[1] |
ZHU Junfeng, LIU Yang, WANG Xingtian, CAO Liang.
Rapid detection of livestock targets in pastoral areas based on improved lightweight deep network.
[J]. Chinese Journal of Ecology, 2023, 42(11): 2786-2796.
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[2] |
ZHENG Di, SHEN Guo-chun, WANG Bo-jian, DAI Guan-hua, LIN Fei, HU Jia-rui, YE Ji, FANG Shuai, HAO Zhan-qing, WANG Xu-gao, YUAN Zuo-qiang.
Classification of dominant species in coniferous and broad-leaved mixed forest on Changbai Mountain based on UAV-based hyperspectral image and deep learning algorithm.
[J]. Chinese Journal of Ecology, 2022, 41(5): 1024-1032.
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[3] |
LIU Bing-yan, ZHANG Jun-hui, GENG Shi-cong, TAO Jing-jing, FENG Yue.
Estimation of N2O emission flux from heterotrophic nitrification process in global forest soils based on BP neural network model.
[J]. Chinese Journal of Ecology, 2022, 41(2): 209-217.
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[4] |
WANG Hui, WANG Bing, NIU Xiang, SONG Qing-feng, LI Ming-wen, LIANG Li-dong, DU Peng-fei, LUO Yuan-yuan, PENG Wei.
Simulation and optimization of land use pattern in scenic areas for improving ecological healthcare function.
[J]. Chinese Journal of Ecology, 2021, 40(10): 3391-3400.
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[5] |
YAN Xin-rong, ZHANG Mei-man, ZHENG Ya-xiong, YIN Zi-xu, HUANG Lan-ying, JIANG Xiao-yu, GUAN Feng-ying.
Comparison of extraction methods and the distribution characteristics of cluster bamboo forest information based on Sentinel-2.
[J]. cje, 2020, 39(3): 1056-1066.
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[6] |
DOU Pan-feng, ZUO Shu-di, REN Yin, HUANG Wei.
Construction of an index system for green cities based on urban classification.
[J]. cje, 2019, 38(6): 1937-1948.
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[7] |
ZHU Ying-ying, HAN Lei, ZHAO Yong-hua, AO Yong, LI Jun-jun, XU Kai-bo, LIU Bing, GE Yuan-yuan.
Simulation and spatio-temporal pattern of vegetation NPP in northwest China.
[J]. cje, 2019, 38(6): 1861-1871.
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[8] |
YANG Dong, ZHU Jia-min, DING Ye-yi, JIN Zhi-fen.
Responses of phenology, quality and yield of juicy peach to climate change in Zhejiang Province.
[J]. cje, 2019, 38(11): 3366-3375.
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[9] |
WANG Shi-dong, SHI Pu-jie, ZHANG He-bing, WANG Xin-chuang.
Retrieval of soil total nitrogen content in reclaimed farmland of mining area based on hyperspectral imaging.
[J]. cje, 2019, 38(1): 294-301.
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[10] |
CHAI Yan-ni, WEI Guan-jun, HOU Wei, FENG Zhi-xian, ZHAI Liang.
Multi scale eco-environmental quality evaluation method from a spatial perspective.
[J]. cje, 2018, 37(2): 596-604.
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[11] |
ZHANG Lei1,3, HUO Zhi-guo1,2**, WANG Li4, WU Li1, ZHANG Gui-xiang1.
Dynamic early warning of occurrence degree for wheat powdery mildew in Hebei.
[J]. cje, 2015, 34(9): 2489-2497.
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[12] |
LI Jiao1, ZHANG Hong1**, ZHANG Li-qiu1, HAN Jian-ping2.
Estimation of aboveground carbon density for tree forests based on remote sensing data in Yangquan of Shanxi Province, China.
[J]. cje, 2014, 33(9): 2308-2315.
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[13] |
HE Yan1, HE Hui2**, MENG Cui-li1, XIE Mao-chang3, LONG Meng-ling3, LI Yu-hong1.
Predicting occurrence degree of rice planthoppers in Guangxi Province based on BP artificial neural network method.
[J]. cje, 2014, 33(1): 159-168.
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[14] |
LIU Guang-lei1, ZHANG Hong2**, HU Guan-chen2.
Characteristics of forest landscape pattern and related affecting factors in Loufan County of Shanxi Province, China.
[J]. cje, 2013, 32(12): 3344-3350.
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[15] |
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Forest health assessment based on self-organizing map neural network: A case study in Baihe Forestry Bureau, Jilin Province.
[J]. cje, 2011, 30(06): 1295-1303.
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