Javascript must be enabled to continue!
Assessment of paddy fields’ damage caused by Cyclone Nargis using MODIS time-series images (2004–2013)
View through CrossRef
AbstractThe Ayeyarwady Delta in the Bay of Bengal, the rice bowl of Myanmar, depends on natural conditions, especially rainfall. During the dry season, the delta’s coastal zone experiences saline water intrusion due to its low-lying topography. On May 2, 2008, Cyclone Nargis made landfall and crossed Ayeyarwady Region and Yangon City, affecting more than 50 townships and causing massive destruction of personal property and natural ecosystems. There is no doubt that Nargis caused an unprecedented large-scale disaster, but there is no objective method to quantify crop yield and salinity damage in the delta post-Nargis. The purpose of this study, therefore, is to clarify the changes in vegetation in paddy fields in the Ayeyarwady Delta using Moderate Resolution Imaging Spectroradiometer data pre- and post-Nargis and determine whether this method can be applied to measure crop and salinity damage. The study used daily composite data at a 250-m resolution (MOD09GQ, collection 6) from 2004 to 2013 and calculated NDVI and salinity indices smoothed by locally weighted regression (Lowess). Based on the results of our studies, NDVI peak value in 2008 was lower by 19% compared to 2007 data, and that the NDVI peak values declined for three straight years since May 2008 when Nargis struck. However, salinity damage evaluation pre- and post-Nargis (using the salinity index equation) showed that soil electrical conductivity did not tend to move up in the post-Nargis dry season (2009), indicating that the decrease in NDVI values was not due to salinity damage.
Springer Science and Business Media LLC
Title: Assessment of paddy fields’ damage caused by Cyclone Nargis using MODIS time-series images (2004–2013)
Description:
AbstractThe Ayeyarwady Delta in the Bay of Bengal, the rice bowl of Myanmar, depends on natural conditions, especially rainfall.
During the dry season, the delta’s coastal zone experiences saline water intrusion due to its low-lying topography.
On May 2, 2008, Cyclone Nargis made landfall and crossed Ayeyarwady Region and Yangon City, affecting more than 50 townships and causing massive destruction of personal property and natural ecosystems.
There is no doubt that Nargis caused an unprecedented large-scale disaster, but there is no objective method to quantify crop yield and salinity damage in the delta post-Nargis.
The purpose of this study, therefore, is to clarify the changes in vegetation in paddy fields in the Ayeyarwady Delta using Moderate Resolution Imaging Spectroradiometer data pre- and post-Nargis and determine whether this method can be applied to measure crop and salinity damage.
The study used daily composite data at a 250-m resolution (MOD09GQ, collection 6) from 2004 to 2013 and calculated NDVI and salinity indices smoothed by locally weighted regression (Lowess).
Based on the results of our studies, NDVI peak value in 2008 was lower by 19% compared to 2007 data, and that the NDVI peak values declined for three straight years since May 2008 when Nargis struck.
However, salinity damage evaluation pre- and post-Nargis (using the salinity index equation) showed that soil electrical conductivity did not tend to move up in the post-Nargis dry season (2009), indicating that the decrease in NDVI values was not due to salinity damage.
Related Results
Analisis Penggunaan Variasi Turbo Cyclone Terhadap Performa Kendaraan
Analisis Penggunaan Variasi Turbo Cyclone Terhadap Performa Kendaraan
Penelitian ini dilatar belakangi banyaknya kendaraan dengan usia pakai dan pola perawatan yang tidak rutin yang berakibat turunannya performa dan emisi yang meningkat. Penelitian i...
Are there any changes in burden and management of communicable diseases in areas affected by Cyclone Nargis?
Are there any changes in burden and management of communicable diseases in areas affected by Cyclone Nargis?
Abstract
Background
This study aims to assess the situation of communicable diseases under national surveillance in the Cyclone Nargis-affected a...
A Machine Learning-Based Tropical Cyclone Precipitation Simulation in China
A Machine Learning-Based Tropical Cyclone Precipitation Simulation in China
Heavy precipitation is a major hazard associated with tropical cyclones, often causing substantial economic losses and casualties through secondary disasters such as floods, landsl...
Assessment of soil organic carbon stocks : a comparison between open burning paddy field and organic paddy field
Assessment of soil organic carbon stocks : a comparison between open burning paddy field and organic paddy field
Most farmers in Asia including Thailand select burning methods because it is a conventional way to remove stubbles and prepare for the next crop cycle. Air pollution arising from o...
Global climatology of cyclone clustering in present and future climates
Global climatology of cyclone clustering in present and future climates
Cyclone clustering, the swift succession of multiple extratropical cyclones in a geographically confined region during a short period of time, constitutes a large fraction of Europ...
Antecedents for the Shapiro–Keyser Cyclone Model in the Bergen School Literature
Antecedents for the Shapiro–Keyser Cyclone Model in the Bergen School Literature
AbstractTwo widely accepted conceptual models of extratropical cyclone structure and evolution exist: the Norwegian and Shapiro–Keyser cyclone models. The Norwegian cyclone model w...
Development of SWAT-Paddy for Simulating Lowland Paddy Fields
Development of SWAT-Paddy for Simulating Lowland Paddy Fields
The recent increase in global consumption of rice has led to increased demand for sustainable water management in paddy cultivation. In this study, we propose an enhanced paddy sim...
PREDICTION OF CYCLONE USING KALMAN SPATIO TEMPORAL AND TWO DIMENSIONAL DEEP LEARNING MODEL
PREDICTION OF CYCLONE USING KALMAN SPATIO TEMPORAL AND TWO DIMENSIONAL DEEP LEARNING MODEL
Cyclone Classification and Prediction models rely on large intensity based on the maximum speed of the wind, along with the classification of intensity. The computational constrain...

