Satellite remote sensing for applied ecologists: opportunities and challenges
N Pettorelli, WF Laurance, TG O'Brien… - Journal of Applied …, 2014 - Wiley Online Library
Habitat loss and degradation, overexploitation, climate change and the spread of invasive
species are drastically depleting the Earth's biological diversity, leading to detrimental …
species are drastically depleting the Earth's biological diversity, leading to detrimental …
Using the satellite-derived NDVI to assess ecological responses to environmental change
Assessing how environmental changes affect the distribution and dynamics of vegetation
and animal populations is becoming increasingly important for terrestrial ecologists to …
and animal populations is becoming increasingly important for terrestrial ecologists to …
[图书][B] The normalized difference vegetation index
N Pettorelli - 2013 - books.google.com
There has been a recent surge of interest in remote sensing and its use in ecology and
conservation but this is the first book to focus explicitly on the NDVI (Normalised Difference …
conservation but this is the first book to focus explicitly on the NDVI (Normalised Difference …
Fire models and methods to map fuel types: The role of remote sensing
Understanding fire is essential to improving forest management strategies. More specifically,
an accurate knowledge of the spatial distribution of fuels is critical when analyzing …
an accurate knowledge of the spatial distribution of fuels is critical when analyzing …
Fire risk evaluation using multicriteria analysis—a case study
KP Vadrevu, A Eaturu, KVS Badarinath - Environmental monitoring and …, 2010 - Springer
Forest fires are one of the major causes of ecological disturbance and environmental
concerns in tropical deciduous forests of south India. In this study, we use fuzzy set theory …
concerns in tropical deciduous forests of south India. In this study, we use fuzzy set theory …
The impact of gridding artifacts on the local spatial properties of MODIS data: Implications for validation, compositing, and band-to-band registration across resolutions
Gridding artifacts between observations and predefined grid cells strongly influence the
local spatial properties of MODIS images. The sensor observation in any grid cell is only …
local spatial properties of MODIS images. The sensor observation in any grid cell is only …
Assessing the sensitivity of MODIS to monitor drought in high biomass ecosystems
G Caccamo, LA Chisholm, RA Bradstock… - Remote Sensing of …, 2011 - Elsevier
Drought monitoring is important to analyse the influence of rainfall deficiency patterns on
bushfire behaviour. Remote sensing provides tools for spatially explicit monitoring of …
bushfire behaviour. Remote sensing provides tools for spatially explicit monitoring of …
Multi-criteria decision analysis for forest fire risk assessment by coupling AHP and GIS: Method and case study
N Nuthammachot, D Stratoulias - Environment, Development and …, 2021 - Springer
Fire is one of the main causes of environmental and ecosystem change. Geospatial data,
derived from satellite images and surveying observations, are a useful tool in managing land …
derived from satellite images and surveying observations, are a useful tool in managing land …
A new approach for forest fire risk modeling using fuzzy AHP and GIS in Hyrcanian forests of Iran
S Eskandari - Arabian Journal of Geosciences, 2017 - Springer
The presented research was performed in order to model the fire risk in a part of Hyrcanian
forests of Iran. The fuzzy sets integrated with analytic hierarchy process (AHP) in a decision …
forests of Iran. The fuzzy sets integrated with analytic hierarchy process (AHP) in a decision …
Response of global agricultural productivity anomalies to drought stress in irrigated and rainfed agriculture
The response of agricultural productivity anomalies to drought stress plays a crucial role in
the carbon cycle within terrestrial ecosystems and in ensuring food security. However …
the carbon cycle within terrestrial ecosystems and in ensuring food security. However …