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.

本研究针对现有太阳能潜力分析中未考虑城市环境因素（如树木阴影、高建筑结构和屋顶结构）的不足，运用高分辨率卫星影像及数字高程模型，结合地面辐射数据，提出了新的屋顶太阳能潜力评估方法。研究表明，季节变化和环境影响可能导致电力生成损失可达50%，而使用1米的DEM与0.5厘米的卫星影像，能在城市区域产生更准确的分析结果。

利用高分辨率卫星影像和数字高程模型对印度城市太阳能潜力的分析