ارایه‌ی یک روش نوین تخمین رطوبت خاک با استفاده از تصاویر سنجش از دور نوری

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری آبیاری و زهکشی-مهندسی علوم آب- شهید چمران اهواز- ایران

2 استاد گروه آبیاری و زهکشی دانشکده مهندسی علوم آب دانشگاه شهید چمران اهواز.ایران

3 استادیار گروه سنجش از راه دور و GIS دانشکده جغرافیا دانشگاه تهران. ایران

4 استادگروه گیاه شناسی، خاک، آب و هوا، دانشکده کشاورزی دانشگاه یوتا، لوگان، آمریکا

چکیده

بررسی فرآیندهای سطح زمین با استفاده از سنجش از دور نوری به­طور عام به باند­های الکترومغناطیسی قرمز، سبز، آبی (RGB)، مادون قرمز (NIR) و موج کوتاه (SWIR) مرتبط می­شود. در روش تخمین رطوبت خاک با استفاده از تصاویر سنجش از دور نوری، با فرض ارتباط خطی بین بازتابش­های قرمز و مادون قرمز ((Red-NIR، خط عاری از پوشش گیاهی (خط خاک) به­عنوان خط مبنا در نظر گرفته شده و خطوط هم­رطوبت به شکل عمود بر این خط مورد بررسی قرار می‌گیرند. این مطالعه قصد دارد نشان دهد که فرضیه­ی فعلی برپایه­ی هندسه­ی فضایی Red-NIR، همواره مستحکم نیست و در پاره­ای از موارد، تخمین اشتباهی از رطوبت خاک ارائه می­دهد. بدین منظور یک روش نوین تخمین رطوبت خاک در این فضا پیشنهاد شد که بر پایه‌ی تعریف جدیدی از خطوط هم­رطوبت خاک است. مدل پیشنهادی این مطالعه به مدل تغییر یافته­ی فضای Red-NIR (TRN) مصطلح شد. این مدل با مدل رایج فضای Red-NIR (CRN) با استفاده از تصاویر ماهواره­ی لندست-8 در مزارع نیشکر سلمان فارسی استان خوزستان مقایسه شد. 12 تصویر لندست 8 در طول دوره رشد نیشکر مورد استفاده قرار گرفت. برای اعتبار سنجی نتایج سنجش از دور، رطوبت خاک در 22 نقطه در 5 عمق مختلف اندازه‌گیری شد. نتایج نشان داد که مدل TRN پیشنهادی تطابق بیشتری با مشاهدات میدانی داشت و به­طور علمی، صحت و دقت استفاده از فضای Red-NIR در زمینه تخمین رطوبت خاک را بهبود بخشید.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Presenting a New Method for Soil-moisture Estimation Using Optical Remotely-sensed Imagery

نویسندگان [English]

  • Hassan Foroughi 1
  • Abd Ali Naseri 2
  • Saeed Boroomandnasab 2
  • Saeid Hamzeh 3
  • scott B.Jons 4
1 PhD student of Irrigation & Drainage-Water Science faculty-Shahid Chamran University of Ahvaz-iran
2 Professor of Irrigation and Drainage Department water science faculty Shahid Chamran University of Ahvaz, Ahvaz, Iran
3 Assisstant professor of GIS and RS , Geography faculty University of Tehran, Iran
4 Professor of Plants, Soils, and Climate.Agricuture Faculty Utah State University, Logan,USA
چکیده [English]

Optical remote sensing of earth surface processes commonly relies on the Red, Green, Blue (RGB), Near Infrared (NIR) and Shortwave Infrared (SWIR) electromagnetic bands. In soil-moisture estimation method using optical remotely-sensed imagery, by assuming a linear relationship between the Red-NIR reflectance, the line of bare soil (soil line) is established as the base and then moisture isoclines are assumed perpendicular to the soil line. This study is intended to show that this assumption is not consistent with the actual Red-NIR space geometry, which in many cases introduces soil moisture estimation errors. Therefore, a new mathematical transformation method was proposed to the original Red-NIR space followed by newly-defined soil moisture isolines. This new Transformed Red-NIR (TRN) model was compared with the conventional Red-NIR (CRN) model using data from Salman Farsi sugarcane field located in Khozestan province in southwestern of Iran. Twelve Landsat-8 satellite images were used during the sugarcane growing season. For validation of the remotely sensed data, ground reference soil moisture was measured at 22 locations at five different depths. Results of the proposed new method significantly improved accuracy of the Red-NIR approach to remote sensing of soil moisture.

کلیدواژه‌ها [English]

  • Soil moisture estimation
  • optical remote sensing
  • red band
  • near infrared band
  • triangle method

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تحقیقات آب و خاک ایران
دوره 50، شماره 3
مرداد 1398
صفحه 641-652

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