TY - JOUR
T1 - Vegetation monitoring for Guatemala
T2 - A comparison between simulated VIIRS and MODIS satellite data
AU - Boken, Vijendra K.
AU - Easson, Gregory L.
AU - Rowland, James
N1 - Funding Information:
A case study of Guatemala in Central America is presented. Selection of the study area was influenced by the need for monitoring food security (which includes monitoring of food production) for Central America by the Famine Early Warning Systems Network (FEWS-NET; www.fews.net); the term ‘food security’ here refers to the sufficiency of food production. FEWS NET is funded by the US Agency for International Development (USAID) and monitors the development of drought or famine conditions. FEWS NET has been successfully monitoring food security in Africa for more than two decades using AVHRR-derived NDVI composites (Rowland et al. 2005). Recently, FEWS-NET began its operations in Central America using MODIS data and has expressed interest in studying VIIRS-NDVI data for continuing its operations after the expiry of the AVHRR and MODIS missions.
PY - 2010/12
Y1 - 2010/12
N2 - The advanced very high resolution radiometer (AVHRR) and moderate resolution imaging spectroradiometer (MODIS) data are being widely used for vegetation monitoring across the globe. However, sensors will discontinue collecting these data in the near future. National Aeronautics and Space Administration is planning to launch a new sensor, visible infrared imaging radiometer suite (VIIRS), to continue to provide satellite data for vegetation monitoring. This article presents a case study of Guatemala and compares the simulated VIIRS-Normalized Difference Vegetation Index (NDVI) with MODIS-NDVI for four different dates each in 2003 and 2005. The dissimilarity between VIIRS-NDVI and MODIS-NDVI was examined on the basis of the percent difference, the two-tailed student's t-test, and the coefficient of determination, R2. The per cent difference was found to be within 3%, the p-value ranged between 0.52 and 0.99, and R2 exceeded 0.88 for all major types of vegetation (basic grains, rubber, sugarcane, coffee and forests) found in Guatemala. It was therefore concluded that VIIRS will be almost equally capable of vegetation monitoring as MODIS.
AB - The advanced very high resolution radiometer (AVHRR) and moderate resolution imaging spectroradiometer (MODIS) data are being widely used for vegetation monitoring across the globe. However, sensors will discontinue collecting these data in the near future. National Aeronautics and Space Administration is planning to launch a new sensor, visible infrared imaging radiometer suite (VIIRS), to continue to provide satellite data for vegetation monitoring. This article presents a case study of Guatemala and compares the simulated VIIRS-Normalized Difference Vegetation Index (NDVI) with MODIS-NDVI for four different dates each in 2003 and 2005. The dissimilarity between VIIRS-NDVI and MODIS-NDVI was examined on the basis of the percent difference, the two-tailed student's t-test, and the coefficient of determination, R2. The per cent difference was found to be within 3%, the p-value ranged between 0.52 and 0.99, and R2 exceeded 0.88 for all major types of vegetation (basic grains, rubber, sugarcane, coffee and forests) found in Guatemala. It was therefore concluded that VIIRS will be almost equally capable of vegetation monitoring as MODIS.
KW - Central america
KW - Crop condition monitoring
KW - Food security
KW - Performance evaluation
KW - Remote sensing
KW - Statistical difference
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U2 - 10.1080/10106049.2010.519786
DO - 10.1080/10106049.2010.519786
M3 - Article
AN - SCOPUS:78649387071
SN - 1010-6049
VL - 25
SP - 617
EP - 627
JO - Geocarto International
JF - Geocarto International
IS - 8
ER -