scispace - formally typeset
E

E. P. Green

Researcher at University of Newcastle

Publications -  13
Citations -  2583

E. P. Green is an academic researcher from University of Newcastle. The author has contributed to research in topics: Satellite imagery & Remote sensing (archaeology). The author has an hindex of 12, co-authored 13 publications receiving 2480 citations. Previous affiliations of E. P. Green include Newcastle University & World Conservation Monitoring Centre.

Papers
More filters
Journal ArticleDOI

The cost-effectiveness of remote sensing for tropical coastal resources assessment and management

TL;DR: In this article, the authors show that for coarse-detail habitat mapping with satellite imagery, the second highest cost is field survey which can account for 20% to 80% of total costs and >80% if a remote sensing facility already exists.
Journal ArticleDOI

Coral reef habitat mapping: how much detail can remote sensing provide?

TL;DR: Satellite and airborne remote-sensing methods for mapping Caribbean coral reefs are evaluated and detailed habitat-mapping can be conducted more accurately and cheaply with CASI, which was significantly more accurate than satellite sensors and aerial photographs.
Journal ArticleDOI

Remote sensing techniques for mangrove mapping

TL;DR: Different approaches to the classification of remotely sensed data of mangroves are reviewed, and five different methodologies identified in this article, and the most accurate combination of sensor and image processing method for mapping the mangrove of the eastern Caribbean islands is identified.
Journal ArticleDOI

A review of remote sensing for the assessment and management of tropical coastal resources

TL;DR: In this article, the authors reviewed applications of remote sensing to the assessment of tropical coastal resources and discussed in the context of specific management objectives and sensors used, and suggested that wider use of Remote Sensing in tropical coastal zone management is limited by factors that affect data availability, such as cloud cover and sensor specification; and the problems that decision makers face in selecting a remote sensing technique suitable to their project objectives.