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Zhuang-Fang (NaNa) Yi
Zhuang-Fang (NaNa) Yi
GeoAI/Machine Learning Lead @ Development Seed
Bestätigte E-Mail-Adresse bei developmentseed.org - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Developing indicators of economic value and biodiversity loss for rubber plantations in Xishuangbanna, southwest China: A case study from Menglun township
ZF Yi, CH Cannon, J Chen, CX Ye, RD Swetnam
Ecological Indicators 36, 788-797, 2014
1572014
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
1322016
Developing a spatially-explicit, sustainable and risk-based insurance scheme to mitigate human–wildlife conflict
S Chen, ZF Yi, A Campos-Arceiz, MY Chen, EL Webb
Biological conservation 168, 31-39, 2013
1012013
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
982020
Assessing the effectiveness of payments for ecosystem services for diversifying rubber in Yunnan, China
Alex Smajgla, Jianchu Xu, Stephen Egan, Zhuang-Fang Yi, John Ward, Yufang Su
Environmental Modelling & Software 69, 187–195, 2015
642015
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
602017
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
582014
Changing Perceptions of Forest Value and Attitudes toward Management of a Recently Established Nature Reserve: A Case Study in Southwest China
H Yang, R Harrison, ZF Yi, E Goodale, MX Zhao, JC Xu
Forests 6 (9), 3136-3164, 2015
532015
Xishuangbanna autonomous dai prefecture Yunnan, China
J Hammond, Z Yi, T McLellan, J Zhao
(ICRAF Working Paper No. 194), 2015
412015
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
322017
Making a green rubber stamp: emerging dynamics of natural rubber eco-certification
SF Kennedy, B Leimona, ZF Yi
International Journal of Biodiversity Science, Ecosystem Services …, 2017
272017
A Yin‐Yang approach to education policy regarding health and the environment: early‐careerists' image of the future and priority programmes
P Watts, B Custer, ZF Yi, E Ontiri, M Pajaro
Natural Resources Forum 39 (3-4), 202-213, 2015
212015
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
202021
Automated school location mapping at scale from satellite imagery based on deep learning
I Maduako, Z Yi, N Zurutuza, S Arora, C Fabian, DH Kim
Remote Sensing 14 (4), 897, 2022
102022
Socially Constructed Rubber Plantations: In the swidden landscape of southwest China
J Xu, Z Yi
Shifting Cultivation and Environmental Change, 794-810, 2015
72015
News from the IAEH
B Custer, B Koné, E Kouassi, E Ontiri, P Watts, ZF Yi
EcoHealth 11, 286-289, 2014
72014
Towards equitable access to information and opportunity for all: mapping schools with high-resolution Satellite Imagery and Machine Learning
Z Yi, N Zurutuza, D Bollinger, M Garcia-Herranz, D Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
62019
AI Mapping Risks to Wildlife in Tanzania: Rapid scanning aerial images to flag the changing frontier of human-wildlife proximity
ZF Yi, H Frederick, RL Mendoza, R Avery, L Goodman
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 5299 …, 2021
52021
Accounting for training data error in machine learning applied to Earth observations, Remote Sens., 12, 1034
A Elmes, H Alemohammad, R Avery, K Caylor, JR Eastman, L Fishgold, ...
52020
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
52017
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