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Designing of the perpendicular drought index 总被引：15，自引：0，他引：15
In this paper, a simple, effective drought monitoring method is developed using two dimensional spectral space obtained from
reflectance of near-infrared (NIR) and Red wavelengths. First, NIR–Red reflectance space is established using atmospheric
and geometric corrected ETM+ data, which is manifested by a triangle shape and in which different surface targets possess
certain spatial distribution rules. Second, perpendicular drought index (PDI) is developed on the basis of spatial characteristics
of moisture distribution in NIR–Red space, as well as the relationships between PDI and soil moisture is examined. Validation
work includes: comparison of PDI with in-situ drought index obtained from field measured data in the study area which includes
bulk soil moisture content at different soil depths, field moisture capacity and wilting coefficient, etc.; and comparison
of PDI with other recognized drought monitoring methods such as LST/NDVI and vegetation temperature condition index (VTCI).
It is evident from the results that graph of PDI of field measured plots demonstrates very similar trends with ground truth
drought data, LST/NDVI and VTCI. PDI is highly correlated with in-situ drought values calculated from 0 to 20 cm mean soil
moisture with correlation coefficients of R
2 = 0.49 (r = 0.75). This paper concludes that PDI has a potential in remote estimation of drought phenomenon as a simple, effective
drought monitoring index. 相似文献
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A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index 总被引：7，自引：0，他引：7
In this paper, a new method for canopy water content (FMC) estimation for highly vegetated surfaces- shortwave infrared perpendicular water stress index (SPSI) is developed using NIR, SWIR wavelengths of Enhanced Thematic Mapper Plus (ETM ) on the basis of spectral features and distribution of surface targets with different water conditions in NIR-SWIR spectral space. The developed method is further explored with radiative transfer simulations using PROSPECT, Lillesaeter, SailH and 6S. It is evident from the results of validation derived from satellite synchronous field measurements that SPSI is highly correlated with FMC, coefficient of determination (R squared) and root mean square error are 0.79 and 26.41%. The paper concludes that SPSI has a potential in vegetation water content estimation in terms of FMC. 相似文献
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干旱监测遥感支持系统的设计与实现 总被引：3，自引：0，他引：3
主要介绍了干旱监测遥感支持系统的设计和实现,说明了系统的整体框架结构及其所具备的通用性、可扩展性等特点。为了实现系统的可扩展性,根据COM原理,遥感支持系统开发了一个特别接口,用户可以借此向系统中添加自己开发的其他功能模块,或新的文件格式驱动。此外还着重介绍了垂直干旱指数的计算原理和程序实现算法,并结合宁夏试验区的实际应用对监测结果进行了展示。文中重点介绍了利用C＋＋语言实现垂直干旱指数（PDI）的详细步骤,并对其中寻找土壤点和内存管理等关键算法进行了细致分析。 相似文献
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新疆植被覆盖度趋势演变实验性分析 总被引：20，自引：1，他引：19
基于MODIS-NDVI数据,提取新疆2005-2015年植被覆盖度（FVC）。通过依据海拔和植被覆盖度的指标划分出山地、绿洲、平原、荒漠等11个子系统。通过斜率、变异系数、线性回归模型等方法来对全疆和不同生态分区的现状和未来发展趋势进行分析,并用BP人工神经网络来预测新疆2016-2020年的植被覆盖度的时空变化和分析2005-2020年时空动态变化趋势。主要结论为：① 新疆植被覆盖度总体为上升趋势,从西北向东南逐渐下降;山地呈逐年上升趋势,荒漠呈不显著退化趋势。植被覆盖度的变化主要是由降水量的变化引起;② 在整个新疆的荒漠和绿洲边缘构成了一个“绿洲—荒漠改善过渡带”,绿洲呈明显的改善趋势;③ 2009年是研究期内多数分区植被覆盖度的历史最低点;④ 在山脉的冰川积雪、湖泊周围的变异性很大,范围在150%~316%之间,这主要是由于气候变化、冰川消融和湖泊水位的波动变化所致;⑤ 北疆生态明显好于东疆与南疆,其绿洲区域呈现明显的改善趋势。伊犁地区的植被覆盖度相比于其他3个分区的变幅很大,山地区域呈明显的逐年退化趋势。伊犁地区植被覆盖度的局部最低点是在2008年,比其他分区的2009年提前了一年,相应的存在“实时”（伊犁）和“滞后”（东疆、南疆和北疆）的效应,主要是由于降水量和气温的变化所致。 相似文献
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GHULAN Abduwasit 《中国科学D辑(英文版)》2007,50(2):283-289
Drought is a complex natural disaster that occurs frequently. Soil moisture has been the main issue in remote monitoring of drought events as the most direct and important variable describing the drought. Spatio-temporal distribution and variation of soil moisture evidently affect surface evapotranspiration, agricultural water demand, etc. In this paper, a new simple method for soil moisture monitoring is de- veloped using near-infrared versus red (NIR-red) spectral reflectance space. First, NIR-red spectral reflectance space is established using atmospheric and geometric corrected ETM data, which is manifested by a triangle shape, in which different surface covers have similar spatial distribution rules. Next, the model of soil moisture monitoring by remote sensing (SMMRS) is developed on the basis of the distribution characteristics of soil moisture in the NIR-red spectral reflectance space. Then, the SMMRS model is validated by comparison with field measured soil moisture data at different depths. The results showed that satellite estimated soil moisture by SMMRS is highly accordant with field measured data at 5 cm soil depth and average soil moisture at 0―20 cm soil depths, correlation coef- ficients are 0.80 and 0.87, respectively. This paper concludes that, being simple and effective, the SMMRS model has great potential to estimate surface moisture conditions. 相似文献
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