Change Detection Matrix in Land Use and Land Cover Classification using GIS
N Sujathaa
openalex +1 more source
Spatial metrics in fire ecology: seeking consistency amidst complexity
ABSTRACT Technological advances, including remote sensing, have led to a proliferation of metrics used in ecological studies to examine spatial patterns of fire regimes and their ecological effects. Researchers can use many different metrics to analyse spatial variation in both fire events and resulting fire regimes, including fire size, shape ...
Alexander R. Carey +5 more
wiley +1 more source
Correlated Decision Fusion Accompanied with Quality Information on a Multi-Band Pixel Basis for Land Cover Classification. [PDF]
Papadopoulos S +2 more
europepmc +1 more source
The power of many: when genetics met yeasts and high‐throughput
ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley +1 more source
One-class land-cover classification using MaxEnt: the effect of modelling parameterization on classification accuracy. [PDF]
Fernández IC, Morales NS.
europepmc +1 more source
Deep Learning Based Land Use Land Cover Classification On Multi-Sensor Remote SensingData [PDF]
Shefali Agrawal +4 more
openalex +1 more source
The influence of rivers on seabird foraging ecology
ABSTRACT Rivers act as vital arteries to the world's oceans, delivering fresh water and nutrients that sustain marine ecosystems. Globally, river flow increasingly is being altered by climate change and anthropogenic pressures; yet the significance of rivers to predatory marine species, such as seabirds, and the extent to which river‐related changes ...
Julia B. Morais +2 more
wiley +1 more source
SLMFNet: Enhancing land cover classification of remote sensing images through selective attentions and multi-level feature fusion. [PDF]
Li X +7 more
europepmc +1 more source
Integrated Airborne LiDAR Data and Imagery for Suburban Land Cover Classification Using Machine Learning Methods. [PDF]
Mo Y +6 more
europepmc +1 more source

