Bringing Movement Ecologists and Remote Sensing Experts Together: Seeing the World through Each Other’s Eyes with rsMove

Post provided by RUBEN REMELGADO

“Man must rise above Earth to the top of the atmosphere and beyond, for only then will he fully understand the world in which he lives” – Socrates (469-399 BC)

Since the launch of the first Landsat mission in 1972, several new earth observation satellites made their way into Earth’s orbit. As of 2018, UNOOSA recorded an impressive 1980 active satellites. Of those, 661 were dedicated to earth observation. These numbers show how widespread the use of remote sensing technologies has become.

As space agencies recognised the scientific and economic value of satellite data, they made it open access. By doing so, they gave the scientific community the means to develop a growing variety of spatially explicit – and often temporally dynamic – data products on both the land and the atmosphere. Over the years, those of us studying movement ecology have greatly profited from it. Continue reading

Safeguarding Sturgeon: Satellite measurements of ocean color and temperature help researchers predict sturgeon locations

Below is a press release about the Methods paper ‘Dynamic seascapes predict the marine occurrence of an endangered species: Atlantic Sturgeon Acipenser oxyrinchus oxyrinchus‘ taken from the University of Delaware.

New clues are helping University of Delaware researchers develop an online map to help Mid-Atlantic fishermen avoid catching Atlantic sturgeon.

Researchers at the University of Delaware are one step closer to developing an online map that would help Mid-Atlantic fishermen avoid catching Atlantic sturgeon.

The research team, led by Matthew J. Oliver, Patricia and Charles Robertson Professor of Marine Science and Policy, found they could make useful predictions about sturgeon locations using satellite measurements of ocean color and temperature. They reported their findings Feb. 3 in the journal Methods in Ecology and Evolution.

The researchers believe this to be an important step toward helping both fishermen and the vulnerable fish. If they can reliably predict where sturgeon or other “species of concern” are congregating or migrating, they can relay this information to fishermen through a daily fishing forecast, similar to a weather forecast. Continue reading

In Defence of Satellite Data: The Perfect Companion to Ground-Based Research

Post provided by Dr Nathalie Pettorelli

Nathalie is an Institute Research Fellow at the Zoological Society of London. She heads the Environmental Monitoring and Conservation Modelling (EMCM) team and her main research involves assessing and predicting the impacts of global environmental change on biodiversity and ecosystem services. Nathalie was one of the presenters at the UK half of the Methods in Ecology and Evolution 5th Anniversary Symposium in April. You can watch her talk, ‘Harnessing the Potential of Satellite Remote Research’ here.

If there is one question I hear over and over again, it’s this: “why, oh why, do you use satellite data instead of ground-based data in your research?” People seem to think that I believe satellite data are better than ground-based data. Do I not value fieldwork? Do I not trust ground-based data? My answer to all of this is: you’ll never catch me preaching that satellite remote sensing can solve the entire data collection gap in ecological monitoring.

I use satellite data because a lot of my work happens at relatively large spatial and temporal scales, targets regions where ground-based data are simply unavailable or extremely difficult to gather and relies on being able to access data that have been collected in a systematic and scalable manner.

Yes, satellite-based techniques can address spatial and temporal domains inaccessible to traditional, on-the-ground, approaches, but I am the first to acknowledge that satellite remote sensing cannot match the accuracy, precision and thematic richness of in-situ measurement and monitoring.

©Clare Duncan

The New Generation of Ecologists in Action: Clare Duncan conducting field measurements in the Philippines to be combined with satellite remote sensing information to monitor ecosystem services delivery. ©Clare Duncan

In spite of this, data collected on the ground are currently difficult to use for mapping and predicting regional or global changes in the spatio-temporal distribution of biodiversity (a problem for those of us trying to tackle these kinds of issues). Ground-based data can also be expensive and tend to come from a single annual time period. This makes it difficult to gather information on temporal changes and phenology. Continue reading