| High-resolution Surface Relative Humidity Computation Using MODIS Image in Peninsular Malaysia |
| |
| 作者姓名： | PENG Guangxiong LI Jing CHEN Yunhao Abdul Patah NORIZAN Liphong TAY |
| |
| 作者单位： | Malaysian Centre for Remote Sensing Kuala Lumpur 50480 Malaysia，Technology Park Malaysia Kuala Lumpur 57000，Malaysia |
| |
| 基金项目： | Under the auspices of the Airborne Remote Sensing (MARS) Program of Malaysia (No. KSTAS/MACRES/T/2/2004) |
| |
| 摘 要： | 1 Introduction The Canadian Fire Weather Index (FWI) System can be used in applied forestry as a tool to investigate and manage all types of fire management (Chrosciewicz, 1978; McRae, 1980; Fyles et al., 1991; McRae et al., 1994). The development of the FWI system (Van Wag- ner, 1987; 1990) over the last two decades allows the routine prediction of fire behavior from weather data (Fyles et al., 1991). The FWI is calculated from point measurements of air temperature, relative humidity…
|
| 关 键 词： | 相对湿度 MODIS 遥感技术 气象要素 空气温度 水汽 |
| 收稿时间： | 2006-05-04 |
| 修稿时间： | 2006-07-17 |
High-resolution surface relative humidity computation using MODIS image in Peninsular Malaysia |
| |
| PENG Guangxiong LI Jing CHEN Yunhao Abdul Patah NORIZAN Liphong TAY.High-resolution Surface Relative Humidity Computation Using MODIS Image in Peninsular Malaysia[J].Chinese Geographical Science,2006,16(3):260-264. |
| |
| Authors: | Guangxiong Peng Jing Li Yunhao Chen Abdul Patah Norizan Liphong Tay |
| |
| Institution: | (1) College of Resources Science & Technology, Beijing Normal University, Beijing, 100875, China;(2) Malaysian Centre for Remote Sensing, Kuala Lumpur, 50480, Malaysia;(3) Technology Park Malaysia, Kuala Lumpur, 57000, Malaysia |
| |
| Abstract: | Forest fire is a serious disaster all over the world. The Fire Weather Index (FWI) System can be used in ap- plied forestry as a tool to investigate and manage all types of fire. Relative humidity (RH) is a very important parameter to calculate FWI. However, RH interpolated from meteorological data may not be able to provide precise and confident values for areas between far separated stations. The principal objective of this study is to provide high-resolution RH for FWI using MODIS data. The precipitable water vapor (PW) can be retrieved from MODIS using split window tech- niques. Four-year-time-series (2000-2003) of 8-day mean PW and specific humidity (Q) of Peninsular Malaysia were analyzed and the statistic expression between PW and Q was developed. The root-mean-square-error (RMSE) of Q es- timated by PW is generally less than 0.0004 and the correlation coefficient is 0.90. Based on the experiential formula between PW and Q, surface RH can be computed with combination of auxiliary data such as DEM and air temperature (Ta). The mean absolute errors of the estimated RH in Peninsular Malaysia are less than 5% compared to the measured RH and the correlation coefficient is 0.8219. It is proven to be a simple and feasible model to compute high-resolution RH using remote sensing data. |
| |
| Keywords: | relative humidity precipitable water vapor specific humidity MODIS |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
