16.4 Case Study: NDVI-Based Corn Loss Assessment
through Regression Model
This case study highlights the flood crop loss assessment using daily NDVI.
Utilizing the regression-based model, the relationship between the NDVI and crop
yield was derived and later applied for flood loss assessment. Corn was selected as
the primary crop to carry out the loss assessment.
16.4.1 Flood Event
The flood event selected for the case study to perform the NDVI-based corn loss
assessment through the regression model was the 2011 Missouri Mississippi River
flooding. This flood event has occurred during May/June 2011. It was caused due to
the heavy downpour in the central part of the United States resulting in the extensive
water level raise in the surrounding rivers. The event was reported to have brought
more than 8 inches of rainfall in various parts of the mid-west region. In some places
of Missouri, the precipitation was recorded to be as high as 17.15 inches (Vining
et al. 2013). As this event occurred within the major corn-producing region as well as
within the growing season of the crop, it would be an ideal flooding case to examine
its impact on corn production in the flooded areas.
16.4.2 Data
The primary data utilize for this case study is the MODIS-based daily NDVI from the
year 2000 to 2015. These data products are acquired from the online database served
through the Web portal maintained by the Center for Spatial Information Science
and System (CSISS) at the George Mason University (GMU). Similarly, for the crop
classification information, Crop Data Layer (CDL) also from the year 2000 to 2015
was acquired from the same data source (Han et al. 2012). The MODIS-derived
NDVI has a spatial resolution of 250 m with daily temporal resolution. Similarly, the
CDL product is derived through LandSat TM and a spatial resolution of 30 m. These
products are derived annually. The county-level corn productivity for all floodaffected counties between the years 2000 and 2015 was obtained through the United
States Department of Agricultural (USDA) National Agricultural Statistics Service
(NASS) quick stat data repository. Information on counties directly impacted by the
2011 Mississippi river flooding was gathered through the Federal Emergency Management Agency’s (FEMA) Web services.
16 Flood Monitoring and Crop Damage Assessment
337
through Regression Model
This case study highlights the flood crop loss assessment using daily NDVI.
Utilizing the regression-based model, the relationship between the NDVI and crop
yield was derived and later applied for flood loss assessment. Corn was selected as
the primary crop to carry out the loss assessment.
16.4.1 Flood Event
The flood event selected for the case study to perform the NDVI-based corn loss
assessment through the regression model was the 2011 Missouri Mississippi River
flooding. This flood event has occurred during May/June 2011. It was caused due to
the heavy downpour in the central part of the United States resulting in the extensive
water level raise in the surrounding rivers. The event was reported to have brought
more than 8 inches of rainfall in various parts of the mid-west region. In some places
of Missouri, the precipitation was recorded to be as high as 17.15 inches (Vining
et al. 2013). As this event occurred within the major corn-producing region as well as
within the growing season of the crop, it would be an ideal flooding case to examine
its impact on corn production in the flooded areas.
16.4.2 Data
The primary data utilize for this case study is the MODIS-based daily NDVI from the
year 2000 to 2015. These data products are acquired from the online database served
through the Web portal maintained by the Center for Spatial Information Science
and System (CSISS) at the George Mason University (GMU). Similarly, for the crop
classification information, Crop Data Layer (CDL) also from the year 2000 to 2015
was acquired from the same data source (Han et al. 2012). The MODIS-derived
NDVI has a spatial resolution of 250 m with daily temporal resolution. Similarly, the
CDL product is derived through LandSat TM and a spatial resolution of 30 m. These
products are derived annually. The county-level corn productivity for all floodaffected counties between the years 2000 and 2015 was obtained through the United
States Department of Agricultural (USDA) National Agricultural Statistics Service
(NASS) quick stat data repository. Information on counties directly impacted by the
2011 Mississippi river flooding was gathered through the Federal Emergency Management Agency’s (FEMA) Web services.
16 Flood Monitoring and Crop Damage Assessment
337