A New Crop Spectral Signatures Database Interactive Tool (CSSIT)
作者： Mohamad M. Awad , Bassem Alawar , Rana Jbeily
DOI: 10.3390/DATA4020077
关键词: Structure (mathematical logic) 、 Field (computer science) 、 Crop 、 Agriculture 、 Database 、 Spectroradiometer 、 Spectral signature 、 Hyperspectral imaging 、 Computer science 、 Leaf area index
摘要: In many countries, commodities provided by the agriculture sector play an important role in economy. Securing food is one aspect of this role, which can be achieved when decision makers are supported tools. The need for cheap, fast, and accurate tools with high temporal resolution global coverage has encouraged to use remote sensing technologies. Field spectroradiometer spectral substantially improve crop mapping reducing similarities between different types that have similar ecological conditions. This done recording fine details interaction sunlight. These increase same recognition even variation chemistry structure. paper presents a new signatures database interactive tool (CSSIT) major crops Eastern Mediterranean Basin such as wheat potato. CSSIT’s combines data periods growth stages physical chemical parameters leaf area index (LAI) chlorophyll-a content (CHC). addition, CSSIT includes functions calculating indices from specific user dialog boxes displaying at period time.
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