[HTML][HTML] NDVI-based ecological dynamics of forest vegetation and its relationship to climate change in Romania during 1987–2018

R Prăvălie, I Sirodoev, IA Nita, C Patriche… - Ecological …, 2022 - Elsevier
Forests have become increasingly stressed by climate change, including in Romania over
recent decades, but their response to climate dynamics has not yet been analysed in this …

[HTML][HTML] Vegetation dynamics and responses to climate change and anthropogenic activities in the Three-River Headwaters Region, China

X Zhang, X ** - Ecological Indicators, 2021 - Elsevier
Abstract The Three-River Headwaters Region (TRHR) is an area of crucial significance for
the ecological security of China. Owing to dramatic climate change and human activities …

[HTML][HTML] Spatio–temporal assessment of drought in Ethiopia and the impact of recent intense droughts

YA Liou, GM Mulualem - Remote sensing, 2019 - mdpi.com
The recent droughts that have occurred in different parts of Ethiopia are generally linked to
fluctuations in atmospheric and ocean circulations. Understanding these large-scale …

[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 …

DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection

S Belda, L Pipia, P Morcillo-Pallarés… - … Modelling & Software, 2020 - Elsevier
Optical remotely sensed data are typically discontinuous, with missing values due to cloud
cover. Consequently, gap-filling solutions are needed for accurate crop phenology …

Using multiple remote sensing perspectives to identify and attribute land surface dynamics in Central Asia 2001–2013

KM De Beurs, GM Henebry, BC Owsley… - Remote Sensing of …, 2015 - Elsevier
To understand the land surface changes that Central Asia experienced between 2001 and
2013, we applied a non-parametric change analysis method to the standard vegetation …