Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2010, Vol. 22 Issue (4) : 113-116     DOI: 10.6046/gtzyyg.2010.04.23
Technology Application |

An Analysis of the Terrestrial NPP from 2002 to 2006 in China Based on MODIS data
 WANG Li-Juan, NIU Zheng, KUANG Da
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
Download: PDF(780 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

 In this paper, MODIS data from 2002 to 2006 were processed, the terrestrial NPP in China were calculated through statistic analysis, and then the results were analyzed. The results show that, from 2002 to 2006, the average terrestrial NPP was 1.5 PgC. The five-year national terrestrial NPP composition analysis indicates that most of the national NPP concentrated in 0~300 gC/m2 , the percentage of NPP was about 70%~85%, and the annual NPP in most parts of China showed a downward trend, which was significantly affected by urban expansion, new industrial land and other human activities.

Keywords Geostatistical texture      Variogram      Variogram of logarithms      Lithological discrimination     
: 

 

 
  TP 79

 
Issue Date: 02 August 2011
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
HUANG Ying-duan
LI Pei-jun
LI Zheng-xiao
Cite this article:   
HUANG Ying-duan,LI Pei-jun,LI Zheng-xiao.
An Analysis of the Terrestrial NPP from 2002 to 2006 in China Based on MODIS data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 113-116.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.04.23     OR     https://www.gtzyyg.com/EN/Y2010/V22/I4/113

[1]Lieth H, Whittaker R H. Primary Productivity of the Biosphere[M].New York:Springer-Verlad Press, 1975.

[2]Field C B, Behrenfeld M J, Randerson J T, et al. Primary Productivity of the Biosphere:Intergraling Terrestrial and Oceanic Complements[J].Science,1998(281):237-240.

 [3]肖文发,徐德应. 森林能量利用与产量形成的生理生态基础[M]. 北京:中国林业出版社, 1999.

 [4]牛建明.内蒙古主要植被类型与气候因子关系的研究[J].应用生态学报,2000,11(1):47-52.

[5]侯英雨,柳钦火,延昊,等. 我国陆地植被净初级生产力变化规律及其对气候的响应[J].应用生态学报,2007,18(7):1546-1553.

[6]Zhao M, Heinseh F A, Nemani R R, el al. Improvements of the MODIS Terrestrial Gross and Net Primary Production Global Data Set [J]. Remote Sensing of Environment, 2005, 95(2):164-176.

[7]郭晓寅,何勇,沈永平,等. 基于MODIS资料的2000~2004年江河源区陆地植被净初级生产力分析[J].冰川冻土,2006,28(4):512-518.

 [8]何勇,董文杰,季劲均,等.基于AVM的中国陆地生态净初级生产力模拟[J]. 地球科学进展,2005,20(3):345-349.

 [9]张晓浩,黎夏,施迅,等. 广东省水稻生物质能的估算[J].遥感信息,2007(1):26-29.

 [10]国志兴,王宗明,张柏,等. 2000年~2006年东北地区植被NPP的时空特征及影响因素分析[J].资源科学,2008, 30(8):1226-1235.

 [11]朴世龙,方精云,郭庆华. 利用CASA模型估算我国植被净初级生产力[J]. 植物生态学报, 2001,25(5):603-608.

 [12]陈斌,王绍强,刘荣高,等.中国陆地生态系统NPP模拟与空间分局分析[J]. 资源科学,2007,29(6):45-53.

[13]Chaoyang W, Zheng N, Quan T, et al. Remote Estimation of Gross Primary Production in Wheat Using Chlorophyll-related Vegetation Indices[J]. Agricultural and Forest Meteorology, 2009, 149:1015-1021.

 

[1] ZHANG Enbing, QIN Kun, YUE Mengxue, ZHANG Ye, ZENG Cheng. Feature description and extraction of residential area based on variogram function and grid division[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 149-155.
[2] LIU Changzhen, SHU Hong, ZHANG Zhi, MA Guorui. Variogram texture extraction and classification of high resolution remote sensing images based on multi-resolution segmentation[J]. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 47-53.
[3] LI Shu-Kun, LI Pei-Jun, CHENG Tao. REMOTE SENSING CHANGE DETECTION BY
INCLUSION OF MULTITEMPORAL TEXTURE
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2009, 21(3): 35-40.
[4] HUANG Yan, ZHANG Chao, SU Wei, YUE An-Zhi. A STUDY OF THE OPTIMAL SCALE TEXTURE ANALYSIS FOR REMOTE SENSING IMAGE CLASSIFICATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(4): 14-17.
[5] YANG Bo, Wu De-Wen, CHEN Yun-Hao, LI Jing, ZHU Gu-Chang. A MIXED ALTERATION REMOTE SENSING MODEL FOR
EXTRACTING MINERALIZATION INFORMATION:
A CASE STUDY OF THE YINGZUISHAN GOLD DEPOSIT
[J]. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(1): 20-25.
[6] HUANG Ying-duan, LI Pei-jun, LI Zheng-xiao. THE APPLICATION OF GEOSTATISTICAL IMAGE TEXTURE TO REMOTE SENSING LITHOLOGICAL CLASSIFICATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(3): 45-49.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech