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植被非绿色生物量的准确估算对于陆地生态系统碳库存量的研究具有重要意义.利用2009~2010年生长季内蒙古荒漠草原地面高光谱观测及相应的非绿色生物量资料,分析研究了基于地面高光谱(ASD)、星载高光谱(Hyperion)、星载多光谱(MODIS)3种数据的纤维素吸收指数(cellulose absorption index,CAI)估算非绿色生物量的能力.结果表明,基于ASD和Hyperion数据的CAI可以较好地估算荒漠草原非绿色生物量,相对误差分别为26.4%与26.6%;归一化植被指数(MODIS2 MODIS5)/(MODIS2+MODIS5)与(MODIS6 MODIS7)/(MODIS6+MODIS7)和基于ASD数据的CAI之间的复相关系数高达0.884;该MODIS指数组合估算非绿色生物量的相对误差为28.9%,估算精度远高于基于TM数据的NDI(normalized difference index),SACRI(soil adjusted corn residue index)和MSACRI(modified soil adjusted crop residue)3个多光谱指数,其相对误差超过了42%.研究结果对于在区域尺度上利用遥感数据估算非绿色植被生物量提供了很好的思路.
Accurate estimation of vegetation non-green biomass is of great significance for the study of terrestrial ecosystem carbon stocks.Using the ground hyperspectral observations and corresponding non-green biomass data of desert steppe in 2009 ~ 2010 growing season, (ASD), Hyperion and MODIS (cellulose absorption index, CAI) were used to estimate the capacity of non-green biomass.The results showed that based on ASD and Hyperion The data of CAI can better estimate the non-green biomass of desert steppe with the relative errors of 26.4% and 26.6% respectively. The MODIS2 / MODIS5 and MODIS6 MODIS7 / MODIS6 + MODIS7 ), And the CAI based on ASD data were as high as 0.884. The relative error of non-green biomass estimated by the MODIS index combination was 28.9%, which was much higher than the normalized difference index (NDI) based on TM data, SACRI ( soil relative corn residue index (MSACRI) and MSACRI (modified soil adjusted crop residue), respectively, and the relative error exceeded 42% Data to estimate the biomass of non-green vegetation provides a good idea.