Check and modification of GlobeLand30 with MODIS NDVI

Weiwei Zhang; Anping Liao; Shu Peng; Xinyan Zheng; Ming Li

doi:10.1117/12.2197830

8 October 2015 Check and modification of GlobeLand30 with MODIS NDVI

Weiwei Zhang, Anping Liao, Shu Peng, Xinyan Zheng, Ming Li

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96750O (2015) https://doi.org/10.1117/12.2197830
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

MODIS NDVI time-series data could indicate vegetation status in each season and have been widely used for land cover classification and studies in the fields of vegetation and land degradation monitoring. During global land cover mapping project at 30m resolution aiming at developing high quality product, there were mistakes of classification between bareland and vegetation in GlobeLand30 data in regions surrounding deserts because that the dates of some images are not in growing season. In this paper, we proposed a method to check GlobeLand30 data of 2010 in these areas. Max NDVI value of MODIS NDVI time-series data is chosen to represent growing conditions of vegetation. And then vegetation fraction (VF) calculated from the max NDVI value is divided into bareland and vegetation based on the definition of bareland that VF of bareland is lower than 10%. The dimidiated VF maps are employed to check GlobeLand30 with the help of high resolution images and other references. Finally, errors found out by steps above are modified with VF maps and segmentation objects of images at 30m resolution. 149 map sheets of GlobeLand30 were checked and 105 of them were modified. 13409 samples in 10 map sheets totally were selected to assess the effect of the approach. The result showed that the accuracy after modification of GlobeLand30 was higher than that before modification.

Citation Download Citation

Weiwei Zhang, Anping Liao, Shu Peng, Xinyan Zheng, and Ming Li "Check and modification of GlobeLand30 with MODIS NDVI", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96750O (8 October 2015); https://doi.org/10.1117/12.2197830

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

Includes PDF, HTML & Video, when available