The perfect knowledge of yield before harvest has been a wish puzzling human being since
the beginning of agriculture because seasonal forecast of crop yield plays a critical role in …

This paper reviews how remote sensing is being used, and can be used, to assist in
providing support for the decision-making process for the declaration of areas experiencing …

We used data from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) in
association with county-level data from the United States Department of Agriculture (USDA) …

In the present study, multiple linear regression models were constructed to simulate the yield
of winter wheat, rapeseed, maize and sunflower in Hungary for the 2000–2016 time period …

Drought is one of the major environmental disasters in southern Africa. In recent years, the
damage from droughts to the environment and economies of some countries was extensive …

For thirty years, simple crop water balance models have been used by the early warning
community to monitor agricultural drought. These models estimate and accumulate actual …

Crop production assessments are extremely valuable because of their economic importance
in influencing international trade and national economic policies. This study investigates …

The utility of remote sensing data in crop yield modeling has typically been evaluated at the
regional or state level using coarse resolution (> 250 m) data. The use of medium resolution …

One obstacle to successful modeling and prediction of crop yields using remotely sensed
imagery is the identification of image masks. Image masking involves restricting an analysis …

That data from polar orbiting satellites have detected a widespread increase in
photosynthetic activity over the last 20 years in the grasslands of the Sahel is justifies …