Local community involvement in nature conservation under the auspices of Community‐Based Natural Resource Management: A state of the art review
MB Rampheri, T Dube - African Journal of Ecology, 2021 - Wiley Online Library
Numerous initiatives and programmes were introduced to enable biodiversity conservation,
and community involvement was among these propositions. In line with such initiatives …
and community involvement was among these propositions. In line with such initiatives …
Does using species abundance data improve estimates of species diversity from remotely sensed spectral heterogeneity?
Different approaches for the assessment of biodiversity by means of remote sensing were
developed over the last decades. A new approach, based on the spectral variation …
developed over the last decades. A new approach, based on the spectral variation …
Height variation hypothesis: A new approach for estimating forest species diversity with CHM LiDAR data
An indirect method for estimating biodiversity from Earth observations is the Spectral
Variation Hypothesis (SVH). SVH states that the higher the spatial variability of the spectral …
Variation Hypothesis (SVH). SVH states that the higher the spatial variability of the spectral …
Mapping continuous fields of forest alpha and beta diversity
H Feilhauer, S Schmidtlein - Applied Vegetation Science, 2009 - Wiley Online Library
Question: How to map continuous fields of forest alpha and beta diversity in remote areas,
based on easily accessible spatial data. Location: Kyrgyzstan/Central Asia. Methods: The …
based on easily accessible spatial data. Location: Kyrgyzstan/Central Asia. Methods: The …
[HTML][HTML] Mangrove biodiversity assessment using UAV LiDAR and hyperspectral data in China's Pinglu canal estuary
Mangrove forests are a valuable resource for biological and species diversity, and play a
critical role in maintaining biodiversity. However, traditional plant biodiversity survey …
critical role in maintaining biodiversity. However, traditional plant biodiversity survey …
Can tree species diversity be assessed with Landsat data in a temperate forest?
The diversity of forest trees as an indicator of ecosystem health can be assessed using the
spectral characteristics of plant communities through remote sensing data. The objectives of …
spectral characteristics of plant communities through remote sensing data. The objectives of …
Assessment of plant species distribution and diversity along a climatic gradient from Mediterranean woodlands to semi-arid shrublands
T Paz-Kagan, JG Chang, M Shoshany… - GIScience & Remote …, 2021 - Taylor & Francis
Climate and land-use change profoundly affect plant species distribution (SD) and
composition, and the impact of these processes is expected to increase in the coming years …
composition, and the impact of these processes is expected to increase in the coming years …
Linking variability in species composition and MODIS NDVI based on beta diversity measurements
Finding an effective method to quantify species compositional changes in time and space
has been an important task for ecologists and biogeographers. Recently, exploring regional …
has been an important task for ecologists and biogeographers. Recently, exploring regional …
Combining high resolution satellite imagery and lidar data to model woody species diversity of tropical dry forests
SP George-Chacon, JM Dupuy, A Peduzzi… - Ecological …, 2019 - Elsevier
Tropical dry forests provide goods and ecosystem services that rely on their diversity and are
vital for human wellbeing. However, they are among the most threatened ecosystems due …
vital for human wellbeing. However, they are among the most threatened ecosystems due …
Possibility investigation of tree diversity mapping using Landsat ETM+ data in the Hyrcanian forests of Iran
J Mohammadi, S Shataee - Remote Sensing of Environment, 2010 - Elsevier
Lack of data often limits understanding and management of biodiversity in forested areas.
Remote sensing imagery has considerable potential to aid in the monitoring and prediction …
Remote sensing imagery has considerable potential to aid in the monitoring and prediction …