Environmental rehabilitation is initiated through water and soil conservation measures to reduce desertification. The rehabilitation process provides insights for people to construct living environments and eco-friendly habitats. However, the reverse desertification process requires analytical and stable rehabilitation processes that achieve green ecosystems. This article introduces a Rehabilitation Measure Longevity Assessment Model (RM-LAM) for predicting the measure's sustainability. In this assessment, the significance of water and soil and their conservation methods are analyzed for vegetation and living abilities through the ages. The positive feedback and the rehabilitation measure outputs are independently validated using intelligent fuzzy decisions. The objective is described as the living friendly environment with cultivation cultivation-facilitated ambiance. Toward this objective, the above independent features are analyzed using relationship constraints. Based on the decision outputs between distinct factor assessments, the desertification reverse process is analyzed. Such analysis is used for recommending ambient living through the conservation methods pursued.