Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives

Y Himeur, B Rimal, A Tiwary, A Amira - Information Fusion, 2022 - Elsevier
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

[HTML][HTML] A synthesis of land use/land cover studies: Definitions, classification systems, meta-studies, challenges and knowledge gaps on a global landscape

R Nedd, K Light, M Owens, N James, E Johnson… - Land, 2021 - mdpi.com
Land is a natural resource that humans have utilized for life and various activities. Land
use/land cover change (LULCC) has been of great concern to many countries over the …

Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals

A Liu, X Cheng, Z Chen - Remote Sensing of Environment, 2021 - Elsevier
With the advent of the next generation of space-based laser altimeters, ICESat-2 and GEDI,
we are entering an exciting era of active remote sensing of forests that offers unprecedented …

Investigating the impacts of climate change on hydroclimatic extremes in the Tar-Pamlico River basin, North Carolina

MR Tapas, SK Do, R Etheridge, V Lakshmi - Journal of Environmental …, 2024 - Elsevier
Evaluating the forthcoming impacts of climate change is important for formulating efficient
and flexible approaches to water resource management. General Circulation Models …

Thematic accuracy assessment of the NLCD 2016 land cover for the conterminous United States

J Wickham, SV Stehman, DG Sorenson, L Gass… - Remote Sensing of …, 2021 - Elsevier
Abstract The National Land Cover Database (NLCD) is an operational land cover monitoring
program providing updated land cover and related information for the United States at five …

Flood exposure and social vulnerability in the United States

E Tate, MA Rahman, CT Emrich, CC Sampson - Natural Hazards, 2021 - Springer
Human exposure to floods continues to increase, driven by changes in hydrology and land
use. Adverse impacts amplify for socially vulnerable populations, who disproportionately …

Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites

H Chu, X Luo, Z Ouyang, WS Chan, S Dengel… - Agricultural and Forest …, 2021 - Elsevier
Large datasets of greenhouse gas and energy surface-atmosphere fluxes measured with
the eddy-covariance technique (eg, FLUXNET2015, AmeriFlux BASE) are widely used to …

Conterminous United States land cover change patterns 2001–2016 from the 2016 national land cover database

C Homer, J Dewitz, S **, G ** outcomes
T Hermosilla, MA Wulder, JC White… - Remote Sensing of …, 2022 - Elsevier
Deriving land cover from remotely sensed data is fundamental to many operational map**
and reporting programs as well as providing core information to support science activities …