This study developed 1-km resolution wind resource maps over Thailand at various heights above the ground (including 100 m) and also GIS-based area-selection maps for wind turbine installations. The development spanned three years, from 2007 to 2009, and aims to offer more updated and reliable wind resource information to the public in support of wind energy development for electricity generation (available in the Internet at http://complabbkt.jgsee.kmutt.ac.th/wind_proj). The wind resource maps were generated using an advanced state-of-science atmospheric modeling technique called combined mesoscale-microscale modeling, which is generally suitable for large-area mapping while still capable of producing fine-resolution spatial details. The mesoscale and microscale models adopted for use here are MM5 and CALMET, respectively, each of which is open-source, publicly available, non-commercial, and widely used for various meteorological applications. Wind speed results from modeling were compared against observed wind data obtained from a total of 31 wind monitoring towers, showing that the overall wind-speed prediction performance is acceptable but the modeling tends to give overestimates. It was found that many areas across Thailand have a significant wind resource. Such areas (on an annual average basis at 100 m) are 1. The lower part of Chiang Mai province, 2. Mountainous areas in the Western region, 3. Boundaries (and their vicinities) between the Central and Northeastern regions and between the Eastern and Northeastern regions, 4. Coastal areas in the Central and Eastern regions, 5. Coastal areas in the Southern region along the Gulf of Thailand (from Prachuap Khiri Khan province to Songkhla province), and 6. Coastal areas in the Southern region along the Indian Ocean (from Ranong province to Satun province). In development of the GIS-based area-selection maps, emphasis was given to installations of medium-to-large wind turbines. Based on reviews of current domestic laws and related technical documents, and also solicitation of selected local wind energy and environmental experts| opinions on possible constraints for wind turbine installations, a total of 21 exclusion criteria were designated and categorized into three constraint groups (environmental, buildings and infrastructure, and geographical). Their corresponding exclusion levels (stringent, highly sensitive, or sensitive) and buffer distances were also suggested, and corresponding spatial layers (with buffer areas included) were prepared. These spatial layers can directly aid wind energy developers in examining the feasibility of an area of interest for wind turbine installations or support policy makers to perform overall wind energy potential analysis in a more integrative manner over a particular area or over Thailand. When the 100-m annual average wind resource map is overlayed by all spatial layers with the stringent exclusion level, the total amount of areas with a significant wind resource that are also feasible for wind turbine installations is reduced considerably. Nevertheless, many such areas still exist and are scattered across Thailand (mostly, in small local patches), e.g., the lower part of Chiang Mai province, central-towestern part of Tak province, northern and central parts of Kanchanaburi province, west of Ratchaburi province, north of Phetchabun province, central and southern parts of Chaiyaphum province, west of Nakhon Ratchasima province, central part of Lop Buri province, south of Buri Ram province, and many coastal parts along the Gulf of Thailand and the Indian Ocean.