作者: Y. Cohen , N. Agam , I. Klapp , A. Karnieli , O. Beeri
DOI: 10.1017/S2040470017001352
关键词: Remote sensing 、 Range (statistics) 、 Field (geography) 、 Satellite 、 Irrigation management 、 Image resolution 、 Environmental resource management 、 Scale (map) 、 Sharpening 、 Key (cryptography) 、 Environmental science
摘要: To use VRI systems, a field is divided into irrigation management zones (IMZs). While IMZs are dynamic in nature, most of prescription maps static. High-resolution thermal images (TI) coupled with measured atmospheric conditions have been utilized to map the within-field water status variability and delineate in-season IMZs. Unfortunately, spaceborne TIs coarse spatial resolution aerial platforms require substantial financial investments, which may inhibit their large-scale adoption. Three approaches proposed facilitate adoption TI-based IMZs: 1) increase capacity TI by enhancing resolution; 2) sharpening satellite fusing multi-spectral visible-near-infrared (VIS-NIR) range; 3) VIS-NIR range. The scientific engineering basis each described together initial results.