Rapideye, spot satellite remote sensing image data

at present Geographic remote sensing ecological network platform High resolution satellite remote sensing image data has been released .

Sample data ： Baidu cloud download link ：https://pan.baidu.com/s/17ofPwpDM3OCHnE-LuhvUp  Extraction code ：i0m4

RapidEye Fast bird ：

        Germany RapidEye satellite 2008 year 8 month 29 Launch Sunday , One by 5 A constellation of earth observation satellites ,5 star RapidEye Satellites are evenly distributed in a sun synchronous orbit , stay 620 Monitor the ground at an altitude of 1000 meters , The mission life is 7 year .RapidEye The unique red edge band of the satellite , Classification of vegetation using red edge band 、 Vegetation growth assessment 、 Provide effective means for crop yield estimation , Make it in agriculture 、 Forestry is widely used , Get multinational agriculture 、 Recognized by the forestry department . In addition to band information “ Coincide ” Agriculture 、 Forestry applications , Low cost programming customization services , It can better meet the continuous monitoring of large areas of vegetation .

RapidEye Classification of satellite products

Orthophoto product 3A	Orthophoto product 3B	Mosaic products 3M	Basic products 1B
Radiometric correction Sensor calibration Geometric correction 5 m  Pixel size 5  A spectral band 25 kmx 25 km Block	Radiometric correction Sensor calibration Geometric correction and binding 5 m  Pixel size 5  A spectral band from AOI decision	RGB True color synthesis 5m  The resolution of the Existing or customized Orthorectification Radiant color balance Almost cloudless	Radiometric correction Sensor calibration 6.5 m  Pixel size 5  A spectral band

       RapidEye Satellite ordering is commonly used 1B and 3A Two levels , Brief introduction , If you are going to do your own orthophoto processing, there are requirements for accuracy , It is recommended to buy 1B Level products , Processing after receiving data ; Like technology 、 Time and other conditions do not allow , You can order directly 3A Level products have fused real color data , Almost no cloud can be used more quickly RapidEye Satellite data applications .

SPOT Satellite remote sensing image data ：

2012 year 9 month 9 Day launched SPOT6 Satellites and 2014 year 6 month 30 Day launched SPOT7 satellite , Joint networking , Dual constellation operation .60*60 Wide range photographic image data , A single satellite can achieve 3 Within days , Revisit anywhere in the world . Double stars greatly increase the shooting efficiency , meanwhile SPOT6、SPOT7 Have a higher 1.5 Meter resolution , Advanced satellite system design and mobility , It can meet the application of large-area continuous update monitoring .

SPOT6 and SPOT7 Near infrared spectrum of satellite data （790nm-890nm） It can penetrate the atmosphere , In good weather , The vegetation reflection is particularly bright , The reflection of water body is dark . The red and near-infrared bands play an important role in the study of water and vegetation .

SPOT6 Satellite parameters

Date of Launch	2012 year 9 month 9 Day and 2014 year 6 month 30 Japan
Spatial resolution	panchromatic ：1.5m Multispectral 6m
The product type	Obtain panchromatic and multispectral image data
Band	panchromatic 、 red 、 green 、 blue 、 The near infrared
width of cloth	60 km
Format	JPEG 2000
Stereoscopic products	Stereoscopic or trilinear array imaging

SPOT6、SPOT7 Characteristics of satellite data ：

1、 The Gemini stars move , Large area continuous data acquisition ;

2、 Inherit SPOT Series of satellites have the advantage of wide range ,3600 Square kilometers covers a large area ;

3、 Constellation customized programming data has strong advantages , The success rate of efficient programming .

SPOT6 Satellite image data format ：

1、 routine JPG2000 (8bits/ pixel ) Users with high accuracy requirements are recommended to choose ;

2、 Optimize JPG2000 (3.5bits/ pixel );

3、 The best choice for fast data download and application GEOTIFF Format .

 

        The data acquisition method is as follows ：