practitioners. Then, Chapter 2 follows up with some
essential details of remote sensing, including its
development history, basic concepts, and functional
mechanisms. Because one major barrier to the appli-
cation of remote sensing lies in data accessibility,
Chapter 2 tries to summarize key remote sensing data
products (including raw data and higher-level prod-
ucts) and web sources.
The second part contains six case-study chap-
ters and is the highlight of Satellite Remote Sensing for
Conservation Action. The six case studies cover both
aquatic and terrestrial ecosystems from aroun d the
world. The first case study illustrates the role that
satellite remote sensing has played in the conservation
of East Asia’s coastal wetlands, specifically the tidal
flats in the Yellow Sea. A practical method was
developed to achieve consist ent time-series maps of
the tidal flats, using the 30-m resolution, free Landsat
remote sensing data archive. The second case study
documents the quantification of the quality and loss of
chimpanzee forest habitat in Africa. Satellite remote
sensing data delivered at different levels of processing
were used, such as Landsat ETM? band 5 and
Landsat-derived per cent canopy cover. The third case
study demonstrates the usefulness of satellite remote
sensing for fire monitoring in African protected areas.
Two satellite remote sensing-based tools were devel-
oped for incorporating the monitoring information
into fire management. The fourth case study proposes
a satellite remote sensing-based solution for monitor-
ing and assessing ecosystem functioning, such as the
dynamics of primary productivity and water fluxes.
The solution was successfully applied to the Don
˜
ana
National Park of Spain. The fifth case study introduces
a novel system in the Idaho Department of Fish and
Game, a wildlife management agency, for predicting
mule deer harvests at a regional scale. The prediction
is performed in real time by using satellite remote
sensing information on environmental and climate
conditions. The last case study reports a near-real-time
tool for predicting blue whale occurrence and densities
based on satellite telemetry data for blue whales and
some selected environmental variables such as sea
surface temperature and height. All the selected
environmental variables have ecological links to blue
whales and were derived from satellite remote sensing
images.
The third part (i.e., Chapters 9–10) provides some
case study-independent and case study-dependent
perspectives on satellite remote sensing for conserva-
tion action. Chapter 9 reviews the use of satellite
remote sensing by conservation organizations, espe-
cially Conservation International, and discusse s the
recent challenges and future opportunities of conser-
vation remote sensing. By contras t, Chapter 10 is a
case study-dependent discussion. It summaries the six
case studies of the book, highlighting their common
themes, lessons learned, and implications for the
future.
The distinctive feature of the book is the emphasis
on exemplary practices and lessons learned. As can be
seen from the book’ structure, the six case studies form
its core. In each case study, the authors p resent not
only their conservation problem and scientific meth-
ods but also technological practices and lessons
learned. The practices and lessons are often absent
from scientific journal and conference papers, but they
are significantly important in practically applying
remote sensing for conservatio n action. The lessons
can also be found in the last chapter, which were
learned by the editor s from the case studies. All these
facts make the book complementary to scientific
journal and conference papers.
The book demonstrates the great and still-increas-
ing importance of remote sensing for biological
conservation. Indeed, biodiversity can be better
investigated by using remote sensing (Rocchini et al.
2018), and there are at least ten ways remote sensing
can contribute to conservation (Rose et al. 2015).
However, it should be pointed out that remote sensing
is not limited to spaceborne, namely the satellite
remote sensing illustrated in the book. Remote sensing
can also be airborne or ground-based, such as Light
Detection and Ranging (LiDAR). In some biodiversity
conservation cases, airborne or ground-based remote
sensing may be more applicable because the sensed
data have a higher spatial resolution than that of
satellite (i.e., spaceborne) remote sensing (e.g., Getzin
et al. 2017). This resolution issue is also the reason
why a chapter author of the book found it impossible to
determine the local factors affecting ecosystem
resilience using only satellite remote sensing obser-
vations (p. 182).
Overall, Satellite Remote Sensing for Conservation
Action is a timely, instructive, and stimulating book on
biodiversity conservation practices. The book is of
great use to landscape ecologists in general and
conservation practitioners in particular. The only
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