Spatial Observation of Giant Panda Habitat

Techniques and Methods

Jing Zhen, Qingkai Meng, Xinyuan Wang, et al.

PDF
ca. 213,99 €
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer Nature Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Geografie

Beschreibung

This book evaluates the past, present, and future habitat suitability of giant pandas based on spatial observation technology involving optical remote sensing, microwave remote sensing, and LiDAR to discover the mysterious ecological environment of giant panda habitat. Considering the problems faced by the world natural heritage site protection, it takes the world natural heritage site “Sichuan Giant Panda Sanctuaries – Wolong, Mt Siguniang and Jiajin Mountains” as the research area, exemplifies systematically the various techniques and methodologies of spatial information technology for monitoring, evaluation, and prediction of rare and endangered species habitats, and provides scientific suggestions for sustainable development of giant panda habitat based on a series of comprehensive case analysis at Wolong national nature reserve and Ya'an prefecture, Sichuan province, China. The book serves both as a textbook in the field of natural heritage protection, remote sensing, and GIS application, as well as a reference for managing natural heritage sites.


Weitere Titel in dieser Kategorie
Cover Inequality and Mobility
Inequality and Mobility
Katharina Grüneisl
0,00 €
Cover Land and Life
Land and Life
Carl Ortwin Sauer
54,99 €

Kundenbewertungen

Schlagwörter

habitat evaluation, microwave remote sensing, LiDAR, Remote Sensing/Photogrammetry, climate change, remote sensing, monitoring and restoration, geographic information, sustainable development, optical remote sensing, natural heritage site