The New Method Monitoring Agricultural Drought Based on SWIR-Red Spectrum Feature Space
FENG Hai-xia1,3, QIN Qi-ming1*, LI Bin-yong2, LIU Fang1, JIANG Hong-bo1, DONG Heng1, WANG Jin-liang1, LIU Ming-chao1, ZHANG Ning1
1. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China 2. National Marine Environmental Monitoring Center, Dalian 110623, China 3. Shandong Jiaotong University, Ji’nan 250023, China
Abstract：Drought was a chronic, natural disaster，and Remote sensing drought monitoring had become a potential research field. In the present, short-wave infrared and red bands which sensitive to moisture variation were selected to monitor farmland drought conditions by analyzing the spectral characteristics of vegetation and soil. The goal of this paper was to provide a new method of drought monitoring——normalized drought monitoring index (NPDI), based on new constructed spectrum feature space by the difference of SWIR and Red and the sum of SWIR and Red. Field surveyed soil moisture verified NPDI model, and the result showed that NDPI and MPDI model could effectively monitor agricultural drought, and that had high correlation with soil moisture. The R2 was 0.583 and 0.438 with soil water of 10 cm. The monitoring effect of NPDI model was better than the MPDI. This model was further improvement to PDI and MPDI, and it could monitor the drought condition of different vegetation coverage and whole growing season. It has high application potential and popularization value.
冯海霞1,3，秦其明1*，李滨勇2，刘 芳1，蒋洪波1，董 恒1，王金梁1，刘明超1，张 宁1 . 基于SWIR-Red光谱特征空间的农田干旱监测新方法[J]. 光谱学与光谱分析, 2011, 31(11): 3069-3073.
FENG Hai-xia1,3, QIN Qi-ming1*, LI Bin-yong2, LIU Fang1, JIANG Hong-bo1, DONG Heng1, WANG Jin-liang1, LIU Ming-chao1, ZHANG Ning1. The New Method Monitoring Agricultural Drought Based on SWIR-Red Spectrum Feature Space . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(11): 3069-3073.
[1] Peters A J, Walter-Shea E A, Lei J, et al. Photogrammetric Engineering and Remote Sensing, 2002, 65(1)：71. [2] Yao Y J, Liang S L, Qin Q M, et al. Journal of Applied Meteorology Climatology, 2010, 49(8): 1665. [3] Jackson T J, Cosh M H, Bindlish R, et al. IEEE Transaction on Geoscience and Remote Sensing, 2010, 48(12): 4256. [4] Han Ping, Wang Pengxin, Zhang Shuyu, et al. Mathematical and Computer Modelling, 2010, 51: 1398. [5] WAN Zheng-ming, WANG Peng-xin, LI Xiao-wen. International Journal of Remote Sensing, 2004, 25(1): 61. [6] Chandrasekar K, Sai MVRS, Roy PS, et al. International Journal of Remote Sensing, 2010, 31(15): 3987. [7] Raghavendra B Jana, Binayak P Mohanty. Journal of Hydrology, 2011, 399: 201. [8] Ghulam A, Kusky T, Teyip T，et al. Photogrammetric Engineering and Remote Sensing, 2011，77(2): 149. [9] HAN Li-juan, WANG Peng-xin, WANG Jin-di, et al(韩丽娟，王鹏新，王锦地，等). Science in China(Series D: Earth Sciences)(中国科学D·地球科学), 2005, 35(4): 371. [10] ZHAN Zhi-ming, QIN Qi-ming, Abduwasit Ghulam, et al(詹志明，秦其明，阿布都瓦斯提·吾拉木，等). Science in China(Series D: Earth Sciences)(中国科学D·地球科学), 2006, 36(11): 1020. [11] Abduwasit Ghulam, QIN Qi-ming, ZHAN Zhi-ming. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62: 150. [12] Abduwasit Ghulam, LI Zhao-liang, QIN Qi-ming, et al(阿布都瓦斯提·吾拉木，李召良，秦其明, 等). Science in China(Series D: Earth Sciences)(中国科学D·地球科学), 2007，37(7)：957. [13] Kogan F N. Advances in Space Research, 1995, 15: 91. [14] Tang Ronglin, Li Zhaoliang, Tang Bohui. Remote Sensing of Environment, 2010, 114: 540. [15] Richardson A J, Wiegand C L. Photogrammetric Engineering and Remote Sensing, 1977, 43(12): 1541. [16] Vermote E F, Tanre D, Deuze J L, et al. User’s Guide. France: Laboratoire d’optique Atmospherique, 1997. [17] DU Xin, CHEN Xue-yang, MENG Ji-hua, et al(杜 鑫，陈雪洋，蒙继华，等). Remote Sensin for Land & Resource(国土资源遥感), 2010, 2: 22. [18] Abduwasit Ghulam, Qin Qiming, Zhu Lin, et al. International Journal of Remote Sensing, 2004, 25(23): 5509.
