Remote Sensing has been widely used over the last decades by the rapid technological development of multispectral imaging sensors, in addition to innovative technological concepts for the development of models and methods that can explore and evaluate new forms of spatial data acquisition. In this context, this work aims to investigate LiDAR data integrated with CBERS-4 multispectral orbital images for the evaluation of a new index based on environmental parameters. To this end, the integrated use of LiDAR data on CBERS-4 images using altitude slicing with the physical indices NDVI, NDWI and NDBI and the development of a new index for better enforcement of environmental legislation were analyzed. As a result, the accuracy of the supervised land use and land cover classification by Kappa coefficient pointed (Good Quality), and the Global Accuracy index indicated 100% separability of targets for the images of the periods August 29th, 2019 and January 22th, 2015. In the development of the new environmental index, the mathematical formula based on the physical indices NDVI and NDBI, by the trial and error criterion of interval between -1 to +1 that met the needs of integration was the value zero (0), in logarithmic scale log10. As a conclusion, the results confirm that it is possible, using altitude slicing with the physical indices NDVI and NDBI to analyze the integrated use of 3D LiDAR data on CBERS-4 orbital multispectral images to create a new physical environmental index.