AUTHOR=Saah David , Tenneson Karis , Matin Mir , Uddin Kabir , Cutter Peter , Poortinga Ate , Nguyen Quyen H. , Patterson Matthew , Johnson Gary , Markert Kel , Flores Africa , Anderson Eric , Weigel Amanda , Ellenberg Walter L. , Bhargava Radhika , Aekakkararungroj Aekkapol , Bhandari Biplov , Khanal Nishanta , Housman Ian W. , Potapov Peter , Tyukavina Alexandra , Maus Paul , Ganz David , Clinton Nicholas , Chishtie Farrukh TITLE=Land Cover Mapping in Data Scarce Environments: Challenges and Opportunities JOURNAL=Frontiers in Environmental Science VOLUME=7 YEAR=2019 URL=https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2019.00150 DOI=10.3389/fenvs.2019.00150 ISSN=2296-665X ABSTRACT=

Land cover maps are a critical component to make informed policy, development, planning, and resource management decisions. However, technical, capacity, and institutional challenges inhibit the creation of consistent and relevant land cover maps for use in developing regions. Many developing regions lack coordinated capacity, infrastructure, and technologies to produce a robust land cover monitoring system that meets land management needs. Local capacity may be replaced by external consultants or methods which lack long-term sustainability. In this study, we characterize and respond to the key land cover mapping gaps and challenges encountered in the Lower Mekong (LMR) and Hindu Kush-Himalaya (HKH) region through a needs assessment exercise and a collaborative system design. Needs were assessed using multiple approaches, including focus groups, user engagement workshops, and online surveys. Efforts to understand existing limitations and stakeholder needs resulted in a co-developed and modular land cover monitoring system which utilizes state-of-the-art cloud computing and machine learning which leverages freely available Earth observations. This approach meets the needs of diverse actors and is a model for transnational cooperation.