Next Article in Journal
Estimating Leaf Bulk Density Distribution in a Tree Canopy Using Terrestrial LiDAR and a Straightforward Calibration Procedure
Previous Article in Journal
Mapping Priorities to Focus Cropland Mapping Activities: Fitness Assessment of Existing Global, Regional and National Cropland Maps
Previous Article in Special Issue
Topo-Bathymetric LiDAR for Monitoring River Morphodynamics and Instream Habitats—A Case Study at the Pielach River
Article Menu

Export Article

Open AccessEditorial
Remote Sens. 2015, 7(6), 7987-7994; doi:10.3390/rs70607987

Remote Sensing and GIS for Habitat Quality Monitoring: New Approaches and Future Research

1
Balaton Limnological Institute, Centre for Ecological Research, Hungarian Academy of Sciences, Klebelsberg Kuno út 3, 8237 Tihany, Hungary
2
Research Groups Photogrammetry and Remote Sensing, Department of Geodesy and Geoinformation, Vienna University of Technology, Gußhausstraße 27-29, 1040 Vienna, Austria
3
Interdisciplinary Ecological Centre, Technische Universität Bergakademie Freiberg, Leipziger Str. 29, D-09596 Freiberg, Germany
4
Centre for Landscape and Climate Research, University of Leicester, Bennett Building, University Road, Leicester LE1 7RH, UK
5
Institute of Ecology and Botany, Centre for Ecological Research, Hungarian Academy of Sciences, Alkotmány u. 2-4, 2163 Vácrátót, Hungary
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Prasad S. Thenkabail
Received: 12 June 2015 / Accepted: 15 June 2015 / Published: 17 June 2015
(This article belongs to the Special Issue Remote Sensing and GIS for Habitat Quality Monitoring)
View Full-Text   |   Download PDF [649 KB, uploaded 17 June 2015]

Abstract

Habitat quality is the ability of the environment to provide conditions appropriate for individual and species persistence. Measuring or monitoring habitat quality requires complex integration of many properties of the ecosystem, where traditional terrestrial data collection methods have proven extremely time-demanding. Remote sensing has known potential to map various ecosystem properties, also allowing rigorous checking of accuracy and supporting standardized processing. Our Special Issue presents examples where remote sensing has been successfully used for habitat mapping, quantification of habitat quality parameters, or multi-parameter modelling of habitat quality itself. New frontiers such as bathymetric scanning, grassland vegetation classification and operational use were explored, various new ecological verification methods were introduced and integration with ongoing habitat conservation schemes was demonstrated. These studies show that remote sensing and Geoinformation Science for habitat quality analysis have evolved from isolated experimental studies to an active field of research with a dedicated community. It is expected that these new methods will substantially contribute to biodiversity conservation worldwide. View Full-Text
Keywords: remote sensing; habitat quality; biodiversity; nature conservation; Natura 2000 remote sensing; habitat quality; biodiversity; nature conservation; Natura 2000
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zlinszky, A.; Heilmeier, H.; Balzter, H.; Czúcz, B.; Pfeifer, N. Remote Sensing and GIS for Habitat Quality Monitoring: New Approaches and Future Research. Remote Sens. 2015, 7, 7987-7994.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top