The great abundance of sensors and remotely piloted aircraft sometimes makes it difficult to choose the right technologies for a certain task. Another study claims that there is a higher correlation between a spectrometer and a multispectral camera rather than a modified one. One of the most common studies is the comparison between in situ data and aerial data where the research team showed great potential correlating the two types data. The topic investigated here is very popular at present, with numerous studies and tests published in books and journals. Researchers have begun comparing consumer-grade sensors to expensive ones. Sensors and platforms have become financially accessible, which has led to a great abundance of these devices on the market. The maps could also improve field characteristics such as drainage, land levelling, irrigation, fencing, and so on. The latter could show yield patterns within the monitored area. Imagery data could help generate maps of current plant status as well as produce yield maps. Scene reconstruction and reflectance orthomosaics depend on many factors, but most importantly, they are dependent on the overlap between neighboring images. Spectral bands other than the classic red, green, and blue bands usually have lower image resolution than RGB (red-green-blue) ones, which directly affects the planning of unmanned flights. Nonetheless, multispectral photogrammetric mapping is demanding, and it could theoretically differ from classical photogrammetric imaging. Vegetation has been monitored from space since the beginning of the 1970s. Image data provides us with a promising contactless tool for monitoring vast fields. Information about the status of a certain agricultural crop could be used to improve the managerial processes that take place on any farm. The researchers present the image processing steps and their enhanced photogrammetric workflow for multitemporal data which helps experts and nonprofessionals to reduce their processing time. The second campaign resulted in a very high percentage of correlation between both types of data. The results from the first campaign were discouraging, showing less possibility in the correlation between the aerial and field data. There were two flight campaigns which took place near the village of Tuhan in the Czech Republic. The authors carried out field measurements using a handheld spectrometer by Trimble-GreenSeeker. The research team used an eBee fixed-wing platform and the multiSPEC 4c and Sequoia sensors. The research was provoked by the need for a relevant comparison between airborne and ground sensors for vegetation analysis and monitoring. Moreover, the authors aim to present an enhanced workflow for processing multitemporal image data using both commercial and open-source solutions. The main goals of the following paper are to evaluate the performance of two multispectral airborne sensors and compare their image data with in situ spectral measurements.
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