Loading…

Crop Monitoring Based on SPOT-5 Take-5 and Sentinel-1A Data for the Estimation of Crop Water Requirements

Optical and microwave images have been combined for land cover monitoring in different agriculture scenarios, providing useful information on qualitative and quantitative land cover changes. This study aims to assess the complementarity and interoperability of optical (SPOT-5 Take-5) and synthetic a...

Full description

Saved in:
Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2016-06, Vol.8 (6), p.525
Main Authors: Navarro, Ana, Rolim, João, Miguel, Irina, Catalão, João, Silva, Joel, Painho, Marco, Vekerdy, Zoltán
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c330t-f9b1f59a46d190d9ffe3727aa560d578bfe5dae736a7a75b9e862204336300073
cites cdi_FETCH-LOGICAL-c330t-f9b1f59a46d190d9ffe3727aa560d578bfe5dae736a7a75b9e862204336300073
container_end_page
container_issue 6
container_start_page 525
container_title Remote sensing (Basel, Switzerland)
container_volume 8
creator Navarro, Ana
Rolim, João
Miguel, Irina
Catalão, João
Silva, Joel
Painho, Marco
Vekerdy, Zoltán
description Optical and microwave images have been combined for land cover monitoring in different agriculture scenarios, providing useful information on qualitative and quantitative land cover changes. This study aims to assess the complementarity and interoperability of optical (SPOT-5 Take-5) and synthetic aperture radar (SAR) (Sentinel-1A) data for crop parameter (basal crop coefficient (Kcb) values and the length of the crop’s development stages) retrieval and crop type classification, with a focus on crop water requirements, for an irrigation perimeter in Angola. SPOT-5 Take-5 images are used as a proxy of Sentinel-2 data to evaluate the potential of their enhanced temporal resolution for agricultural applications. In situ data are also used to complement the Earth O=observation (EO) data. The Normalized Difference Vegetation Index (NDVI) and dual (VV + VH) polarization backscattering time series are used to compute the Kcb curve for four crop types (maize, soybean, bean and pasture) and to estimate the length of each phenological growth stage. The Kcb values are then used to compute the crop’s evapotranspiration and to subsequently estimate the crop irrigation requirements based on a soil water balance model. A significant R2 correlation between NDVI and backscatter time series was observed for all crops, demonstrating that optical data can be replaced by microwave data in the presence of cloud cover. However, it was not possible to properly identify each stage of the crop cycle due to the lack of EO data for the complete growing season.
doi_str_mv 10.3390/rs8060525
format article
fullrecord <record><control><sourceid>doaj_cross</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_6cab81a7aedf41ac9d8c8d38e6bbdaad</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_6cab81a7aedf41ac9d8c8d38e6bbdaad</doaj_id><sourcerecordid>oai_doaj_org_article_6cab81a7aedf41ac9d8c8d38e6bbdaad</sourcerecordid><originalsourceid>FETCH-LOGICAL-c330t-f9b1f59a46d190d9ffe3727aa560d578bfe5dae736a7a75b9e862204336300073</originalsourceid><addsrcrecordid>eNpNkMFOwzAQRCMEElXpgT_wlUPAseM4PkIpUKmoiBZxjDbxuhjauNjmwN9jWlSxl1mtNE-zk2XnBb3kXNErH2paUcHEUTZgVLK8ZIod_9tPs1EI7zQN54Wi5SCzY--25NH1Njpv-xW5gYCauJ4snubLXJAlfGAS6DVZYB9tj-u8uCa3EIEY50l8QzIJ0W4g2uRyhuyIrxDRk2f8_LIeN8kYzrITA-uAoz8dZi93k-X4IZ_N76fj61necU5jblRbGKGgrHRKqJUxyCWTAKKiWsi6NSg0oOQVSJCiVVhXjNGS84qnvyQfZtM9Vzt4b7Y-JfPfjQPb7A7Orxrw0XZrbKoO2rpIHNSmLKBTuu5qzWus2lYD6MS62LM670LwaA68gja_lTeHyvkPfoVy4Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Crop Monitoring Based on SPOT-5 Take-5 and Sentinel-1A Data for the Estimation of Crop Water Requirements</title><source>IngentaConnect Journals</source><source>ProQuest - Publicly Available Content Database</source><creator>Navarro, Ana ; Rolim, João ; Miguel, Irina ; Catalão, João ; Silva, Joel ; Painho, Marco ; Vekerdy, Zoltán</creator><creatorcontrib>Navarro, Ana ; Rolim, João ; Miguel, Irina ; Catalão, João ; Silva, Joel ; Painho, Marco ; Vekerdy, Zoltán</creatorcontrib><description>Optical and microwave images have been combined for land cover monitoring in different agriculture scenarios, providing useful information on qualitative and quantitative land cover changes. This study aims to assess the complementarity and interoperability of optical (SPOT-5 Take-5) and synthetic aperture radar (SAR) (Sentinel-1A) data for crop parameter (basal crop coefficient (Kcb) values and the length of the crop’s development stages) retrieval and crop type classification, with a focus on crop water requirements, for an irrigation perimeter in Angola. SPOT-5 Take-5 images are used as a proxy of Sentinel-2 data to evaluate the potential of their enhanced temporal resolution for agricultural applications. In situ data are also used to complement the Earth O=observation (EO) data. The Normalized Difference Vegetation Index (NDVI) and dual (VV + VH) polarization backscattering time series are used to compute the Kcb curve for four crop types (maize, soybean, bean and pasture) and to estimate the length of each phenological growth stage. The Kcb values are then used to compute the crop’s evapotranspiration and to subsequently estimate the crop irrigation requirements based on a soil water balance model. A significant R2 correlation between NDVI and backscatter time series was observed for all crops, demonstrating that optical data can be replaced by microwave data in the presence of cloud cover. However, it was not possible to properly identify each stage of the crop cycle due to the lack of EO data for the complete growing season.</description><identifier>ISSN: 2072-4292</identifier><identifier>EISSN: 2072-4292</identifier><identifier>DOI: 10.3390/rs8060525</identifier><language>eng</language><publisher>MDPI AG</publisher><subject>agriculture ; evapotranspiration ; land cover change ; Sentinel-1A ; SPOT-5 Take-5 ; TIGER initiative</subject><ispartof>Remote sensing (Basel, Switzerland), 2016-06, Vol.8 (6), p.525</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c330t-f9b1f59a46d190d9ffe3727aa560d578bfe5dae736a7a75b9e862204336300073</citedby><cites>FETCH-LOGICAL-c330t-f9b1f59a46d190d9ffe3727aa560d578bfe5dae736a7a75b9e862204336300073</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Navarro, Ana</creatorcontrib><creatorcontrib>Rolim, João</creatorcontrib><creatorcontrib>Miguel, Irina</creatorcontrib><creatorcontrib>Catalão, João</creatorcontrib><creatorcontrib>Silva, Joel</creatorcontrib><creatorcontrib>Painho, Marco</creatorcontrib><creatorcontrib>Vekerdy, Zoltán</creatorcontrib><title>Crop Monitoring Based on SPOT-5 Take-5 and Sentinel-1A Data for the Estimation of Crop Water Requirements</title><title>Remote sensing (Basel, Switzerland)</title><description>Optical and microwave images have been combined for land cover monitoring in different agriculture scenarios, providing useful information on qualitative and quantitative land cover changes. This study aims to assess the complementarity and interoperability of optical (SPOT-5 Take-5) and synthetic aperture radar (SAR) (Sentinel-1A) data for crop parameter (basal crop coefficient (Kcb) values and the length of the crop’s development stages) retrieval and crop type classification, with a focus on crop water requirements, for an irrigation perimeter in Angola. SPOT-5 Take-5 images are used as a proxy of Sentinel-2 data to evaluate the potential of their enhanced temporal resolution for agricultural applications. In situ data are also used to complement the Earth O=observation (EO) data. The Normalized Difference Vegetation Index (NDVI) and dual (VV + VH) polarization backscattering time series are used to compute the Kcb curve for four crop types (maize, soybean, bean and pasture) and to estimate the length of each phenological growth stage. The Kcb values are then used to compute the crop’s evapotranspiration and to subsequently estimate the crop irrigation requirements based on a soil water balance model. A significant R2 correlation between NDVI and backscatter time series was observed for all crops, demonstrating that optical data can be replaced by microwave data in the presence of cloud cover. However, it was not possible to properly identify each stage of the crop cycle due to the lack of EO data for the complete growing season.</description><subject>agriculture</subject><subject>evapotranspiration</subject><subject>land cover change</subject><subject>Sentinel-1A</subject><subject>SPOT-5 Take-5</subject><subject>TIGER initiative</subject><issn>2072-4292</issn><issn>2072-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpNkMFOwzAQRCMEElXpgT_wlUPAseM4PkIpUKmoiBZxjDbxuhjauNjmwN9jWlSxl1mtNE-zk2XnBb3kXNErH2paUcHEUTZgVLK8ZIod_9tPs1EI7zQN54Wi5SCzY--25NH1Njpv-xW5gYCauJ4snubLXJAlfGAS6DVZYB9tj-u8uCa3EIEY50l8QzIJ0W4g2uRyhuyIrxDRk2f8_LIeN8kYzrITA-uAoz8dZi93k-X4IZ_N76fj61necU5jblRbGKGgrHRKqJUxyCWTAKKiWsi6NSg0oOQVSJCiVVhXjNGS84qnvyQfZtM9Vzt4b7Y-JfPfjQPb7A7Orxrw0XZrbKoO2rpIHNSmLKBTuu5qzWus2lYD6MS62LM670LwaA68gja_lTeHyvkPfoVy4Q</recordid><startdate>20160622</startdate><enddate>20160622</enddate><creator>Navarro, Ana</creator><creator>Rolim, João</creator><creator>Miguel, Irina</creator><creator>Catalão, João</creator><creator>Silva, Joel</creator><creator>Painho, Marco</creator><creator>Vekerdy, Zoltán</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>20160622</creationdate><title>Crop Monitoring Based on SPOT-5 Take-5 and Sentinel-1A Data for the Estimation of Crop Water Requirements</title><author>Navarro, Ana ; Rolim, João ; Miguel, Irina ; Catalão, João ; Silva, Joel ; Painho, Marco ; Vekerdy, Zoltán</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c330t-f9b1f59a46d190d9ffe3727aa560d578bfe5dae736a7a75b9e862204336300073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>agriculture</topic><topic>evapotranspiration</topic><topic>land cover change</topic><topic>Sentinel-1A</topic><topic>SPOT-5 Take-5</topic><topic>TIGER initiative</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Navarro, Ana</creatorcontrib><creatorcontrib>Rolim, João</creatorcontrib><creatorcontrib>Miguel, Irina</creatorcontrib><creatorcontrib>Catalão, João</creatorcontrib><creatorcontrib>Silva, Joel</creatorcontrib><creatorcontrib>Painho, Marco</creatorcontrib><creatorcontrib>Vekerdy, Zoltán</creatorcontrib><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Remote sensing (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Navarro, Ana</au><au>Rolim, João</au><au>Miguel, Irina</au><au>Catalão, João</au><au>Silva, Joel</au><au>Painho, Marco</au><au>Vekerdy, Zoltán</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Crop Monitoring Based on SPOT-5 Take-5 and Sentinel-1A Data for the Estimation of Crop Water Requirements</atitle><jtitle>Remote sensing (Basel, Switzerland)</jtitle><date>2016-06-22</date><risdate>2016</risdate><volume>8</volume><issue>6</issue><spage>525</spage><pages>525-</pages><issn>2072-4292</issn><eissn>2072-4292</eissn><abstract>Optical and microwave images have been combined for land cover monitoring in different agriculture scenarios, providing useful information on qualitative and quantitative land cover changes. This study aims to assess the complementarity and interoperability of optical (SPOT-5 Take-5) and synthetic aperture radar (SAR) (Sentinel-1A) data for crop parameter (basal crop coefficient (Kcb) values and the length of the crop’s development stages) retrieval and crop type classification, with a focus on crop water requirements, for an irrigation perimeter in Angola. SPOT-5 Take-5 images are used as a proxy of Sentinel-2 data to evaluate the potential of their enhanced temporal resolution for agricultural applications. In situ data are also used to complement the Earth O=observation (EO) data. The Normalized Difference Vegetation Index (NDVI) and dual (VV + VH) polarization backscattering time series are used to compute the Kcb curve for four crop types (maize, soybean, bean and pasture) and to estimate the length of each phenological growth stage. The Kcb values are then used to compute the crop’s evapotranspiration and to subsequently estimate the crop irrigation requirements based on a soil water balance model. A significant R2 correlation between NDVI and backscatter time series was observed for all crops, demonstrating that optical data can be replaced by microwave data in the presence of cloud cover. However, it was not possible to properly identify each stage of the crop cycle due to the lack of EO data for the complete growing season.</abstract><pub>MDPI AG</pub><doi>10.3390/rs8060525</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2072-4292
ispartof Remote sensing (Basel, Switzerland), 2016-06, Vol.8 (6), p.525
issn 2072-4292
2072-4292
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_6cab81a7aedf41ac9d8c8d38e6bbdaad
source IngentaConnect Journals; ProQuest - Publicly Available Content Database
subjects agriculture
evapotranspiration
land cover change
Sentinel-1A
SPOT-5 Take-5
TIGER initiative
title Crop Monitoring Based on SPOT-5 Take-5 and Sentinel-1A Data for the Estimation of Crop Water Requirements
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T06%3A46%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-doaj_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Crop%20Monitoring%20Based%20on%20SPOT-5%20Take-5%20and%20Sentinel-1A%20Data%20for%20the%20Estimation%20of%20Crop%20Water%20Requirements&rft.jtitle=Remote%20sensing%20(Basel,%20Switzerland)&rft.au=Navarro,%20Ana&rft.date=2016-06-22&rft.volume=8&rft.issue=6&rft.spage=525&rft.pages=525-&rft.issn=2072-4292&rft.eissn=2072-4292&rft_id=info:doi/10.3390/rs8060525&rft_dat=%3Cdoaj_cross%3Eoai_doaj_org_article_6cab81a7aedf41ac9d8c8d38e6bbdaad%3C/doaj_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c330t-f9b1f59a46d190d9ffe3727aa560d578bfe5dae736a7a75b9e862204336300073%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true