Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …

The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …

CONTEXT Map** crop types from satellite images is a promising application in
agricultural systems. However, it is a challenge to automate in-season crop type map** …

Accurate and timely information on winter wheat spatial distribution is essential for food
security and environmental sustainability. However, high-quality nation-wide winter wheat …

Land cover classification in remote sensing is often faced with the challenge of limited
ground truth labels. Incorporating historical ground information has the potential to …

The green leaf area index (LAI) is an important structural parameter that can be used for
monitoring plant transpiration and carbon cycling over large spatial extents. LAI is also …

Real-time and non-destructive nitrogen (N) status diagnosis is needed to support in-season
N management decision-making for modern wheat production. For this purpose, satellite …

Accurate information on crop yield prediction is essential for farmers, governments,
scientists, and agricultural agencies to make well-informed decisions. Majority of yield …

Rice farming exemplifies intensive agriculture, demanding significant inputs to achieve
optimal yields. Thus, accurate and precise map** of rice cultivation is vital for effective …

Crop type classification is critical for crop production estimation and optimal water allocation.
Crop type data are challenging to generate if crop reference data are lacking, especially for …