Satellite remote sensing for applied ecologists: opportunities and challenges
By Nathalie Pettorelli, W. Laurance, T. O'Brien, Martin Wegmann, Harini Nagendra, Woody Turner. 2014
604 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/4f8a42bcd2c1c7c8a667ce4d934ef8eae5bf8172
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- Miguel B. Araújo
- Jorge M. Lobo
- Jane Elith
- Wilfried Thuiller
- Simon Ferrier
- R. A. Garcia
- Antoine Guisan
- Duccio Rocchini
In Ecology
- Miguel B. Araújo
- Wilfried Thuiller
- Jorge M. Lobo
- Simon Ferrier
- R. A. Garcia
- Philip Stephens
- N. Brummitt
- Jane Elith
In Global and Planetary Change
- Simon Ferrier
- R. A. Garcia
- Philip Stephens
- Miguel B. Araújo
- G. Pecl
- J. Belnap
- Miranda C. Jones
- S. Williams
Citations in the corpus
- Management by proxy?:the use of indices in applied ecology (2015, background): “…management, for example, common proxies include measures assumed to capture the conservation status of species, as well as measures assumed to provide information on ecosystems’ distribution, structure, functioning and service delivery (Mace et al. 2008; Ayanu et al. 2012; Pettorelli et al. 2014).”
- Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being (2017, positive): “As range shifts continue to unfold, there will be opportunities to refine our understanding of the process, but taking advantage of these opportunities requires access to consistent, high-quality, nearreal-time data on a series of environmental and biological parameters (97).”
- Building capacity in biodiversity monitoring at the global scale (2017, background): “…R, QGIS and GRASS), the frequent lack of clear documentation, the partial absence of a graphical user interface, and the need to be technically versed at the interface of the two disciplines (Pettorelli et al. 2014b), mean that remote sensing is currently aimed mostly at highly trained specialists.”
- Ecological connectivity research in urban areas (2015, background): “…future papers provide quantified metrics for their study areas such as percent impervious surfaces, road density, canopy cover and human population density, from data that are increasingly becoming freely available and at high spatial resolutions (Hahs & McDonnell 2006; Pettorelli et al. 2014).”
- Will remote sensing shape the next generation of species distribution models? (2015, methodology): “Lastly, accessibility to free remote sensing data with global coverage can be challenging and this is particularly true in developing countries where data processing, storage and sharing are still hampered by information technology and archiving capability (Pettorelli et al. 2014b).”
- Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions (2018, background): “Fortunately, many studies suggest that satellite images, in particular images generated by spatiotemporal data fusion, have a great potential for ecological applications [14,91,92], such as, ecological variables estimation (e.”
- Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets (2015, neutral): “…for inter-disciplinary collaboration The diverse but not mutually exclusive expertise of remote sensing and biodiversity conservation scientists have been separated, most notably in different university departments, preventing cross -fertilization of ideas and interests (Pettorelli et al. 2014).”
- How do you find the green sheep? A critical review of the use of remotely sensed imagery to detect and count animals (2018, background): “It also provides a permanent record of study sites at an instant in time, is unobtrusive, and requires less human intervention (Pettorelli et al., 2014; Terletzky & Ramsey, 2016; Yang et al., 2014).”
- A survival guide to Landsat preprocessing. (2017, background): “Determining the appropriate level of preprocessing is a significant barrier to non- remote sensing scientists who lack expertise in the numerous and constantly changing techniques necessary to preprocess these data (Pettorelli et al. 2014).”