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国土资源遥感  2017, Vol. 29 Issue (3): 1-9    DOI: 10.6046/gtzyyg.2017.03.01
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
国产HJ-1B卫星数据的地表温度及湿度反演方法——以呼伦贝尔草原伊敏露天煤矿区为例
赵菲菲1, 2, 包妮沙1, 吴立新1, 3, 孙瑞4
1.东北大学测绘遥感与数字矿山研究所,沈阳 110819;
2.北京国测星绘信息技术有限公司,北京 100048;
3.中南大学地球科学与信息物理学院,长沙 410083;
4.江苏省地质测绘院,南京 210008
Retrieving land surface temperature and soil moisture from HJ-1B data: A case study of Yimin open-cast coal mine region in Hulunbeier grassland
ZHAO Feifei1, 2, BAO Nisha1, WU Lixin1, 3, SUN Rui4
1. Institute for Geo-information & Digital Mine Research, Northeastern University, Shenyang 110819, China;
2. Beijing SatImage Information Technology Co., Ltd, Beijing 100048, China;
3. School of Geoscience and Info-Physics, Central South University, Changsha 410083, China;
4. Jiangsu Geologic Surveying and Mapping Institute, Nanjing 210008, China
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摘要 草原露天煤矿的土壤湿度遥感监测可以反映露天开采活动对生态环境的扰动程度。选择国产环境卫星(HJ-1B)多光谱及热红外光谱数据,探讨HJ-1B数据在中国北部呼伦贝尔草原伊敏露天煤矿区地表温度及湿度的反演模型及适宜性,对比分析JM&S,Qin和Artis算法在研究区温度反演中的精度及适用性; 进一步利用归一化植被指数和地表温度(NDVI-LST)的特征空间反演温度植被干旱指数(temperature vegetation dryness index,TVDI); 通过野外实测土壤湿度数据对NDVI-LST特征空间中的干边模型进行修正。结果表明: 基于Qin算法反演的温度数据精度最高; 干边纠正系数为0.3时,TVDI与实测土壤含水量相关性最高,“湿边”呈现剖物线特征,“干边”呈现线性规律。反演结果能够很好地反映露天煤矿区内不同地物的地表干旱状况及空间异质性,可为草原露天煤矿区的长周期陆面演变监测提供基础数据。
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于海洋
罗玲
马慧慧
李辉
关键词 SRTMDEM水文分析LiDAR地形湿度指数    
Abstract:The soil moisture can be considered as an appropriate indicator to investigate the level of ecological environment disturbance resulting from mining activities in semi-arid grassland. The main objective of this research is to explore the applicability of Chinese HJ-1B data for LST and soil moisture monitoring around mining-affected areas on the local scale. The JM&S, Qin and Artis methods for temperature retrieval were comparatively analyzed. The relationship space of NDVI-LST was used to generate temperature vegetation dryness index(TVDI). Furthermore, the reference data including in situ soil moisture and MODIS LST products were used for “dry edge” correcting of TVDI. Some conclusions have been reached: The Qin’s mono-window algorithm performs best in LST retrieval from HJ-1B data; there is a highest correlation between corrected TVDI value with C=0.3 and in situ soil moisture value; the feature of NDVI-LST space indicates that there is a linear relationship for “wet edge”, while the relationship for “dry edge” is conic; the TVDI imagery and LST imagery show different drought conditions of different features. The obvious geographical heterogeneity has been found from the TVDI and LST imagery in this area as well.
Key wordsSRTM    DEM    hydrologic analysis    LiDAR    topographic wetness index
收稿日期: 2016-03-07      出版日期: 2017-08-15
基金资助:国家自然科学基金项目“干旱半干旱草原区露天煤矿土壤光谱特征模型研究”(编号: 4140010440)资助
通讯作者: 包妮沙(1985-),女,博士,副教授,主要从事环境遥感方面的研究。Email:baonisha@126.com。   
作者简介: 赵菲菲(1991-),女,硕士研究生,主要研究方向为摄影测量与遥感应用。Email:sgerphy@163.com。
引用本文:   
赵菲菲, 包妮沙, 吴立新, 孙瑞. 国产HJ-1B卫星数据的地表温度及湿度反演方法——以呼伦贝尔草原伊敏露天煤矿区为例[J]. 国土资源遥感, 2017, 29(3): 1-9.
ZHAO Feifei, BAO Nisha, WU Lixin, SUN Rui. Retrieving land surface temperature and soil moisture from HJ-1B data: A case study of Yimin open-cast coal mine region in Hulunbeier grassland. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 1-9.
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[1] Petropoulos G P,Ireland G,Barrett B.Surface soil moisture retrievals from remote sensing:Current status, products & future trends[J].Physics and Chemistry of the Earth,Parts A/B/C,2015,83-84:36-56.
[2] 黄建平,季明霞,刘玉芝,等.干旱半干旱区气候变化研究综述[J].气候变化研究进展,2013,9(1):9-14.
Huang J P,Ji M X,Liu Y Z,et al.An overview of arid and semi-arid climate change[J].Progressus Inquisitiones de Mutatione Climatis,2013,9(1):9-14.
[3] Zhang F,Zhang L W,Shi J J,et al.Soil moisture monitoring based on land surface temperature-vegetation index space derived from MODIS data[J].Pedosphere,2014,24(4):450-460.
[4] 杨 涛,宫辉力,李小娟,等.土壤水分遥感监测研究进展[J].生态学报,2010,30(22):6264-6277.
Yang T,Gong H L,Li X J,et al.Progress of soil moisture monitor-ing by remote sensing[J].Acta Ecologica Sinica,2010,30(22):6264-6277.
[5] Piles M,Camps A,Vall-Llossera M,et al.Downscaling SMOS-derived soil moisture using MODIS visible/infrared data[J].IEEE Transactions Geoscience and Remote Sensing,2011,49(9):3156-3166.
[6] 刘星含,张佳华,许晓宏.MODIS-TVDI指数监测新疆干旱动态[J].遥感信息,2015,30(2):111-115.
Liu X H,Zhang J H,Xu X H.Drought monitoring in Xinjiang by using MODIS-TVDI[J].Remote Sensing Information,2015,30(2):111-115.
[7] 梁顺林,李小文,王锦地.定量遥感:理念与算法[M].北京:科学出版社,2013.
Liang S L,Li X W,Wang J D.Quantitative Remote Sensing:Idea and Algorithm[M].Beijing:Science Press,2013.
[8] Shahabfar A,Ghulam A,Eitzinger J.Drought monitoring in Iran using the perpendicular drought indices[J].International Journal of Applied Earth Observation and Geoinformation,2012,18:119-127.
[9] Ozelkan E,Chen G,Ustundag B B.Multiscale object-based drought monitoring and comparison in rainfed and irrigated agriculture from Landsat 8 OLI imagery[J].International Journal of Applied Earth Observation and Geoinformation,2016,44:159-170.
[10] 徐剑波,赵 凯,赵之重,等.利用HJ-1B遥感数据反演西北地区近地表气温[J].农业工程学报,2013,29(22):145-153.
Xu J B,Zhao K,Zhao Z Z,et al.Estimation of near-surface air temperature from HJ-1B satellite data in Northwest China[J].Transactions of the Chinese Society of Agricultural Engineering,2013,29(22):145-153.
[11] 周 纪,李 京,赵 祥,等.用HJ-1B卫星数据反演地表温度的修正单通道算法[J].红外与毫米波学报,2011,30(1):61-67.
Zhou J,Li J,Zhao X,et al.A modified single-channel algorithm for land surface temperature retrieval from HJ-1B satellite data[J].Journal of Infrared and Millimeter Waves,2011,30(1):61-67.
[12] 高 磊,覃志豪,卢丽萍.基于植被指数和地表温度特征空间的农业干旱监测模型研究综述[J].国土资源遥感,2007,19(3):1-7.doi:10.6046/gtzyyg.2007.03.01"> doi:10.6046/gtzyyg.2007.03.01.
Gao L,Qin Z H,Lu L P.An overview on agricultural drought monitoring models based on vegetation index and surface temperature feature space[J].Remote Sensing for Land and Resources,2007,19(3):1-7.doi:10.6046/gtzyyg.2007.03.01"> doi:10.6046/gtzyyg.2007.03.01.
[13] Sandholt I,Rasmussen K,Andersen J.A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J].Remote Sensing of Environment,2002,79(2/3):213-224.
[14] 陈 斌,张学霞,华 开,等.温度植被干旱指数(TVDI)在草原干旱监测中的应用研究[J].干旱区地理,2013,36(5):930-937.
Chen B,Zhang X X,Hua K,et al.Application study of temperature vegetation drought index(TVDI) in grassland drought monitoring[J].Arid Land Geography,2013,36(5):930-937.
[15] Jiménez-Muñoz J C,Sobrino J A.A generalized single-channel method for retrieving land surface temperature from remote sensing data[J].Journal of Geophysical Research,2003,108(D22):4688.
[16] Qin Z H,Karnieli A,Berliner P.A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region[J].International Journal of Remote Sensing,2001,22(18):3719-3746.
[17] Artis D A,Carnahan W H.Survey of emissivity variability in thermography of urban areas[J].Remote Sensing of Environment,1982,12(4):313-329.
[18] 张存厚,王明玖,张 立,等.呼伦贝尔草甸草原地上净初级生产力对气候变化响应的模拟[J].草业学报,2013,22(3):41-50.
Zhang C H,Wang M J,Zhang L,et al.Response of meadow steppe ANPP to climate change in Hulunbeir,Inner Mongolia:A simulation study[J].Acta Prataculturae Sinica,2013,22(3):41-50.
[19] 闫瑞瑞,辛晓平,王 旭,等.不同放牧梯度下呼伦贝尔草甸草原土壤碳氮变化及固碳效应[J].生态学报,2014,34(6):1587-1595.
Yan R R,Xin X P,Wang X,et al.The change of soil carbon and nitrogen under different grazing gradients in Hulunber meadow steppe[J].Acta Ecologica Sinica,2014,34(6):1587-1595.
[20] 胡志超,李政海,周延林,等.呼伦贝尔草原退化分级评价及时空格局分析[J].中国草地学报,2014,36(5):12-18.
Hu Z C,Li Z H,Zhou Y L,et al.The partitioning of degradation and analysis of its spatio-temporal pattern of Hulunbeier grassland,China[J].Chinese Journal of Grassland,2014,36(5):12-18.
[21] 赵菲菲,包妮沙,刘善军,等.国产高分数据在草原露天煤矿植被监测中的应用[J].测绘与空间地理信息,2015,38(8):108-110.
Zhao F F,Bao N S,Liu S J,et al.The application of Chinese GF-1 satellite high resolution in monitoring the semi-arid grassland for large surface mining area[J].Geomatics & Spatial Information Technology,2015,38(8):108-110.
[22] 段四波,阎广建,钱永刚,等.利用HJ-1B模拟数据反演地表温度的两种单通道算法[J].自然科学进展,2008,18(9):1001-1008.
Duan S B,Yan G J,Qian Y G,et al.Two single channel algorithms for retrieving land surface temperature using HJ-1B remote sensing data[J].Progress in Natural Sccience,2008,18(9):1001-1008.
[23] 覃志豪,李文娟,徐 斌,等.利用Landsat TM6反演地表温度所需地表辐射率参数的估计方法[C]//第十四届全国遥感技术学术交流会论文选集.青岛:中国海洋学会,2003:9.
Qin Z H,Li W J,Xu B,et al.Estimation method of land surface emissivity for retrieving land surface temperature from Landsat TM6 data[C]//The 14th China Symposium of Remote Sensing Technology.Qingdao:Chinese society of Oceanography,2003:9.
[24] Moran M S,Clarke T R,Inoue Y,et al.Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index[J].Remote Sensing of Environment,1994,49(3):246-263.
[25] Stisen S,Sandholt I,Nørgaard A,et al.Combining the triangle method with thermal inertia to estimate regional evapotranspiration-Applied to MSG-SEVIRI data in the Senegal River basin[J].Remote Sensing of Environment,2008,112(3):1242-1255.
[26] 赵杰鹏,张显峰,廖春华,等.基于TVDI的大范围干旱区土壤水分遥感反演模型研究[J].遥感技术与应用,2011,26(6):742-750.
Zhao J P,Zhang X F,Liao C H,et al.TVDI based soil moisture retrieval from remotely sensed data over large arid areas[J].Remote Sensing Technology and Application,2011,26(6):742-750.
[27] Sobrino J A,Jiménez-Muñoz J C,Paolini L.Land surface temperature retrieval from LANDSAT TM 5[J].Remote Sensing of Environment,2004,90(4):434-440.
[28] Gao Z Q,Gao W,Chang N B.Integrating temperature vegetation dryness index(TVDI) and regional water stress index(RWSI) for drought assessment with the aid of LANDSAT TM/ETM+ images[J].International Journal of Applied Earth Observation and Geoinformation,2011,13(3):495-503.
[29] Carlson T N,Perry E M,Schmugge T J.Remote estimation of soil moisture availability and fractional vegetation cover for agricultural fields[J].Agricultural and Forest Meteorology,1990,52(1/2):45-69.
[30] 刘 英,马保东,吴立新,等.基于NDVI-ST双抛物线特征空间的冬小麦旱情遥感监测[J].农业机械学报,2012,43(5):55-63.
Liu Y,Ma B D,Wu L X,et al.Drought remote sensing for winter wheat based on double parabola NDVI-ST space[J].Transactions of the Chinese Society for Agricultural Machinery,2012,43(5):55-63.
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