معرفی نقشه‌برداری رقومی خاک

نوع مقاله: علمی ترویجی

نویسندگان

1 بخش تحقیقات خاک و آب، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی سیستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، زابل، ایران

2 بخش تحقیقات خاک و آب، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی اصفهان، سازمان تحقیقات، آموزش و ترویج کشاورزی، اصفهان، ایران

3 گروه علوم خاک، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران

چکیده

نقشه­ برداری رقومی خاک[1]یکی از زیرشاخه­ های علم خاکشناسی است که در سال 2003 توسط مک ­براتنی و همکاران او معرفی شد و از آن زمان تاکنون پیشرفت­ها و خروجی­ های تحقیقاتی زیادی در سطح جهانی داشته است. نقشه­ برداری رقومی خاک عبارت از ایجاد و جمع­ آوری سیستم­های اطلاعات مکانی خاک با استفاده از روش­های مشاهدات میدانی و آزمایشگاهی که با داده­ های محیطی از طریق ارتباطات کمی همراه شده­اند.نقشه­ برداری رقومی خاک منجر به ایجاد خروجی به صورت نقشه رستری تخمین، همراه با عدم قطعیت پیش­ بینی می­شود. افزایش دسترسی به داده­ های مکانی مانند مدل رقومی ارتفاع و تصاویر ماهواره ­ای، افزیش نیروی محاسباتی برای پردازش داده­ ها، توسعه ابزارهای داده­ کاوی و سامانه اطلاعات جغرافیایی و افزایش تقاضای جهانی به داده­ های مکانی دارای ارزیابی عدم قطعیت از عوامل تاثیرگذار در موفقیت نقشه­ برداری رقومی خاک بوده ­اند. در این مقاله به وضعیت تکاملی نقشه­ برداری رقومی خاک، متغیرهای کمکی، مثال­ هایی از مدل­سازی و مطالعات انجام شده در ایران پرداخته شده است.



[1]Digital soil mapping

کلیدواژه‌ها


عنوان مقاله [English]

Digital soil mapping

نویسندگان [English]

  • m p 1
  • n t 2
  • f kh 3
چکیده [English]

Digital soil mapping (DSM),as one of the sub-disciplines of soil science, was first introduced in McBratny et al. in 2003. It has since then witnessed many developments and has had a lot of scientific contributions at the global level. DSM aims to create and populate spatial soil information collected through field and laboratory observations that are coupled through quantitative relationships with environmental data. The output involves raster maps of predictions and uncertainties. The enhanced availability of spatial data, such as digital elevation models and satellite images; the increasing computation power to process data; the development of data-mining tools and GIS; and increasing global demand for spatial data including uncertainty assessments are some of the factors that have led to the success of field.This paper reviews the development of digital soil mapping through time, the covariates, some modeling examples,and the DSM studies so far carried out in Iran.

کلیدواژه‌ها [English]

  • Soil map
  • modeling
  • Uncertainty
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