نوع مقاله : مطالعه موردی

نویسندگان

1 استادیار، پژوهشکده حفاظت خاک و آبخیزداری کشور، سازمان تحقیقات، آموزش و ترویج کشاورزی، تهران، ایران

2 دانشیار، پژوهشکده حفاظت خاک و آبخیزداری کشور، سازمان پژوهشات، آموزش و ترویج کشاورزی، تهران، ایران

3 استاد، پژوهشکده حفاظت خاک و آبخیزداری کشور، سازمان پژوهشات، آموزش و ترویج کشاورزی، تهران، ایران

چکیده

هدف پژوهش حاضر ارزیابی کارایی داده‌های رطوبت خاک برآوردی حاصل از پایگاه داده GLDAS، ESA و سنجنده‌ SMAP در مقابل داده‌های زمینی ایستگاه هواشناسی کشاورزی سیلاخور به‌منظور بررسی تغییرات مکانی و زمانی رطوبت خاک است. داده‌های مورد استفاده در این پژوهش شامل داده‌های رطوبت خاک ایستگاه‌ هواشناسی کشاورزی سیلاخور، محصولات رطوبت خاک به­دست آمده از پایگاه داده‌های GLDAS، مرکز ESA و سنجنده SMAP طی دوره شش ساله 2016-2021  است. ارزیابی داده‌های رطوبت خاک برآوردی در مقابل داده‌های ایستگاهی با استفاده از آماره‌های R2، RMSE و MAD انجام شد. نتایج نشان داد که هرچند مقادیر آماره‌های به‌کاربرده شده بیانگر کم برآوردی ماهواره SMAP و بیش برآوردی مدل GLDAS و ماهواره ESA CCI SM از رطوبت خاک منطقه در برابر داده‌های ایستگاهی ثبت شده است، در حالت کلی مقادیر رطوبت خاک برآوردی از دقت مناسبی برخوردارند. مقدار ضریب همبستگی بین داده‌های رطوبت خاک مشاهداتی با داده‌های رطوبت خاک حاصل از ماهواره‌های SMAP و ESA CCI SM و مدل GLDAS به ترتیب 62/0، 59/0 و 72/0 به دست آمد که در حالت ترکیبی مقدار ضریب همبستگی به 77/0 افزایش پیدا می‌کند. با توجه به مقادیر همبستگی، پیشنهاد می‌شود برای بررسی رطوبت خاک از داده‌های ترکیبی استفاده شود. 

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province)

نویسندگان [English]

  • Abdolnabi Abdeh kolahchi 1
  • Morteza Miri 1
  • Mehran Zand 2
  • Jahangir Porhemmat 3

1 Assist. Professor., Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization, Tehran, Iran

2 Assoc. Professor., Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization, Tehran, Iran

3 Professor, Soil Conservation and Watershed Management Research Institute (SCWMRI), Agricultural Research, Education and Extension Organization, Tehran, Iran

چکیده [English]

The aim of this study was to evaluate the effectiveness of estimated soil moisture data obtained from the GLDAS, ESA and SMAP sensor databases with the observed data of the Silakhor Agricultural Meteorological Station to investigate the spatial and temporal variation of soil moisture in Lorestan province. The data used in this research include the soil moisture data of the Silakhor station, GLDAS database, ESA center and SMAP sensor products during a six-year period (2016-2021). Estimated soil moisture data were evaluated against observed data using R2, RMSE and MAD statistics. The results showed that the SMAP satellite is associated with underestimation and the GLDAS model and the ESA satellite are associated with overestimation of soil moisture. However, in general, the estimated soil moisture values of the three mentioned sources have good accuracy. The value of the correlation coefficient between observed soil moisture data with soil moisture data obtained from SMAP and ESA satellites and GLDAS model was obtained as 0.62, 0.59 and 0.72 respectively, and in the combined case (SMAP, ESA and GLDAS) the value of correlation coefficient was increased to 0.77, therefore, it is suggested to use combine data to use soil moisture estimation.

کلیدواژه‌ها [English]

  • ESA
  • GLDAS
  • SMAP
  • Soil Moisture
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