Remote sensing enabled essential biodiversity variables for biodiversity assessment and monitoring: technological advancement and potentials

被引:0
作者
C. Sudhakar Reddy
Ayushi Kurian
Gaurav Srivastava
Jayant Singhal
A. O. Varghese
Hitendra Padalia
N. Ayyappan
G. Rajashekar
C. S. Jha
P. V. N. Rao
机构
[1] Indian Space Research Organisation,National Remote Sensing Centre
[2] French Institute of Pondicherry,Department of Ecology
[3] Regional Remote Sensing Centre-Central,Forestry and Ecology Department
[4] Indian Institute of Remote Sensing,undefined
来源
Biodiversity and Conservation | 2021年 / 30卷
关键词
Earth observation; Scale; Structure; Composition; Function;
D O I
暂无
中图分类号
学科分类号
摘要
The strong contribution of remote sensing has led to the development of the concept of the Remote Sensing enabled Essential Biodiversity Variables which represents a set of variables that can be monitored from space. This work synthesizes current state of research and technological development in use of remote sensing enabled essential biodiversity variables. The issue of scale, satellite observation requirements and status of remote sensing have been discussed in the context of monitoring of community composition, plant functional types, vegetation structure, canopy diversity, targeted animal groups, fragmentation, disturbances and as an input for biodiversity modelling, and Earth Observations based variables. This work highlighted existing approaches for addressing community level biodiversity and discusses in the context of Earth Observations as which are key components for biodiversity monitoring strategy. Biodiversity monitoring could be improved by using new satellite sensors and the synergy of remotely sensed data from multiple sensors which are providing hyperspatial, hyperspectral and hypertemporal observations. The use of remote sensing for operational monitoring of biodiversity is still under development as existing approaches and techniques have not holistically addressed the metrics of essential biodiversity variables.
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页码:1 / 14
页数:13
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