Use of AMSR-E microwave satellite data for land surface characteristics and snow cover variation

نویسندگان

  • Mukesh Singh Boori
  • Ralph R. Ferraro
  • Komal Choudhary
  • Alexander Kupriyanov
چکیده

This data article contains data related to the research article entitled "Global land cover classification based on microwave polarization and gradient ratio (MPGR)" [1] and "Microwave polarization and gradient ratio (MPGR) for global land surface phenology" [2]. This data article presents land surface characteristics and snow cover variation information from sensors like EOS Advanced Microwave Scanning Radiometer (AMSR-E). This data article use the HDF Explorer, Matlab, and ArcGIS software to process the pixel latitude, longitude, snow water equivalent (SWE), digital elevation model (DEM) and Brightness Temperature (BT) information from AMSR-E satellite data to provide land surface characteristics and snow cover variation data in all-weather condition at any time. This data information is useful to discriminate different land surface cover types and snow cover variation, which is turn, will help to improve monitoring of weather, climate and natural disasters.

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

An investigation on the feasibility of applying MODIS snow cover products in cloudy weather by the employment of its integration with microwave images

Variation of snow cover area (SCA) in small to large scale catchment can be studied using MODIS snow products on daily to montly time step since the year 2000. However, one of the major problems in applying the MODIS snow products is cloud obscuration which limits the utilization of these products. In the current study, variation of SCA was investigated in Karoun basin, western part of Iran, us...

متن کامل

A Comparison of AMSR-E/Aqua Snow Products with in situ Observations and MODIS Snow Cover Products in the Mackenzie River Basin, Canada

Since 2002, global snow water equivalent (SWE) estimates have been generated using Advanced Microwave Scanning Radiometer (AMSR-E)/Aqua data. Accurate estimates of SWE are important to improve monitoring and managing of water resources in specific regions. SWE and snow map product accuracy are functions of topography and of land cover type because landscape characteristics have a strong influen...

متن کامل

A simple retrieval method of land surface temperature from AMSR-E passive microwave data - A case study over Southern China during the strong snow disaster of 2008

The analysis of the passive microwave radiance transfer equation certifies that there is a linear relationship between satellite-generated brightness temperatures (BT) and in situ observation temperature and that land surface temperature (LST) is largely influenced by vegetation cover conditions. Microwave polarization difference index (MPDI) is an effective indicator for characterizing the lan...

متن کامل

AMSR-E Algorithm for Snowmelt Onset Detection in Subarctic Heterogeneous Terrain

Snowmelt onset in the upper Yukon River basin, Canada, can be derived from brightness temperatures (Tb) obtained by the Advanced Microwave Scanning Radiometer for EOS (AMSRE) on NASA’s Aqua satellite. This sensor, with a resolution of 14 x 8 km for the 36.5 GHz frequency and two to four observations per day, improves upon the twice-daily coverage and 37 x 28 km spatial resolution of the Special...

متن کامل

A Pre-operational Algorithm for the Retrieval of Snow Water Equivalent and Soil Moisture from Amsr-e Data

During the past decades, natural hazards such as floods, landslides and forest fires have caused major loss of human lives and the destruction of economic land social infrastructure, as well as environmental damages. The Italian National Project: PROSA (PRodotti di Osservazione Satellitari per l'Allerta Meteorologica) is a pilot project funded by the Italian Space Agency, which aims at contribu...

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 9  شماره 

صفحات  -

تاریخ انتشار 2016