Reprint

Remote Sensing Applications in Monitoring of Protected Areas

Edited by
July 2020
280 pages
  • ISBN978-3-03936-368-1 (Hardback)
  • ISBN978-3-03936-369-8 (PDF)

This book is a reprint of the Special Issue Remote Sensing Applications in Monitoring of Protected Areas that was published in

Engineering
Environmental & Earth Sciences
Summary

Remote sensing has been successfully applied in monitoring of protected areas around the world. With intensified impacts of climate and environmental change, protected areas become increasingly important to serve as indicators of and buffers against the impacts of the disturbances. Remote sensing plays an irreplaceable role in this frontline of challenges. The subjects and contents of the articles collected in this book reflect the state-of-the-art applications of remote sensing for capturing dynamics of environmental and ecological variations of the protected areas. The examples include revealing the level, growth rate, trend, and distribution pattern of the night-time light of global protected areas; quantifying the energy budget, water cycle, and carbon sink over the Three-River Headwaters Region in the hinterland of the Tibetan Plateau; monitoring wetland change in a cross-boundary zone between Northeast China and the Russian Far East; and monitoring applications and change analyses in protected areas of boreal forests, dryland shrubs, coastal salt marshes, large lakes, and temperate semi-humid to semi-arid transitional agricultural regions, using a variety of sensor data with innovative approaches. Also included in this collection is a bibliometric analysis that suggests the intellectual structure in remote sensing of protected areas from the perspective of journal publications.

Format
  • Hardback
License
© 2020 by the authors; CC BY-NC-ND license
Keywords
forest recovery; resilience; leaf area index; tree sapling abundance; burn severity; boreal forests; WorldView-2; Salt marsh; change analysis; Worldview-2; Worldview-3; NAIP aerial data; Topobathymetric LiDAR; Fire Island National Seashore; terrestrial biophysical variables; Three-River Headwaters Region of China; spatiotemporal dynamics; climate change; vegetation index; evapotranspiration; carbon use efficiency; Phenology; climate factors; MODIS GPP/NPP; Songnen Plain; cross-boundary protected area; rule-based object-oriented classification; wetland dynamics; Wusuli River Basin; rate of change; arid zones; drylands; object-based; seawater intrusion; soil loss; time series classification; very high-resolution images; Ziziphus lotus; Cabo de Gata-Níjar Natural Park; Southeast Spain; Protected areas; Night-time light; Global lightscape assessment; Human disturbance; forest parameter mapping; forest condition assessment; sentinel series; ALOS series; changbai mountain national nature reserve; object-based; random forest; landslide susceptibility; conditioning factors; natural triggering factors; anthropogenic triggering factors; protected forest; non-protected forest; multi-source remote sensing data; drought index; trend analysis; MODIS; TMPA; chlorophyll-a concentration; total suspended matter concentration; retrieval methods; GF-1 satellite data; field-measured water spectra; Poyang Lake; remote sensing; protected areas; bibliometric analysis; VOSviewer; protected areas (PAs); biodiversity conservation; spatiotemporal dynamics; climate change; human disturbances; management and governance