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16
Review Remote Sensing of Ecology, Biodiversity and Conservation: A Review from the Perspective of Remote Sensing Specialists
, 2010
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Remote sensing and the future of landscape ecology
"... Remote sensing and the future of landscape ecology ..."
Article Gradient-Based Assessment of Habitat Quality for Spectral Ecosystem Monitoring
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© 2008 SAGE Publications DOI: 10.1177/0309133308098363
"... Multitemporal remote sensing of landscape dynamics and pattern change: describing natural and anthropogenic trends ..."
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Multitemporal remote sensing of landscape dynamics and pattern change: describing natural and anthropogenic trends
Remote Sensing
, 2010
"... Evaluating ecological patterns and processes is crucial for the conservation of ecosystems [1]. In this view, remote sensing is a powerful tool for monitoring their status and change. This involves several tasks like biodiversity estimate, landscape ecology, and species distribution modeling, to nam ..."
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Evaluating ecological patterns and processes is crucial for the conservation of ecosystems [1]. In this view, remote sensing is a powerful tool for monitoring their status and change. This involves several tasks like biodiversity estimate, landscape ecology, and species distribution modeling, to name a few [2]. Due to the difficulties associated with field-based data collection [3], the use of remote sensing for estimating ecological status and change is promising since it provides a synoptic view of an area with a high temporal resolution [4]. Of course in some cases remote sensing should be viewed as a help to plan a field survey rather than a replacement of it. Further, its improper use may lead to pitfalls and misleading results. This special issue “Ecological Status and Change by Remote Sensing ” is devoted to provide an almost complete overview of robust methods applied to ecological status and change estimate by remote sensing. The contributions published in this special issue cover most of the ecological fields of research involving remote sensing, in particular: (i) mapping vegetation, species distribution modeling and land use status and change; (ii) estimating environmental processes; (iii) developing landscape ecology metrics; (iv) assessing community biodiversity; and (v) estimating climatic parameters. The authors submitting their manuscript to this special issue of Remote Sensing are amongst the
Biological Conservation
"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier’s archiving and manuscript policies are encouraged to visit:
BIOGRAPHY OF PRESENTER
"... This study presents a new visualisation tool for classification of satellite imagery. Visualisation of feature space allows exploration of patterns in the image data and insight into the classification process and related uncertainty. Visual Data Mining provides added value to image classifications ..."
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This study presents a new visualisation tool for classification of satellite imagery. Visualisation of feature space allows exploration of patterns in the image data and insight into the classification process and related uncertainty. Visual Data Mining provides added value to image classifications as the user can be involved in the classification process providing increased confidence in and understanding of the results. In this study, we present a prototype visualisation tool for visual data mining (VDM) of satellite imagery. The visualisation tool is showcased in a classification study of high-resolution imagery of Heard Island.
Downloaded from
, 2007
"... The following resources related to this article are available online at ..."
Article Empirical Modelling of Vegetation Abundance from Airborne Hyperspectral Data for Upland Peatland Restoration Monitoring
, 2014
"... www.mdpi.com/journal/remotesensing ..."
