Aims Grasslands are the world's most extensive terrestrial ecosystem, and are a major feed
source for livestock. Meeting increasing demand for meat and other dairy products in a …

Grassland remote sensing (GRS) is an important research topic that applies remote sensing
technology to grassland ecosystems, reflects the number of grassland resources and …

Native vegetation around the world is under threat from historical and ongoing clearance,
overgrazing, invasive species, increasing soil and water salinity, altered fire regimes, poor …

Over large areas, land cover classification has conventionally been undertaken using
satellite time series. Typically temporal metric percentiles derived from single pixel location …

The analysis and classification of land cover is one of the principal applications in terrestrial
remote sensing. Due to the seasonal variability of different vegetation types and land surface …

Regular estimates of regional pasture growth rate (PGR) would prove invaluable for wool
producers in the agricultural zone of Western Australia (WA) wishing to adopt efficient …

Human activities and climate change have changed the vegetation in China. The analysis of
the changes in vegetation that have occurred over the past 30 years in China remains a …

Long-term vegetation dynamics associated with climatic changes can be assessed using
Advanced Very High Resolution Radiometer (AVHRR) red and near-infrared reflectance …

In this study, independent classifications of Landsat Thematic Mapper imagery and Jet
Propulsion Laboratory AirSAR were combined to create an integrated classification of …

The rapid development of remote sensing technology has promoted the generation of
different vegetation index products, resulting in substantive accomplishment in …