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Mapping seasonal snow cover dynamics provides essential information to predict snowmelt during spring and early summer. Such is vital for water supply management regulation by national stakeholders. Recent advances in remote sensing have made it possible reliably estimate quantify the spatial temporal variability of at different scales. However, because technological constraints, there a compro...

We developed an automated approach for mapping persistent ice and snow cover (glaciers and perennial snowfields) from Landsat TM and ETM+ data across a variety of topography, glacier types, and climatic conditions at high latitudes (above ~65 ̋N). Our approach exploits all available Landsat scenes acquired during the late summer (1 August–15 September) over a multi-year period and employs an aut...

شاخص سطح برگ استخراج‌شده (LAI) از تصاویر سنجش دور پارامتر مهمی، به‌منظور مدل‌سازی مکانی تولید پوشش گیاهی، محسوب می‌شود. معمولاً شاخص‌های گیاهی که با بازتاب طول موج‌های قرمز و مادون نزدیک محاسبه می‌شوند، در برآورد LAI استفاده روش‌های آماری، به‌کار می‌روند اما بسیاری این شاخص‌ها مقادیر متفاوت به اشباع می‌رسند. برای رفع محدودیت، محدودة لبة شده است؛ بنابراین، باید قابلیت داده‌های دور، ذرت علوفه‌ای، ...

Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...

Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...

Sembilang National Park, one of the best and largest mangrove areas in Indonesia, is very vulnerable to disturbance by community activities. Changes dynamic condition forests Park must be quickly easily accompanied monitoring efforts. One way monitor use remote sensing technology. Recently, machine-learning classification techniques have been widely used classify forests. This study aims invest...

Abstract The health of Corymbia calophylla (marri), a keystone tree species in the native forests southwest Western Australia, has been decline for past few decades. Phytophthora root disease and waterlogging have often cited as contributing to this decline. Traditional methods (i.e., field surveys sampling) mapping infection are time-consuming expensive; thus, potential reflectance spectroscop...