Automatic detection of forest fire disturbance based on dynamic modelling from MODIS time-series observations-Reference-Cited by-同舟云学术

Automatic detection of forest fire disturbance based on dynamic modelling from MODIS time-series observations

Published:2018-03-15 Issue:12 Volume:39 Page:3801-3815
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Tian Li¹,Wang Jindi¹,Zhou Hongmin¹,Wang Jian¹

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, China

Funder

National Natural Science Foundation of China

National Basic Research Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1437294

Reference22 articles.

1. Combined climate and carbon-cycle effects of large-scale deforestation

2. Offset of the potential carbon sink from boreal forestation by decreases in surface albedo