Ecosystem restoration conventionally focuses on ecological targets. However, while
ecological targets are crucial to mobilizing political, social, and financial capital, they do not …

The discipline of land change science has been evolving rapidly in the past decades.
Remote sensing played a major role in one of the essential components of land change …

A comprehensive quantification of global forest fragmentation is urgently required to guide
forest protection, restoration and reforestation policies. Previous efforts focused on the static …

Abstract Machine learning (ML) models are a leading analytical technique used to monitor,
map and quantify land use and land cover (LULC) and its change over time. Models such as …

Accurate and high-resolution land cover (LC) information is vital for addressing
contemporary environmental challenges. With the advancement of satellite data acquisition …

Climate change increases fire-favorable weather in forests, but fire trends are also affected
by multiple other controlling factors that are difficult to untangle. We use machine learning to …

Trees are pivotal to global biodiversity and nature's contributions to people, yet accelerating
global changes threaten global tree diversity, making accurate species extinction risk …

European forests are among the most extensively studied ecosystems in the world, yet there
are still debates about their recent dynamics. We modeled the changes in tree canopy …

Drought is the most destructive phenomenon that distresses the terrestrial carbon cycle
balance and crop production. The variation in evapotranspiration (ET) and gross primary …

Floodplains provide critical ecosystem services; however, loss of natural floodplain functions
caused by human alterations increase flood risks and lead to massive loss of life and …