Use of Environmental Satellite Imagery for Smoke Depiction and Transport Model Initialization

نویسندگان

  • Mark Ruminski
  • Shobha Kondragunta
چکیده

The National Oceanic and Atmospheric Administration (NOAA) produces a daily satellite based smoke and fire analysis for the US. The capability to specify smoke concentration levels and to identify the start time, duration and areal extent of a particular fire which is producing smoke emissions has recently been added. Smoke concentration values are obtained from visual inspection of animated Geostationary Operational Environmental Satellite (GOES) visible band imagery in conjunction with output from the automated GOES Aerosol and Smoke Product (GASP). There are three categories of smoke concentration utilized: 5, 16 and 27 μg/m3, which correspond to light, medium, and dense smoke respectively. The smoke concentration values are available for air quality managers and other users to download and/or view as GIS shapefiles. The initial time and duration of smoke emissions are also obtained through inspection of animated GOES visible imagery by an analyst. This information is incorporated into the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model which produces a 48 hour forecast of smoke dispersion and transport. In addition to approximating smoke emissions and the diurnal variations observed in wildfires the specification of emission duration allows for the representation of short duration agricultural and prescribed burns as well. A number of examples depicting various smoke concentrations, including fires of different size and duration, will be shown. HYSPLIT performance in depicting the observed smoke will also be presented.

برای دانلود 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

Dust source mapping using satellite imagery and machine learning models

Predicting dust sources area and determining the affecting factors is necessary in order to prioritize management and practice deal with desertification due to wind erosion in arid areas. Therefore, this study aimed to evaluate the application of three machine learning models (including generalized linear model, artificial neural network, random forest) to predict the vulnerability of dust cent...

متن کامل

Validation of Volunteered Geographic Information Landuse Change Using Satellite Imagery

Land use change monitoring is one of the main concerns of managers and urban planners due to human activities and unbalanced physical development in urban areas. In this paper, a combination of remote sensing data and volunteered geographic information was used to assess the quality of volunteered geographic information on land use and land cover changes monitoring. For this purpose, the ORBVIE...

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

Evaluating machine learning methods and satellite images to estimate combined climatic indices

The reflections recorded on satellite images have been affected by various environmental factors. In these images, some of these factors are combined with other environmental factors that cannot be distinguished. Therefore, it seems wise to model these environmental phenomena in the form of hybrid indicators. In this regard, satellite imagery and machine learning methods can play a unique role ...

متن کامل

Analysis and adaptation of land use changes in arid regions based on satellite imagery (Study range: Fahroj to Bam's new citadel)

One of the most important problems facing desert areas today is the growing trend of desertification and land use change. Land use is a special use of man from the earth. These uses are changing over time and these changes lead to increased land degradation and ecosystem destruction, especially in arid and semi-arid regions. Accordingly, in this research, the trend of land use change in the eas...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007