Artikel mit Open-Access-Mandaten - Zhuang-Fang (NaNa) YiWeitere Informationen
Verfügbar: 9
Pushing the Limits: The Pattern and Dynamics of Rubber Monoculture Expansion in Xishuangbanna, SW China
Huafang Chen, Zhuang-Fang Yi, Dietrich Schmidt-Vogt, Antje Ahrends, Philip ...
Plos One, 2016
Mandate: CGIAR
Accounting for training data error in machine learning applied to earth observations
A Elmes, H Alemohammad, R Avery, K Caylor, JR Eastman, L Fishgold, ...
Remote Sensing 12 (6), 1034, 2020
Mandate: US National Science Foundation, US Department of Energy, US National …
Farm types and farmer motivations to adapt: Implications for design of sustainable agricultural interventions in the rubber plantations of South West China
J Hammond, MT van Wijk, A Smajgl, J Ward, T Pagella, J Xu, Y Su, Z Yi, ...
Agricultural Systems 154, 1-12, 2017
Mandate: CGIAR
Can carbon-trading schemes help to protect China's most diverse forest ecosystems? A case study from Xishuangbanna, Yunnan
ZF Yi, G Wong, CH Cannon, J Xu, P Beckschäfer, RD Swetnam
Land use policy 38, 646-656, 2014
Mandate: Chinese Academy of Sciences, CGIAR
Xishuangbanna autonomous dai prefecture Yunnan, China
J Hammond, Z Yi, T McLellan, J Zhao
(ICRAF Working Paper No. 194), 2015
Mandate: CGIAR
Scaling green rubber cultivation in Southwest China—An integrative analysis of stakeholder perspectives
S Wigboldus, J Hammond, J Xu, ZF Yi, J He, L Klerkx, C Leeuwis
Science of the total environment 580, 1475-1482, 2017
Mandate: CGIAR
Mapping Opuntia stricta in the Arid and Semi-Arid Environment of Kenya Using Sentinel-2 Imagery and Ensemble Machine Learning Classifiers
JM Muthoka, EE Salakpi, E Ouko, ZF Yi, AS Antonarakis, P Rowhani
Remote Sensing 13 (8), 1494, 2021
Mandate: UK Natural Environment Research Council
A mixed application of geographically weighted regression and unsupervised classification for analyzing latex yield variability in Yunnan, China
OS Kim, JB Nugent, ZF Yi, JP Newell, AJ Curtis
Forests 8 (5), 162, 2017
Mandate: US National Institutes of Health, Chinese Academy of Sciences, National …
Advancing Application of Machine Learning Tools for NASA’s Earth Observation Data
L Estes, P Gentine, D Lunga
the NASA Workshop report; https://www. earthdata. nasa. gov/s3fs-public …, 2020
Mandate: US National Aeronautics and Space Administration
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