The Roles of Remote Sensing in Nature Conservation : A Practical Guide and Case Studies /

During recent decades, a rapid increase in available data sources has enabled researchers to develop hundreds of new remote sensing applications: data provided by new sensors attached to satellites, aircrafts and drones. However, a major challenge remains unresolved: how to transfer the knowledge of...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: D az-Delgado, Ricardo; Lucas, Richard; Hurford, Clive
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-64332-8
Summary: During recent decades, a rapid increase in available data sources has enabled researchers to develop hundreds of new remote sensing applications: data provided by new sensors attached to satellites, aircrafts and drones. However, a major challenge remains unresolved: how to transfer the knowledge of these technological advances to conservation practitioners and facilitate access to the remote sensing products that are currently available. In this volume, we illustrate the ability of new technologies, such as drones, camera traps or miniaturized sensors, to enhance our information on habitat
Carrier Form: 1 online resource (XII, 318 pages): illustrations
ISBN: 9783319643328
Index Number: QH75
CLC: Q14
Contents: 1. Introducing the Book The Roles of Remote Sensing in Nature Conservation -- 2. Towards a Mature Age of Remote Sensing for Natura 2000 Habitat Conservation: Poor method transferability as a prime obstacle -- 3. Pre-processing of Remotely Sensed Imagery -- 4. Long-term Ecological Monitoring at Landscape Scale for Nature Conservation: The example of Do ana protected area.5. NILS - A Nationwide Inventory Program for Monitoring the Conditions and Changes of the Swedish Landscape -- 6. Mapping Coastal Habitats in Wales -- 7. Integrated Monitoring for Biodiversity Using Remote Sensing: From local