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From local spectral species to global spectral communities: a benchmark for ecosystem diversity estimate by remote sensing [article]

Duccio Rocchini, Nicole Salvatori, Carl Beierkuhnlein, Alessandro Chiarucci, Florian de Boissieu, Michael Foerster, Carol X. Garzon-Lopez, Thomas W. Gillespie, Heidi C. Hauffe, Kate S. He, Birgit Kleinschmit, Jonathan Lenoir (+8 others)
2020 bioRxiv   pre-print
Obviously, in this case, a spectral species identified by MODIS is not associated to a single plant species in the field but rather to a species assemblage, habitat, or ecosystem.  ...  With the use of high resolution remote sensing data, on a local scale, these subspaces can be identified as separate spectral entities, the so called "spectral species".  ...  233 Among the most novel methods to estimate diversity by remote sensing, As far as we know, the spectral species concept has been applied so far 256 only at the local scale (Féret and Asner, 2014  ... 
doi:10.1101/2020.11.04.367995 fatcat:xokfc3qso5e7dohtgj7s5t6z6e

Measuring diversity from space: a global view of the free and open source rasterdiv R package under a coding perspective

Elisa Thouverai, Matteo Marcantonio, Giovanni Bacaro, Daniele Da Re, Martina Iannacito, Elisa Marchetto, Carlo Ricotta, Clara Tattoni, Saverio Vicario, Duccio Rocchini
2021 Community Ecology  
In this paper, we present a new package - - to calculate diversity indices based on remotely sensed data, by discussing the theory behind the developed algorithms.  ...  However, measuring species diversity over large areas might be difficult for logistic reasons related to both time and cost savings for sampling, as well as accessibility of remote ecosystems.  ...  DR was partially supported by the H2020 Project SHOWCASE (Grant agreement No862480) and by the H2020 COST Action CA17134 'Optical synergies for spatiotemporal sensing of scalable ecophysiological traits  ... 
doi:10.1007/s42974-021-00042-x fatcat:oqkbyllgqbglbix7lbvxwjjlui

Remote Sensing of Ecosystem Health: Opportunities, Challenges, and Future Perspectives

Zhaoqin Li, Dandan Xu, Xulin Guo
2014 Sensors  
in health indicators estimated from remote sensing data.  ...  This paper reviews opportunities of remote sensing, including optical, radar, and LiDAR, for directly estimating indicators of the three ecosystem attributes, discusses the main challenges to develop a  ...  Acknowledgments The constructive comments from the anonymous reviewers are acknowledged.  ... 
doi:10.3390/s141121117 pmid:25386759 pmcid:PMC4279526 fatcat:fxqiulthzrfbneml4ubk7q3iv4

BII-Implementation: The causes and consequences of plant biodiversity across scales in a rapidly changing world

Jeannine Cavender-Bares, Peter Reich, Philip Townsend, Arindam Banerjee, Ethan Butler, Ankur Desai, Amanda Gevens, Sarah Hobbie, Forest Isbell, Etienne Laliberté, José Eduardo Meireles, Holly Menninger (+11 others)
2021 Research Ideas and Outcomes  
the causes and consequences of plant biodiversity across scales in a rapidly changing world—from genes and molecules within cells and tissues to communities, ecosystems, landscapes and the biosphere.  ...  and among biological scales drives plant and ecosystem responses to global change over diurnal, seasonal and millennial time scales.  ...  Plant community mapping and remote sensing will be conducted as in BioCON. Forest diversity and global change experiments.  ... 
doi:10.3897/rio.7.e63850 fatcat:ibbeu6i4d5baxoiyaczmja53bm

Time-lapsing biodiversity: An open source method for measuring diversity changes by remote sensing

Duccio Rocchini, Matteo Marcantonio, Daniele Da Re, Gherardo Chirici, Marta Galluzzi, Jonathan Lenoir, Carlo Ricotta, Michele Torresani, Guy Ziv
2019 Remote Sensing of Environment  
to estimate 311 the temporal ecosystems' beta-diversity based on a locally weighted scat-312 terplot smoothing.  ...  Remote sensing 228 certainly represents a powerful tool for getting estimated diversity values 229 in a 2D surface.  ...  We will apply such indices to the input image (matrix) I with the highest 717 diversity ( Figure 1D ). The calculation can then be translated to any matrix.  ... 
doi:10.1016/j.rse.2019.05.011 fatcat:rhtfz4lssfdjfben6fjayx6274

Remote Sensing of Mangroves and Estuarine Communities in Central Queensland, Australia

Debbie Chamberlain, Stuart Phinn, Hugh Possingham
2020 Remote Sensing  
With the use of remote sensing datasets covering large areas, conventional methods of change detection can expose broad transitions, whereas workflows that excerpt data for time-series trends divulge more  ...  Our research contributes to the body of knowledge on coastal ecosystem dynamics to enable planning to achieve more effective conservation outcomes.  ...  to longer time series of image archives and their derived products and (2) more easily accessed tools for using remote sensing data and their products to monitor change from local to global scales.  ... 
doi:10.3390/rs12010197 fatcat:ysqizuliorcwfaaxoffkey5eby

Remote sensing based indicators of vegetation species for assessing rangeland degradation: Opportunities and challenges

Khalid Mansour,
2012 African Journal of Agricultural Research  
Remote sensing technology is a tool for mapping and monitoring vegetation species and it provides timely and relatively accurate information concerning degradation in biological rangeland resources.  ...  mapping and monitoring rangeland degradation based on the abundance and distribution of vegetation species and algorithms used to process remotely sensed data when classifying these species.  ...  INTRODUCTION Rangeland is an important natural ecosystem that offers a habitat for wildlife, grazing areas for domestic stock, and goods for local communities (Kawanabe et al., 1998) .  ... 
doi:10.5897/ajarx11.2316 fatcat:3uoslq2knva7vkzdttna4uqyya

Measuring diversity from space: a global view of the free and open source rasterdiv R package under a coding perspective [article]

Elisa Thouverai, Matteo Marcantonio, Giovanni Bacaro, Daniele Da Re, Martina Iannacito, Carlo Ricotta, Clara Tattoni, Saverio Vicario, Duccio Rocchini
2020 biorxiv/medrxiv   pre-print
However, measuring species diversity over large areas might be difficult for logistic reasons related to both time and cost savings for sampling, as well as accessibility of remote ecosystems.  ...  In this paper, we present a new R package - rasterdiv - to calculate diversity indices based on remotely sensed data, by discussing the theory beyond the developed algorithms.  ...  DR was partially supported by the H2020 Project SHOWCASE (Grant agreement No862480) and by the H2020 COST Action CA17134 'Optical synergies for spatiotemporal sensing of scalable ecophysiological traits  ... 
doi:10.1101/2020.11.14.369371 fatcat:rpklu7kot5hx3kykexiqaihcuq

Geospatial Tools for the Large-Scale Monitoring of Wetlands in the San Francisco Estuary: Opportunities and Challenges

Sophie Taddeo, Iryna Dronova
2019 San Francisco Estuary and Watershed Science  
We are grateful for the comments made by two anonymous reviewers, which greatly improved the manuscript.  ...  The authors thank Isabel Sablan Johnson and Alexis Andrea Bernal for their help with preliminary assessments.  ...  It is much easier to use remote sensing data to distinguish plant functional types compared to a single species-unless that species presents phenological characteristics or a spectral signature that is  ... 
doi:10.15447/sfews.2019v17iss2art2 fatcat:ko3jwvgrwfgmzb347kl27xdshq

Mountain Observatories: Status and Prospects for Enhancing and Connecting a Global Community

Maria Shahgedanova, Carolina Adler, Aster Gebrekirstos, H. Ricardo Grau, Christian Huggel, Robert Marchant, Nicholas Pepin, Veerle Vanacker, Daniel Viviroli, Mathias Vuille
2021 Mountain Research and Development  
in situ or using remote sensing) available to and widely used by the academic and stakeholder communities.  ...  Increasing role of remote sensing in addressing limitations: Remote sensing in general, and remote sensing from space in particular, helps to alleviate logistical challenges of highelevation monitoring  ... 
doi:10.1659/mrd-journal-d-20-00054.1 fatcat:t3zlyfaw3bhmfpbbwmvz4mmd2i

Indicators for biodiversity and ecosystem services: towards an improved framework for ecosystems assessment

Christian K. Feld, José Paulo Sousa, Pedro Martins da Silva, Terence P. Dawson
2010 Biodiversity and Conservation  
of benchmarks/reference values, availability of data and protocols, and applicability of remote sensing.  ...  and transparent in order to enable an easy communication, and (iii) fit for the purpose of indication.  ...  RUBICODE is endorsed by the Global Land Project of the IGBP.  ... 
doi:10.1007/s10531-010-9875-0 fatcat:yhp4lz6aejejbpfxhfwhu2d5j4

rasterdiv ‐ an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back

Duccio Rocchini, Elisa Thouverai, Matteo Marcantonio, Martina Iannacito, Daniele Da Re, Michele Torresani, Giovanni Bacaro, Manuele Bazzichetto, Alessandra Bernardi, Giles M. Foody, Reinhard Furrer, David Kleijn (+23 others)
2021 Methods in Ecology and Evolution  
In this paper, we present a new R package-rasterdiv-to calculate heterogeneity indices based on remotely sensed data. We also provide an ecological application  ...  Ecosystem heterogeneity has been widely recognized as a key ecological feature, influencing several ecological functions, like diversity patterns and change, metapopulation dynamics, population connectivity  ...  Future local and global changes are expected to impact ecosystem heterogeneity.  ... 
doi:10.1111/2041-210x.13583 fatcat:lxdvwvghojeo7h7ga4e4itu53i

Inferring Species Richness and Turnover by Statistical Multiresolution Texture Analysis of Satellite Imagery

Matteo Convertino, Rami S. Mangoubi, Igor Linkov, Nathan C. Lowry, Mukund Desai, Kimberly Patraw Van Niel
2012 PLoS ONE  
The quantification of species-richness and species-turnover is essential to effective monitoring of ecosystems.  ...  Species turnover, or b diversity, is estimated using both this KL divergence and the difference in Shannon entropy.  ...  Andy LoSchiavo (Jacksonville District, US Army Corps of Engineering) is gratefully acknowledged for providing comments to the paper.  ... 
doi:10.1371/journal.pone.0046616 pmid:23115629 pmcid:PMC3480366 fatcat:76jp5k7sprda7p7maayt455orm

A Particle Swarm Optimization Based Approach to Pre-tune Programmable Hyperspectral Sensors

Bikram Pratap Banerjee, Simit Raval
2021 Remote Sensing  
The optimal set of bands were found to suitably capture the spectral variations between target vegetation species and communities.  ...  The metaheuristic method was tested on an experimental site with diversity in vegetation species and communities.  ...  Remote Sens. 2021, 13, 3295  ... 
doi:10.3390/rs13163295 fatcat:3idralhpavhjnn6qte3fi3tqpa

Leveraging the NEON Airborne Observation Platform for socio‐environmental systems research

Elsa M. Ordway, Andrew J. Elmore, Sonja Kolstoe, John E. Quinn, Rachel Swanwick, Megan Cattau, Dylan Taillie, Steven M. Guinn, K. Dana Chadwick, Jeff W. Atkins, Rachael E. Blake, Melissa Chapman (+22 others)
2021 Ecosphere  
The coordinated, nationwide AOP remote sensing data, collected annually over the next 30 yr, offer exciting opportunities for cross-site analyses and comparison, upscaling metrics derived from LiDAR and  ...  community to improve and expand its use of this platform for SES research.  ...  The AOP offers a critical resource for ecosystem science, enabling novel measurements (Table 1 ), ecosystem model parameterization and benchmarking, and remote sensing tutorials for using cutting-edge  ... 
doi:10.1002/ecs2.3640 fatcat:p6gy4uhqcjgrzdmo6lkalmiv5a
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