The Value of Earth Observations: Methods and Findings on the Value of Landsat Imagery

Miller, Holly M.; Serbina, Larisa O.; Richardson, Leslie; Ryker, Sarah J.; Newman, T. J.

doi:10.1007/978-3-319-20161-0_14

Cited by 1 publication

(2 citation statements)

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“…That is, our work to increase access to the elusive broad‐extent/fine‐grain observational domain with a mental model and an open workflow is an important but incomplete effort toward accessible macroecology. Illustrating this point, the reduced cost of Landsat images brought more researchers into the user base from lower resourced institutions and underrepresented parts of the world to do more topically diverse science (Nagaraj et al, 2020), but some barriers to access still exist (Miller et al, 2016). For instance, three quarters of users are men, and 65% of users are academic researchers (Miller et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Illustrating this point, the reduced cost of Landsat images brought more researchers into the user base from lower resourced institutions and underrepresented parts of the world to do more topically diverse science (Nagaraj et al, 2020), but some barriers to access still exist (Miller et al, 2016). For instance, three quarters of users are men, and 65% of users are academic researchers (Miller et al, 2016). The Landsat archive was undeniably made more accessible to the collective benefit of science and society (Miller, 2016; Nagaraj et al, 2020), but even broader access (and therefore greater value; Miller, 2016) is possible.…”

Section: Discussionmentioning

confidence: 99%

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Democratizing macroecology: Integrating unoccupied aerial systems with the National Ecological Observatory Network

et al. 2022

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Macroecology research seeks to understand ecological phenomena with causes and consequences that accumulate, interact, and emerge across scales spanning several orders of magnitude. Broad-extent, fine-grain information (i.e., high spatial resolution data over large areas) is needed to adequately capture these cross-scale phenomena, but these data have historically been costly to acquire and process.Unoccupied aerial systems (UAS or drones carrying a sensor payload) and the National Ecological Observatory Network (NEON) make the broad-extent, fine-grain observational domain more accessible to researchers by lowering costs and reducing the need for highly specialized equipment. Integration of these tools can further democratize macroecological research, as their strengths and weaknesses are complementary. However, using these tools for macroecology can be challenging because mental models are lacking, thus requiring large up-front investments in time, energy, and creativity to become proficient. This challenge inspired a working group of UAS-using academic ecologists, NEON professionals, imaging scientists, remote sensing specialists, and aeronautical engineers at the 2019 NEON Science Summit in Boulder, Colorado, to synthesize current knowledge on how to use UAS with NEON in a mental model for an intended audience of ecologists new to these tools. Specifically, we provide (1) a collection of core principles for collecting high-quality UAS data for NEON integration and (2) a case study illustrating a sample workflow for processing UAS data into meaningful ecological information and integrating it with NEON data collected on the groundwith the Terrestrial Observation System-and remotely-from the Airborne Observation Platform. With this mental model, we advance the democratization of macroecology by making a key observational domain-the broad-extent, fine-grain domain-more accessible via NEON/UAS integration.

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Section: Discussionmentioning

confidence: 99%