A novel approach to assess food security and natural capital using cloud-based remote sensing and machine learning: a case study of Nghe An and Thanh Hoa Vietnam.

    flowchart
    W[2018AGUFMGC23C..05S]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (3)"]
    W== author ==>LA
    W== affil ==>LI
    click LA "#linked-authors"
    click LI "#linked-institutions"
Graph neighborhood for 'A novel approach to assess food security and natural capital using cloud-based remote sensing and machine learning: a case study of Nghe An and Thanh Hoa Vietnam.'. Click aggregate nodes to navigate.
ADS bibcode
2018AGUFMGC23C..05S
year
2018
Listed Authors
Saah, D.
Ate, P.
Quyen, N. H.
Pham, T. H.
Chishtie, F.
Tenneson, K.
Markert, K.
Tran, K.
Clinton, N.
Listed Institutions
Environmental Science, University of San Francisco, San Francisco, CA, United States
Spatial Informatics Group, LLC, Alameda, CA, United States
Asian Disaster Preparedness Center, Bangkok, Thailand
Forestry, Nong Lam University, HoChiMinhCity, Vietnam
SERVIR-Mekong, Bangkok, Thailand
RSAC, USDA Forest Service, Fort Collins, CO, United States
Researcher, Huntsville, United States
Disaster Management Policy and Technology Center, Ministry of Agriculture and Rural Development of Vietnam, Hanoi, Vietnam
Google Inc., Mountain View, CA, United States

Linked Authors [?]

Linked Institutions