A review of practical ai for remote sensing in earth sciences

B Janga, GP Asamani, Z Sun, N Cristea - Remote Sensing, 2023 - mdpi.com
Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …

Confounding effects of snow cover on remotely sensed vegetation indices of evergreen and deciduous trees: An experimental study

R Wang, KR Springer, JA Gamon - Global Change Biology, 2023 - Wiley Online Library
Located at northern latitudes and subject to large seasonal temperature fluctuations, boreal
forests are sensitive to the changing climate, with evidence for both increasing and …

High-resolution mapping of snow cover in montane meadows and forests using Planet imagery and machine learning

K Yang, A John, D Shean, JD Lundquist, Z Sun… - Frontiers in …, 2023 - frontiersin.org
Mountain snowpack provides critical water resources for forest and meadow ecosystems
that are experiencing rapid change due to global warming. An accurate characterization of …

Improving mountain snow and land cover mapping using very-high-resolution (VHR) optical satellite images and random forest machine learning models

JM Hu, D Shean - Remote Sensing, 2022 - mdpi.com
Very-high-resolution (VHR) optical imaging satellites can offer precise, accurate, and direct
measurements of snow-covered areas (SCA) with sub-meter to meter-scale resolution in …

Mapping of Allergenic Tree Species in Highly Urbanized Area Using PlanetScope Imagery—A Case Study of Zagreb, Croatia

M Gašparović, D Dobrinić, I Pilaš - Forests, 2023 - mdpi.com
Mapping and identifying allergenic tree species in densely urbanized regions is vital for
understanding their distribution and prevalence. However, accurately detecting individual …

[HTML][HTML] Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation

X Xiao, S Liang - Remote Sensing of Environment, 2024 - Elsevier
The abundance of remote sensing imagery available has been extensively used for
mapping snow cover extent in mountainous regions. However, previous studies have paid …

An overview of remote sensing for mountain vegetation and snow cover

X Hao, H Li, X Wang, X Wang, X Huang, J Bi - Remote Sensing, 2022 - mdpi.com
Climate change has profoundly impacted elements of land surface at high latitudes and
elevations, especially snow and vegetation. To date, the effects of rapid climate …

Monitoring Snow Cover in Typical Forested Areas Using a Multi-Spectral Feature Fusion Approach

Y Wang, J Wang - Atmosphere, 2024 - mdpi.com
Accurate snow cover monitoring is greatly significant for research on the hydrology model
and regional climate variation, especially in Northeast China where forests cover almost …

Altitudinal Appraisal Of Land Use Land Cover And Surface Temperature Change In The Satluj Basin, India

P Kumar, S Thakur, S Junawa, S Anand - GEOGRAPHY, ENVIRONMENT …, 2024 - ges.rgo.ru
The land use change has affected nearly 32% of the global landscape from 1960 to 2019.
Several studies have examined the impacts of land use land cover (LULC) on the surface …

Automated snow cover detection on mountain glaciers using space-borne imagery

R Aberle, E Enderlin, S O'Neel, C Florentine… - …, 2024 - egusphere.copernicus.org
Tracking the extent of seasonal snow on glaciers over time is critical for assessing glacier
vulnerability and the response of glacierized watersheds to climate change. Existing snow …