CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT
ABSTRACT Accurate crop data are essential for reliable irrigation water requirements (IWR) calculations, which can be acquired during the crop growth season for a given region using earth observation (EO) satellite time series. In addition, a relationship between crop coefficients and the NDVI can b...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Engenharia Agrícola
2019-06-01
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| Series: | Engenharia Agrícola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300380&tlng=en |
| _version_ | 1818730989057212416 |
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| author | João Rolim Ana Navarro Pedro Vilar Cátia Saraiva Joao Catalao |
| author_facet | João Rolim Ana Navarro Pedro Vilar Cátia Saraiva Joao Catalao |
| author_sort | João Rolim |
| collection | DOAJ |
| description | ABSTRACT Accurate crop data are essential for reliable irrigation water requirements (IWR) calculations, which can be acquired during the crop growth season for a given region using earth observation (EO) satellite time series. In addition, a relationship between crop coefficients and the NDVI can be established to allow for crop evapotranspiration estimation. The main objective of the present work was to develop a methodology, and its implementation in an application software, to extract crop parameters from EO image time series for a set of parcels of different types of crops, to be used as input data for a soil water balance model to compute IWR. The methodology was tested at two distinct test sites, the Vila Franca de Xira (site I) and Vila Velha de Ródão (site II) municipalities, Portugal. Landsat-7 and −8 images acquired from April to October 2013 were used for site I, while SPOT-5 Take-5 images from April to September 2015 were considered for site II. EO data were used to estimate the basal crop coefficients, planting dates, and crops growth stage lengths. Based on crop, soil and meteorological data, the IWR for the main crops of both test regions were estimated using the IrrigRotation model. The crop coefficient curves obtained from the EO data proved to be reliable for IWR estimation. |
| first_indexed | 2024-12-17T23:10:32Z |
| format | Article |
| id | doaj.art-a94c6eacb1ea476b9d29196095217c45 |
| institution | Directory Open Access Journal |
| issn | 0100-6916 |
| language | English |
| last_indexed | 2024-12-17T23:10:32Z |
| publishDate | 2019-06-01 |
| publisher | Sociedade Brasileira de Engenharia Agrícola |
| record_format | Article |
| series | Engenharia Agrícola |
| spelling | doaj.art-a94c6eacb1ea476b9d29196095217c452022-12-21T21:29:08ZengSociedade Brasileira de Engenharia AgrícolaEngenharia Agrícola0100-69162019-06-0139338039010.1590/1809-4430-eng.agric.v39n3p380-390/2019CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENTJoão Rolimhttps://orcid.org/0000-0003-1782-2732Ana NavarroPedro VilarCátia SaraivaJoao CatalaoABSTRACT Accurate crop data are essential for reliable irrigation water requirements (IWR) calculations, which can be acquired during the crop growth season for a given region using earth observation (EO) satellite time series. In addition, a relationship between crop coefficients and the NDVI can be established to allow for crop evapotranspiration estimation. The main objective of the present work was to develop a methodology, and its implementation in an application software, to extract crop parameters from EO image time series for a set of parcels of different types of crops, to be used as input data for a soil water balance model to compute IWR. The methodology was tested at two distinct test sites, the Vila Franca de Xira (site I) and Vila Velha de Ródão (site II) municipalities, Portugal. Landsat-7 and −8 images acquired from April to October 2013 were used for site I, while SPOT-5 Take-5 images from April to September 2015 were considered for site II. EO data were used to estimate the basal crop coefficients, planting dates, and crops growth stage lengths. Based on crop, soil and meteorological data, the IWR for the main crops of both test regions were estimated using the IrrigRotation model. The crop coefficient curves obtained from the EO data proved to be reliable for IWR estimation.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300380&tlng=enremote sensingirrigationsoftwareNDVIcrop phenologycrop coefficient |
| spellingShingle | João Rolim Ana Navarro Pedro Vilar Cátia Saraiva Joao Catalao CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT Engenharia Agrícola remote sensing irrigation software NDVI crop phenology crop coefficient |
| title | CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT |
| title_full | CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT |
| title_fullStr | CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT |
| title_full_unstemmed | CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT |
| title_short | CROP DATA RETRIEVAL USING EARTH OBSERVATION DATA TO SUPPORT AGRICULTURAL WATER MANAGEMENT |
| title_sort | crop data retrieval using earth observation data to support agricultural water management |
| topic | remote sensing irrigation software NDVI crop phenology crop coefficient |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300380&tlng=en |
| work_keys_str_mv | AT joaorolim cropdataretrievalusingearthobservationdatatosupportagriculturalwatermanagement AT ananavarro cropdataretrievalusingearthobservationdatatosupportagriculturalwatermanagement AT pedrovilar cropdataretrievalusingearthobservationdatatosupportagriculturalwatermanagement AT catiasaraiva cropdataretrievalusingearthobservationdatatosupportagriculturalwatermanagement AT joaocatalao cropdataretrievalusingearthobservationdatatosupportagriculturalwatermanagement |