سال 14، شماره 2 - ( تابستان 1403 )
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eghtedarnezhad M, Malekinezhad H, Rafiei sardooi E. Soil moisture estimation based on MODIS NDVI and LST productions in areas with no data. E.E.R. 2024; 14 (2) :141-160
URL: http://magazine.hormozgan.ac.ir/article-1-825-fa.html
URL: http://magazine.hormozgan.ac.ir/article-1-825-fa.html
اقتدارنژاد مینا، ملکی‌نژاد حسین، رفیعی ساردوئی الهام. برآورد رطوبت خاک بر اساس تولیداتNDVI و LST مودیس در مناطق فاقد داده. پژوهش هاي فرسايش محيطي. 1403; 14 (2) :141-160
گروه مرتع و آبخیزداری، دانشکده منابع طبیعی و کویرشناسی، دانشگاه یزد، یزد & گروه مرتع و آبخیزداری، دانشکده منابع طبیعی و کویرشناسی، دانشگاه یزد، یزد ، hmalekinezhad@yazd.ac.ir
چکیده: (1506 مشاهده)
برآورد رطوبت خاک سطحی برای مدیریت بهینه منابع آب و خاک ضروری است. رطوبت خاک سطحی، متغیری مهم در چرخه آبی طبیعت است که نقش مهمی در تعادل جهانی آب و انرژی و فرآیندههای هیدرولوژیک، اکولوژیک و هواشناسی دارد. رطوبت خاک بهدلیل تغییرپذیری ویژگیهای خاک، توپوگرافی، پوشش گیاهی و پویایی نیوار در زمان و مکان تغییر میکند. اندازهگیری رطوبت خاک، بهطور مستقیم با استفاده از اندازهگیریهای میدانی مانند نوترونمتر و [1]TDR یا بهطور غیر مستقیم بهوسیله توابع انتقالی و یا سنجش از دور انجام میشود. از آنجا که اندازهگیریهای میدانی معمولا در پهنههای وسیع هم هزینهبر و هم زمانبر و گاهی نشدنی میباشد، برای برآورد رطوبت خاک در مقیاسهای مکانی بسیار بزرگ، میتوان روشهایی همچون سنجش از دور را بهکار گرفت. این تحقیق با هدف بررسی امکان برآورد رطوبت لایه سطحی خاک با استفاده از تصاویر سنجنده مودیس و مقایسه آن با دادههای زمینی انجام شد. در این مطالعه، رطوبت خاک در عمقهای صفر تا سی سانتیمتر با استفاده از رابطه بین شاخص گیاهی ماهوارهای ([2]NDVI)، دمای سطح زمین (LST[3]) و رطوبت مشاهدهای خاک در مقیاس منطقهای با تفکیک مکانی یک کیلومترمربع برای سالهای 2021 و 2022 برآورد شد. ضریب تعیین R2 و AIC معادلات رگرسیون بهترتیب 78/0 و 2/166 بهدست آمد که نشان می‌دهد رویکرد برآورد بر اساس دادههای NDVI و LST مودیس، مناسب بوده و می‌تواند برای تخمین رطوبت خاک طی سالهای 2007 تا 2022 استفاده شود.
[1] Time Domain Reflectometry
[2] Normalized Difference Vegetation Index
[3] Land Surface Temperature
واژه‌های کلیدی: رطوبت خاک، سنجش از دور، NDVI، LST.
نوع مطالعه: مستخرج از پایان‌نامه / رساله / طرح پژوهشی |
موضوع مقاله:
مدلسازی و تحلیل زمانی و مکانی رخداد انواع مختلف فرسایش محیطی
دریافت: 1402/8/12 | انتشار: 1403/4/10
دریافت: 1402/8/12 | انتشار: 1403/4/10
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