GDAL——命令使用专题——gdalinfo命令
GDAL——命令使用专题——gdalinfo命令
前言
GDAL(Geospatial Data Abstraction Library)是一个在X/MIT许可协议下的开源栅格空间数据转换库。它利用抽象数据模型来表达所支持的各种文件格式。它还有一系列命令行工具来进行数据转换和处理。
主要针对:ogrinfo命令、gdalinfo命令、gdalsrsinfo命令、gdallocationinfo命令、gdal_translate命令、gdaltransform命令 等。这一节讨论gdalinfo命令。
gdalinfo命令主要是查询、操作栅格数据信息。
上一篇针对ogrinfo命令做了针对性讲解,见《GDAL——命令使用专题——ogrinfo命令》。
软件环境:在安装Mapserver时集成安装。详见《MapServer Configuring with IIS》。
gdalinfo --formats
数据格式支持
应用数据类型 | 数据类型 | 操作权限 | 说明 |
BAG | -raster- | (ro) | Bathymetry Attributed Grid |
FITS | -raster- | (rw+) | Flexible Image Transport System |
GeoRaster | -raster- | (rw+s) | Oracle Spatial GeoRaster |
GMT | -raster- | (rw) | GMT NetCDF Grid Format |
HDF4 | -raster- | (ros) | Hierarchical Data Format Release 4 |
HDF4Image | -raster- | (rw+) | HDF4 Dataset |
HDF5 | -raster- | (ros) | Hierarchical Data Format Release 5 |
HDF5Image | -raster- | (ro) | HDF5 Dataset |
KEA | -raster- | (rw+) | KEA Image Format (.kea) |
MG4Lidar | -raster- | (ro) | MrSID Generation 4 / Lidar (.sid) |
MrSID | -raster- | (rov) | Multi-resolution Seamless Image Database (MrSID) |
netCDF | -raster,vector- | (rw+s) | Network Common Data Format |
VRT | -raster- | (rw+v) | Virtual Raster |
DERIVED | -raster- | (ro) | Derived datasets using VRT pixel functions |
GTiff | -raster- | (rw+vs) | GeoTIFF |
NITF | -raster- | (rw+vs) | National Imagery Transmission Format |
RPFTOC | -raster- | (rovs) | Raster Product Format TOC format |
ECRGTOC | -raster- | (rovs) | ECRG TOC format |
HFA | -raster- | (rw+v) | Erdas Imagine Images (.img) |
SAR_CEOS | -raster- | (rov) | CEOS SAR Image |
CEOS | -raster- | (rov) | CEOS Image |
JAXAPALSAR | -raster- | (rov) | JAXA PALSAR Product Reader (Level 1.1/1.5) |
GFF | -raster- | (rov) | Ground-based SAR Applications Testbed File Format (.gff) |
ELAS | -raster- | (rw+v) | ELAS |
AIG | -raster- | (rov) | Arc/Info Binary Grid |
AAIGrid | -raster- | (rwv) | Arc/Info ASCII Grid |
GRASSASCIIGrid | -raster- | (rov) | GRASS ASCII Grid |
SDTS | -raster- | (rov) | SDTS Raster |
DTED | -raster- | (rwv) | DTED Elevation Raster |
PNG | -raster- | (rwv) | Portable Network Graphics |
JPEG | -raster- | (rwv) | JPEG JFIF |
MEM | -raster- | (rw+) | In Memory Raster |
JDEM | -raster- | (rov) | Japanese DEM (.mem) |
GIF | -raster- | (rwv) | Graphics Interchange Format (.gif) |
BIGGIF | -raster- | (rov) | Graphics Interchange Format (.gif) |
ESAT | -raster- | (rov) | Envisat Image Format |
BSB | -raster- | (rov) | Maptech BSB Nautical Charts |
XPM | -raster- | (rwv) | X11 PixMap Format |
BMP | -raster- | (rw+v) | MS Windows Device Independent Bitmap |
DIMAP | -raster- | (rov) | SPOT DIMAP |
AirSAR | -raster- | (rov) | AirSAR Polarimetric Image |
RS2 | -raster- | (rovs) | RadarSat 2 XML Product |
SAFE | -raster- | (rov) | Sentinel-1 SAR SAFE Product |
PCIDSK | -raster,vector- | (rw+v) | PCIDSK Database File |
PCRaster | -raster- | (rw+) | PCRaster Raster File |
ILWIS | -raster- | (rw+v) | ILWIS Raster Map |
SGI | -raster- | (rw+v) | SGI Image File Format 1.0 |
SRTMHGT | -raster- | (rwv) | SRTMHGT File Format |
Leveller | -raster- | (rw+v) | Leveller heightfield |
Terragen | -raster- | (rw+v) | Terragen heightfield |
ISIS3 | -raster- | (rw+v) | USGS Astrogeology ISIS cube (Version 3) |
ISIS2 | -raster- | (rw+v) | USGS Astrogeology ISIS cube (Version 2) |
PDS | -raster- | (rov) | NASA Planetary Data System |
PDS4 | -raster- | (rw+vs) | NASA Planetary Data System 4 |
VICAR | -raster- | (rov) | MIPL VICAR file |
TIL | -raster- | (rov) | EarthWatch .TIL |
ERS | -raster- | (rw+v) | ERMapper .ers Labelled |
JP2OpenJPEG | -raster,vector- | (rwv) | JPEG-2000 driver based on OpenJPEG library |
L1B | -raster- | (rovs) | NOAA Polar Orbiter Level 1b Data Set |
FIT | -raster- | (rwv) | FIT Image |
GRIB | -raster- | (rwv) | GRIdded Binary (.grb, .grb2) |
RMF | -raster- | (rw+v) | Raster Matrix Format |
WCS | -raster- | (rovs) | OGC Web Coverage Service |
WMS | -raster- | (rwvs) | OGC Web Map Service |
MSGN | -raster- | (rov) | EUMETSAT Archive native (.nat) |
RST | -raster- | (rw+v) | Idrisi Raster A.1 |
INGR | -raster- | (rw+v) | Intergraph Raster |
GSAG | -raster- | (rwv) | Golden Software ASCII Grid (.grd) |
GSBG | -raster- | (rw+v) | Golden Software Binary Grid (.grd) |
GS7BG | -raster- | (rw+v) | Golden Software 7 Binary Grid (.grd) |
COSAR | -raster- | (rov) | COSAR Annotated Binary Matrix (TerraSAR-X) |
TSX | -raster- | (rov) | TerraSAR-X Product |
COASP | -raster- | (ro) | DRDC COASP SAR Processor Raster |
R | -raster- | (rwv) | R Object Data Store |
MAP | -raster- | (rov) | OziExplorer .MAP |
KMLSUPEROVERLAY | -raster- | (rwv) | Kml Super Overlay |
-raster,vector- | (rw+vs) | Geospatial PDF | |
Rasterlite | -raster- | (rwvs) | Rasterlite |
MBTiles | -raster,vector- | (rw+v) | MBTiles |
PLMOSAIC | -raster- | (ro) | Planet Labs Mosaics API |
CALS | -raster- | (rwv) | CALS (Type 1) |
WMTS | -raster- | (rwv) | OGC Web Map Tile Service |
SENTINEL2 | -raster- | (rovs) | Sentinel 2 |
MRF | -raster- | (rw+v) | Meta Raster Format |
PNM | -raster- | (rw+v) | Portable Pixmap Format (netpbm) |
DOQ1 | -raster- | (rov) | USGS DOQ (Old Style) |
DOQ2 | -raster- | (rov) | USGS DOQ (New Style) |
PAux | -raster- | (rw+v) | PCI .aux Labelled |
MFF | -raster- | (rw+v) | Vexcel MFF Raster |
MFF2 | -raster- | (rw+) | Vexcel MFF2 (HKV) Raster |
FujiBAS | -raster- | (rov) | Fuji BAS Scanner Image |
GSC | -raster- | (rov) | GSC Geogrid |
FAST | -raster- | (rov) | EOSAT FAST Format |
BT | -raster- | (rw+v) | VTP .bt (Binary Terrain) 1.3 Format |
LAN | -raster- | (rw+v) | Erdas .LAN/.GIS |
CPG | -raster- | (rov) | Convair PolGASP |
IDA | -raster- | (rw+v) | Image Data and Analysis |
NDF | -raster- | (rov) | NLAPS Data Format |
EIR | -raster- | (rov) | Erdas Imagine Raw |
DIPEx | -raster- | (rov) | DIPEx |
LCP | -raster- | (rwv) | FARSITE v.4 Landscape File (.lcp) |
GTX | -raster- | (rw+v) | NOAA Vertical Datum .GTX |
LOSLAS | -raster- | (rov) | NADCON .los/.las Datum Grid Shift |
NTv2 | -raster- | (rw+vs) | NTv2 Datum Grid Shift |
CTable2 | -raster- | (rw+v) | CTable2 Datum Grid Shift |
ACE2 | -raster- | (rov) | ACE2 |
SNODAS | -raster- | (rov) | Snow Data Assimilation System |
KRO | -raster- | (rw+v) | KOLOR Raw |
ROI_PAC | -raster- | (rw+v) | ROI_PAC raster |
RRASTER | -raster- | (rw+v) | R Raster |
ARG | -raster- | (rwv) | Azavea Raster Grid format |
RIK | -raster- | (rov) | Swedish Grid RIK (.rik) |
USGSDEM | -raster- | (rwv) | USGS Optional ASCII DEM (and CDED) |
GXF | -raster- | (rov) | GeoSoft Grid Exchange Format |
NWT_GRD | -raster- | (rw+v) | Northwood Numeric Grid Format .grd/.tab |
NWT_GRC | -raster- | (rov) | Northwood Classified Grid Format .grc/.tab |
ADRG | -raster- | (rw+vs) | ARC Digitized Raster Graphics |
SRP | -raster- | (rovs) | Standard Raster Product (ASRP/USRP) |
BLX | -raster- | (rwv) | Magellan topo (.blx) |
PostGISRaster | -raster- | (rws) | PostGIS Raster driver |
SAGA | -raster- | (rw+v) | SAGA GIS Binary Grid (.sdat, .sg-grd-z) |
XYZ | -raster- | (rwv) | ASCII Gridded XYZ |
HF2 | -raster- | (rwv) | HF2/HFZ heightfield raster |
OZI | -raster- | (rov) | OziExplorer Image File |
CTG | -raster- | (rov) | USGS LULC Composite Theme Grid |
E00GRID | -raster- | (rov) | Arc/Info Export E00 GRID |
ZMap | -raster- | (rwv) | ZMap Plus Grid |
NGSGEOID | -raster- | (rov) | NOAA NGS Geoid Height Grids |
IRIS | -raster- | (rov) | IRIS data (.PPI, .CAPPi etc) |
PRF | -raster- | (rov) | Racurs PHOTOMOD PRF |
RDA | -raster- | (ro) | DigitalGlobe Raster Data Access driver |
DB2ODBC | -raster,vector- | (rw+) | IBM DB2 Spatial Database |
GPKG | -raster,vector- | (rw+vs) | GeoPackage |
CAD | -raster,vector- | (rovs) | AutoCAD Driver |
PLSCENES | -raster,vector- | (ro) | Planet Labs Scenes API |
GenBin | -raster- | (rov) | Generic Binary (.hdr Labelled) |
ENVI | -raster- | (rw+v) | ENVI .hdr Labelled |
EHdr | -raster- | (rw+v) | ESRI .hdr Labelled |
ISCE | -raster- | (rw+v) | ISCE raster |
HTTP | -raster,vector- | (ro) | HTTP Fetching Wrapper |
说明:
- raster:栅格数据
- vector:矢量数据
- ro:read only
- rw:read and write 、upports CreateCopy
- rw+:read, write and update (i.e. supports Create)read, write and update (i.e. supports Create)
- s:数据子集(appended for formats supporting subdatasets)
- v:虚拟读写(appended for formats supporting virtual IO (/vsimem, /vsigzip, /vsizip, etc))
- gdalinfo --format "BAG":查询BAG格式数据详情
--gdalinfo --help-general
通用命令
Generic GDAL utility command options:--version: report version of GDAL in use.--license: report GDAL license info.--formats: report all configured format drivers.--format [format]: details of one format.--optfile filename: expand an option file into the argument list.--config key value: set system configuration option.--debug [on/off/value]: set debug level.--pause: wait for user input, time to attach debugger--locale [locale]: install locale for debugging (i.e. en_US.UTF-8)--help-general: report detailed help on general options.
详细使用方法见:《GDAL——命令使用专题——ogrinfo命令》中相关命令。
用法语
gdalinfo [--help-general] [-json] [-mm] [-stats] [-hist] [-nogcp] [-nomd][-norat] [-noct] [-nofl] [-checksum] [-proj4][-listmdd] [-mdd domain|`all`]*[-sd subdataset] [-oo NAME=VALUE]* datasetname
关于使用的数据文件,请通过连接:http://download.osgeo.org/mapserver/docs/mapserver-tutorial.zip 下载。
命令详解
-json:将读取数据转json格式输出。
#在cmd中输入:gdalinfo -json mod09a12003161_ugl_ll_8bit.tif 转换为json格式输出{"description":"mod09a12003161_ugl_ll_8bit.tif","driverShortName":"GTiff","driverLongName":"GeoTIFF","files":["mod09a12003161_ugl_ll_8bit.tif"],"size":[3480,1740],"coordinateSystem":{"wkt":"GEOGCS["WGS 84", DATUM["WGS_1984", SPHEROID["WGS 84",6378137,298.257223563, AUTHORITY["EPSG","7030"]], AUTHORITY["EPSG","6326"]], PRIMEM["Greenwich",0], UNIT["degree",0.0174532925199433], AUTHORITY["EPSG","4326"]]"},"geoTransform":[ -97.3743368400096188, 0.0047330569605305,0.0,49.4159185957790754,0.0,-0.0047330569605305],"metadata":{"":{"AREA_OR_POINT":"Area","TIFFTAG_RESOLUTIONUNIT":"1 (unitless)","TIFFTAG_SOFTWARE":"ERDAS IMAGINE","TIFFTAG_XRESOLUTION":"1","TIFFTAG_YRESOLUTION":"1"},"IMAGE_STRUCTURE":{"INTERLEAVE":"PIXEL"}},"cornerCoordinates":{"upperLeft":[-97.3743368,49.4159186],"lowerLeft":[-97.3743368,41.1803995],"lowerRight":[-80.9032986,41.1803995],"upperRight":[-80.9032986,49.4159186],"center":[-89.1388177,45.298159]},"wgs84Extent":{"type":"Polygon","coordinates":[[[-97.3743368,49.4159186],[-97.3743368,41.1803995],[-80.9032986,41.1803995],[-80.9032986,49.4159186],[-97.3743368,49.4159186]]]},"bands":[{"band":1,"block":[3480,8],"type":"Byte","colorInterpretation":"Red","metadata":{}},{"band":2,"block":[3480,8],"type":"Byte","colorInterpretation":"Green","metadata":{}},{"band":3,"block":[3480,8],"type":"Byte","colorInterpretation":"Blue","metadata":{}}] }
-mm:计算数据集中每个波段的实际最小/最大值。
#在cmd中输入:gdalinfo -mm mod09a12003161_ugl_ll_8bit.tifDriver: GTiff/GeoTIFF Files: mod09a12003161_ugl_ll_8bit.tif Size is 3480, 1740 Coordinate System is: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] Origin = (-97.374336840009619,49.415918595779075) Pixel Size = (0.004733056960530,-0.004733056960530) Metadata:AREA_OR_POINT=AreaTIFFTAG_RESOLUTIONUNIT=1 (unitless)TIFFTAG_SOFTWARE=ERDAS IMAGINETIFFTAG_XRESOLUTION=1TIFFTAG_YRESOLUTION=1 Image Structure Metadata:INTERLEAVE=PIXEL Corner Coordinates: Upper Left ( -97.3743368, 49.4159186) ( 97d22'27.61"W, 49d24'57.31"N) Lower Left ( -97.3743368, 41.1803995) ( 97d22'27.61"W, 41d10'49.44"N) Upper Right ( -80.9032986, 49.4159186) ( 80d54'11.88"W, 49d24'57.31"N) Lower Right ( -80.9032986, 41.1803995) ( 80d54'11.88"W, 41d10'49.44"N) Center ( -89.1388177, 45.2981590) ( 89d 8'19.74"W, 45d17'53.37"N) Band 1 Block=3480x8 Type=Byte, ColorInterp=RedComputed Min/Max=71.000,255.000 Band 2 Block=3480x8 Type=Byte, ColorInterp=GreenComputed Min/Max=74.000,255.000 Band 3 Block=3480x8 Type=Byte, ColorInterp=BlueComputed Min/Max=65.000,255.000
-stats:读取和显示图像统计信息。如果图像中没有存储统计信息,则强制计算。
#在cmd中输入:gdalinfo -stats mod09a12003161_ugl_ll_8bit.tifDriver: GTiff/GeoTIFF Files: mod09a12003161_ugl_ll_8bit.tif Size is 3480, 1740 Coordinate System is: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] Origin = (-97.374336840009619,49.415918595779075) Pixel Size = (0.004733056960530,-0.004733056960530) Metadata:AREA_OR_POINT=AreaTIFFTAG_RESOLUTIONUNIT=1 (unitless)TIFFTAG_SOFTWARE=ERDAS IMAGINETIFFTAG_XRESOLUTION=1TIFFTAG_YRESOLUTION=1 Image Structure Metadata:INTERLEAVE=PIXEL Corner Coordinates: Upper Left ( -97.3743368, 49.4159186) ( 97d22'27.61"W, 49d24'57.31"N) Lower Left ( -97.3743368, 41.1803995) ( 97d22'27.61"W, 41d10'49.44"N) Upper Right ( -80.9032986, 49.4159186) ( 80d54'11.88"W, 49d24'57.31"N) Lower Right ( -80.9032986, 41.1803995) ( 80d54'11.88"W, 41d10'49.44"N) Center ( -89.1388177, 45.2981590) ( 89d 8'19.74"W, 45d17'53.37"N) Band 1 Block=3480x8 Type=Byte, ColorInterp=RedMinimum=71.000, Maximum=255.000, Mean=127.351, StdDev=63.617Metadata:STATISTICS_MAXIMUM=255STATISTICS_MEAN=127.35112762584STATISTICS_MINIMUM=71STATISTICS_STDDEV=63.617218753897 Band 2 Block=3480x8 Type=Byte, ColorInterp=GreenMinimum=74.000, Maximum=255.000, Mean=125.841, StdDev=58.532Metadata:STATISTICS_MAXIMUM=255STATISTICS_MEAN=125.84129227771STATISTICS_MINIMUM=74STATISTICS_STDDEV=58.531957864514 Band 3 Block=3480x8 Type=Byte, ColorInterp=BlueMinimum=65.000, Maximum=255.000, Mean=126.632, StdDev=62.041Metadata:STATISTICS_MAXIMUM=255STATISTICS_MEAN=126.63214262122STATISTICS_MINIMUM=65STATISTICS_STDDEV=62.041498751993
-approx_stats:读取和显示图像统计信息。如果图像中没有存储统计信息,则强制计算。如果不需要精确数据,可以基于概览或所有tile的子集来计算。
#在cmd中输入:gdalinfo -approx_stats mod09a12003161_ugl_ll_8bit.tifDriver: GTiff/GeoTIFF Files: mod09a12003161_ugl_ll_8bit.tifmod09a12003161_ugl_ll_8bit.tif.aux.xml #生成了一个概要信息xml文件 Size is 3480, 1740 Coordinate System is: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] Origin = (-97.374336840009619,49.415918595779075) Pixel Size = (0.004733056960530,-0.004733056960530) Metadata:AREA_OR_POINT=AreaTIFFTAG_RESOLUTIONUNIT=1 (unitless)TIFFTAG_SOFTWARE=ERDAS IMAGINETIFFTAG_XRESOLUTION=1TIFFTAG_YRESOLUTION=1 Image Structure Metadata:INTERLEAVE=PIXEL Corner Coordinates: Upper Left ( -97.3743368, 49.4159186) ( 97d22'27.61"W, 49d24'57.31"N) Lower Left ( -97.3743368, 41.1803995) ( 97d22'27.61"W, 41d10'49.44"N) Upper Right ( -80.9032986, 49.4159186) ( 80d54'11.88"W, 49d24'57.31"N) Lower Right ( -80.9032986, 41.1803995) ( 80d54'11.88"W, 41d10'49.44"N) Center ( -89.1388177, 45.2981590) ( 89d 8'19.74"W, 45d17'53.37"N) Band 1 Block=3480x8 Type=Byte, ColorInterp=RedMin=71.000 Max=255.000Minimum=71.000, Maximum=255.000, Mean=127.351, StdDev=63.617Metadata:STATISTICS_MAXIMUM=255STATISTICS_MEAN=127.35112762584STATISTICS_MINIMUM=71STATISTICS_STDDEV=63.617218753897 Band 2 Block=3480x8 Type=Byte, ColorInterp=GreenMin=74.000 Max=255.000Minimum=74.000, Maximum=255.000, Mean=125.841, StdDev=58.532Metadata:STATISTICS_MAXIMUM=255STATISTICS_MEAN=125.84129227771STATISTICS_MINIMUM=74STATISTICS_STDDEV=58.531957864514 Band 3 Block=3480x8 Type=Byte, ColorInterp=BlueMin=65.000 Max=255.000Minimum=65.000, Maximum=255.000, Mean=126.632, StdDev=62.041Metadata:STATISTICS_MAXIMUM=255STATISTICS_MEAN=126.63214262122STATISTICS_MINIMUM=65STATISTICS_STDDEV=62.041498751993
<!--创建出来的xml文件--><PAMDataset><PAMRasterBand band="1"><Metadata><MDI key="STATISTICS_MAXIMUM">255</MDI><MDI key="STATISTICS_MEAN">127.35112762584</MDI><MDI key="STATISTICS_MINIMUM">71</MDI><MDI key="STATISTICS_STDDEV">63.617218753897</MDI></Metadata></PAMRasterBand><PAMRasterBand band="2"><Metadata><MDI key="STATISTICS_MAXIMUM">255</MDI><MDI key="STATISTICS_MEAN">125.84129227771</MDI><MDI key="STATISTICS_MINIMUM">74</MDI><MDI key="STATISTICS_STDDEV">58.531957864514</MDI></Metadata></PAMRasterBand><PAMRasterBand band="3"><Metadata><MDI key="STATISTICS_MAXIMUM">255</MDI><MDI key="STATISTICS_MEAN">126.63214262122</MDI><MDI key="STATISTICS_MINIMUM">65</MDI><MDI key="STATISTICS_STDDEV">62.041498751993</MDI></Metadata></PAMRasterBand> </PAMDataset>
-hist:生成所有波段的直方图报告信息。
#在cmd中输入:gdalinfo -hist mod09a12003161_ugl_ll_8bit.tifDriver: GTiff/GeoTIFF Files: mod09a12003161_ugl_ll_8bit.tifmod09a12003161_ugl_ll_8bit.tif.aux.xml #生成的xml文件 Size is 3480, 1740 Coordinate System is: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] Origin = (-97.374336840009619,49.415918595779075) Pixel Size = (0.004733056960530,-0.004733056960530) Metadata:AREA_OR_POINT=AreaTIFFTAG_RESOLUTIONUNIT=1 (unitless)TIFFTAG_SOFTWARE=ERDAS IMAGINETIFFTAG_XRESOLUTION=1TIFFTAG_YRESOLUTION=1 Image Structure Metadata:INTERLEAVE=PIXEL Corner Coordinates: Upper Left ( -97.3743368, 49.4159186) ( 97d22'27.61"W, 49d24'57.31"N) Lower Left ( -97.3743368, 41.1803995) ( 97d22'27.61"W, 41d10'49.44"N) Upper Right ( -80.9032986, 49.4159186) ( 80d54'11.88"W, 49d24'57.31"N) Lower Right ( -80.9032986, 41.1803995) ( 80d54'11.88"W, 41d10'49.44"N) Center ( -89.1388177, 45.2981590) ( 89d 8'19.74"W, 45d17'53.37"N) Band 1 Block=3480x8 Type=Byte, ColorInterp=RedMin=71.000 Max=255.000Minimum=71.000, Maximum=255.000, Mean=127.351, StdDev=63.617 0...10...20...30...40...50...60...70...80...90...100 - done.256 buckets from -0.5 to 255.5:0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2546809 205 0 10784 204005 321359 0 102781 34713 27323 0 18828 9576 6359 4766 0 4060 3468 2995 0 2697 2412 2476 0 3114 2025 2058 0 2448 3201 3154 0 1957 1709 1871 2087 0 2106 1966 1813 0 1971 1932 2124 0 2173 2199 2388 0 2522 2304 2592 2937 0 3290 3408 3815 0 4217 5105 5287 0 5923 6654 7672 0 8282 9382 10260 11578 0 12169 13372 14105 0 15054 15635 16055 0 16717 17515 17835 0 18238 19126 19656 19940 0 20362 21236 21884 0 22606 22894 23705 0 25630 25871 26671 0 28642 30235 30879 31852 0 34182 34545 35538 0 37209 39698 39864 0 41392 43008 46048 0 45677 46483 47973 50442 0 49155 50472 50804 0 53178 51920 52343 0 52185 54229 52207 0 51254 51175 52009 50066 0 48282 46765 47638 0 43989 42850 40753 0 39912 36596 34640 0 32558 31528 29814 0 27604 25756 25088 22551 0 21542 20521 19187 0 17587 16581 15660 0 14844 12888 12344 0 11299 10378 9739 8855 0 8445 7287 6625 0 6141 5656 5171 44046Metadata:STATISTICS_MAXIMUM=255STATISTICS_MEAN=127.35112762584STATISTICS_MINIMUM=71STATISTICS_STDDEV=63.617218753897 Band 2 Block=3480x8 Type=Byte, ColorInterp=GreenMin=74.000 Max=255.000Minimum=74.000, Maximum=255.000, Mean=125.841, StdDev=58.532 0...10...20...30...40...50...60...70...80...90...100 - done.256 buckets from -0.5 to 255.5:0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2548311 0 0 0 0 8256 0 0 0 0 0 39077 0 0 0 0 0 134637 0 0 0 0 330770 0 0 0 0 0 156551 0 0 0 0 0 44353 0 0 0 0 0 29599 0 0 0 0 46427 0 0 0 0 0 80183 0 0 0 0 0 129762 0 0 0 0 175866 0 0 0 0 0 206347 0 0 0 0 0 196923 0 0 0 0 177856 0 0 0 0 0 150421 0 0 0 0 0 138376 0 0 0 0 0 120013 0 0 0 0 109888 0 0 0 0 0 103964 0 0 0 0 0 92611 0 0 0 0 89297 0 0 0 0 0 82351 0 0 0 0 0 80633 0 0 0 0 0 75891 0 0 0 0 75721 0 0 0 0 0 70638 0 0 0 0 0 69561 0 0 0 0 62096 0 0 0 0 0 57576 0 0 0 0 0 49361 0 0 0 0 44828 0 0 0 0 277056Metadata:STATISTICS_MAXIMUM=255STATISTICS_MEAN=125.84129227771STATISTICS_MINIMUM=74STATISTICS_STDDEV=58.531957864514 Band 3 Block=3480x8 Type=Byte, ColorInterp=BlueMin=65.000 Max=255.000Minimum=65.000, Maximum=255.000, Mean=126.632, StdDev=62.041 0...10...20...30...40...50...60...70...80...90...100 - done.256 buckets from -0.5 to 255.5:0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2546770 0 0 0 0 0 9 0 0 0 0 31 0 0 0 0 0 1118 0 0 0 0 17499 0 0 0 0 60662 0 0 0 0 0 157738 0 0 0 0 193171 0 0 0 0 167132 0 0 0 0 0 68977 0 0 0 0 44071 0 0 0 0 0 22446 0 0 0 0 24043 0 0 0 0 33477 0 0 0 0 0 51788 0 0 0 0 78813 0 0 0 0 99862 0 0 0 0 0 124114 0 0 0 0 161637 0 0 0 0 192497 0 0 0 0 0 220448 0 0 0 0 222291 0 0 0 0 0 216215 0 0 0 0 204474 0 0 0 0 176557 0 0 0 0 0 162568 0 0 0 0 137747 0 0 0 0 115134 0 0 0 0 0 98043 0 0 0 0 80529 0 0 0 0 0 66793 0 0 0 0 53615 0 0 0 0 44621 0 0 0 0 0 38139 0 0 0 0 30184 0 0 0 0 25721 0 116266Metadata:STATISTICS_MAXIMUM=255STATISTICS_MEAN=126.63214262122STATISTICS_MINIMUM=65STATISTICS_STDDEV=62.041498751993
<PAMDataset><PAMRasterBand band="1"><Histograms><HistItem><HistMin>-0.5</HistMin><HistMax>255.5</HistMax><BucketCount>256</BucketCount><IncludeOutOfRange>1</IncludeOutOfRange><Approximate>0</Approximate><HistCounts>0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2546809|205|0|10784|204005|321359|0|102781|34713|27323|0|18828|9576|6359|4766|0|4060|3468|2995|0|2697|2412|2476|0|3114|2025|2058|0|2448|3201|3154|0|1957|1709|1871|2087|0|2106|1966|1813|0|1971|1932|2124|0|2173|2199|2388|0|2522|2304|2592|2937|0|3290|3408|3815|0|4217|5105|5287|0|5923|6654|7672|0|8282|9382|10260|11578|0|12169|13372|14105|0|15054|15635|16055|0|16717|17515|17835|0|18238|19126|19656|19940|0|20362|21236|21884|0|22606|22894|23705|0|25630|25871|26671|0|28642|30235|30879|31852|0|34182|34545|35538|0|37209|39698|39864|0|41392|43008|46048|0|45677|46483|47973|50442|0|49155|50472|50804|0|53178|51920|52343|0|52185|54229|52207|0|51254|51175|52009|50066|0|48282|46765|47638|0|43989|42850|40753|0|39912|36596|34640|0|32558|31528|29814|0|27604|25756|25088|22551|0|21542|20521|19187|0|17587|16581|15660|0|14844|12888|12344|0|11299|10378|9739|8855|0|8445|7287|6625|0|6141|5656|5171|44046</HistCounts></HistItem></Histograms><Metadata><MDI key="STATISTICS_MAXIMUM">255</MDI><MDI key="STATISTICS_MEAN">127.35112762584</MDI><MDI key="STATISTICS_MINIMUM">71</MDI><MDI key="STATISTICS_STDDEV">63.617218753897</MDI></Metadata></PAMRasterBand><PAMRasterBand band="2"><Histograms><HistItem><HistMin>-0.5</HistMin><HistMax>255.5</HistMax><BucketCount>256</BucketCount><IncludeOutOfRange>1</IncludeOutOfRange><Approximate>0</Approximate><HistCounts>0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2548311|0|0|0|0|8256|0|0|0|0|0|39077|0|0|0|0|0|134637|0|0|0|0|330770|0|0|0|0|0|156551|0|0|0|0|0|44353|0|0|0|0|0|29599|0|0|0|0|46427|0|0|0|0|0|80183|0|0|0|0|0|129762|0|0|0|0|175866|0|0|0|0|0|206347|0|0|0|0|0|196923|0|0|0|0|177856|0|0|0|0|0|150421|0|0|0|0|0|138376|0|0|0|0|0|120013|0|0|0|0|109888|0|0|0|0|0|103964|0|0|0|0|0|92611|0|0|0|0|89297|0|0|0|0|0|82351|0|0|0|0|0|80633|0|0|0|0|0|75891|0|0|0|0|75721|0|0|0|0|0|70638|0|0|0|0|0|69561|0|0|0|0|62096|0|0|0|0|0|57576|0|0|0|0|0|49361|0|0|0|0|44828|0|0|0|0|277056</HistCounts></HistItem></Histograms><Metadata><MDI key="STATISTICS_MAXIMUM">255</MDI><MDI key="STATISTICS_MEAN">125.84129227771</MDI><MDI key="STATISTICS_MINIMUM">74</MDI><MDI key="STATISTICS_STDDEV">58.531957864514</MDI></Metadata></PAMRasterBand><PAMRasterBand band="3"><Histograms><HistItem><HistMin>-0.5</HistMin><HistMax>255.5</HistMax><BucketCount>256</BucketCount><IncludeOutOfRange>1</IncludeOutOfRange><Approximate>0</Approximate><HistCounts>0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|2546770|0|0|0|0|0|9|0|0|0|0|31|0|0|0|0|0|1118|0|0|0|0|17499|0|0|0|0|60662|0|0|0|0|0|157738|0|0|0|0|193171|0|0|0|0|167132|0|0|0|0|0|68977|0|0|0|0|44071|0|0|0|0|0|22446|0|0|0|0|24043|0|0|0|0|33477|0|0|0|0|0|51788|0|0|0|0|78813|0|0|0|0|99862|0|0|0|0|0|124114|0|0|0|0|161637|0|0|0|0|192497|0|0|0|0|0|220448|0|0|0|0|222291|0|0|0|0|0|216215|0|0|0|0|204474|0|0|0|0|176557|0|0|0|0|0|162568|0|0|0|0|137747|0|0|0|0|115134|0|0|0|0|0|98043|0|0|0|0|80529|0|0|0|0|0|66793|0|0|0|0|53615|0|0|0|0|44621|0|0|0|0|0|38139|0|0|0|0|30184|0|0|0|0|25721|0|116266</HistCounts></HistItem></Histograms><Metadata><MDI key="STATISTICS_MAXIMUM">255</MDI><MDI key="STATISTICS_MEAN">126.63214262122</MDI><MDI key="STATISTICS_MINIMUM">65</MDI><MDI key="STATISTICS_STDDEV">62.041498751993</MDI></Metadata></PAMRasterBand> </PAMDataset>
-nogcp:no ground control points,禁止地面控制点列表打印。它对包含大量GCPs的数据集很有用,比如L1B AVHRR或HDF4 MODIS,它们包含数千个GCPs。
-nomd:不打印元数据。no matedata
#在cmd中输入:gdalinfo -nomd mod09a12003161_ugl_ll_8bit.tifDriver: GTiff/GeoTIFF Files: mod09a12003161_ugl_ll_8bit.tifmod09a12003161_ugl_ll_8bit.tif.aux.xml Size is 3480, 1740 Coordinate System is: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433],AUTHORITY["EPSG","4326"]] Origin = (-97.374336840009619,49.415918595779075) Pixel Size = (0.004733056960530,-0.004733056960530) Corner Coordinates: Upper Left ( -97.3743368, 49.4159186) ( 97d22'27.61"W, 49d24'57.31"N) Lower Left ( -97.3743368, 41.1803995) ( 97d22'27.61"W, 41d10'49.44"N) Upper Right ( -80.9032986, 49.4159186) ( 80d54'11.88"W, 49d24'57.31"N) Lower Right ( -80.9032986, 41.1803995) ( 80d54'11.88"W, 41d10'49.44"N) Center ( -89.1388177, 45.2981590) ( 89d 8'19.74"W, 45d17'53.37"N) Band 1 Block=3480x8 Type=Byte, ColorInterp=RedMin=71.000 Max=255.000Minimum=71.000, Maximum=255.000, Mean=127.351, StdDev=63.617 Band 2 Block=3480x8 Type=Byte, ColorInterp=GreenMin=74.000 Max=255.000Minimum=74.000, Maximum=255.000, Mean=125.841, StdDev=58.532 Band 3 Block=3480x8 Type=Byte, ColorInterp=BlueMin=65.000 Max=255.000Minimum=65.000, Maximum=255.000, Mean=126.632, StdDev=62.041
-norat:不打印光栅属性表。
-noct:不打印颜色表。强制计算数据集中每个波段的校验和。
-checksum:强制计算数据集中每个波段的校验和。
-listmdd:列出数据集所在域中的所有metadata
-mdd domain:列出指定域中的metadata
-nofl:只显示数据集中的第一条数据对象的信息
-sd subdataset:如果输入数据集包含多个子数据集,则读取并显示指定编号(从1开始)的子数据集。 gdalinfo -sb 1 datasetname
-proj4:通过数据信息,转换出prog4的坐标文件信息。
#在cmd中输入:gdalinfo -proj4 mod13a12000257evi.tifDriver: GTiff/GeoTIFF Files: mod13a12000257evi.tif Size is 3606, 1807 Coordinate System is: GEOGCS["Clarke_1866",DATUM["Clarke_1866",SPHEROID["Clarke 1866",6378206.4,294.9786982138982]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433]] PROJ.4 string is: '+proj=longlat +ellps=clrk66 +no_defs ' Origin = (-97.710937299999998,49.574459599999997) Pixel Size = (0.004724303830000,-0.004724303830000) ...
-oo NAME=VALUE:数据集打开操作项
datasetname:数据名称
转载于:https://www.cnblogs.com/eshinex/p/10314064.html
GDAL——命令使用专题——gdalinfo命令相关推荐
- gdal命令实操专题——ogrinfo命令(转)
GDAL--命令使用专题--ogrinfo命令 前言 GDAL(Geospatial Data Abstraction Library)是一个在X/MIT许可协议下的开源栅格空间数据转换库.它利用抽象 ...
- scrapy命令明细:全局命令
接下来我们来一一介绍scrapy命令有哪些,其实灰常少,也就十四五个,在这十四五个中,常用的就纳么两三个而已,如: scrapy startproject(创建项目). scrapy crawl XX ...
- unix常用命令对照表及常用命令资料
显示当前操作系统名称 Platform Operating System Version Command Aix 4.3.3 oslevel -r Aix 5.1 oslevel -r HP HP-U ...
- mysq命令行导出sql_MySQL命令行导出、导入数据库,备份数据库表
MySQL导出数据库/数据表 1.首先,将你MySQL安装目录,例如C:\Program Files\MySQL\MySQL Server 5.7\bin添加到你的系统环境变量PATH中: 2.导出数 ...
- 浅显易懂 Makefile 入门 (08)— 默认 shell (/bin/sh)、命令回显、make参数(-n 只显示命令但不执行,-s 禁止所有回显)、单行命令、多行命令、并发执行
1. shell 相关 1.1 默认 shell Makefile 所使用的命令是由 shell 命令行组成,他们是一条一条执行的. 多个命令之间要使用分号隔开,Makefile 中的任何命令都要以 ...
- mysql ls命令,Linux 常用 ls命令详解
ls命令是linux常用命令之一,用于在命令控制台提示符中列出目录和文件信息. 一.ls命令用法: ls命令运行在命令提示符终端,用法如下.其中[选项]和为可选参数,可以一零个或者多个选项:[文件]也 ...
- linux的帮助命令及区别,Linux命令及帮助
学习linux得熟练的掌握linux的命令,linux的命令分内部命令和外部命令. 内部命令:内置于shell中,属于shell的一部分 外部命令:shell之外的命令,在文件系统的某个路径下有一个与 ...
- bash的常见命令及文章查看命令
回顾: FHS,命令及bash命令历史 FHS: /bin,/sbin, /lib, /lib64, /etc /home,/root /boot /media,/mnt /proc,/sys /tm ...
- USEARCH11命令大全,200+命令中文简介,快速查找需要功能
序列比对 嵌合体检测和过滤 序列.树和基于图形的聚类 距离矩阵 多样性分析 fastq格式文件处理 Fasta和fastq文件处理格式 机器学习和鉴定有用OTUs 其它命令 OTU分析和去噪 OTU表 ...
最新文章
- git 的 merge 与 no-ff merge 的不同之处
- 首篇NLP图神经网络综述!127页文档让你全面了解这个领域
- easyui-textbox 和 easyui-validatebox 设置值和获取值
- SAP报表程序的下载上传
- Java Swing MySQL图书管理系统
- linux 怎么查看谁登过这台服务器,如何查看linux服务器是否被入侵
- 【Aspose-CAD for Java】DWG如何优雅的转换成PDF文档!
- Ribbon界面开发
- 怎样使计算机桌面有励志壁纸,适合电脑的高清励志桌面壁纸
- Windows 10 不同版本WHQL认证驱动数字签名兼容问题
- java 手机推荐_Java一样也智能 中低端手机上网助手推荐
- 图片格式与设计那点事儿
- java utc时间_Java获得UTC时间
- 第12课:如何理解技术管理者(上)
- 国家开放大学2021春2129药物化学题目
- 我的世界正版服务器开服,MC服务器开服方法
- Radon定理与证明
- 用谷歌浏览器打开本地unity webgl报错
- Infor与AI的美丽邂逅
- Qt播放视频报错 DirectShowPlayerService::doRender: Unresolved error code 0x80040266
热门文章
- Allegro中 板框 尺寸标注
- 高通宣布苹果_苹果当时宣布的一切都过得很顺利
- ubuntu安装sdkman
- STM32DIY机械键盘
- 【人脸识别】基于 Gabor+SVM和PCA+SVM实现人脸识别matlab源码含 GUI
- 代理记账的基本流程是什么
- Mobaxterm X server远程Linux服务器使用浏览器(firefox或google chrome)
- linux pdf 加水印,将动态水印添加到PDF
- c语言程序设计答案苏小红,C语言程序设计苏小红版答案[推荐阅读]
- mac 您没有权限打开应用程序_Mac应用程序无法打开或文件损坏的处理方法