نتایج جستجو برای: modis algorithms such as deep blue
تعداد نتایج: 6244534 فیلتر نتایج به سال:
We present an evaluation of Aerosol Optical Depth (AOD) retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) over Australia covering period 2001–2020. focus on Deep Blue (DB) and Multi-Angle Implementation Atmospheric Correction (MAIAC) algorithms, showing how these compare to one another in time space. further employ speciated AOD estimates Copernicus Monitoring Service (C...
در سالهای اخیر وقوع مکرر طوفان های گرد و غبار در مناطق غرب و جنوب غرب ایران، باعث بروز حوادث و مشکلات فراوان در این مناطق و بخش های همجوار آن ها شده و حتی در بعضی از مواقع دامنه این حوادث به بخش های مرکزی کشور هم رسیده است. برای شناسایی و پایش گرد و غبار استفاده از اطلاعات میدان دید و پدیده گرد و غبار در ایستگاه های سینوپتیک رایج می باشد. با توجه به پیشرفت علم سنجش از دور و ایجاد تصاویر ماهواره...
Vegetation indices (VIs) are widely used in long-term measurement studies of vegetation changes, including seasonal vegetation activity and interannual vegetation-climate interactions. There is much interest in developing cross-sensor/multi-mission vegetation products that can be extended to future sensors while maintaining continuity with present and past sensors. In this study we investigated...
[1] Although the current Multiangle Imaging Spectroradiometer (MISR) and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite passive remote sensing midvisible aerosol optical thickness (AOT) products are accurate overall to about 0.05 or 20%, they differ systematically on a global, monthly average basis, by about 0.03 to 0.05. Some key climate change and other applications require a...
The shortwave broadband MODIS albedo has higher uncertainties over snow-covered land and at large Solar Zenith Angle (SZA). We have documented a systematic negative bias for SZA>55-60° in Greenland. This study uses in situ data from the Greenland Climate Network (GC-Net) to characterize and empirically correct the MODIS snow albedo (MCD43C) bias at large SZA and thereby remediate the implied bi...
AI textbooks and papers often discuss the big ques tions such as how to reason with uncertainty how to reason e ciently or how to improve performance through learning It is more di cult however to nd descriptions of concrete problems or challenges that are still ambitious and interesting yet not so open ended The goal of this panel is to formulate a set of such challenge problems for the eld Ea...
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