Understanding trait diversity: the role of geodiversity

G Vernham, JJ Bailey, JM Chase, J Hjort, R Field… - Trends in Ecology & …, 2023 - cell.com
Geodiversity–the abiotic heterogeneity of Earth's (sub) surface–is gaining recognition for its
ecological links to biodiversity. However, theoretical and conceptual knowledge of …

Advancing species diversity estimate by remotely sensed proxies: a conceptual review

D Rocchini, JL Hernández-Stefanoni, KS He - Ecological informatics, 2015 - Elsevier
Many geospatial tools have been advocated in spatial ecology to estimate biodiversity and
its changes over space and time. Such information is essential in designing effective …

Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring

D Rocchini, S Luque, N Pettorelli… - Methods in Ecology …, 2018 - Wiley Online Library
Biodiversity includes multiscalar and multitemporal structures and processes, with different
levels of functional organization, from genetic to ecosystemic levels. One of the mostly used …

The performance of random forests in an operational setting for large area sclerophyll forest classification

A Mellor, A Haywood, C Stone, S Jones - Remote Sensing, 2013 - mdpi.com
Mapping and monitoring forest extent is a common requirement of regional forest inventories
and public land natural resource management, including in Australia. The state of Victoria …

rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back

D Rocchini, E Thouverai, M Marcantonio… - Methods in Ecology …, 2021 - Wiley Online Library
Ecosystem heterogeneity has been widely recognized as a key ecological indicator of
several ecological functions, diversity patterns and change, metapopulation dynamics …

From local spectral species to global spectral communities: A benchmark for ecosystem diversity estimate by remote sensing

D Rocchini, N Salvatori, C Beierkuhnlein… - Ecological …, 2021 - Elsevier
In the light of unprecedented change in global biodiversity, real-time and accurate
ecosystem and biodiversity assessments are becoming increasingly essential …

Remote sensing in landscape ecology

GM Foody - Landscape Ecology, 2023 - Springer
The Allerton Park workshop essentially defined landscape ecology as a field of study that
cuts across multiple natural and social sciences (Risser et al. 1984). The report on the …

A micro-level analysis of commuting and urban land using the Simpson's index and socio-demographic factors

E Momeni, A Antipova - Applied geography, 2022 - Elsevier
This study explores the association between urban form, socio-demographics, and travel
behavior for 1990, 2000, and 2010 in Shelby County, Tennessee, at a micro-level using US …

Height variation hypothesis: A new approach for estimating forest species diversity with CHM LiDAR data

M Torresani, D Rocchini, R Sonnenschein… - Ecological …, 2020 - Elsevier
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 …

An open-source semi-automated processing chain for urban object-based classification

T Grippa, M Lennert, B Beaumont, S Vanhuysse… - Remote Sensing, 2017 - mdpi.com
This study presents the development of a semi-automated processing chain for urban object-
based land-cover and land-use classification. The processing chain is implemented in …