Discriminating Rice Crop Establishment Practices at Field Level Using Multi-temporal Sentinel-1 Intensity Data

Vidya Nahdiyatul Fikriyah, R. Darvishzadeh, Alice G. Laborte, Nasreen Khan, A.D. Nelson

Research output: Contribution to conferenceAbstractAcademic

Abstract

Rice management practices which make the sustainable use of resources more efficient are important interventions towards food security. Monitoring rice crop establishment methods (transplanting or direct seeding) using remote sensing data, can provide vital information on the type of practices as well as their spread and change over time. Direct seeding is a water and labour saving practice that is being promoted across Asia, yet most existing rice crop monitoring methods assume that the rice is transplanted and hence they may not perform as well as direct seeding becomes more popular. To improve the ability of rice crop monitoring methods, it is important to understand the differences in the multi-temporal information due to different crop establishment methods and then incorporate that into improved monitoring systems.

Crop establishment is a rapid event that cannot be easily seen with remote sensing. However, we can infer which establishment method is used from resulting observable differences in land surface characteristics such as field condition and crop development stage in terms of delayed or prolonged stages that occur over a longer time. In this study, temporal information from Sentinel-1 Synthetic Aperture Radar (SAR) backscatter was used to first detect alterations in field condition and rice growth, and then link those to crop establishment practices. Farmer surveys and field observations were conducted in the province of Nueva Ecija (Philippines) in four selected municipalities across the province in 2017, to obtain information on field boundaries and crop management practices for 61 fields. Multi-temporal, dual-polarised, C-band backscatter data at 20m spatial resolution was acquired from Sentinel-1A every 12 days over the study area during the dry season, from November 2016 to May 2017. Mean backscatter values were calculated for each rice field and SAR acquisition date. The SAR acquisition dates were selected based on the reported dates for land management activities and the estimated dates of the crop growth stages. We used a Mann-Whitney U test to study whether there are significant differences in backscatter between the two practices during the land management activities and crop growth stages.

Significant differences were observed in the early growing season, particularly during land preparation, crop establishment, rice tillering and stem elongation in cross-polarised, co-polarised and band ratio backscatter values. Our findings demonstrated that crop establishment methods could be clearly discriminated by SAR at these stages and that there is more opportunity for their discrimination than has been presented in the earlier literature.

The increased practice of dry and wet direct seeding has implications for many remote sensing-based rice monitoring methods that rely on a strong water signal during the early season to determine if a field has been (trans)planted with rice. This signal is weakened or is even non existent when direct seeding is practised. Rice monitoring systems will need to adapt so that they can still accurately monitor the cultivated rice area as new resource conserving crop management practices become more common. As well as SAR intensity information, these algorithms should also incorporate coherence, spectral reflectance and vegetation indices in a multi-sensor approach to rice crop monitoring.
Original languageEnglish
Pages1-1
Number of pages1
Publication statusPublished - 14 May 2019
EventESA Living Planet Symposium 2019 - Milano Congressi, Milan, Italy
Duration: 13 May 201917 May 2019
https://lps19.esa.int/NikalWebsitePortal/living-planet-symposium-2019/lps19

Conference

ConferenceESA Living Planet Symposium 2019
CountryItaly
CityMilan
Period13/05/1917/05/19
Internet address

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rice
crop
seeding
backscatter
synthetic aperture radar
monitoring
management practice
remote sensing
monitoring system
land management
field margin
tillering
spectral reflectance
resource
vegetation index
method
food security
paddy field
dry season
land surface

Cite this

Nahdiyatul Fikriyah, V., Darvishzadeh, R., Laborte, A. G., Khan, N., & Nelson, A. D. (2019). Discriminating Rice Crop Establishment Practices at Field Level Using Multi-temporal Sentinel-1 Intensity Data. 1-1. Abstract from ESA Living Planet Symposium 2019, Milan, Italy.
Nahdiyatul Fikriyah, Vidya ; Darvishzadeh, R. ; Laborte, Alice G. ; Khan, Nasreen ; Nelson, A.D. / Discriminating Rice Crop Establishment Practices at Field Level Using Multi-temporal Sentinel-1 Intensity Data. Abstract from ESA Living Planet Symposium 2019, Milan, Italy.1 p.
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abstract = "Rice management practices which make the sustainable use of resources more efficient are important interventions towards food security. Monitoring rice crop establishment methods (transplanting or direct seeding) using remote sensing data, can provide vital information on the type of practices as well as their spread and change over time. Direct seeding is a water and labour saving practice that is being promoted across Asia, yet most existing rice crop monitoring methods assume that the rice is transplanted and hence they may not perform as well as direct seeding becomes more popular. To improve the ability of rice crop monitoring methods, it is important to understand the differences in the multi-temporal information due to different crop establishment methods and then incorporate that into improved monitoring systems.Crop establishment is a rapid event that cannot be easily seen with remote sensing. However, we can infer which establishment method is used from resulting observable differences in land surface characteristics such as field condition and crop development stage in terms of delayed or prolonged stages that occur over a longer time. In this study, temporal information from Sentinel-1 Synthetic Aperture Radar (SAR) backscatter was used to first detect alterations in field condition and rice growth, and then link those to crop establishment practices. Farmer surveys and field observations were conducted in the province of Nueva Ecija (Philippines) in four selected municipalities across the province in 2017, to obtain information on field boundaries and crop management practices for 61 fields. Multi-temporal, dual-polarised, C-band backscatter data at 20m spatial resolution was acquired from Sentinel-1A every 12 days over the study area during the dry season, from November 2016 to May 2017. Mean backscatter values were calculated for each rice field and SAR acquisition date. The SAR acquisition dates were selected based on the reported dates for land management activities and the estimated dates of the crop growth stages. We used a Mann-Whitney U test to study whether there are significant differences in backscatter between the two practices during the land management activities and crop growth stages. Significant differences were observed in the early growing season, particularly during land preparation, crop establishment, rice tillering and stem elongation in cross-polarised, co-polarised and band ratio backscatter values. Our findings demonstrated that crop establishment methods could be clearly discriminated by SAR at these stages and that there is more opportunity for their discrimination than has been presented in the earlier literature. The increased practice of dry and wet direct seeding has implications for many remote sensing-based rice monitoring methods that rely on a strong water signal during the early season to determine if a field has been (trans)planted with rice. This signal is weakened or is even non existent when direct seeding is practised. Rice monitoring systems will need to adapt so that they can still accurately monitor the cultivated rice area as new resource conserving crop management practices become more common. As well as SAR intensity information, these algorithms should also incorporate coherence, spectral reflectance and vegetation indices in a multi-sensor approach to rice crop monitoring.",
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Nahdiyatul Fikriyah, V, Darvishzadeh, R, Laborte, AG, Khan, N & Nelson, AD 2019, 'Discriminating Rice Crop Establishment Practices at Field Level Using Multi-temporal Sentinel-1 Intensity Data' ESA Living Planet Symposium 2019, Milan, Italy, 13/05/19 - 17/05/19, pp. 1-1.

Discriminating Rice Crop Establishment Practices at Field Level Using Multi-temporal Sentinel-1 Intensity Data. / Nahdiyatul Fikriyah, Vidya; Darvishzadeh, R.; Laborte, Alice G.; Khan, Nasreen; Nelson, A.D.

2019. 1-1 Abstract from ESA Living Planet Symposium 2019, Milan, Italy.

Research output: Contribution to conferenceAbstractAcademic

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AU - Nahdiyatul Fikriyah, Vidya

AU - Darvishzadeh, R.

AU - Laborte, Alice G.

AU - Khan, Nasreen

AU - Nelson, A.D.

PY - 2019/5/14

Y1 - 2019/5/14

N2 - Rice management practices which make the sustainable use of resources more efficient are important interventions towards food security. Monitoring rice crop establishment methods (transplanting or direct seeding) using remote sensing data, can provide vital information on the type of practices as well as their spread and change over time. Direct seeding is a water and labour saving practice that is being promoted across Asia, yet most existing rice crop monitoring methods assume that the rice is transplanted and hence they may not perform as well as direct seeding becomes more popular. To improve the ability of rice crop monitoring methods, it is important to understand the differences in the multi-temporal information due to different crop establishment methods and then incorporate that into improved monitoring systems.Crop establishment is a rapid event that cannot be easily seen with remote sensing. However, we can infer which establishment method is used from resulting observable differences in land surface characteristics such as field condition and crop development stage in terms of delayed or prolonged stages that occur over a longer time. In this study, temporal information from Sentinel-1 Synthetic Aperture Radar (SAR) backscatter was used to first detect alterations in field condition and rice growth, and then link those to crop establishment practices. Farmer surveys and field observations were conducted in the province of Nueva Ecija (Philippines) in four selected municipalities across the province in 2017, to obtain information on field boundaries and crop management practices for 61 fields. Multi-temporal, dual-polarised, C-band backscatter data at 20m spatial resolution was acquired from Sentinel-1A every 12 days over the study area during the dry season, from November 2016 to May 2017. Mean backscatter values were calculated for each rice field and SAR acquisition date. The SAR acquisition dates were selected based on the reported dates for land management activities and the estimated dates of the crop growth stages. We used a Mann-Whitney U test to study whether there are significant differences in backscatter between the two practices during the land management activities and crop growth stages. Significant differences were observed in the early growing season, particularly during land preparation, crop establishment, rice tillering and stem elongation in cross-polarised, co-polarised and band ratio backscatter values. Our findings demonstrated that crop establishment methods could be clearly discriminated by SAR at these stages and that there is more opportunity for their discrimination than has been presented in the earlier literature. The increased practice of dry and wet direct seeding has implications for many remote sensing-based rice monitoring methods that rely on a strong water signal during the early season to determine if a field has been (trans)planted with rice. This signal is weakened or is even non existent when direct seeding is practised. Rice monitoring systems will need to adapt so that they can still accurately monitor the cultivated rice area as new resource conserving crop management practices become more common. As well as SAR intensity information, these algorithms should also incorporate coherence, spectral reflectance and vegetation indices in a multi-sensor approach to rice crop monitoring.

AB - Rice management practices which make the sustainable use of resources more efficient are important interventions towards food security. Monitoring rice crop establishment methods (transplanting or direct seeding) using remote sensing data, can provide vital information on the type of practices as well as their spread and change over time. Direct seeding is a water and labour saving practice that is being promoted across Asia, yet most existing rice crop monitoring methods assume that the rice is transplanted and hence they may not perform as well as direct seeding becomes more popular. To improve the ability of rice crop monitoring methods, it is important to understand the differences in the multi-temporal information due to different crop establishment methods and then incorporate that into improved monitoring systems.Crop establishment is a rapid event that cannot be easily seen with remote sensing. However, we can infer which establishment method is used from resulting observable differences in land surface characteristics such as field condition and crop development stage in terms of delayed or prolonged stages that occur over a longer time. In this study, temporal information from Sentinel-1 Synthetic Aperture Radar (SAR) backscatter was used to first detect alterations in field condition and rice growth, and then link those to crop establishment practices. Farmer surveys and field observations were conducted in the province of Nueva Ecija (Philippines) in four selected municipalities across the province in 2017, to obtain information on field boundaries and crop management practices for 61 fields. Multi-temporal, dual-polarised, C-band backscatter data at 20m spatial resolution was acquired from Sentinel-1A every 12 days over the study area during the dry season, from November 2016 to May 2017. Mean backscatter values were calculated for each rice field and SAR acquisition date. The SAR acquisition dates were selected based on the reported dates for land management activities and the estimated dates of the crop growth stages. We used a Mann-Whitney U test to study whether there are significant differences in backscatter between the two practices during the land management activities and crop growth stages. Significant differences were observed in the early growing season, particularly during land preparation, crop establishment, rice tillering and stem elongation in cross-polarised, co-polarised and band ratio backscatter values. Our findings demonstrated that crop establishment methods could be clearly discriminated by SAR at these stages and that there is more opportunity for their discrimination than has been presented in the earlier literature. The increased practice of dry and wet direct seeding has implications for many remote sensing-based rice monitoring methods that rely on a strong water signal during the early season to determine if a field has been (trans)planted with rice. This signal is weakened or is even non existent when direct seeding is practised. Rice monitoring systems will need to adapt so that they can still accurately monitor the cultivated rice area as new resource conserving crop management practices become more common. As well as SAR intensity information, these algorithms should also incorporate coherence, spectral reflectance and vegetation indices in a multi-sensor approach to rice crop monitoring.

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Nahdiyatul Fikriyah V, Darvishzadeh R, Laborte AG, Khan N, Nelson AD. Discriminating Rice Crop Establishment Practices at Field Level Using Multi-temporal Sentinel-1 Intensity Data. 2019. Abstract from ESA Living Planet Symposium 2019, Milan, Italy.