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تلفیق تصاویر دمای سطح زمین مودیس و لندست-8 با استفاده از مدل تلفیق مکانی-زمانی تصویر | ||
| تحقیقات آب و خاک ایران | ||
| مقاله 18، دوره 51، شماره 3، خرداد 1399، صفحه 763-773 اصل مقاله (1.33 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2019.291016.668360 | ||
| نویسندگان | ||
| مرتضی کفاش1؛ سید حسین ثنائی نژاد* 2 | ||
| 1دانشجوی دکتری هواشناسی کشاورزی/گروه علوم و مهندسی آب/ دانشکده کشاورزی/ دانشگاه فردوسی مشهد | ||
| 2استاد گروه مهندسی آب، دانشکده کشاورزی، دانشگاه فردوسی مشهد، مشهد، ایران. | ||
| چکیده | ||
| دستیابی به تصاویر ماهواره‌ای با قدرت تفکیک مکانی و زمانی بالا به‌صورت هم‌زمان یکی از چالشهای جدی محققان در حوزه سنجش از دور و کاربردهای آن بوده است. در سالهای اخیر، محققان تلاش جدی برای حل این مسئله انجام دادهاند. استفاده از تکنیک تلفیق مکانی و زمانی تصاویر، ایده‌ای بوده که در چند سال اخیر مورد توجه بسیاری قرار گرفته است. در این مطالعه با استفاده از الگوریتم تلفیق مکانی-زمانی تصویر (STI-FM) و تصاویر دمای سطح زمین سنجنده مودیس، تولید تصاویر شبهلندست دمای سطح زمین در بازههای کمتر از قدرت تفکیک زمانی لندست (16 روزه) و بر روی منطقه‌ای از اراضی زمینی مختلف، مورد بررسی قرار گرفت. الگوریتم STI-FM شامل دو گام اصلی می‌باشد. ابتدا ضرایب رابطه خطی بین دو تصویر دمای سطح زمین مودیس در زمان‌های 1 و 2 تعیین می‌شود و در گام دوم این ضرایب به تصویر دمای سطح زمین لندست در زمان 1 اعمال می‌شود تا تصویر شبهلندست در زمان 2، پیش‌بینی شود. نتایج نشان داد که رابطه خطی قوی بین دو تصویر مودیس در زمان‌های 1 و 2 وجود دارد (ضرایب تعیین 85/0 و 95/0). ارزیابی کیفی و کمی تصاویر مصنوعی دمای سطح زمین انجام شد؛ و مشخص شد که توافق بصری بالا و رابطه قوی بین تصاویر دمای سطح زمین واقعی و مصنوعی بر روی پوششهای مختلف زمینی وجود دارد؛ ضرایب R2 و RMSE بهترتیب در محدوده 74/0-94/0 و 44/1-52/2 قرار گرفتند. | ||
| کلیدواژه‌ها | ||
| تلفیق مکانی-زمانی؛ مودیس؛ لندست؛ دمای سطح زمین؛ سنجش از دور | ||
| عنوان مقاله [English] | ||
| Fusion of MODIS and Landsat-8 Land Surface Temperature Images Using Spatio-Temporal Image Fusion Model | ||
| نویسندگان [English] | ||
| Morteza Kaffash1؛ Seyed Hossein Sanaei-Nejad2 | ||
| 1PhD Student of Agricultural Meteorology, Water Engineering Department/Agriculture Faculty/Ferdowsi University of Mashhad | ||
| 2Professor, Department of Water Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran. | ||
| چکیده [English] | ||
| Achieving satellite images with high simultaneously spatial-temporal resolution has been one of the serious challenges faced by researchers in the field of remote sensing and its applications. In recent years, researchers have made serious efforts to solve the problem. In this study, producing Landsat like land surface temperature images with less than 16 day temporal resolution and over different land covers, using spatio-temporal image fusion algorithm (STI-FM) and MODIS Land surface temperature images, was investigated. The STI-FM technique consist of two main steps. First establishing a linear relationship between two consecutive MODIS LST images acquired at time 1 and time 2; then utilizing the above mentioned relationship as a function of a Landsat-8 LST image acquired at time 1 in order to predict a synthetic Landsat -8 LST image at time 2. The results showed strong linear relationship between the two consecutive MODIS images at times 1 and 2 (R2 in the range 0.85-0.95). The synthetic LST images were evaluated qualitatively and quantitatively and it was found that there is a high visual and strong agreements with the actual Landsat-8 LST images over different land covers. For example R2 and RMSE values were ranged 0.74-0.94 and 1.44-2.52, respectively. | ||
| کلیدواژه‌ها [English] | ||
| spatio-temporal fusion, MODIS, Landsat, Land surface temperature, remote sensing | ||
| مراجع | ||
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