بررسی سناریوهای مختلف وضوح طیفی در برآورد ویژگی‏ های هیدرولیکی خاک

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری گروه خاک‏شناسی دانشکدة کشاورزی دانشگاه تربیت مدرس تهران

2 استاد گروه خاک‏ شناسی دانشکدة کشاورزی دانشگاه تربیت مدرس تهران

3 استادیار سنجش از دور پژوهشکدة حفاظت خاک و آبخیزداری تهران

چکیده

توابع انتقالی خاک (PTFs) روشی غیر مستقیم برای برآورد ویژگی‏های هیدرولیکی خاک به کمک اطلاعات زودیافت خاک است که غالباً شامل بافت، مادة آلی، و جرم ویژة ظاهری خاک هستند. در چند دهة گذشته، مطالعاتی در زمینة برآورد مشخصه‏های مبنایی از روی اطلاعات طیفی خاک در گسترة مرئی و مادون قرمز نزدیک (350ـ 2500 نانومتر) انجام شده است. برآورد ویژگی‏های هیدرولیکی خاک به کمک رفتارسنجی طیفی خاک رویکرد نوینی است که چندان مد نظر قرار نگرفته است. در این پژوهش، قابلیت استفاده از توابع انتقالی طیفی (STFs) در قالب چهار سناریو شامل داده‏های طیفی در مقیاس آزمایشگاهی (سناریوی 1)، داده‏های طیفی در مقیاس سنجندة‏ Sentinel-2 (سناریوی 2)، داده‏های طیفی در مقیاس سنجندة ابرطیفی EnMap (سناریوی 3)، و مقایسة آن‏ها با نتایجِ کاربرد توابع Rosetta و HYPRES (سناریوی 4) در مقیاس‏های نقطه‏ای و واحد نقشة خاک به‏ منظور برآورد پارامترهای مدل معلم‌ـ ون‏گنوختن بررسی شد. به ‏منظور اشتقاق STFها، روش رگرسیون مرحله‏ای چندگانه و روش بوت‏استراپ به کار رفت. بهترین نتایج برای برآورد پارامترهای مدل معلم‌ـ ون‏گنوختن به‏ازای سناریوی 1 و 2 (متوسط  برابر 382/0، 029/0، 061/0، 634/0 برای ، ، ، ) به‏ دست آمد. همچنین، استفاده از سه سناریوی طیفی به بالاترین دقت در پیش‏بینی منحنی مشخصة رطوبتی (متوسط RMSR برابر 0337/0 سانتی‌متر مکعب بر سانتی‌متر مکعب) و هدایت هیدرولیکی خاک (متوسط RMSR برابر 015/1 سانتی‌متر بر روز) در مقایسه با سناریوی چهارم انجامید. این نتایج نشان می‏دهد استفاده از اطلاعات با وضوح طیفی مختلف می‏تواند روشی غیر مستقیم و سریع و کم‏هزینه در برآورد ویژگی‏های هیدرولیکی خاک، به‏ویژه در مقیاس بزرگ، باشد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Investigating Various Spectral Resolution Scenarios on Predicting Soil Hydraulic Properties

نویسندگان [English]

  • Ebrahim Babaeian 1
  • Mehdi Homaee 2
  • Ali Akbar Norouzi 3
1 PhD candidate, Department of Soil Science, Faculty of Agriculture, Tarbiat Modarres University, Tehran, Iran
2 Professor, Department of Soil Science, Faculty of Agriculture, Tarbiat Modarres University, Tehran, Iran
3 Assistant Professor, Soil Conservation and Watershed Management Research Institute (SCWMRI), Tehran, Iran
چکیده [English]

Pedotransfer functions (PTFs) have been developed to indirectly predict soil hydraulic properties (SHPs) from easily measurable soil properties mainly including textural properties, soil organic matter and bulk density. In the last few decades, several studies have addressed the potential of soil spectral information in visible, near-infrared (350-2500 nm), to provide predictors to estimate elementary soil properties. Predicting SHPs by soil spectral data is a new approach that has not yet been explored. In this study, the feasibility to estimate the Mualem-van Genuchten (MvG) hydraulic parameters was investigated using Spectro Transfer Functions (STFs). Four scenarios of data affrication namely: ASD full spectrum (scenario I), EnMAP (scenario II), Sentinel-2 (scenario III) satellite-based spectral resolution and laboratory and soil map-based Rosetta and HYPRESPTFs (scenario IV) were investigated. A Stepwise Multiple Linear Regression (SMLR) coupled with bootstrap method was employed to derive STFs. The most appropriate results for predicting MvG parameters were obtained for scenarios I and II. Compared with scenario IV, all the other three spectral scenarios performed reasonably well in terms of predicting soil water retention characteristics and unsaturated hydraulic conductivity. These findings suggest that spectral reflectance data at various spectral resolution levels is a promising indirect and quick method for large scale soil hydraulic parameter estimations.

کلیدواژه‌ها [English]

  • Spectral reflectance
  • Pedotransfer functions
  • spectrotransfer functions
  • soil water characteristics curve
  • Mualem-van Genuchten

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