This paper presents a novel multi-sensor information fusion methodology for landing hazard assessment and avoidance. The focus of this research is to analyze hazard characteristics of a planetary surface using imagery data obtained in real-time during spacecraft orbit, descent, or landing. This information is used to enable a spacecraft to safely touchdown on a planetary surface during mission ...

Earthquake, flood, and drought data from different sources are combined in a single data set using the same data structure, projection, and scale. The intensity and frequency of each hazard is classified into severe, heavy, modest, and light, producing a dassification with 64 combined states for the three kinds of hazard. These classes are then ranked according to severity. The three hazard cov...

This paper presents a landslide-inventory-based and GIS-based framework for systematic landslide hazard analysis by employing historical landslide data in Hong Kong, coupling with geological, geomorphological, population, climatic, and rainfall data. Based on 1448 landslide data from 1984 to 1998, the diurnal and seasonal distributions of landslides are established and compared with the seasona...

In this study, the flood hazard of Corum province (Turkey) was investigated using Analytic Hierarchy Process (AHP), which is one most popular Multi-criteria Decision Analysis (MCDA) methods, based on Geographic Information System (GIS). As a result AHP process, categorized into five classes: very high, medium, low, and low. It determined that 3% total area under high hazard, 25% considered haza...

growing environmental and social concerns, both on the part of decision makers and public opinion, have brought a new perspective to the perception of hazard assessments a valid alternative in the long-term, and an effective complement in short and medium terms, to traditional design procedure for a resistant and safe environment. results of the gradual development of research on the probabilis...

Every year, malaria claims over a million lives around the globe. From which Ethiopia is a predominantly malaria prone country like most of sub Saharan African countries with about 75% of the landscape being favorable for the breeding of malaria vector and putting over 50 million people at risk. Attempts have been made to control the disease by eliminating the parasite. However, unknown spatial...

We propose a risk measure and construct an infectious diseases hazard map for India. Given outbreak location, index is assigned to each city using effective distance that depends on inter-city mobilities instead of geographical distance. demonstrate its utility SIR model augmented with air, rail, road data between top 446 cities. Simulations show the from location reliably predicts time arrival...