Two-axis Soil-adjusted Vegetation Index (TWVI) and Its Application in Remote Sensing Prediction of Rice Production in South China
二轴土壤背景纠正的植被指数及其在华南水稻遥感估产中的应用

Various kinds of vegetation index have been proposed to minimize soil background influences based on the existence of "soil line" for forest monitoring and crop production prediction. They can only minimize soil moisture inf luen ces on remote sensing data along one axis, "soil line", which fail when different soil types appear (in the direction perpendicular to "soil line"). A twoaxis soil-ajusted vegetation index is presented here to diminish most soil background influences, and it is more suitable as a global monitoring vegetation index than other index. TWVI model has been applied successful in rice production prediction in South China.