Remote sensing time series analysis for monitoring agriculture to assess food security and temporality of settlements of internally displaced peoples (IDPs)

Authors: Hannah Friedrich*, Oregon State University
Topics: Migration, Remote Sensing, Human-Environment Geography
Keywords: internally displaced peoples (IDPs), remote sensing, agricultural monitoring, food security
Session Type: Paper
Day: 4/3/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Jackson, Marriott, Mezzanine Level
Presentation File: No File Uploaded

Food security is a globally pressing issue, which acutely affects the lives of internally displaced peoples (IDPs) residing in informal settlements, where access to agricultural resources is limited and variable. Longitudinal surveys of flows of human migration from the International Organization for Migration’s Displacement Tracking Matrix (DTM) can be used to outline temporal patterns of IDP settlements, which are extremely informative for identifying locations that should be monitored for food security. However, due to limited DTM survey resources, there is inconsistent settlement presence records, which is problematic for tracking ephemeral or abandoned settlements. In response to the inconsistencies in DTM settlement records, this research utilizes remote sensing analysis to identify agriculture, at or near settlements previously identified in DTM, as a proxy for settlement presence during time periods when there is an absence of DTM data. Furthermore, by conducting time series analysis of Sentinel-2 and Landsat imagery to monitor agricultural transitions, such as agricultural establishment, degradation and abandonment at settlements, this research assesses how remote sensing enhances the ability to monitor food security at IDP settlements. By combining temporal settlement location information gleaned from DTM and remotely sensed agricultural trends, the aim of this research is to augment the gaps in DTM with satellite image analysis in order to leverage an understanding of how human migration flow data and remote sensing can be used in conjunction to create a more temporally consistent narrative of IDP settlement presence and food security.

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