Agriculture pest and disease risk maps considering MSG satellite data and land surface temperature

Pest risk maps for agricultural use are usually constructed from data obtained from in-situ meteorological weather stations, which are relatively sparsely distributed and are often quite expensive to install and difficult to maintain. This leads to the creation of maps with relatively low spatial resolution, which are very much dependent on interpolation methodologies. Considering that agricultural applications typically require a more detailed scale analysis than has traditionally been available, remote sensing technology can offer better monitoring at increasing spatial and temporal resolutions, thereby improving pest management results and 

• Type: Journal
• Year: 2015
• Where: AEOG
• Authors: J. R. Marques da Silva, C. V. Damásio, A. M. O. Sousa, L. Bugalho, L. Pessanha, P. Quaresma
• Keywords: AEOG 2015, Artificial Intelligence