1 / 7

LST Product and Validation Summary

LST Product and Validation Summary. 1. The daily daytime and nighttime 1km LST products. - MOD11_L2 validated at stage 1(- > 2) in June-July 2000 (V4),. March and July 2001, July-August 2002 (V3), Jan. 2003 (V4). - Larger errors may occur in semi-arid and arid regions.

armand
Télécharger la présentation

LST Product and Validation Summary

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. LST Product and Validation Summary 1. The daily daytime and nighttime 1km LST products - MOD11_L2 validated at stage 1(->2) in June-July 2000 (V4), March and July 2001, July-August 2002 (V3), Jan. 2003 (V4). - Larger errors may occur in semi-arid and arid regions. - MOD11A1, L3, at 1km grids mapped from MOD11_L2. 2. MOD11B1 – daily 5km LST/emissivity product validated at stage 1 in 2000 & Jan 2003 (V4) and July 2001(V3). Larger errors for grids on slopes or with unexpected clouds. 3. MOD11A2, 8-day 1km LST product from MOD11A1. 4. CMG LST MOD11C series will be released soon. 5. Publications of the validation results (1) Wan et al., Remote Sensing of Envir., 83:163-180, 2002. (2) Wan et al., Int. J. of Remote Sensing, accepted 2003.

  2. Applications of the MODIS LST product - To Address the ESE Key Research Questions • LST changes due to natural variability and human activities, affects ecosystems and human daily lives • to validate and improve the global meteorological model prediction (e.g., in DAO and NCAR models) • used in land cover classification and change studies • in water resource and global change studies • in estimate and parameterization of surface fluxes • to evaluate water requirements of crops • to estimate drought-ness and surface soil moisture

  3. Validation of the MODIS TIR data and LST products (test sites – relevant to LST applications) Lake Titicaca Walker Lake, NV Snowcover, Bridgeport, CA Rice field in Chico, CA Bridgeport grassland, CA Soybean field, MS

  4. Validation of the MODIS TIR data and LST products Four field campaigns in 2000: 1. Early April in Mono Lake and Bridgeport grassland, CA; 2. May/June in Lake Titicaca, Bolivia; 3. July in Railroad Valley NV, Mono Lake, grassland and rice field in CA; 4. Early October in Mono Lake and Bridgeport, CA. Four field campaigns in 2001: 1. March-April in Bridgeport CA and Walker Lake in NV; 2. mid-late July in Railroad, Mono Lake, and Bridgeport; 3. August in Bridgeport and Walker Lake; 4. October in Walker Lake and Bridgeport. Three field campaigns in 2002: 1. July in agricultural fields in Mississippi; 2. August in Bridgeport CA and Walker Lake in NV; 3. November in Walker Lake, NV. The1st field campaign in Jan 2003 in Walker Lake, NV.

  5. Major Validation/Calibration Results 1. The LST products were validated within 1K with in situ LSTs in 28 cases (including19 cases over land sites) in the LST range of 263-322K and the atmospheric cwv range of 0.4~4.0cm, in field campaigns conducted in 2000 - Jan 2003, most of them in CA & NV. 2. The averaged calibration bias of Terra MODIS agrees with the calibration bias of Aqua MODIS within 0.2K in bands 20, 22-23, 29, and 31-33. Therefore,a combined use of Terra and Aqua MODIS data in the seven bands should improve the quality of MODIS LST products.

  6. Next Steps for the MOD11 Products 1. A combined use of Terra and Aqua MODIS data will be implemented thru interim files to improve the quality of the MOD11B and MOD11C LST products. For example: LST product from Terra and Aqua MODIS data in June 25-26 and July 4-9, 2002. RGB components are emissivities in bands 29, 22 and 20 retrieved from Terra and Aqua data. RGB components are emissivities in bands 29, 31 and 32 enhanced by histogram equalization. • Terrain slope and aspect will be considered in the day- • night LST algorithm for the viewing angle dependence in • the surface emissivity.

  7. Next Steps for the MOD11 Products (continue) 3. Conduct vicarious calibration and validation field campaigns to evaluate the consistency of the LST product’s accuracy for the long-term need of the global change studies. June 2000 July 2000 Sept 2000 Aug 2000 V4 monthly composite daytime LST at color scale of 200-340K

More Related