Vegetation NPP distribution based on MODIS data and CASA model: a case study in the Haihe River Basin, China

Lin Wang; Hong Gan; Caiping Zhou; Haitao Zhang; Chao Lin; Qilin Zhu

doi:10.1117/12.790868

19 February 2008 Vegetation NPP distribution based on MODIS data and CASA model: a case study in the Haihe River Basin, China

Lin Wang, Hong Gan, Caiping Zhou, Haitao Zhang, Chao Lin, Qilin Zhu

Author Affiliations +

Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 66250X (2008) https://doi.org/10.1117/12.790868
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

Moderate Resolution Imaging Spectroradiometer (MODIS) is one of the most important sensors onboard the Terra and Aqua satellites and can be used in observing the air, the sea and the land quickly, timely and multi-temporally, which makes it an attractive and powerful tool for ecosystem pattern and process study. Carnegie-Ames-Stanford Approach (CASA) model is one of the most quick, convenient and accurate models to estimate the NPP (Net Primary Productivity) of vegetation. In this paper, the estimation and analysis of spatial and temporal distribution of vegetation NPP of the Haihe River Basin, the most man-interfered area in China, was made by using the CASA model based on the data of MODIS sensor onboard on the Terra satellites from the beginning of 2000 (the first year of delivering data) to the end of 2006. The result shows that the total NPP of the study area ranged from 1.25 × 10¹⁴ to 1.54 × 10¹⁴ gC/a during 2000 to 2006. The crop yields measured in the study area and the NPP value of the agriculture area from the CASA model were compared for testing the model's applicability in this study. The testing result shows that the NPP forecasted by using MODIS data and CASA model is acceptable. The NPP of the study area in all the years accumulated mainly from May to September, in which the maximum NPP appears in July and in August. The average NPP of the seven years of the main four vegetation types varied differently: values of two ripe crops a year or three ripe crops two years (519 gC/m²•a) > value of temperate deciduous shrub (428 gC/m²•a) > value of crop of one ripe a year and value of cold tolerating economic crop (293 gC/m²•a) > value of temperate grassland (195 gC/m²•a). From the results of the time series, it shows that the NPP varied irregularly with the time, but the NPP of all vegetation types in 2001 is lower than those in any other years. It relates to the drought climate in 2000 and 2001.

Citation Download Citation

Lin Wang, Hong Gan, Caiping Zhou, Haitao Zhang, Chao Lin, and Qilin Zhu "Vegetation NPP distribution based on MODIS data and CASA model: a case study in the Haihe River Basin, China", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66250X (19 February 2008); https://doi.org/10.1117/12.790868

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE