How to process remote sensing data in matlab
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I have downloaded remote sensing data and want to process the data. This is what i have done.'
filename='windsat_remss_ovw_l3_20050126_v7.0.1.nc'
filename =
windsat_remss_ovw_l3_20050126_v7.0.1.nc
>> ncdisp(filename)
Source:
C:\Program Files\MATLAB\MATLAB Production Server\R2015a\bin\windsat_remss_ovw_l3_20050126_v7.0.1.nc
Format:
classic
Global Attributes:
Conventions = 'CF-1.6'
title = 'Coriolis_WindSat_L3_OW_SST_ATM_REMSS'
longname = 'WindSat on Coriolis Level 3 Daily Gridded Ocean Surface Wind Vectors and Ancillary Fields from REMSS'
references = 'More information is available at www.remss.com/windsat'
institution = 'Remote Sensing Systems'
contact = 'support@remss.com'
netcdf_version_id = '3.5.0'
creation_date = '2013-09-03'
product_version = 'v7.0.1'
processing_level = 'L3'
creator_name = 'Frank J. Wentz, PI DISCOVER Project, Remote Sensing Systems'
history = '9/03/2013: NetCDF files created from Remote Sensing Systems WindSat V7.0.1 data by Chelle Gentemann'
platform = 'Coriolis'
sensor = 'WindSat'
source = 'satellite'
acknowledgement = 'WindSat microwave radiometer data are processed by Remote Sensing Systems with funding from the NASA and Earth Science MEaSUREs Program and the NASA Earth Science Physical Oceanography Program.'
start_date = '2005-01-26'
start_time = '00:00:00 UTC'
stop_date = '2005-01-26'
stop_time = '09:42:00 UTC'
latitude_resolution = 0.25
longitude_resolution = 0.25
southernmost_latitude = -89.875
northernmost_latitude = 89.875
westernmost_longitude = -179.875
easternmost_longitude = 179.875
file_quality_index = 1
comment = 'Please see www.remss.com for more information. Orbits separated into ascending and descending arrays. The original numerical resolution of the data used to create this product was time: 0.1 hrs, sst: 0.15 deg Celcius, wind: 0.2 m/s, vapor: 0.3 kg/m2 (1 kg m-2 = 1 mm), cloud: 0.01 kg/m2, rain: 0.1 m'
Dimensions:
time = 2
lat = 720
lon = 1440
Variables:
lat
Size: 720x1
Dimensions: lat
Datatype: single
Attributes:
long_name = 'latitude'
standard_name = 'latitude'
units = 'degrees_north'
valid_min = -89.875
valid_max = 89.875
lon
Size: 1440x1
Dimensions: lon
Datatype: single
Attributes:
long_name = 'longitude'
standard_name = 'longitude'
units = 'degrees_east'
valid_min = -179.875
valid_max = 179.875
time
Size: 2x1
Dimensions: time
Datatype: int32
Attributes:
long_name = 'reference time of file'
standard_name = 'time'
units = 'seconds since 1981-01-01 00:00:00'
sea_surface_temperature
Size: 1440x720x2
Dimensions: lon,lat,time
Datatype: int8
Attributes:
long_name = 'sea surface temperature'
standard_name = 'sea_surface_temperature'
units = 'Celsius'
_FillValue = -128
add_offset = 16.05
scale_factor = 0.15
valid_min = -127
valid_max = 127
dtime
Size: 1440x720x2
Dimensions: lon,lat,time
Datatype: int16
Attributes:
long_name = 'time difference from reference time'
units = 'seconds'
_FillValue = -32768
add_offset = 0
scale_factor = 10
wind_speed_lf
Size: 1440x720x2
Dimensions: lon,lat,time
Datatype: int8
Attributes:
long_name = 'wind speed low frequency'
standard_name = 'wind_speed'
units = 'm s-1'
_FillValue = -128
add_offset = 25.4
scale_factor = 0.2
valid_min = -127
valid_max = 127
wind_speed_mf
Size: 1440x720x2
Dimensions: lon,lat,time
Datatype: int8
Attributes:
long_name = 'wind speed medium frequency'
standard_name = 'wind_speed'
units = 'm s-1'
_FillValue = -128
add_offset = 25.4
scale_factor = 0.2
valid_min = -127
valid_max = 127
water_vapor
Size: 1440x720x2
Dimensions: lon,lat,time
Datatype: int8
Attributes:
long_name = 'total columnar water vapor'
standard_name = 'atmosphere_mass_content_of_water_vapor'
units = 'kg m-2'
_FillValue = -128
add_offset = 38.1
scale_factor = 0.3
valid_min = -127
valid_max = 127
cloud_liquid_water
Size: 1440x720x2
Dimensions: lon,lat,time
Datatype: int8
Attributes:
long_name = 'cloud liquid water'
standard_name = 'atmosphere_mass_content_of_cloud_liquid_water'
units = 'kg m-2'
_FillValue = -128
add_offset = 1.22
scale_factor = 0.01
valid_min = -127
valid_max = 127
rain_rate
Size: 1440x720x2
Dimensions: lon,lat,time
Datatype: int8
Attributes:
long_name = 'rain rate'
standard_name = 'rainfall_rate'
units = 'mm hr-1'
_FillValue = -128
add_offset = 12.7
scale_factor = 0.1
valid_min = -127
valid_max = 127
wind_speed_aw
Size: 1440x720x2
Dimensions: lon,lat,time
Datatype: int8
Attributes:
long_name = 'wind speed all weather'
standard_name = 'wind_speed'
units = 'm s-1'
_FillValue = -128
add_offset = 25.4
scale_factor = 0.2
valid_min = -127
valid_max = 127
wind_direction
Size: 1440x720x2
Dimensions: lon,lat,time
Datatype: int8
Attributes:
long_name = 'wind direction'
standard_name = 'wind_to_direction'
units = 'degrees'
_FillValue = -128
add_offset = 190.5
scale_factor = 1.5
valid_min = -127
valid_max = 127
I want to know how to retrieve data from the variables such as " wind_speed_aw". What are the commands that i can use to get the data.
Thank You.
>>
2 件のコメント
採用された回答
KSSV
2017 年 3 月 21 日
編集済み: KSSV
2017 年 3 月 21 日
clc; clear all ;
filename = 'windsat_remss_ovw_l3_20050126_v7.0.1.nc' ;
% read the variables
lon = ncread(filename,'lon') ;
lat = ncread(filename,'lat') ;
wind_speed_aw = ncread(filename,' wind_speed_aw ') ;
surf(lon,lat,wins_speed_aw(:,:,1))
shading interp
Read about ncread. ncread is used to load/ read the data.
5 件のコメント
KSSV
2017 年 3 月 22 日
clc; clear all ;
filename = 'windsat_remss_ovw_l3_20050126_v7.0.1.nc' ;
% read the variables
lon = ncread(filename,'lon') ;
lat = ncread(filename,'lat') ;
wind_speed_aw = ncread(filename,' wind_speed_aw ') ;
surf(lon,lat,wins_speed_aw(:,:,1)) ; % if shows error transpose the matrix
shading interp
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