遥感与土地信息系统应用实习报告(4)

2021-02-21 14:39

土地利用信息的简单分析利用,生成土地利用现状图。具体步骤如下:

3.1遥感影像解译

3.1.1影像获取

本次实习所获取的遥感影像为ENVI4.7安装文件自带Landsat 7 TM影像影像。该影像为美国怀俄明州大角羊盆地(Bighorn Basin)的TM影像,经过了辐射校正和几何校正附带了基本的地理坐标信息。具体描述如下:

ENVI

description = {Bighorn Basin, Landsat TM, Calibrated to Reflectance}

samples = 512

lines = 512

bands = 6

header offset = 0

file type = ENVI Standard

data type = 1

interleave = bsq

sensor type = Landsat TM

byte order = 0

map info = {UTM, 1.000, 1.000, 277904.645, 4906894.331, 2.8500000000e+001,

2.8500000000e+001, 13, North, units=Meters}

coordinate system string =

{PROJCS["UTM_Zone_13N",GEOGCS["GCS_North_American_1927",DATUM["D_North_American_1927",SPHEROID["Clarke_1866",6378206.4,294.9786982]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-105.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]} wavelength units = Micrometers

z plot range = {0.00, 100.00}

z plot titles = {Wavelength, Reflectance}

band names = {TM Band 1, TM Band 2, TM Band 3, TM Band 4, TM Band 5, TM Band 7}

wavelength = {0.485000, 0.560000, 0.660000, 0.830000, 1.650000, 2.215000}


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