基于PROSAIL模型的高寒冬季枯草关键参数阈值率定

冬季牧草即枯草的存量是生态补偿计算与畜牧生产科学管理的关键基础,而对青藏高原枯草关键参数认识的不足,直接限制了高寒冬季枯草监测研究与应用发展.PROSAIL是一种光学辐射传输模型,它可以定量描述植被参数与冠层反射率的关系.利用最新版本PROSAIL模型,结合野外实测的枯草光谱及叶面积、叶绿素等10个性状参数数据,模拟生...

Threshold Calibration of Key Parameters of Withered Grass Based on PROSAIL Model in Qinghai-Tibet Plateau

Grassland, as an important part of the ecosystem in the Qinghai-Tibet Plateau, plays an ecological indicator role. However, during the non-growing season, it generally didn’t monitor or observe alpine grass in winter. It could be a great gap to develop the methods of grassland monitoring and its application in winter. PROSAIL, a physical radiation model, can quantitatively describe the relationship between various vegetation parameters and canopy reflectance spectra. In this study, the latest version of the PROSAIL-D model and ground observed data were applied to explore the thresholds of critical range for 10 parameters of withered grass affected by reflectance spectrum. Based on the reflectance spectrums and the corresponding character’s parameters of withered grass that were obtained in the field, 15 000 possible withered grass spectrums were simulated by the PROSAIL model. Compared to the difference of reflectance spectra between withered grass and green grass observed in winter and summer respectively, it is found that a clear difference displayed on visible and near-infrared bands and with a significant linear in 400~1 300 nm spectral range for withered grass in winter in Qinghai-Tibet Plateau. On that basis, we proposed a method to distinguish the withered and green grass using the difference between red and green spectral reflections. It can be considered as a withered grass spectrum while the difference is greater than 0. Furthermore, a dataset of potential withered grass spectrum was established by two-steps identification from 15 000 possible spectrums based on the methods described above. The potential withered grass spectrums are correlated closely to the observed spectrums with a whole range of 400~2 500 nm, and the R2 of all the simulated spectrum lines was between 0.904 and 0.994. By EFAST method and global sensitivity analysis, the brown pigment, carotenoid, anthocyanin, leaf structure and hot spot were identified as non-sensitive factors that respond to the withered grass spectrum. Finally, PROSAIL model was run again in OFAT (One Factor at a Time) with 99% confidence interval as the criterion and cosine distance as the evaluation function. The parameter threshold intervals of the sensitive factors of withered grass are estimated as: leaf area index of 0.2~0.89, chlorophyll content in 0~1.29 μg·cm-2, the average leaf angle between 11°~90°, equivalent water thickness from 0.000 1 to 0.005 cm, dry matter content within 0.008~0.05 g·cm-2.The results provide some important parameters and further understanding of grass characteristics in winter, and it will strongly promote the application in remote sensing monitoring.