CAJ | 학술논문

近地表气温是一个重要的气候参数，为了给农业研究提供空间上连续的气温信息，以西北地区为研究区，利用HJ-1B数据运用温度-植被指数方法（temperature-vegetation index, TVX）反演近地表气温。首先采用修正普适性单通道算法反演地表温度，并利用同一地区的MODIS温度产品进行了对比验证，然后利用2010年7月20日、2010年8月28日、2011年8月8日3景影像结合研究区气象站点观测的气温资料推算饱和NDVI值，最后将推算结果应用到2011年8月28日影像，利用气象站点观测资料对TVX方法反演的气温进行了精度验证。结果表明，反演地表温度与 MODIS 温度产品空间分布趋势基本一致，符合研究区的地表覆盖状况；反演气温与反演地表温度空间分布格局具有较好的一致性，可以提供比气象站点观测数据更理想的空间异质性信息；反演气温值比观测值偏高，二者平均绝对误差MAE为2.16 K，均方根误差RMSE为2.72 K。为快速有效获取大范围的气温时空信息提供了一种新思路，对科学指导农业生产、合理利用农业资源具有一定的可参考性。
근지표기온시일개중요적기후삼수，위료급농업연구제공공간상련속적기온신식，이서북지구위연구구，이용HJ-1B수거운용온도-식피지수방법（temperature-vegetation index, TVX）반연근지표기온。수선채용수정보괄성단통도산법반연지표온도，병이용동일지구적MODIS온도산품진행료대비험증，연후이용2010년7월20일、2010년8월28일、2011년8월8일3경영상결합연구구기상참점관측적기온자료추산포화NDVI치，최후장추산결과응용도2011년8월28일영상，이용기상참점관측자료대TVX방법반연적기온진행료정도험증。결과표명，반연지표온도여 MODIS 온도산품공간분포추세기본일치，부합연구구적지표복개상황；반연기온여반연지표온도공간분포격국구유교호적일치성，가이제공비기상참점관측수거경이상적공간이질성신식；반연기온치비관측치편고，이자평균절대오차MAE위2.16 K，균방근오차RMSE위2.72 K。위쾌속유효획취대범위적기온시공신식제공료일충신사로，대과학지도농업생산、합리이용농업자원구유일정적가삼고성。
Near-surface air temperature is an important meteorological parameter, and is closely related to agriculture production. In this paper, the temperature-vegetation index method (TVX method, also called contextual method) for the area-wide mapping of instantaneous air temperature was adopted for use with HJ-1B data in Northwest China. The approach was complemented with an iterative filtering routine for eliminating outliers, and an interpolation algorithm for filling in data gaps. The air temperature at the time of satellite passing through was estimated from the maximum and minimum air temperature measured in a meteorological station with a simple sine curve model, and we still labeled it as“measured”air temperature. The improved generalized single-channel algorithm was adopted for retrieved surface temperature, and the results were validated by comparison with MODIS land surface temperature products (MOD11_L2). In addition, the meteorological measured air temperatures and three scenes HJ-1B data on July 20,2010, August 28, 2010, and August 8, 2011 were adopted for parameterization of NDVImax. Then the NDVImax was applied to HJ-1B data on August 28, 2011, and the retrieved air temperatures were validated by the meteorological measured air temperatures. The results showed that the land surface temperature retrieved with the improved algorithm were consistent with those provided by the MODIS product, and that the satellite-derived air temperature also had a consistent distribution with land surface temperature, the satellite-derived air temperatures were in good agreement with the meteorological observed values with MAE=2.16 K, RMSE=2.72 K, and the accuracy was in line with previously reported results for the TVX method. There are difficulties in relating the satellite-derived air temperature to a fixed shelter height, therefore the results of this study showed that the remote sensing approach tends to overestimate the in situ air temperatures. It is concluded that near-surface air temperature can be retrieved effectively from HJ-1B satellite data through the use of the TVX method.