基于Modis-TVDI方法的山东小麦生长季旱情遥感监测
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摘要
遥感监测旱情比传统监测方法有巨大的优势,具有宏观、动态和经济的技术特点,对于指导农业生产有重要的意义。利用Modis数据,结合Ts-NDVI特征空间法,得到山东省2012年小麦主要生长季3—6月地表温度和NDVI空间变化特征,计算了植被缺水指标——温度植被干旱指数(TVDI),并对各个月份的旱情作了初步划分,得到旱情的空间分布。提供了一种识别旱情的方法,对于及时发现旱情,采取相关措施缓解旱情,指导农业生产工作开展具有一定的意义。
引文
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[12]姚春生,张增祥,汪潇.使用温度植被干旱指数法(TVDI)反演新疆土壤湿度[J].遥感技术与应用,2004,19(6):473-478.
[13]张顺谦,卿清涛,侯美亭,等.基于温度植被干旱指数的四川伏旱遥感监测与影响评估[J].农业工程学报,2007,23(9):141-146.
[14]季国华,胡德勇,王兴玲,等.基于Landsat 8数据和温度-植被指数的干旱监测[J].自然灾害学报,2016,25(2):43-52.
[15]刘星含.基于MODIS-TVDI方法的新疆干旱监测研究[D].荆州:长江大学,2015.
[16]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):213-224.
[17]刘浩.基于MODIS数据的土壤湿度反演研究——以黄河三角洲地区为例[D].烟台:鲁东大学,2014.
[18]段海霞,王素萍,冯建英. 2012年全国干旱状况及其影响与成因[J].干旱气象,2013,31(1):220-229.
[2]李震坤,王云龙,钱艳园,等.基于植被指数和地表温度的冬小麦遥感干旱监测[J].北方环境,2011(8):157-160.
[3]陈诚,赵书河.基于TRMM降雨数据的中国黄淮海地区干旱监测分析[J].国土资源遥感,2016,28(1):122-129.
[4]张芳.基于MODIS的陕西省干旱遥感监测研究[D].西安:陕西师范大学,2008.
[5]周磊,武建军,张洁.以遥感为基础的干旱监测方法研究进展[J].地理科学,2015,35(5):630-636.
[6]Nemani R R,Running S W. Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data[J].Journal of Applied Meteorology,1989,28(4):276-284.
[7]Price J C. Using spatial context in satellite data to infer regional scale evapotranspiration[J]. IEEE Transactions on Geoscience&Remote Sensing,1990,28(5):940-948.
[8]Carlson T N,Capehart W J,Gillies R R. A new look at the simplified method for remote sensing of daily evapotranspiration[J]. Remote Sensing of Environment,1995,54(2):161-167.
[9]Moran M S,Jackson R D,Raymond L H,et al. Mapping surface energy balance components by combining Landsat thematic mapper and ground-based meteorological data[J]. Remote Sensing of Environment,1989,30(1):77-87.
[10]Goward S N,Xue Y,Czajkowski K P. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements:an exploration with the simplified simple biosphere model[J]. Remote Sensing of Environment,2002,79(2):225-242.
[11]齐述华,王长耀,牛铮.利用温度植被旱情指数(TVDI)进行全国旱情监测研究[J].遥感学报,2003,7(5):420-427.
[12]姚春生,张增祥,汪潇.使用温度植被干旱指数法(TVDI)反演新疆土壤湿度[J].遥感技术与应用,2004,19(6):473-478.
[13]张顺谦,卿清涛,侯美亭,等.基于温度植被干旱指数的四川伏旱遥感监测与影响评估[J].农业工程学报,2007,23(9):141-146.
[14]季国华,胡德勇,王兴玲,等.基于Landsat 8数据和温度-植被指数的干旱监测[J].自然灾害学报,2016,25(2):43-52.
[15]刘星含.基于MODIS-TVDI方法的新疆干旱监测研究[D].荆州:长江大学,2015.
[16]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):213-224.
[17]刘浩.基于MODIS数据的土壤湿度反演研究——以黄河三角洲地区为例[D].烟台:鲁东大学,2014.
[18]段海霞,王素萍,冯建英. 2012年全国干旱状况及其影响与成因[J].干旱气象,2013,31(1):220-229.