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Satellite remote sensing for applied ecologists: opportunities and challenges

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TLDR
An interdisciplinary perspective on the prospects of satellite remote sensing (SRS) for ecological applications is provided, reviewing established avenues and highlighting new research and technological developments that have a high potential to make a difference in environmental management.
Abstract
1. Habitat loss and degradation, overexploitation, climate change and the spread of invasive species are drastically depleting the Earth's biological diversity, leading to detrimental impacts on ecosystem services and human well-being. 2. Our ability to monitor the state of biodiversity and the impacts of global environmental change on this natural capital is fundamental to designing effective adaptation and mitigation strategies for preventing further loss of biological diversity. This requires the scientific community to assess spatio-temporal changes in the distribution of abiotic conditions (e.g. temperature, rainfall) and in the distribution, structure, composition and functioning of ecosystems. 3. The potential for satellite remote sensing (SRS) to provide key data has been highlighted by many researchers, with SRS offering repeatable, standardized and verifiable information on long-term trends in biodiversity indicators. SRS permits one to address questions on scales inaccessible to ground-based methods alone, facilitating the development of an integrated approach to natural resource management, where biodiversity, pressures to biodiversity and consequences of management decisions can all be monitored. 4. Synthesis and applications. Here, we provide an interdisciplinary perspective on the prospects of satellite remote sensing (SRS) for ecological applications, reviewing established avenues and highlighting new research and technological developments that have a high potential to make a difference in environmental management. We also discuss current barriers to the ecological application of SRS-based approaches and identify possible ways to overcome some of these limitations.

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Citations
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Journal ArticleDOI

Biodiversity redistribution under climate change: impacts on ecosystems and human well-being

Gretta T. Pecl, +47 more
- 31 Mar 2017 - 
TL;DR: The negative effects of climate change cannot be adequately anticipated or prepared for unless species responses are explicitly included in decision-making and global strategic frameworks, and feedbacks on climate itself are documented.
Journal ArticleDOI

Biodiversity hotspots: A shortcut for a more complicated concept

TL;DR: The area-based approach can be applied to any geographical scale and it is considered to be one of the best approaches for maintaining a large proportion of the world's biological diversity as discussed by the authors.
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Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions

TL;DR: This review paper investigates literature on current spatiotemporal data fusion methods, categorizes existing methods, discusses the principal laws underlying these methods, summarizes their potential applications, and proposes possible directions for future studies in this field.
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A survival guide to Landsat preprocessing.

TL;DR: This work provides a concise overview of the Landsat missions and sensors and recommends a parsimonious approach to Landsat preprocessing that avoids unnecessary steps and recommend approaches and data products that are well tested, easily available, and sufficiently documented.
Journal ArticleDOI

Will remote sensing shape the next generation of species distribution models

TL;DR: In this article, the authors demonstrate how modern sensors onboard satellites, planes and unmanned aerial vehicles are revolutionizing the way we can detect and monitor both plant and animal species in terrestrial and aquatic ecosystems as well as allowing the emergence of novel predictor variables appropriate for species distribution modeling.
References
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Journal ArticleDOI

Support vector machines in remote sensing: A review

TL;DR: This paper reviews remote sensing implementations of support vector machines (SVMs), a promising machine learning methodology that is particularly appealing in the remote sensing field due to their ability to generalize well even with limited training samples.
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Status and distribution of mangrove forests of the world using earth observation satellite data

TL;DR: In this article, the status and distribution of global mangroves using recently available Global Land Survey (GLS) data and the Landsat archive was mapped using hybrid supervised and unsupervised digital image classification techniques.
Journal ArticleDOI

A movement ecology paradigm for unifying organismal movement research

TL;DR: A conceptual framework depicting the interplay among four basic mechanistic components of organismal movement is introduced, providing a basis for hypothesis generation and a vehicle facilitating the understanding of the causes, mechanisms, and spatiotemporal patterns of movement and their role in various ecological and evolutionary processes.
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Benchmark map of forest carbon stocks in tropical regions across three continents.

TL;DR: A “benchmark” map of biomass carbon stocks over 2.5 billion ha of forests on three continents, encompassing all tropical forests, for the early 2000s is presented, which will be invaluable for REDD assessments at both project and national scales.
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