Daily Landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA, using multi-satellite data fusion

Yang, Yun; Anderson, Martha C.; Gao, Feng; Hain, Christopher R.; Semmens, Kathryn A.; Kustas, William P.; Noormets, Asko; Wynne, Randolph H.; Thomas, Valerie A.; Sun, Ge

doi:10.5194/hess-21-1017-2017

Articles | Volume 21, issue 2

https://doi.org/10.5194/hess-21-1017-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Modeling hydrological processes and changes

https://doi.org/10.5194/hess-21-1017-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 2

Research article

|

17 Feb 2017

Research article |

| 17 Feb 2017

Daily Landsat-scale evapotranspiration estimation over a forested landscape in North Carolina, USA, using multi-satellite data fusion

Yun Yang, Martha C. Anderson, Feng Gao, Christopher R. Hain, Kathryn A. Semmens, William P. Kustas, Asko Noormets, Randolph H. Wynne, Valerie A. Thomas, and Ge Sun

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Nov 2016	12	4	11	27
Dec 2016	1	3	0	4
Jan 2017	7	5	0	12
Feb 2017	154	49	3	206
Mar 2017	139	39	8	186
Apr 2017	56	43	3	102
May 2017	48	34	0	82
Jun 2017	42	30	1	73
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Jan 2018	12	9	0	21
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Mar 2018	18	23	0	41
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May 2018	13	12	0	25
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Jan 2020	12	13	3	28
Feb 2020	9	4	0	13
Mar 2020	11	10	0	21
Apr 2020	15	8	0	23
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Jun 2020	24	19	1	44
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Aug 2020	12	13	3	28
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Oct 2020	11	12	0	23
Nov 2020	23	18	1	42
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Jan 2021	33	20	1	54
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Apr 2021	19	19	0	38
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Jul 2022	10	9	0	19
Aug 2022	24	6	0	30
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Oct 2022	14	12	0	26
Nov 2022	15	8	1	24
Dec 2022	17	14	1	32
Jan 2023	28	26	2	56
Feb 2023	32	13	3	48
Mar 2023	59	25	2	86
Apr 2023	37	27	1	65
May 2023	18	17	0	35
Jun 2023	9	11	3	23
Jul 2023	19	11	4	34
Aug 2023	14	10	1	25
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Oct 2023	26	23	1	50
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Dec 2023	11	13	2	26
Jan 2024	60	13	1	74
Feb 2024	90	23	0	113
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Apr 2024	24	16	5	45
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Oct 2024	20	27	0	47
Nov 2024	21	24	1	46
Dec 2024	22	16	2	40
Jan 2025	27	14	2	43
Feb 2025	35	16	1	52
Mar 2025	25	16	1	42
Apr 2025	32	18	1	51
May 2025	29	15	1	45
Jun 2025	35	20	0	55
Jul 2025	29	18	4	51
Aug 2025	32	30	5	67
Sep 2025	96	20	0	116
Oct 2025	41	39	3	83
Nov 2025	37	37	4	78

Cumulative views and downloads (calculated since 01 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	114	54	1	169
Jul 2016	15	7	0	22
Aug 2016	13	7	0	20
Sep 2016	11	3	1	15
Oct 2016	10	6	9	25
Nov 2016	12	4	11	27
Dec 2016	1	3	0	4
Jan 2017	7	5	0	12
Feb 2017	154	49	3	206
Mar 2017	139	39	8	186
Apr 2017	56	43	3	102
May 2017	48	34	0	82
Jun 2017	42	30	1	73
Jul 2017	30	24	0	54
Aug 2017	19	18	0	37
Sep 2017	34	30	0	64
Oct 2017	17	27	0	44
Nov 2017	11	28	0	39
Dec 2017	20	41	0	61
Jan 2018	12	9	0	21
Feb 2018	27	19	0	46
Mar 2018	18	23	0	41
Apr 2018	15	15	0	30
May 2018	13	12	0	25
Jun 2018	14	18	1	33
Jul 2018	4	7	0	11
Aug 2018	19	12	2	33
Sep 2018	12	11	0	23
Oct 2018	21	17	0	38
Nov 2018	13	9	1	23
Dec 2018	10	9	0	19
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Feb 2019	10	3	1	14
Mar 2019	10	14	0	24
Apr 2019	10	16	1	27
May 2019	9	8	0	17
Jun 2019	15	9	1	25
Jul 2019	13	12	1	26
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Nov 2019	20	5	0	25
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Jul 2020	24	18	7	49
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Nov 2020	23	18	1	42
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Oct 2022	14	12	0	26
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Dec 2022	17	14	1	32
Jan 2023	28	26	2	56
Feb 2023	32	13	3	48
Mar 2023	59	25	2	86
Apr 2023	37	27	1	65
May 2023	18	17	0	35
Jun 2023	9	11	3	23
Jul 2023	19	11	4	34
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Oct 2023	26	23	1	50
Nov 2023	4	5	0	9
Dec 2023	11	13	2	26
Jan 2024	60	13	1	74
Feb 2024	90	23	0	113
Mar 2024	28	20	2	50
Apr 2024	24	16	5	45
May 2024	34	30	5	69
Jun 2024	23	13	1	37
Jul 2024	25	7	6	38
Aug 2024	37	23	1	61
Sep 2024	22	27	0	49
Oct 2024	20	27	0	47
Nov 2024	21	24	1	46
Dec 2024	22	16	2	40
Jan 2025	27	14	2	43
Feb 2025	35	16	1	52
Mar 2025	25	16	1	42
Apr 2025	32	18	1	51
May 2025	29	15	1	45
Jun 2025	35	20	0	55
Jul 2025	29	18	4	51
Aug 2025	32	30	5	67
Sep 2025	96	20	0	116
Oct 2025	41	39	3	83
Nov 2025	37	37	4	78

Latest update: 30 Nov 2025

Short summary

This work explores the utility of a thermal remote sensing based MODIS/Landsat ET data fusion procedure over a mixed forested/agricultural landscape in North Carolina, USA. The daily ET retrieved at 30 m resolution agreed well with measured fluxes in a clear-cut and a mature pine stand. An accounting of consumptive water use by land cover classes is presented, as well as relative partitioning of ET between evaporation (E) and transpiration (T) components.