Funders and governments are promoting climate-smart agriculture (CSA) as key to
agricultural adaptation under climate change in Africa. However, with its progressions still at …

This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …

The unprecedented availability of optical satellite data in cloud-based computing platforms,
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …

Leaf area index (LAI) is an essential indicator of crop development and growth. For many
agricultural applications, satellite-based LAI estimates at the farm-level often require near …

The growth of rice is a sequence of three different phenological phases. This sequence of
change in rice phenology implies that the condition of the plant during the vegetative phase …

The rapid economic development that the Hotan Oasis in Xinjiang Uygur Autonomous
Region, China has undergone in recent years may face some challenges in its ecological …

Global food security is critical to eliminating hunger and malnutrition. In the changing
climate, farmers in developing countries must adopt technologies and farming practices …

In support of cropland monitoring, operational Copernicus Sentinel-2 (S2) data became
available globally and can be explored for the retrieval of important crop traits. Based on a …

Air pollution is a serious concern for human health and is even more worrying in areas that
are known to be “pollution hotspots”, such as the Po Plain in northern Italy. The Urban Green …

This is the first study to inverse leaf area index (LAI) with photon counting LiDAR (ie, Ice,
Cloud, and Land Elevation Satellite-2/Advanced Topographic Laser Altimeter System …