Land cover dynamic change in the Napahai Basin using the optimized random forest model-Reference-Cited by-同舟云学术

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Land cover dynamic change in the Napahai Basin using the optimized random forest model

Published:2019-11-22 Issue:04 Volume:13 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Bai Chunyu¹,He Hongming¹,Li Yu²,He Wenming³,Zhao Hongfei¹,Mokhtar Ali¹,Keo Soksamnang¹,Zhang Chuangjuan¹,Ma Yue¹,He Qilin⁴

Affiliation:

1. Northwest Agriculture and Forestry University, Institute of Soil and Water Conservation, State Key L

2. Institute of Geographic Sciences and Natural Resources, Chinese Academy of Sciences

3. Jiaying University, School of Chemistry and Environment, Meizhou, Guangdong

4. Chinese Academy of Sciences and Ministry of Water Resources, Institute of Soil and Water Conservatio

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference67 articles.

1. Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers

2. A survey of image classification methods and techniques for improving classification performance

3. Segmentation and object-oriented classification of wetlands in a karst Florida landscape using multi-season Landsat-7 ETM+ imagery

4. Landsat Large-Area Estimates for Land Cover

5. Analysis of wavelet packet and statistical textures for object-oriented classification of forest-agriculture ecotones using SPOT 5 imagery

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mapping urban land dynamics by automatic generation of ground samples from Globeland30 and random forest classification on the Google Earth Engine†;Journal of Applied Remote Sensing;2022-08-26

2. Assessing Vegetation Dynamics and Landscape Ecological Risk on the Mainstream of Tarim River, China;Water;2020-07-30

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