Remote sensing for wildlife management: Giant panda habitat mapping from LANDSAT MSS images

Autor:	Robert De Wulf, Roland Goossens, Wu Shen Cai, John R. MacKinnon
Rok vydání:	1988
Předmět:	Geography Habitat Remote sensing (archaeology) Visual interpretation Geography Planning and Development Threatened species Management programme Wildlife management Animal species Ground survey Water Science and Technology Remote sensing
Zdroj:	Geocarto International. 3:41-50
ISSN:	1752-0762 1010-6049
DOI:	10.1080/10106048809354132
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3c05a7bec5be7aedda2ad6b61b9c3c35 https://doi.org/10.1080/10106048809354132 Zobrazit plný text záznamu