Data download link: Baidu cloud download link
Guangdong Province is a province on the southern coast of mainland China. It is located to the south of the Nanling Mountains. It belongs to the East Asian monsoon region. . The annual average temperature is about 19℃~24℃, the average temperature in January is about 16℃~19℃, and the average temperature in July is about 28℃~29℃.
Active accumulated temperature, that is, the sum of daily active temperatures in a certain period of time or a certain growing season of crops, is the main indicator to characterize the heat resources of a place and the heat requirements of crop growth and development. Active accumulated temperature is widely used in agro-climatic analysis, agro-climatic zoning and agro-meteorological forecasting. Usually, the daily average temperature over a period of 10°C or more is accumulated, and the total temperature obtained is called the active accumulated temperature.
The monthly active accumulated temperature data in Guangdong Province is obtained by calculating the daily average temperature value and monthly accumulated temperature value on the basis of the hourly observation temperature data of the meteorological observation station, and then spatial interpolation is carried out considering factors such as altitude. The data format is raster, the spatial reference is WGS_1984, the spatial resolution is 1 km, the time range is from 2000 to the present, and the spatial range covers the whole of Guangdong Province.
Source of data acquisition:
1. Geographic Remote Sensing Ecological Network www.gisrs.cn
At the same time, the geographic remote sensing ecological network www.gisrs.cn shares a lot of scientific data in the field of geographic remote sensing (land use data, npp net primary productivity data, NDVI data, meteorological data (precipitation, temperature, evapotranspiration, radiation, humidity) , sunshine hours, wind speed, water vapor pressure data), runoff data, night light data, statistical yearbook, road network, POI point of interest data, GDP distribution, population density distribution, tertiary watershed vector boundary, geological disaster distribution data, soil Geographical data such as type, soil texture, soil organic matter, soil PH value, soil texture, soil erosion, vegetation type, distribution of nature reserves, distribution of building contours, etc., as well as operation tutorials on gis and remote sensing, national monthly average solar radiation Spatial distribution data/monthly rainfall distribution/monthly average temperature distribution) national aviation and airport distribution vector data/tourist attraction poi/national port terminal distribution/subway station distribution/train station distribution/2020 POI vector data.
2. Geospatial Data Cloud
(1) Global Land Cover Plan 2000 (GLC2000)
(2) ESA Global Land Cover Data (ESA GlobCover)
3. Geographical Science Ecology Network
Website address www.csdn.store
4. The University of Maryland data set
UMd based on the 5 bands of AVHRR data and NDVI data has been combined to propose a data matrix again, and the global land cover classification has been carried out with the method of classification tree. Its purpose is to hope to build a dataset with higher accuracy than past data
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