Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data-Reference-Cited by-同舟云学术

Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data

Published:2014-08-18 Issue:16 Volume:35 Page:6076-6088
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Li Qiangzi¹,Cao Xin¹,Jia Kun²,Zhang Miao¹,Dong Qinghan³

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

2. College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China

3. Vlaamse Instelling voor Technologisch Onderzoek (VITO), Expertisecentrum voor teledetectie (TAP), B-2400 Antwerp, Belgium

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2014.943325

Reference34 articles.

1. Landsat classification of Argentina summer crops

2. Crop classification possibilities with radar in ERS-1 and JERS-1 configuration

3. A Coefficient of Agreement for Nominal Scales

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