Estimation and validation of snow surface temperature using modis data for snow-avalanche studies in NW-Himalaya

被引:0
|
作者
Negi H.S. [1 ]
Thakur N.K. [1 ]
Mishra V.D. [1 ]
机构
[1] Snow and Avalanche Study Establishment
关键词
Brightness Temperature; Land Surface Temperature; Automatic Weather Station; Snow Covered Area; Terra Satellite;
D O I
10.1007/BF02990785
中图分类号
学科分类号
摘要
Snow avalanche studies require different snow-meteorological parameters for avalanche forecasting. Snow surface temperature is one of the major parameters, which is responsible for the evolution of snow pack characteristics. In the present paper, the snow surface temperature was estimated using TERRA satellite based - Moderate resolution imaging spectroradiometer (MODIS) sensor for NW-Himalayas. Ground data observed by automatic weather stations (AWS) was used to calibrate the brightness temperature obtained by MODIS thermal bands data into the actual snow surface temperature data through regression analysis. A split window technique has been implemented for the estimation of snow surface temperature. The multi-date satellite derived snow surface temperature was validated with ground data of winter 2004-05 and 2005-06 collected at various observation stations located in different ranges of NW-Himalaya. Good correlations were observed for Upper Himalaya (0.98, 0.98), Middle Himalaya (0.92, 0.96) and Lower Himalaya (0.88, 0.82) for 2004-05 and 2005-06 winter respectively. Further, estimated snow surface temperature was also verified with snow-cover information collected by manned observatories and area delineated by thematic maps of snow surface temperature was validated with the different snow climatic zones of NW-Himalaya. © Springer-Verlag 2007.
引用
收藏
页码:287 / 299
页数:12
相关论文
共 50 条
  • [1] Estimation and validation of snow surface temperature using modis data for snow-avalanche studies in NW-Himalaya
    Negi, H. S.
    Thakur, N. K.
    Nushra, V. D.
    PHOTONIRVACHAK-JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2007, 35 (04): : 287 - 299
  • [2] Snow water equivalent estimation in the Mallero basin using snow gauge data and MODIS images and fieldwork validation
    Bavera, Davide
    De Michele, Carlo
    HYDROLOGICAL PROCESSES, 2009, 23 (14) : 1961 - 1972
  • [3] Retrieving Snow Surface Temperature Based on MODIS Data
    Zhou Ji
    Chen Yunhao
    Li Jing
    Tang Yan
    GEO-SPATIAL INFORMATION SCIENCE, 2008, 11 (04) : 247 - 251
  • [4] Retrieving snow surface temperature based on MODIS data
    Zhou, Ji
    Chen, Yunhao
    Li, Jing
    Jiang, Weiguo
    Geomatics and Information Science of Wuhan University, 2007, 32 (08) : 671 - 675
  • [5] AN IMPROVED ICE/SNOW SURFACE TEMPERATURE RETRIEVAL METHOD FOR ANTARCTIC MODIS DATA
    Liu, Tingting
    Wang, Zemin
    Liu, Jian
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 5208 - 5211
  • [6] An analysis of snow cover changes in the Himalayan region using MODIS snow products and in-situ temperature data
    Shreedhar Maskey
    Stefan Uhlenbrook
    Sunal Ojha
    Climatic Change, 2011, 108 : 391 - 400
  • [7] An analysis of snow cover changes in the Himalayan region using MODIS snow products and in-situ temperature data
    UNESCO-IHE Institute for Water Education, P.O. Box 3015, 2601 DA Delft, Netherlands
    不详
    不详
    Clim. Change, 1600, 1 (391-400):
  • [8] ESTIMATION OF SNOW WATER EQUIVALENT USING SENTINEL SAR DATA IN THE INDIAN HIMALAYA
    Patil, Akshay
    Singh, Gulab
    Ruediger, Christoph
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 2789 - 2792
  • [9] An analysis of snow cover changes in the Himalayan region using MODIS snow products and in-situ temperature data
    Maskey, Shreedhar
    Uhlenbrook, Stefan
    Ojha, Sunal
    CLIMATIC CHANGE, 2011, 108 (1-2) : 391 - 400
  • [10] Estimating fractional snow cover in vegetated environments using MODIS surface reflectance data
    Xiao, Xiongxin
    He, Tao
    Liang, Shunlin
    Liu, Xinyan
    Ma, Yichuan
    Liang, Shuang
    Chen, Xiaona
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 114