In many parts of mainland Southeast Asia rubber plantations are expanding rapidly in areas where the crop was not historically found. Monitoring and mapping the distribution of rubber trees in the region is necessary for developing a better understanding of the consequences of land-cover and land-use change on carbon and water cycles. In this study, we conducted rubber tree growth mapping in Northeast Thailand using Landsat 5 TM data. A Mahalanobis typicality method was used to identify different age rubber trees. Landsat 5 TM 30 m non-thermal reflective bands, NDVI and tasseled cap transformation components were selected as the model input metrics. The validation was carried out using provincial level agricultural statistical data on the rubber tree growth area. At regional (Northeast Thailand) and provincial scales, the estimates of mature and middle-age rubber stands produced from 30 m Landsat 5 TM data compared well (high statistical significance) with the provincial rubber tree growth statistical data.

This paper presents the design of an intelligent fire truck, which is based on the STC89C51 signal chip and realizes tracing, obstacle avoidance, alarm, putting out a fire and so on. The truck uses a model car chassis as a frame, STC89C51 as a microcontroller and including DC motor, flame detector, infrared tracing module with some other circuits. The truck has taken advantage of all the chips and the comprehensive performances in each part reasonably, and the intelligent fire truck can work very well.