Water productivity mapping using Landsat 8 satellite together with weather stations
Main Author: | |
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Publication Date: | 2016 |
Other Authors: | , , , , , , |
Format: | Conference object |
Language: | eng |
Source: | Repositório Institucional da UNESP |
Download full: | http://dx.doi.org/10.1117/12.2242003 http://hdl.handle.net/11449/159348 |
Summary: | The use of remote sensing satellite in conjunction with models and meteorological data enable the mapping of biophysical properties of agroecosystems with satisfactory accuracy. The main goal of this research was to determine the spatial-temporal agro-ecological indicators of water productivity in watersheds with different types of land use and occupation, using Landsat 8 images, agro-meteorological stations and application of Monteith and SAFER (Simple Algorithm for Retrieving Evapotranspiration) models to estimate the production biomass (BIO) and the actual evapotranspiration (ET), respectively. Incident global solar radiation (RS down arrow) is observed seasonality of radiation during the year. Higher RS down arrow levels happen during the first and the last four months, when the Sun is around its zenith positions in the study region. During the natural dry period in the region, the RS down arrow is lower because winter solstice time for the Southern Hemisphere, this condition it is veri fied the reducing in the values of ET and BIO. Average values of biophysical properties for the study period were 0.54, 0.16 and 301 K for Normalized Difference Vegetation Index, albedo and surface temperature, respectively. The highest value of BIO was 105 kg ha(-1) d(-1) and occurred in July 2013. The lowest value was 15.9 kg ha(-1) d(-1) and occurred in October 2014. ET showed a value of 1.65 mm d(-1) in the rainy period and 0.64 during the dry period in the study area. The highest average ET occurred in the irrigated area (June 2014), with a value of 1.89 mm d(-1) and a maximum of 2.46 mm d(-1). WP average for the evaluated period was 3.06 Kg m(-3), with the largest value of 4.91 Kg m(-3) in June 2013 and a minimum value of 2.45 Kg m(-3) in September 2013. |
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Water productivity mapping using Landsat 8 satellite together with weather stationswater productivityproduction biomassevapotranspirationSAFERThe use of remote sensing satellite in conjunction with models and meteorological data enable the mapping of biophysical properties of agroecosystems with satisfactory accuracy. The main goal of this research was to determine the spatial-temporal agro-ecological indicators of water productivity in watersheds with different types of land use and occupation, using Landsat 8 images, agro-meteorological stations and application of Monteith and SAFER (Simple Algorithm for Retrieving Evapotranspiration) models to estimate the production biomass (BIO) and the actual evapotranspiration (ET), respectively. Incident global solar radiation (RS down arrow) is observed seasonality of radiation during the year. Higher RS down arrow levels happen during the first and the last four months, when the Sun is around its zenith positions in the study region. During the natural dry period in the region, the RS down arrow is lower because winter solstice time for the Southern Hemisphere, this condition it is veri fied the reducing in the values of ET and BIO. Average values of biophysical properties for the study period were 0.54, 0.16 and 301 K for Normalized Difference Vegetation Index, albedo and surface temperature, respectively. The highest value of BIO was 105 kg ha(-1) d(-1) and occurred in July 2013. The lowest value was 15.9 kg ha(-1) d(-1) and occurred in October 2014. ET showed a value of 1.65 mm d(-1) in the rainy period and 0.64 during the dry period in the study area. The highest average ET occurred in the irrigated area (June 2014), with a value of 1.89 mm d(-1) and a maximum of 2.46 mm d(-1). WP average for the evaluated period was 3.06 Kg m(-3), with the largest value of 4.91 Kg m(-3) in June 2013 and a minimum value of 2.45 Kg m(-3) in September 2013.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Sao Paulo State Univ, Ilha Solteira, BrazilEmbrapa Satellite Monitoring, Campinas, SP, BrazilUniv Nebraska, Water Food Global Inst, Lincoln, NE USASao Paulo State Univ, Ilha Solteira, BrazilSpie-int Soc Optical EngineeringUniversidade Estadual Paulista (Unesp)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Univ NebraskaFranco, Renato A. M. [UNESP]Hernandez, Fernando B. T. [UNESP]Teixeira, Antonio H. de C.Leivas, Janice FreitasCoaguila, Daniel Noe [UNESP]Neale, Christopher M.Neale, CMUMaltese, A.2018-11-26T15:38:05Z2018-11-26T15:38:05Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject12application/pdfhttp://dx.doi.org/10.1117/12.2242003Remote Sensing For Agriculture, Ecosystems, And Hydrology Xviii. Bellingham: Spie-int Soc Optical Engineering, v. 9998, 12 p., 2016.0277-786Xhttp://hdl.handle.net/11449/15934810.1117/12.2242003WOS:000393152800044WOS000393152800044.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing For Agriculture, Ecosystems, And Hydrology Xviiiinfo:eu-repo/semantics/openAccess2024-01-13T06:32:04Zoai:repositorio.unesp.br:11449/159348Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-01-13T06:32:04Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Water productivity mapping using Landsat 8 satellite together with weather stations |
title |
Water productivity mapping using Landsat 8 satellite together with weather stations |
spellingShingle |
Water productivity mapping using Landsat 8 satellite together with weather stations Franco, Renato A. M. [UNESP] water productivity production biomass evapotranspiration SAFER |
title_short |
Water productivity mapping using Landsat 8 satellite together with weather stations |
title_full |
Water productivity mapping using Landsat 8 satellite together with weather stations |
title_fullStr |
Water productivity mapping using Landsat 8 satellite together with weather stations |
title_full_unstemmed |
Water productivity mapping using Landsat 8 satellite together with weather stations |
title_sort |
Water productivity mapping using Landsat 8 satellite together with weather stations |
author |
Franco, Renato A. M. [UNESP] |
author_facet |
Franco, Renato A. M. [UNESP] Hernandez, Fernando B. T. [UNESP] Teixeira, Antonio H. de C. Leivas, Janice Freitas Coaguila, Daniel Noe [UNESP] Neale, Christopher M. Neale, CMU Maltese, A. |
author_role |
author |
author2 |
Hernandez, Fernando B. T. [UNESP] Teixeira, Antonio H. de C. Leivas, Janice Freitas Coaguila, Daniel Noe [UNESP] Neale, Christopher M. Neale, CMU Maltese, A. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Univ Nebraska |
dc.contributor.author.fl_str_mv |
Franco, Renato A. M. [UNESP] Hernandez, Fernando B. T. [UNESP] Teixeira, Antonio H. de C. Leivas, Janice Freitas Coaguila, Daniel Noe [UNESP] Neale, Christopher M. Neale, CMU Maltese, A. |
dc.subject.por.fl_str_mv |
water productivity production biomass evapotranspiration SAFER |
topic |
water productivity production biomass evapotranspiration SAFER |
description |
The use of remote sensing satellite in conjunction with models and meteorological data enable the mapping of biophysical properties of agroecosystems with satisfactory accuracy. The main goal of this research was to determine the spatial-temporal agro-ecological indicators of water productivity in watersheds with different types of land use and occupation, using Landsat 8 images, agro-meteorological stations and application of Monteith and SAFER (Simple Algorithm for Retrieving Evapotranspiration) models to estimate the production biomass (BIO) and the actual evapotranspiration (ET), respectively. Incident global solar radiation (RS down arrow) is observed seasonality of radiation during the year. Higher RS down arrow levels happen during the first and the last four months, when the Sun is around its zenith positions in the study region. During the natural dry period in the region, the RS down arrow is lower because winter solstice time for the Southern Hemisphere, this condition it is veri fied the reducing in the values of ET and BIO. Average values of biophysical properties for the study period were 0.54, 0.16 and 301 K for Normalized Difference Vegetation Index, albedo and surface temperature, respectively. The highest value of BIO was 105 kg ha(-1) d(-1) and occurred in July 2013. The lowest value was 15.9 kg ha(-1) d(-1) and occurred in October 2014. ET showed a value of 1.65 mm d(-1) in the rainy period and 0.64 during the dry period in the study area. The highest average ET occurred in the irrigated area (June 2014), with a value of 1.89 mm d(-1) and a maximum of 2.46 mm d(-1). WP average for the evaluated period was 3.06 Kg m(-3), with the largest value of 4.91 Kg m(-3) in June 2013 and a minimum value of 2.45 Kg m(-3) in September 2013. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01 2018-11-26T15:38:05Z 2018-11-26T15:38:05Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1117/12.2242003 Remote Sensing For Agriculture, Ecosystems, And Hydrology Xviii. Bellingham: Spie-int Soc Optical Engineering, v. 9998, 12 p., 2016. 0277-786X http://hdl.handle.net/11449/159348 10.1117/12.2242003 WOS:000393152800044 WOS000393152800044.pdf |
url |
http://dx.doi.org/10.1117/12.2242003 http://hdl.handle.net/11449/159348 |
identifier_str_mv |
Remote Sensing For Agriculture, Ecosystems, And Hydrology Xviii. Bellingham: Spie-int Soc Optical Engineering, v. 9998, 12 p., 2016. 0277-786X 10.1117/12.2242003 WOS:000393152800044 WOS000393152800044.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Remote Sensing For Agriculture, Ecosystems, And Hydrology Xviii |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
12 application/pdf |
dc.publisher.none.fl_str_mv |
Spie-int Soc Optical Engineering |
publisher.none.fl_str_mv |
Spie-int Soc Optical Engineering |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1797790280522399744 |