6
In the final section, Richard Lucas and Anthea Mitchell presents an overview of
the Earth Observation Data for Ecosystem Monitoring (EODESM) system which
was developed through two European-funded projects (BIO_SOS and
ECOPTENTIAL). This system facilitates the integration of a diverse range of
remote sensing observations and derived products, ancillary spatial datasets and
field data to classify land covers and habitats using consistent taxonomies and provide evidence-based assessments of change. The book is closed with a short epilogue on what are the most likely innovations in remote sensing that will be available
in the foreseeable future for nature conservation and management.
The Feeling of Managers: A Survey
We, the authors, are engaged in several activities involving information exchange
with conservation managers, either at local, regional, national or international level.
These include workshops, seminars, training lectures and participatory meetings
and so on. In the preparation of the 2016 workshop on the application and potential
of remote sensing in nature conservation management, a survey was prepared to
review the awareness of conservation managers of remote sensing applications and
their experiences of working with data and derived information. Twenty of the
workshop participants provided a response to the survey, with these being either
managers or technicians working in protected areas although several few scientists
involved in research projects within protected areas were also present. This sample
size was too small and hence we would like to keep the exercise open to invite views
from others involved in remote sensing for nature conservation. The survey can
therefore be accessed at https://goo.gl/GqC63f and we will endeavour to write up
the outcomes as a journal article in the near future.
Below, we have listed the questions together with the answers and the percent
assigned to each one by the respondents, although these are available on the survey
website:
1. Have you ever used remote sensing in your day-to-day work? (exclusive answer)
(a) Yes (90%)
(b) No
(c) I don’t know (10%)
2. In such a case, for what purpose? (not exclusive answer)
(a) Data source for management planning (63%)
(b) Data source for decision-making (54%)
(c) Data source for monitoring of management actions (36%)
(d) Data source for measuring the extent of disturbances or extreme events such
as wildfires, invasive species spread, pollution, etc. (45%)
R. Díaz-Delgado et al.
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