This project aimed to (1) map premium rate of weather-hydrological index rice crop insurance by using geo-informatics technologies, (2) study opinions among stakeholders on rice crop insurance system, and (3) propose the appropriate models of weather-index rice crop insurance and adaptation fund anticipated to support the policy-making on aiding farmers from disaster suffering. The project was carried out in Kamphaengphet province, located in the lower north of Thailand. This province is an important area of rice cultivation and an annually encounter natural disaster. The integrity approaches using scientific, technological, and social methods were used. The results showed that the premium rates varied spatially according to probability variation of the weather-hydrological indices and geographical based disaster risk. This study proposed the WR-WR-RD as an index for drought insurance and proposed the EO-EN-WB-RF as an index for flood insurance. For indemnity rate at 1,577 Baht/rai, premium rate ranges spatially from 309 to 594 Baht/rai (average 503 Baht/rai) for drought insurance and 433 to 1,100 Baht/rai (average 757 Baht/rai) for flood insurance. From interviewing the local farmers, 75.3 % and 83.8% of total farmers had strong interest in buying index-based rice insurance and participating adaptation fund, respectively. Farmers expected to earn partial monetary support from the Government for insurance-adaptation fund generated. Farmers were willing to buy insurance at 25- 50% of their total cultivating land and to pay insurance rate at maximum 150 Baht/rai. To buy insurance, farmers want to have options to choose insured contract coverage period rather than insured rate. Farmers were more interested to buy rice insurance if they can get benefit from the Government’s aid programs, especially in rice pawn and reduction of loan interest. In farmer’s opinion, BAAC should play the major role for this insurance, especially in consultancy, co-operation, and operation. The data gained from spatial analysis in GIS and interviewing from the stakeholders were finally synthesized to propose the models of index-based rice crop insurance and adaptation fund. The results from this phase will be further implemented in the next phase as an operational research regarding running a pilot project of index-based rice insurance in Kampheangphet province.