Results 51 to 60 of about 333,003 (201)

Effects of topography and surface roughness in analyses of landscape structure - A proposal to modify the existing set of landscape metrics

open access: yesLandscape Online, 2008
Topography and relief variability play a key role in ecosystem functioning and structuring. However, the most commonly used concept to relate pattern to process in landscape ecology, the so-called patch-corridor-matrix model, perceives the landscape as a
Sebastian Hoechstetter   +3 more
doaj   +1 more source

The Relationship Between Urban 2-D/3-D Landscape Pattern and Nighttime Light Intensity

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
As spatial and socioeconomic processes are the two key aspects of urban development, revealing the relationship between these two key aspects is critical.
Bin Wu   +8 more
doaj   +1 more source

Mapping and analysis of changes in the riparian landscape structure of the Lockyer Valley Catchment, Queensland, Australia [PDF]

open access: yes, 2002
[Abstract]: A case study of the Lockyer Valley catchment in Queensland, Australia, was conducted to develop appropriate mapping and assessment techniques to quantify the nature and magnitude of riparian landscape structural changes within a catchment ...
Apan, Armando   +2 more
core   +1 more source

Analysis of urban sprawl at mega city Cairo, Egypt using multisensoral remote sensing data, landscape metrics and gradient analysis [PDF]

open access: yes, 2009
This paper is intended to highlight the capabilities of synergistic usage of remote sensing, landscape metrics and gradient analysis. We aim to improve the understanding of spatial characteristics and effects of urbanization on city level ...
Dech, Stefan   +4 more
core  

Characterizing forest fragmentation : Distinguishing change in composition from configuration [PDF]

open access: yes, 2014
This project was funded by the Government of Canada through the Mountain Pine Beetle Program, a three-year, $100 million program administered by Natural Resources Canada, Canadian Forest Service. Additional information on the Mountain Pine Beetle Program
Long, J.A., Nelson, T.A., Wulder, M.A.
core   +1 more source

Interpreting multiscale domains of tree cover disturbance patterns in North America [PDF]

open access: yes, 2017
Spatial patterns at multiple observation scales provide a framework to improve understanding of pattern-related phenomena. However, the metrics that are most sensitive to local patterns are least likely to exhibit consistent scaling relations with ...
Buma, Brian   +2 more
core   +1 more source

How to visualize landscape metrics for local landscapes?

open access: yes, 2022
In the past, I wrote a post on how to calculate landscape-level metrics for local landscapes. There, I showed how to divide the categorical input map into a number of smaller areas and calculate selected landscape metrics for each area.
openaire   +1 more source

On the effectiveness of multi-scale landscape metrics in soil organic carbon mapping

open access: yesGeoderma
Soil organic carbon (SOC) mapping delivers invaluable information to the global carbon budget and climate change mitigation endeavour. Environmental variables at sample locations are frequently used as explanatory variables for simulating the spatial ...
Jiaxue Wang   +7 more
doaj   +1 more source

Fragmentation of Araucaria araucana forests in Chile: quantification and correlation with structural variables

open access: yesiForest - Biogeosciences and Forestry, 2016
Landscape fragmentation is one of the main threats to South American temperate forests due to population growth, conversion of native forests to plantations of exotic species and non-sustainable timber harvesting.
Molina Juan R   +4 more
doaj   +1 more source

Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions [PDF]

open access: yes, 2019
Quantification of the stationary points and the associated basins of attraction of neural network loss surfaces is an important step towards a better understanding of neural network loss surfaces at large.
Bosman, Anna Sergeevna   +2 more
core   +2 more sources

Home - About - Disclaimer - Privacy