Impact of variable atmospheric water vapor content on AVHRR data corrections over land
نویسندگان
چکیده
This paper explores the impact of the integrated water vapor content (IWV) in the atmospheric column on the corrections of optical satellite data over land. First, simulation runs were used to quantify the trends in red and near infrared parts of the electromagnetic spectrum. Second, advanced very high resolution radiometer (AVHRR) measurements obtained over Canada during the 1996 growing season, together with reanalyzed IWV content data, were employed to determine the actual impact of constant IWV values. Third, various options in characterizing IWV for atmospheric corrections of AVHRR composites were examined. It was found that 1) as expected, IWV affects near-infrared radiation substantially more than red, although the latter is also altered; 2) that additional, subtle interactions take place between IWV, radiance levels, and viewing geometry that influence the retrieved surface reflectance; 3) that spatial and temporal variation in IWV caused changes in the normalized difference vegetation index up to 7.5% in relative terms during the peak green period; and 4) that IWV varies so substantially that pixeland date-specific values need to be used for the atmospheric correction of AVHRR data. At present, subdaily gridded IWV data sets from atmospheric data reanalysis projects are the only candidate source for such purpose.
منابع مشابه
A generalized split-window algorithm for retrieving land-surface temperature from space
We propose a generalized split-window method for retrieving land-surface temperature (LST) from AVHRR and MODIS data. Accurate radiative transfer simulations show that the coefficients in the split-window algorithm for LST must vary with the viewing angle, if we are to achieve a LST accuracy of about 1 K for the whole scan swath range (1t5.5" from nadir) and for the ranges of surface temperatur...
متن کاملCross Comparison of Spot-4 Vegetation and Noaa-14 Avhrr
Spectral vegetation indices obtained from satellite sensors have been used to measure and monitor the Earth’s vegetative cover from local, regional, to global scales. The normalized difference vegetation index (NDVI) has been the most widely-used index and shown to correlate with green leaf area index, green biomass, and net primary productivity. The NDVI from the two sensors, National Oceanic ...
متن کاملCalculating of Radiosonde Precipitable water using MODIS Satellite images in Goorganrood basin
Deficiency of atmospheric water vapor profile data is one of most important problems in the flood hazard researches for areas flooding such as Goorganrood basin, because of no radiosonde stations. With the aim of radiosonde data generation retrieved radiance MODIS data, after Geometric and radiometric corrections, on 21 and 8 august 2005 from MODIS-Level 1, In order to make spatial TPW maps of ...
متن کاملA simplified method for estimating the total water vapor content over sea surfaces using NOAA-AVHRR channels 4 and 5
A simplified method for estimating the total amount of atmospheric water vapor, , over sea surfaces using NOAA-AVHRR Channels 4 and 5 is presented. This study has been carried out using simulated AVHRR data at 11 and 12 m (with MODTRAN 3.5 code and the TIGR database) and AVHRR, PODAAC, and AVISO databases provided by the Louis Pasteur University (Strasbourg-France), NASA-NOAA, and Météo France,...
متن کاملErrors analysis on temperature and emissivity determination from hyperspectral thermal infrared data.
Sensitivity analysis of temperature-emissivity separation method commonly applied to hyperspectral data to various sources of errors is performed in this paper. In terms of resulting errors in the process of retrieving surface temperature, results show that: (1) Satisfactory results can be obtained for heterogeneous land surfaces and retrieval error of surface temperature is small enough to be ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- IEEE Trans. Geoscience and Remote Sensing
دوره 39 شماره
صفحات -
تاریخ انتشار 2001