Water productivity mapping using Landsat 8 satellite together with weather stations

Bibliographic Details
Main Author: Franco, Renato A. M. [UNESP]
Publication Date: 2016
Other Authors: Hernandez, Fernando B. T. [UNESP], Teixeira, Antonio H. de C., Leivas, Janice Freitas, Coaguila, Daniel Noe [UNESP], Neale, Christopher M., Neale, CMU, Maltese, A.
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.
id UNSP_dd8935f80fa77a4dbeefd29dd4abd415
oai_identifier_str oai:repositorio.unesp.br:11449/159348
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling 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
_version_ 1797790280522399744