Free and open-access satellite data are key to biodiversity conservation
By Woody Turner, C. Rondinini, Nathalie Pettorelli, B. Mora, Allison K. Leidner, Z. Szantoi, G. Buchanan, S. Dech, John L. Dwyer, Martin Herold and 6 more. 2015
365 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/b4fdb6ba13a941cefa0e57c6918644232e31a3a0
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
- Miranda C. Jones
- J. Pearce‐Higgins
- Rocío Márquez‐Ferrando
- N. Burgess
- Nathalie Pettorelli
- Andrew K. Skidmore
- Richard A. Fuller
- T. Piersma
In Ecology
- J. Pearce‐Higgins
- J. Belnap
- Miranda C. Jones
- N. Burgess
- P. Bocher
- Matamyo Simwanda
- Nathalie Pettorelli
- Darius Phiri
In Global and Planetary Change
- J. Belnap
- Miranda C. Jones
- J. Pearce‐Higgins
- N. Burgess
- P. Bocher
- Darius Phiri
- P. Haase
- Richard A. Fuller
Citations in the corpus
- A global threats overview for Numeniini populations: synthesising expert knowledge for a group of declining migratory birds (2017, background): “The open availability of satellite imagery provides valuable opportunities to identify environmental change across extensive breeding areas (Turner et al. 2015).”
- Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets (2015, background): “A number of potential obstacles pose a challenge to the further development and deployment of EO for biodiversity conservation such as data continuity, data affordability and data access (Turner et al. 2015).”
- Building capacity in biodiversity monitoring at the global scale (2017, background): “More importantly, training in the technical knowledge necessary to make use of remote sensing data is hampering the accessibility of remote sensing data (Turner et al. 2015).”
- Developments in Landsat Land Cover Classification Methods: A Review (2017, methodology): “The long archive period of Landsat images offers researchers a chance to gain insights into past trends which are important when monitoring land cover changes [4,14].”
- Sentinel-2 Data for Land Cover/Use Mapping: A Review (2020, background): “[6] indicated that free and open access data contributes to the increasing applications of remotely sensed data.”