Enviromics refers to the characterization of micro-and macroenvironments based on large-
scale environmental datasets. By providing genotypic recommendations with predictive …

Abstract Google Earth Engine (GEE) serves as a versatile platform for processing and
visualising geospatial datasets, with its primary aim being to provide an open platform for …

Artificial intelligence (AI) and machine learning (ML) have been applied to solve various
remote sensing problems. To fully leverage the power of AI and ML to tackle impactful …

Ecological stability (ES) is recognized as a crucial factor for sustainable development at
global and regional scales. However, the importance of this factor was not considered …

Through enviromics, precision breeding leverages innovative geotechnologies to customize
crop varieties to specific environments, potentially improving both crop yield and genetic …

Abstract In Ecuador, the Coca Codo Sinclair Hydroelectric Project (CCSHP) provides 34% of
the country's energy demand. However, since its inauguration in 2016, regressive erosion in …

There is a growing interest in develo** GEE applications to improve the reusability of GEE
scripts and reduce manual effort for water-body extraction. Right now, there is a need for …

Iranian semi-arid oak (Quercus brantii) forests are characterized by their sparse canopy
cover and an increasing risk of wildfire. In Lorestan Province, west of Iran (28,300 km²) …

Investigating the spatial-temporal evolution of land use and its driving forces provides a
scientific basis for policy formulation, land-use structure adjustment, and ecological …

In order to clarify the long-term changes in mangroves in the Beibu Gulf of Guangxi and the
carbon storage changes after the invasion of Spartina alterniflora (S. alterniflora) in the …