The Classification of Grassland Types Based on Object-Based Image Analysis with Multisource Data-Reference-Cited by-同舟云学术

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The Classification of Grassland Types Based on Object-Based Image Analysis with Multisource Data

Published:2019-03 Issue:2 Volume:72 Page:318-326
ISSN:1550-7424
Container-title:Rangeland Ecology & Management
language:en
Short-container-title:Rangeland Ecology & Management

Author:

Xu Dawei,Chen Baorui,Shen Beibei,Wang Xu,Yan Yuchun,Xu Lijun,Xin Xiaoping

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Special Funding for Modern Agricultural Technology Systems from the Chinese Ministry of Agriculture

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Animal Science and Zoology,Ecology

Reference54 articles.

1. A quantitative assessment of forest cover change in the Moulouya river watershed (Morocco) by the integration of a subpixel-based and object-based analysis of Landsat data;Aguilar;Forests,2016

2. Modeling managed grassland biomass estimation by using multitemporal remote sensing data—a machine learning approach;Ali;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2017

3. NDVI-based long-term vegetation dynamics and its response to climatic change in the Mongolian Plateau;Bao;Remote Sensing,2014

4. Improving estimates of fractional vegetation cover based on UAV in alpine grassland on the Qinghai–Tibetan Plateau;Chen;International Journal of Remote Sensing,2016

5. Classification management for grassland using MODIS data: a case study in the Gannan region, China;Cui;International Journal of Remote Sensing,2012

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