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Global 500 meter net primary productivity data set (2000-2018)


数据基本信息
数据时间:
1982-2018
空间位置:
Global
关键词:
Climate zone productivitytotal NPPforest distributionGEOARCClimate zone productivitytotal NPPforest distributionGEOARC
学科类别:
420 surveying and Mapping Science and technology - 420.Photogrammetry and remote sensing technology - 420.2040 Remote Sensing Information Engineering
主题分类:
Information and deep processing data products - Remote sensing application data products - Natural resources remote sensing information products -
数据条目:
0 条
数据分辨率:
数据类型:
Raster data other than the original remote sensing image

数据集缩略图


数据摘要

Based on the global 30-meter resolution forest cover products and the global 500-meter resolution forest net primary productivity (NPP) products in 2018, this chapter studies the spatial distribution characteristics of forest cover and productivity status at the global, climatic and intercontinental scales, and analyzes the correlation between global forest cover status and global economy, population development, forest management system and management objectives. The global forest area in 2018 is 3.815 billion hm ², Accounting for 25.60% of the global land area; The NPP of forest ecosystem is up to 35.283 billion tC per year, accounting for 55.44% of the global vegetation NPP. The distribution of forests in various climatic zones around the world is uneven. Among them, tropical regions have the largest forest coverage, with an area of 1.847 billion hm ², Accounting for 48.40% of the total global forest area; Similarly, the total amount of forest NPP in tropical regions is also the highest, 24.05PgCyr '(1PgC=1 billion tons of carbon), accounting for 68.17% of the total amount of global forest NPP. From the perspective of each continent, the current situation of forest cover varies significantly. Asia has the largest forest coverage, accounting for 30.91% of the total global forest coverage; The second is South America and North America, with forest coverage accounting for 22.29% and 20.11% of the global total forest coverage respectively. In terms of forest coverage, South America has the highest forest coverage, reaching 47.66%; The second is Europe and North America, with forest coverage of 36.06% and 31.05% respectively. The total forest NPP of each continent is South America, Asia, Africa, North America, Europe and Oceania from high to low, with the highest of 11.78 Pg C yr ', accounting for 33.39% of the total global forest NPP; The lowest is only 1.53PgCyr ', accounting for 4.33% of the total global forest NPP.


数据作者(联系人)信息
姓名:
He Guojin, Zhang Xiaomei, Yuan Wenping, He Binbin, Zhang Zhaoming, Zheng Yi, Quanxing, Wen Long, Teng Fei, Yin Ranyu, Wang Wei, Yan Shijie, Wang Guizhou, Xiao Han, Guo Yantao, Wang Meng, He Chen Linqiu, Wei Mingyue, Tang Dynasty, Zhou Deng, Chen Jinfen, Leng Wanchun, Guo Hongxiang, Gong Chengjuan, Zheng Xiang, He Haipeng, Zhang Chi, Zhang Jingshui, Min, Pu Dongchuan, Huang Liting, Zheng Qin, Sun Jiayue, Peng Yan, Liu Huichan, Jiao Weili, Li Moxuan, Liao Zhanmang, Liu Xiang, Zhu Wen Chongbo, Luo Kai Wei, Lai Gengke, Cheng Bo, Liu Yiliang, Wang Sisi, Miao Chen, Liu Shuang, Tian Linlin, Yang Jie, Chen Chunyang, Li Han, Guo Jiahuan, Zhu Lin, Zhu Yanhui, Yang Yanli, Liu Yangtong
联系人电话:
邮编:
100094
联系人邮箱:
单位:
Institute of Aerospace Information Innovation, Chinese Academy of Sciences; Sun Yat-sen University; University of Electronic Science and technology
地址:
9 Dengzhuang South Road, Haidian District, Beijing

空间位置


数据引用方式及申明

Use statement: based on the multi-temporal global 30-meter resolution forest burning products, the global 500m resolution forest net primary productivity (NPP) products, and the global forest fire risk index products, they are derived from the "2019 annual report of global ecological environment remote sensing monitoring - global forest cover status and change" of the National Remote Sensing Center of the Ministry of Science and Technology of the People's Republic of China; Quote: He Guojin, Zhang Xiaomei, Yuan Wenping, He Binbin, Zhang Zhaoming, Zheng Yi, Quanxing, Wen Long, Tengfei, Yin Ranyu, Wang Wei, Yan Shijie, Wang Guizhou, Xiao Han, Guo Yantao, Wang Meng, Chen Linqiu, Wei Mingyue, Tang Dynasty, Zhou Denji, Chen Jinfen, Leng Wanchun, Guo Hongxiang, Gong Chengjuan, Zheng Xiang, He Haipeng, Zhang Chi, Zhang Jingshui, Min, Pu Dongchuan, Huang Liting, Zheng Qin, Sun Jiayue, Peng Yan, Liu Huichan, Jiao Weili, Li Moxuan, Liao Zhanmang, Liu Xiangzhuo Wen Chongbo, Luo Kaiwei, Lai Gengke, Cheng Bo, Liu Yiliang, Wang Sisi, Miao Chen, Liu Shuang, Tian Linlin, Yang Jie, Chen Chunyang, Li Han, Guo Jiahuan, Zhu Lin, Zhu Yanhui, Yang Yanli, Liu Yangtong, Institute of Aerospace Information Innovation, Chinese Academy of Sciences; Sun Yat-sen University; University of Electronic Science and Technology based on multi-temporal global 30-meter resolution forest fire products, global 500m resolution forest net primary productivity (NPP) products, and global forest fire risk index products


数据分发和版权信息
授权分发范围:
Domestic and foreign distribution
数据级别:
Undifferentiated access
数据共享方式:
Apply offline

数据其他信息
平台名称:
仪器名称:
产品级别::
-
数据投影信息:

数据溯源信息
数据来源描述:
GLASS
数据生成过程描述:
Divide the world into 43 forest cover zones, and establish a global forest sample database. On this basis, combine machine learning algorithm with big data analysis, take multi-temporal Landsat data as the main data source, use random forest algorithm for large sample learning and model training, generate a global forest partition classifier, and finally complete the production of global forest cover products.
数据质量信息:
>75%

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