Role of Remote Sensing and Geographic Information Systems (GIS) in Disaster Management

Spatial-temporal data is primary data that were examined in Remote Sensing and Geographic Information Systems (GIS). Spatial information using the location specified in a coordinate system as the basic reference. This information can be analyzed to obtain new information such as: location, condition, trends, patterns, and spatial modeling.
Integration of Remote Sensing and GIS through analysis and modeling of data can generate new information in the field of geospatial and applied for specific purposes such as in disaster management. Capabilities and applications of Remote Sensing and Geographic Information Systems in disaster management is fundamental:
3.1. The satellites can detect early stages of the events as an "anomaly / anomalies" in a period of time
Many types of disasters, like floods, droughts, hurricanes, volcanic eruptions, and others will have some preliminary signs. Satellites that can detect early stages of this incident as keganjilan-keganjilan/anomali in a period of time. No images are available on a regular short time intervals, and can be used to forecast or predict disasters slow and fast (Figure 2).
Figure 2. Predictions of hurricane (Hurricane) with Remote Sensing Data (NOAA)

Satellite images provide a comprehensive picture of the synoptic environment and provide excellent information from a very wide area (continent) to narrow in a few square meters only. Remote sensing and GIS provide a database of evidence left by these disasters and can be interpreted, combined with other information to make a hazard map, to indicate areas of potentially hazardous.
Remote sensing data, such as satellite imagery and aerial photographs can provide information and maps with a variety of terrain variables such as vegetation, water, and geology, both in terms of space and time. Zoning can be used as the basis of risk in any disaster management used by planners and decision makers.