Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan

Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical storm related damage. Unbiased and transparent approaches to assess the risk of rice crop damage are essential to support mitigation and dis...
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Autor*in:	Mirco Boschetti [verfasserIn] Andrew Nelson [verfasserIn] Francesco Nutini [verfasserIn] Giacinto Manfron [verfasserIn] Lorenzo Busetto [verfasserIn] Massimo Barbieri [verfasserIn] Alice Laborte [verfasserIn] Jeny Raviz [verfasserIn] Francesco Holecz [verfasserIn] Mary Rose O. Mabalay [verfasserIn] Alfie P. Bacong [verfasserIn] Eduardo Jimmy P. Quilang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	phenology typhoon rice Philippines rapid damage assessments

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 7(2015), 6, Seite 6535-6557
Übergeordnetes Werk:	volume:7 ; year:2015 ; number:6 ; pages:6535-6557

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs70606535

Katalog-ID:	DOAJ018274781

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spelling	10.3390/rs70606535 doi (DE-627)DOAJ018274781 (DE-599)DOAJd58cf67e694d4e1ca239d1dfdb6ddcd8 DE-627 ger DE-627 rakwb eng Mirco Boschetti verfasserin aut Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical storm related damage. Unbiased and transparent approaches to assess the risk of rice crop damage are essential to support mitigation and disaster response strategies in the region. This study describes and demonstrates a method for rapid, pre-event crop status assessment. The ex-post test case is Typhoon Haiyan and its impact on the rice crop in Leyte Province in the Philippines. A synthetic aperture radar (SAR) derived rice area map was used to delineate the area at risk while crop status at the moment of typhoon landfall was estimated from specific time series analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) data. A spatially explicit indicator of risk of standing crop loss was calculated as the time between estimated heading date and typhoon occurrence. Results of the analysis of pre- and post-event SAR images showed that 6500 ha were flooded in northeastern Leyte. This area was also the region most at risk to storm related crop damage due to late establishment of rice. Estimates highlight that about 700 ha of rice (71% of which was in northeastern Leyte) had not reached maturity at the time of the typhoon event and a further 8400 ha (84% of which was in northeastern Leyte) were likely to be not yet harvested. We demonstrated that the proposed approach can provide pre-event, in-season information on the status of rice and other field crops and the risk of damage posed by tropical storms. phenology typhoon rice Philippines rapid damage assessments Science Q Andrew Nelson verfasserin aut Francesco Nutini verfasserin aut Giacinto Manfron verfasserin aut Lorenzo Busetto verfasserin aut Massimo Barbieri verfasserin aut Alice Laborte verfasserin aut Jeny Raviz verfasserin aut Francesco Holecz verfasserin aut Mary Rose O. Mabalay verfasserin aut Alfie P. Bacong verfasserin aut Eduardo Jimmy P. Quilang verfasserin aut In Remote Sensing MDPI AG, 2009 7(2015), 6, Seite 6535-6557 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:7 year:2015 number:6 pages:6535-6557 https://doi.org/10.3390/rs70606535 kostenfrei https://doaj.org/article/d58cf67e694d4e1ca239d1dfdb6ddcd8 kostenfrei http://www.mdpi.com/2072-4292/7/6/6535 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2015 6 6535-6557
allfields_unstemmed	10.3390/rs70606535 doi (DE-627)DOAJ018274781 (DE-599)DOAJd58cf67e694d4e1ca239d1dfdb6ddcd8 DE-627 ger DE-627 rakwb eng Mirco Boschetti verfasserin aut Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical storm related damage. Unbiased and transparent approaches to assess the risk of rice crop damage are essential to support mitigation and disaster response strategies in the region. This study describes and demonstrates a method for rapid, pre-event crop status assessment. The ex-post test case is Typhoon Haiyan and its impact on the rice crop in Leyte Province in the Philippines. A synthetic aperture radar (SAR) derived rice area map was used to delineate the area at risk while crop status at the moment of typhoon landfall was estimated from specific time series analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) data. A spatially explicit indicator of risk of standing crop loss was calculated as the time between estimated heading date and typhoon occurrence. Results of the analysis of pre- and post-event SAR images showed that 6500 ha were flooded in northeastern Leyte. This area was also the region most at risk to storm related crop damage due to late establishment of rice. Estimates highlight that about 700 ha of rice (71% of which was in northeastern Leyte) had not reached maturity at the time of the typhoon event and a further 8400 ha (84% of which was in northeastern Leyte) were likely to be not yet harvested. We demonstrated that the proposed approach can provide pre-event, in-season information on the status of rice and other field crops and the risk of damage posed by tropical storms. phenology typhoon rice Philippines rapid damage assessments Science Q Andrew Nelson verfasserin aut Francesco Nutini verfasserin aut Giacinto Manfron verfasserin aut Lorenzo Busetto verfasserin aut Massimo Barbieri verfasserin aut Alice Laborte verfasserin aut Jeny Raviz verfasserin aut Francesco Holecz verfasserin aut Mary Rose O. Mabalay verfasserin aut Alfie P. Bacong verfasserin aut Eduardo Jimmy P. Quilang verfasserin aut In Remote Sensing MDPI AG, 2009 7(2015), 6, Seite 6535-6557 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:7 year:2015 number:6 pages:6535-6557 https://doi.org/10.3390/rs70606535 kostenfrei https://doaj.org/article/d58cf67e694d4e1ca239d1dfdb6ddcd8 kostenfrei http://www.mdpi.com/2072-4292/7/6/6535 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2015 6 6535-6557
allfieldsGer	10.3390/rs70606535 doi (DE-627)DOAJ018274781 (DE-599)DOAJd58cf67e694d4e1ca239d1dfdb6ddcd8 DE-627 ger DE-627 rakwb eng Mirco Boschetti verfasserin aut Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical storm related damage. Unbiased and transparent approaches to assess the risk of rice crop damage are essential to support mitigation and disaster response strategies in the region. This study describes and demonstrates a method for rapid, pre-event crop status assessment. The ex-post test case is Typhoon Haiyan and its impact on the rice crop in Leyte Province in the Philippines. A synthetic aperture radar (SAR) derived rice area map was used to delineate the area at risk while crop status at the moment of typhoon landfall was estimated from specific time series analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) data. A spatially explicit indicator of risk of standing crop loss was calculated as the time between estimated heading date and typhoon occurrence. Results of the analysis of pre- and post-event SAR images showed that 6500 ha were flooded in northeastern Leyte. This area was also the region most at risk to storm related crop damage due to late establishment of rice. Estimates highlight that about 700 ha of rice (71% of which was in northeastern Leyte) had not reached maturity at the time of the typhoon event and a further 8400 ha (84% of which was in northeastern Leyte) were likely to be not yet harvested. We demonstrated that the proposed approach can provide pre-event, in-season information on the status of rice and other field crops and the risk of damage posed by tropical storms. phenology typhoon rice Philippines rapid damage assessments Science Q Andrew Nelson verfasserin aut Francesco Nutini verfasserin aut Giacinto Manfron verfasserin aut Lorenzo Busetto verfasserin aut Massimo Barbieri verfasserin aut Alice Laborte verfasserin aut Jeny Raviz verfasserin aut Francesco Holecz verfasserin aut Mary Rose O. Mabalay verfasserin aut Alfie P. Bacong verfasserin aut Eduardo Jimmy P. Quilang verfasserin aut In Remote Sensing MDPI AG, 2009 7(2015), 6, Seite 6535-6557 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:7 year:2015 number:6 pages:6535-6557 https://doi.org/10.3390/rs70606535 kostenfrei https://doaj.org/article/d58cf67e694d4e1ca239d1dfdb6ddcd8 kostenfrei http://www.mdpi.com/2072-4292/7/6/6535 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2015 6 6535-6557
allfieldsSound	10.3390/rs70606535 doi (DE-627)DOAJ018274781 (DE-599)DOAJd58cf67e694d4e1ca239d1dfdb6ddcd8 DE-627 ger DE-627 rakwb eng Mirco Boschetti verfasserin aut Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical storm related damage. Unbiased and transparent approaches to assess the risk of rice crop damage are essential to support mitigation and disaster response strategies in the region. This study describes and demonstrates a method for rapid, pre-event crop status assessment. The ex-post test case is Typhoon Haiyan and its impact on the rice crop in Leyte Province in the Philippines. A synthetic aperture radar (SAR) derived rice area map was used to delineate the area at risk while crop status at the moment of typhoon landfall was estimated from specific time series analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) data. A spatially explicit indicator of risk of standing crop loss was calculated as the time between estimated heading date and typhoon occurrence. Results of the analysis of pre- and post-event SAR images showed that 6500 ha were flooded in northeastern Leyte. This area was also the region most at risk to storm related crop damage due to late establishment of rice. Estimates highlight that about 700 ha of rice (71% of which was in northeastern Leyte) had not reached maturity at the time of the typhoon event and a further 8400 ha (84% of which was in northeastern Leyte) were likely to be not yet harvested. We demonstrated that the proposed approach can provide pre-event, in-season information on the status of rice and other field crops and the risk of damage posed by tropical storms. phenology typhoon rice Philippines rapid damage assessments Science Q Andrew Nelson verfasserin aut Francesco Nutini verfasserin aut Giacinto Manfron verfasserin aut Lorenzo Busetto verfasserin aut Massimo Barbieri verfasserin aut Alice Laborte verfasserin aut Jeny Raviz verfasserin aut Francesco Holecz verfasserin aut Mary Rose O. Mabalay verfasserin aut Alfie P. Bacong verfasserin aut Eduardo Jimmy P. Quilang verfasserin aut In Remote Sensing MDPI AG, 2009 7(2015), 6, Seite 6535-6557 (DE-627)608937916 (DE-600)2513863-7 20724292 nnns volume:7 year:2015 number:6 pages:6535-6557 https://doi.org/10.3390/rs70606535 kostenfrei https://doaj.org/article/d58cf67e694d4e1ca239d1dfdb6ddcd8 kostenfrei http://www.mdpi.com/2072-4292/7/6/6535 kostenfrei https://doaj.org/toc/2072-4292 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2119 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2015 6 6535-6557
language	English
source	In Remote Sensing 7(2015), 6, Seite 6535-6557 volume:7 year:2015 number:6 pages:6535-6557
sourceStr	In Remote Sensing 7(2015), 6, Seite 6535-6557 volume:7 year:2015 number:6 pages:6535-6557
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	phenology typhoon rice Philippines rapid damage assessments Science Q
isfreeaccess_bool	true
container_title	Remote Sensing
authorswithroles_txt_mv	Mirco Boschetti @@aut@@ Andrew Nelson @@aut@@ Francesco Nutini @@aut@@ Giacinto Manfron @@aut@@ Lorenzo Busetto @@aut@@ Massimo Barbieri @@aut@@ Alice Laborte @@aut@@ Jeny Raviz @@aut@@ Francesco Holecz @@aut@@ Mary Rose O. Mabalay @@aut@@ Alfie P. Bacong @@aut@@ Eduardo Jimmy P. Quilang @@aut@@
publishDateDaySort_date	2015-01-01T00:00:00Z
hierarchy_top_id	608937916
id	DOAJ018274781
language_de	englisch
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author	Mirco Boschetti
spellingShingle	Mirco Boschetti misc phenology misc typhoon misc rice misc Philippines misc rapid damage assessments misc Science misc Q Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan
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topic_title	Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan phenology typhoon rice Philippines rapid damage assessments
topic	misc phenology misc typhoon misc rice misc Philippines misc rapid damage assessments misc Science misc Q
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title	Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan
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title_full	Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan
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author_browse	Mirco Boschetti Andrew Nelson Francesco Nutini Giacinto Manfron Lorenzo Busetto Massimo Barbieri Alice Laborte Jeny Raviz Francesco Holecz Mary Rose O. Mabalay Alfie P. Bacong Eduardo Jimmy P. Quilang
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title_sort	rapid assessment of crop status: an application of modis and sar data to rice areas in leyte, philippines affected by typhoon haiyan
title_auth	Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan
abstract	Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical storm related damage. Unbiased and transparent approaches to assess the risk of rice crop damage are essential to support mitigation and disaster response strategies in the region. This study describes and demonstrates a method for rapid, pre-event crop status assessment. The ex-post test case is Typhoon Haiyan and its impact on the rice crop in Leyte Province in the Philippines. A synthetic aperture radar (SAR) derived rice area map was used to delineate the area at risk while crop status at the moment of typhoon landfall was estimated from specific time series analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) data. A spatially explicit indicator of risk of standing crop loss was calculated as the time between estimated heading date and typhoon occurrence. Results of the analysis of pre- and post-event SAR images showed that 6500 ha were flooded in northeastern Leyte. This area was also the region most at risk to storm related crop damage due to late establishment of rice. Estimates highlight that about 700 ha of rice (71% of which was in northeastern Leyte) had not reached maturity at the time of the typhoon event and a further 8400 ha (84% of which was in northeastern Leyte) were likely to be not yet harvested. We demonstrated that the proposed approach can provide pre-event, in-season information on the status of rice and other field crops and the risk of damage posed by tropical storms.
abstractGer	Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical storm related damage. Unbiased and transparent approaches to assess the risk of rice crop damage are essential to support mitigation and disaster response strategies in the region. This study describes and demonstrates a method for rapid, pre-event crop status assessment. The ex-post test case is Typhoon Haiyan and its impact on the rice crop in Leyte Province in the Philippines. A synthetic aperture radar (SAR) derived rice area map was used to delineate the area at risk while crop status at the moment of typhoon landfall was estimated from specific time series analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) data. A spatially explicit indicator of risk of standing crop loss was calculated as the time between estimated heading date and typhoon occurrence. Results of the analysis of pre- and post-event SAR images showed that 6500 ha were flooded in northeastern Leyte. This area was also the region most at risk to storm related crop damage due to late establishment of rice. Estimates highlight that about 700 ha of rice (71% of which was in northeastern Leyte) had not reached maturity at the time of the typhoon event and a further 8400 ha (84% of which was in northeastern Leyte) were likely to be not yet harvested. We demonstrated that the proposed approach can provide pre-event, in-season information on the status of rice and other field crops and the risk of damage posed by tropical storms.
abstract_unstemmed	Asian countries strongly depend on rice production for food security. The major rice-growing season (June to October) is highly exposed to the risk of tropical storm related damage. Unbiased and transparent approaches to assess the risk of rice crop damage are essential to support mitigation and disaster response strategies in the region. This study describes and demonstrates a method for rapid, pre-event crop status assessment. The ex-post test case is Typhoon Haiyan and its impact on the rice crop in Leyte Province in the Philippines. A synthetic aperture radar (SAR) derived rice area map was used to delineate the area at risk while crop status at the moment of typhoon landfall was estimated from specific time series analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) data. A spatially explicit indicator of risk of standing crop loss was calculated as the time between estimated heading date and typhoon occurrence. Results of the analysis of pre- and post-event SAR images showed that 6500 ha were flooded in northeastern Leyte. This area was also the region most at risk to storm related crop damage due to late establishment of rice. Estimates highlight that about 700 ha of rice (71% of which was in northeastern Leyte) had not reached maturity at the time of the typhoon event and a further 8400 ha (84% of which was in northeastern Leyte) were likely to be not yet harvested. We demonstrated that the proposed approach can provide pre-event, in-season information on the status of rice and other field crops and the risk of damage posed by tropical storms.
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title_short	Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan
url	https://doi.org/10.3390/rs70606535 https://doaj.org/article/d58cf67e694d4e1ca239d1dfdb6ddcd8 http://www.mdpi.com/2072-4292/7/6/6535 https://doaj.org/toc/2072-4292
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