Estimation of net primary productivity of forests by modified CASA models and remotely sensed data-Reference-Cited by-同舟云学术

Estimation of net primary productivity of forests by modified CASA models and remotely sensed data

Published:2017-11-01 Issue:4 Volume:39 Page:1092-1116
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Liu Zhenhua¹,Hu Manqin¹,Hu Yueming¹,Wang Guangxing¹²

Affiliation:

1. College of Natural Resources and Environment, Guangdong Provincial Key Laboratory of Land Use and Consolidation, Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation, Guangzhou Surveying and Mapping Geographic Information Industry Engineering Technology Research Center, South China Agricultural University, Guangzhou, China

2. Department of Geography and Environmental Resources, Southern Illinois University, Carbondale, IL, USA

Funder

Guangzhou Science and Technology Program key projects

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1381352

Reference71 articles.

1. Normative productivity of the global vegetation