Most of the research work in the solar potential analysis is performed utilizing aerial imagery, LiDAR data, and satellite imagery. However, in the existing studies using satellite data, parameters such as trees/ vegetation shadow, adjacent higher architectural structures, and eccentric roof structures in urban areas were not considered, and relatively coarser-resolution datasets were used for analysis. In this work, we have implemented a novel approach to estimate rooftop solar potential using inputs of high-resolution satellite imagery (0.5 cm), a digital elevation model (1m), along with ground station radiation data. Solar radiation analysis is performed using the diffusion proportion and transmissivity ratio derived from the ground station data hosted by IMD. It was observed that due to seasonal variations, environmental effects and technical reasons such as solar panel structure etc., there can be a significant loss of electricity generation up to 50%. Based on the results, it is also understood that using 1m DEM and 50cm satellite imagery, more authentic results are produced over the urban areas.

翻译：当前太阳能潜力分析领域的研究工作主要利用航空影像、激光雷达数据及卫星影像开展。然而，现有基于卫星数据的研究未能充分考虑城市区域中树木/植被阴影、邻近高层建筑结构及不规则屋顶结构等参数，且多采用分辨率相对较低的数据集进行分析。本研究提出一种创新方法，通过融合高分辨率卫星影像（0.5厘米）、数字高程模型（1米）及地面站点辐射数据来估算屋顶太阳能潜力。太阳辐射分析采用印度气象部门地面站点数据推导的扩散比例与透射率比值进行计算。研究发现，受季节变化、环境影响及太阳能电池板结构等技术因素制约，发电量可能产生高达50%的显著损耗。结果表明，采用1米分辨率数字高程模型与50厘米分辨率卫星影像能够在城市区域获得更精确的分析结果。