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Normalized vegetation index (NDVI) data, NPP data, GPP data, evapotranspiration data, vegetation type data, ecosystem type distribution data
2022-06-12 04:48:00 【Geographic remote sensing ecological network】
introduction
Retrieval of vegetation index from a variety of satellite remote sensing data (NDVI) The product is one of the series of ecological environment data products launched by the geographic remote sensing ecological network . The product includes three bands RGB, The value range is 0-255 Between , The data type is 8bit integer , Value -1 and 1 Between . NDVI The general estimation method is adopted in the estimation of , It has been interpreted by relevant experts from the Institute of Geographical Sciences and resources, Chinese Academy of Sciences and verified by field measured data , Good spatial consistency .
Data download link : Data download link
Text
Raster data source
Data name | Retrieval of vegetation index from a variety of satellite remote sensing data (NDVI) |
data type | grid |
data format | TIFF |
The resolution of the | 1km、500m、250m、100m、30m、10m |
Time range | 1981-2021, year by year 、 Month by month 、 Every ten days 、 By 8 God |
Coordinate system | GCS_WGS_1984 |
Coverage | All over China |
Data brief
NDVI Is the normalized vegetation index , Vegetation generally reflects obvious and bright near-infrared light , Red light is relatively dark due to photosynthesis , It is strongly different from other ground objects in remote sensing images , Therefore, using this calculation in the near infrared and red bands , The value of vegetation is obviously high , Plants can be easily distinguished , The advantage of normalization is that the numerical range is relatively concentrated .
NDVI It can reflect the background influence of plant canopy , Like the soil 、 Wet ground 、 snow 、 Withered leaf 、 Coarse excess, etc , And it is related to vegetation cover ,-1≤NDVI≤1, A negative value indicates that the ground is covered with clouds 、 water 、 Snow, etc. , Highly reflective of visible light ;0 It means there is rock or bare soil, etc , NIR and R Approximately equal ; Comes at a time , Indicates vegetation cover , And it increases with the increase of coverage .
By the end of 2007 year , The forest coverage rate of Beijing is close to 50%, The forest coverage rate in mountainous areas has reached 70%, The urban greening coverage rate has reached 40% above , The city has formed three green ecological barriers ,“ Wuhe 10th Road ” Formed on both sides 2.3 Ten thousand hectares of green belt , The city has been built 1.2 10000 hectares of green isolation belt , The area of the city's nature reserves shall not be less than... Of the city's land area 8%. The city has formed a mountainous area 、 There are three green ecological barriers in the isolated areas of plain and urban greening , mountain area 95% The above barren mountains are suitable for afforestation , Formed a lush forest 、 The pleasant sight of green surrounding the capital .
Retrieval of vegetation index from a variety of satellite remote sensing data (NDVI) The product is one of the series of ecological environment data products launched by the geographic remote sensing ecological network . The product includes three bands RGB, The value range is 0-255 Between , The data type is 8bit integer , Value -1 and 1 Between . NDVI The general estimation method is adopted in the estimation of , It has been interpreted by relevant experts from the Institute of Geographical Sciences and resources, Chinese Academy of Sciences and verified by field measured data , Good spatial consistency .
Range of application
Vegetation index (NDVI) It can be used to detect the growth state of vegetation 、 Vegetation coverage and elimination of partial radiation errors , Its main applications are as follows :
1、 Application NDVI Vegetation index for grassland growth monitoring ;
2、 social - Study on dynamic hierarchical structure of ecosystem species ;
3、 Real ground data obtained through earth observation satellites ;
4、 Weed cover drawing ;
5、 crop yield / Density estimation ;
6、 use NDVI Judge the state of plant growth : Plant chlorophyll absorbs red light through photosynthesis , So the better growing plants absorb more red light , The more near-infrared light is reflected . therefore NDVI It can reflect the amount of plant biomass ,NDVI The bigger it is , The better the plants grow .
7、NDVI It can be used for forest fire monitoring , It makes up for the lack of data that GIS is difficult to update at any time , The interference of cloud on bed drying is eliminated , The accuracy of forest fire monitoring is improved , Timeliness and reliability .
Data source reference : Geographic remote sensing ecological network www.gisrs.cn
meanwhile , Geographic remote sensing ecological network www.gisrs.cn Many scientific data in the field of Geographical remote sensing are shared on the website ( Land use data 、npp Net primary productivity data 、NDVI data 、 Weather data ( rainfall 、 The temperature 、 Evapotranspiration 、 radiation 、 humidity 、 Sunshine hours 、 The wind speed 、 Vapor pressure data )、 Runoff data 、 Night light data 、 Statistical yearbook 、 road network 、POI Point of interest data 、GDP Distribution 、 Population density distribution 、 Vector boundary of tertiary watershed 、 Geological hazard distribution data 、 Soil type 、 Soil texture 、 Soil organic matter 、 soil PH value 、 Soil texture 、 Soil erosion 、 Vegetation type 、 Distribution of nature reserves 、 Building contour distribution and other geographic data , And about the gis、 A tutorial on remote sensing ).
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