Change vector analysis for disaster assessment: A case study of Hurricane Andrew

Abstract

Remote sensing is a powerful and accurate means of collecting data for wildlife management, particularly for large areas which are difficult of access and feature delicate ecosystems.

Giant panda habitat in the People's Republic of China was evaluated by visual interpretation of multitemporal LANDSAT MSS images. The resulting map, combined with ground survey data, provides important information upon which management decisions can be planned.

This case study illustrates that remote sensing techniques can make a significant contribution to the management programme for the conservation of a threatened animal species.