Abstract: Cultivated land is grain production's foundation．Problems such as non-agriculture and non-grain production of cultivated land have persisted despite repeated prohibitions, necessitating strengthened monitoring and supervision．Hyperspectral remote sensing, with its rich spectral information, has expanded means for crop cultivation monitoring in cultivated land．Addressing challenges in spatial resolution mismatch, atmospheric interference, and unstable inversion accuracy for hyperspectral remote sensing application in fine-scale identification of cultivated land cultivation in agricultural production, a set of satellite-ground synchronous spectral acquisition technology solutions combined with ground spectrometers was researched and designed, including synchronous acquisition design, data processing flow, and satellite-ground data collaborative analysis．Verification testing was based on hyperspectral data from ZY-1 02E satellite．Experimental results showed that satellite-ground synchronous spectral acquisition scheme achieved high spectral consistency, and effectively mitigated scale effects in observation data．Based on spectral acquisition, average accuracy of crop classification reached 73.4%, enabling effective analysis of planting information and providing data references for fine-scale quantitative inversion of crop growth in arable land．