org/10.5281/zenodo.2616035"<https://doi.org/10.5281/zenodo.2616035</a<.</p< Environmental sciences Geology J. Ma verfasserin aut J. Ma verfasserin aut X. Ma verfasserin aut X. Ma verfasserin aut H. Tang verfasserin aut H. Tang verfasserin aut H. Zhao verfasserin aut M. Hasan Ali Baig verfasserin aut In Earth System Science Data Copernicus Publications, 2009 11(2019), Seite 1099-1108 (DE-627)590283227 (DE-600)2475469-9 18663516 nnns volume:11 year:2019 pages:1099-1108 https://doi.org/10.5194/essd-11-1099-2019 kostenfrei https://doaj.org/article/137bbf57d20b43878c277ff1e07cbe99 kostenfrei https://www.earth-syst-sci-data.net/11/1099/2019/essd-11-1099-2019.pdf kostenfrei https://doaj.org/toc/1866-3508 Journal toc kostenfrei https://doaj.org/toc/1866-3516 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2019 1099-1108
allfieldsGer	10.5194/essd-11-1099-2019 doi (DE-627)DOAJ017642280 (DE-599)DOAJ137bbf57d20b43878c277ff1e07cbe99 DE-627 ger DE-627 rakwb eng GE1-350 QE1-996.5 S. Lu verfasserin aut Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The moderate spatial resolution and high temporal resolution of MODIS imagery make it an ideal resource for time series surface water monitoring and mapping. We used MODIS MOD09Q1 surface reflectance archive images to create an Inland Surface Water Dataset in China (ISWDC), which maps water bodies larger than 0.0625 km<span class="inline-formula"<<sup<2</sup<</span< within the land mass of China for the period 2000–2016, with 8 d temporal and 250 m spatial resolution. We assessed the accuracy of the ISWDC by comparing it with the national land cover derived surface water data and global surface water (GSW) data. The results show that the ISWDC is closely correlated with the national reference data with coefficient of determination (<span class="inline-formula"<<i<R</i<<sup<2</sup<</span<) greater than 0.99 in 2000, 2005, and 2010, while the ISWDC possesses very good consistency, very similar change dynamics, and similar spatial patterns in different regions with the GSW dataset. The ISWDC dataset can be used for studies on the inter-annual and seasonal variation of the surface water systems. It can also be used as reference data for verification of the other surface water dataset and as an input parameter for regional and global hydro-climatic models. The ISWDC data are available at: <a href="https://doi.org/10.5281/zenodo.2616035"<https://doi.org/10.5281/zenodo.2616035</a<.</p< Environmental sciences Geology J. Ma verfasserin aut J. Ma verfasserin aut X. Ma verfasserin aut X. Ma verfasserin aut H. Tang verfasserin aut H. Tang verfasserin aut H. Zhao verfasserin aut M. Hasan Ali Baig verfasserin aut In Earth System Science Data Copernicus Publications, 2009 11(2019), Seite 1099-1108 (DE-627)590283227 (DE-600)2475469-9 18663516 nnns volume:11 year:2019 pages:1099-1108 https://doi.org/10.5194/essd-11-1099-2019 kostenfrei https://doaj.org/article/137bbf57d20b43878c277ff1e07cbe99 kostenfrei https://www.earth-syst-sci-data.net/11/1099/2019/essd-11-1099-2019.pdf kostenfrei https://doaj.org/toc/1866-3508 Journal toc kostenfrei https://doaj.org/toc/1866-3516 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2019 1099-1108
allfieldsSound	10.5194/essd-11-1099-2019 doi (DE-627)DOAJ017642280 (DE-599)DOAJ137bbf57d20b43878c277ff1e07cbe99 DE-627 ger DE-627 rakwb eng GE1-350 QE1-996.5 S. Lu verfasserin aut Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The moderate spatial resolution and high temporal resolution of MODIS imagery make it an ideal resource for time series surface water monitoring and mapping. We used MODIS MOD09Q1 surface reflectance archive images to create an Inland Surface Water Dataset in China (ISWDC), which maps water bodies larger than 0.0625 km<span class="inline-formula"<<sup<2</sup<</span< within the land mass of China for the period 2000–2016, with 8 d temporal and 250 m spatial resolution. We assessed the accuracy of the ISWDC by comparing it with the national land cover derived surface water data and global surface water (GSW) data. The results show that the ISWDC is closely correlated with the national reference data with coefficient of determination (<span class="inline-formula"<<i<R</i<<sup<2</sup<</span<) greater than 0.99 in 2000, 2005, and 2010, while the ISWDC possesses very good consistency, very similar change dynamics, and similar spatial patterns in different regions with the GSW dataset. The ISWDC dataset can be used for studies on the inter-annual and seasonal variation of the surface water systems. It can also be used as reference data for verification of the other surface water dataset and as an input parameter for regional and global hydro-climatic models. The ISWDC data are available at: <a href="https://doi.org/10.5281/zenodo.2616035"<https://doi.org/10.5281/zenodo.2616035</a<.</p< Environmental sciences Geology J. Ma verfasserin aut J. Ma verfasserin aut X. Ma verfasserin aut X. Ma verfasserin aut H. Tang verfasserin aut H. Tang verfasserin aut H. Zhao verfasserin aut M. Hasan Ali Baig verfasserin aut In Earth System Science Data Copernicus Publications, 2009 11(2019), Seite 1099-1108 (DE-627)590283227 (DE-600)2475469-9 18663516 nnns volume:11 year:2019 pages:1099-1108 https://doi.org/10.5194/essd-11-1099-2019 kostenfrei https://doaj.org/article/137bbf57d20b43878c277ff1e07cbe99 kostenfrei https://www.earth-syst-sci-data.net/11/1099/2019/essd-11-1099-2019.pdf kostenfrei https://doaj.org/toc/1866-3508 Journal toc kostenfrei https://doaj.org/toc/1866-3516 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2019 1099-1108
language	English
source	In Earth System Science Data 11(2019), Seite 1099-1108 volume:11 year:2019 pages:1099-1108
sourceStr	In Earth System Science Data 11(2019), Seite 1099-1108 volume:11 year:2019 pages:1099-1108
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Environmental sciences Geology
isfreeaccess_bool	true
container_title	Earth System Science Data
authorswithroles_txt_mv	S. Lu @@aut@@ J. Ma @@aut@@ X. Ma @@aut@@ H. Tang @@aut@@ H. Zhao @@aut@@ M. Hasan Ali Baig @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	590283227
id	DOAJ017642280
language_de	englisch
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callnumber-first	G - Geography, Anthropology, Recreation
author	S. Lu
spellingShingle	S. Lu misc GE1-350 misc QE1-996.5 misc Environmental sciences misc Geology Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives
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topic_title	GE1-350 QE1-996.5 Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives
topic	misc GE1-350 misc QE1-996.5 misc Environmental sciences misc Geology
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title	Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives
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title_full	Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives
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author_browse	S. Lu J. Ma X. Ma H. Tang H. Zhao M. Hasan Ali Baig
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doi_str_mv	10.5194/essd-11-1099-2019
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title_sort	time series of the inland surface water dataset in china (iswdc) for 2000–2016 derived from modis archives
callnumber	GE1-350
title_auth	Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives
abstract	<p<The moderate spatial resolution and high temporal resolution of MODIS imagery make it an ideal resource for time series surface water monitoring and mapping. We used MODIS MOD09Q1 surface reflectance archive images to create an Inland Surface Water Dataset in China (ISWDC), which maps water bodies larger than 0.0625 km<span class="inline-formula"<<sup<2</sup<</span< within the land mass of China for the period 2000–2016, with 8 d temporal and 250 m spatial resolution. We assessed the accuracy of the ISWDC by comparing it with the national land cover derived surface water data and global surface water (GSW) data. The results show that the ISWDC is closely correlated with the national reference data with coefficient of determination (<span class="inline-formula"<<i<R</i<<sup<2</sup<</span<) greater than 0.99 in 2000, 2005, and 2010, while the ISWDC possesses very good consistency, very similar change dynamics, and similar spatial patterns in different regions with the GSW dataset. The ISWDC dataset can be used for studies on the inter-annual and seasonal variation of the surface water systems. It can also be used as reference data for verification of the other surface water dataset and as an input parameter for regional and global hydro-climatic models. The ISWDC data are available at: <a href="https://doi.org/10.5281/zenodo.2616035"<https://doi.org/10.5281/zenodo.2616035</a<.</p<
abstractGer	<p<The moderate spatial resolution and high temporal resolution of MODIS imagery make it an ideal resource for time series surface water monitoring and mapping. We used MODIS MOD09Q1 surface reflectance archive images to create an Inland Surface Water Dataset in China (ISWDC), which maps water bodies larger than 0.0625 km<span class="inline-formula"<<sup<2</sup<</span< within the land mass of China for the period 2000–2016, with 8 d temporal and 250 m spatial resolution. We assessed the accuracy of the ISWDC by comparing it with the national land cover derived surface water data and global surface water (GSW) data. The results show that the ISWDC is closely correlated with the national reference data with coefficient of determination (<span class="inline-formula"<<i<R</i<<sup<2</sup<</span<) greater than 0.99 in 2000, 2005, and 2010, while the ISWDC possesses very good consistency, very similar change dynamics, and similar spatial patterns in different regions with the GSW dataset. The ISWDC dataset can be used for studies on the inter-annual and seasonal variation of the surface water systems. It can also be used as reference data for verification of the other surface water dataset and as an input parameter for regional and global hydro-climatic models. The ISWDC data are available at: <a href="https://doi.org/10.5281/zenodo.2616035"<https://doi.org/10.5281/zenodo.2616035</a<.</p<
abstract_unstemmed	<p<The moderate spatial resolution and high temporal resolution of MODIS imagery make it an ideal resource for time series surface water monitoring and mapping. We used MODIS MOD09Q1 surface reflectance archive images to create an Inland Surface Water Dataset in China (ISWDC), which maps water bodies larger than 0.0625 km<span class="inline-formula"<<sup<2</sup<</span< within the land mass of China for the period 2000–2016, with 8 d temporal and 250 m spatial resolution. We assessed the accuracy of the ISWDC by comparing it with the national land cover derived surface water data and global surface water (GSW) data. The results show that the ISWDC is closely correlated with the national reference data with coefficient of determination (<span class="inline-formula"<<i<R</i<<sup<2</sup<</span<) greater than 0.99 in 2000, 2005, and 2010, while the ISWDC possesses very good consistency, very similar change dynamics, and similar spatial patterns in different regions with the GSW dataset. The ISWDC dataset can be used for studies on the inter-annual and seasonal variation of the surface water systems. It can also be used as reference data for verification of the other surface water dataset and as an input parameter for regional and global hydro-climatic models. The ISWDC data are available at: <a href="https://doi.org/10.5281/zenodo.2616035"<https://doi.org/10.5281/zenodo.2616035</a<.</p<
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title_short	Time series of the Inland Surface Water Dataset in China (ISWDC) for 2000–2016 derived from MODIS archives
url	https://doi.org/10.5194/essd-11-1099-2019 https://doaj.org/article/137bbf57d20b43878c277ff1e07cbe99 https://www.earth-syst-sci-data.net/11/1099/2019/essd-11-1099-2019.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516
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