Walsh, Stephen J. (2015). Drought Assessment through Advanced Very High Resolution Radiometer Satellite Data.. Tobin, Graham A. & Montz, Burrell E. (Eds.) (pp. 157-168). Newcastle upon Tyne, England: Cambridge Scholars Publishing.
Book abstract: The 21st century presents many challenges to the hazard manager; dynamic climatic conditions combined with population growth, rapid urbanization, and changing socio-economic relationships are reshaping disaster impacts, community responses, and social safety mechanisms. Indeed, human vulnerability is constantly restructured by the ongoing interplay of physical, social, economic, and political forces. At the same time, reducing vulnerability and enhancing community resilience require policies aimed at mitigating the consequences of disasters as they affect different locations and different groups, requiring sound scientifically-based research to further an understanding of the forces at play, and to devise appropriate means to counter them. It is within this context that this book examines evolving approaches to natural hazards. Research into natural hazards has a long tradition beginning with a focus on physical processes and evolving into an interdisciplinary agenda that incorporates interactions between the physical and human environments, embracing initiatives ranging from the physical to the socio-economic and political. It utilises various methodological approaches and technological advances, employing both quantitative and qualitative procedures. The papers included in this book offer insights into the development of applied hazards research, as they build on previous work, evolving technologies, improved understandings of the factors involved, and increased awareness of the needs of those who manage hazards. This volume shows an appreciation for the foundation that has been set, and will inspire future researchers as they look to address these very pressing social issues. Chapter objectives: This paper investigates the relationship between the Crop Moisture Index (CMI), a meteorologically based drought index, and vegetation characteristics assessed through remotely-sensed satellite data sampled during a growing season and situated in the state of Oklahoma, an environment which normally experiences conditions of moisture stress. Vegetation indices are applied to the AVHRR data for characterization of the landscape for the four 1980 time periods studied in this analysis. Statistical models are derived through multiple regression analysis to assess the spatial and temporal relationship between drought conditions evaluated through the Crop Moisture Index and remote sensing technologies. AVHRR data will be utilized in this study because of its applicability to global vegetation analysis. Moreover, the temporal and spatial resolution essential for evaluation of dynamic vegetation conditions over broad areas and on a systematic and repetitive basis can be evaluated with AVHRR data.
Walsh, Stephen J.