Scale gaps in landscape phenology: challenges and opportunities

DS Park, EA Newman, IK Breckheimer - Trends in Ecology & Evolution, 2021 - cell.com
Phenology, or the timing of life history events, can be heterogeneous across biological
communities and landscapes and can vary across a wide variety of spatiotemporal scales …

The tempo of greening in the European Alps: Spatial variations on a common theme

P Choler, A Bayle, BZ Carlson, C Randin… - Global Change …, 2021 - Wiley Online Library
The long‐term increase in satellite‐based proxies of vegetation cover is a well‐documented
response of seasonally snow‐covered ecosystems to climate warming. However, observed …

[HTML][HTML] NDVI indicates long-term dynamics of vegetation and its driving forces from climatic and anthropogenic factors in Mongolian Plateau

E Guo, Y Wang, C Wang, Z Sun, Y Bao, N Mandula… - Remote Sensing, 2021 - mdpi.com
In recent years, global warming and intense human activity have been responsible for
significantly altering vegetation dynamics on the Mongolian Plateau. Understanding the long …

[HTML][HTML] Seasonal vegetation trends for Europe over 30 years from a novel normalised difference vegetation index (NDVI) time-series—The TIMELINE NDVI product

C Eisfelder, S Asam, A Hirner, P Reiners, S Holzwarth… - Remote Sensing, 2023 - mdpi.com
Remote sensing multi-decadal time-series provide important information for analysing long-
term environmental change. The Advanced Very High Resolution Radiometer (AVHRR) has …

Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression

S Kuter - Remote Sensing of Environment, 2021 - Elsevier
This study; i) investigates the suitability of two frequently employed machine learning
algorithms in remote sensing, namely, random forests (RFs) and support vector regression …

Reanalysis datasets outperform other gridded climate products in vegetation change analysis in peripheral conservation areas of Central Asia

H Zandler, T Senftl, KA Vanselow - Scientific Reports, 2020 - nature.com
Global environmental research requires long-term climate data. Yet, meteorological
infrastructure is missing in the vast majority of the world's protected areas. Therefore …

[HTML][HTML] Downscaling land surface temperature from MODIS dataset with random forest approach over alpine vegetated areas

P Bartkowiak, M Castelli, C Notarnicola - Remote Sensing, 2019 - mdpi.com
In this study, we evaluated three different downscaling approaches to enhance spatial
resolution of thermal imagery over Alpine vegetated areas. Due to the topographical and …

The world's mountains in the Anthropocene

U Schickhoff, M Bobrowski, S Mal, N Schwab… - Mountain landscapes in …, 2022 - Springer
This review summarizes current understanding of drivers for change and of the impact of
accelerating global changes on mountains, encompassing effects of climate change and …

[HTML][HTML] Spatial predictors and temporal forecast of total organic carbon levels in boreal lakes

C Crapart, AG Finstad, DO Hessen, RD Vogt… - Science of the Total …, 2023 - Elsevier
Browning of Fennoscandian boreal lakes is raising concerns for negative ecosystem
impacts as well as reduced drinking water quality. Declined sulfur deposition and warmer …