Authors: Michael Toomey*, National Geospatial Intelligence Agency
Topics: Agricultural Geography, Remote Sensing
Keywords: Food security, agriculture, remote sensing
Session Type: Paper
Start / End Time: 8:00 AM / 9:40 AM
Room: Iris, Sheraton, 8th Floor
Presentation File: No File Uploaded
Food insecurity drives humanitarian crises around the globe and can contribute to regional instability. A number of public platforms exist which leverage low resolution Normalized Difference Vegetation Index (NDVI) data to monitor global crop production and detect potential crop losses. Low resolution NDVI data, however, can be insensitive to crop production changes in regions dominated by non-mechanized agriculture and cannot provide accurate assessments until mid-growing season. In this presentation, I describe methods using multispectral imagery with complementary spatial, temporal and spectral resolutions in order to provide accurate and early indications of crop potential. These sources include common workhorse satellites such as MODIS and Landsat as well as high resolution imagery from the Planet Labs constellation of smallsats. Each informs unique aspects of rice and field crop development, enabling a holistic view of food security.