Cloud Cover Determination in Polar Regions from Satellite Imagery

نویسنده

  • R. G. Barry
چکیده

1.0 Introduction Difficulties with Satellite Cloud Analysis in Polar Regions Objectives of this Project 1.1 1.2 Data Cloud Detection Algorithms 3.1 Classification of Clouds and Surfaces with Fuzzy Sets 3.2 Classification of Clouds and Surfaces with Neural Networks 3.3 Cloud Detection with Spatial and Temporal Coherence 3.4 Cloud Detection Following an ISCCP Methodology 4.0 Analysis of Cloud Patterns with Spectral and Textural Measures 5.0 Empirical Studies of Arctic Cloud Cover 6.0 Comparison of Modeled and Observed Cloud Cover in the Arctic 7.0 Concluding Remarks 8.0 Future Research 9.0 References 10.0 Publications Supported by this Project Attachments 1: Merging AVI-IRR and SMMR Data 2: Cloud Classification with Fuzzy Sets 3: Classification with Neural Networks 4: Cloud Cover Analysis: Detection 5: Adaption of the ISCCP Cloud Detection Algorithm iv 1 1 4 5 6 8 9 11 15 18 21 22 23 23 25 28 29 30 36 76 108 158 ii

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Automated Production of Cloud-free and Cloud Shadow-free Image Mosaics from Cloudy Satellite Imagery

The humid tropical region is always under partial or complete cloud covers. As a result, optical remote sensing images of this region always encounter the problem of cloud covers and associated shadows. In this paper, an operational system for producing cloud-free and cloud shadow-free image mosaics from cloudy optical satellite imagery is presented. The inputs are several cloudy images of the ...

متن کامل

محاسبه تغییرات نقشه‌های پوشش برفی تهیه شده از تصاویر ماهواره‌ای MODIS در دوره‌های فاقد تصویر

‏Snow is a huge water resource in most parts of the world. Snow water equivalent supplies 1/3 of the water requirement for farming and irrigation throughout the world. Water content estimation of a snow-cover or estimation of snowmelt runoff is necessary for Hydrologists. Several snowmelt-forecasting models have been suggested, most of which require continuous monitoring of snow-cover. Today mo...

متن کامل

محاسبه تغییرات نقشه‌های پوشش برفی تهیه شده از تصاویر ماهواره‌ای MODIS در دوره‌های فاقد تصویر

‏Snow is a huge water resource in most parts of the world. Snow water equivalent supplies 1/3 of the water requirement for farming and irrigation throughout the world. Water content estimation of a snow-cover or estimation of snowmelt runoff is necessary for Hydrologists. Several snowmelt-forecasting models have been suggested, most of which require continuous monitoring of snow-cover. Today mo...

متن کامل

Comparing the Capability of Sentinel 2 and Landsat 8 Satellite Imagery in Land Use and Land Cover Mapping Using Pixel-based and Object-based Classification Methods

Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...

متن کامل

Advancing reference emission levels in subnational and national REDD+ initiatives: a CLASlite approach

Conservation and monitoring of tropical forests requires accurate information on their extent and change dynamics. Cloud cover, sensor errors and technical barriers associated with satellite remote sensing data continue to prevent many national and sub-national REDD+ initiatives from developing their reference deforestation and forest degradation emission levels. Here we present a framework for...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1989