Visual question answering (VQA) is an important and challenging multimodal task in computer vision. We bring VQA task to high-resolution aerial images and propose a large-scale dataset HRVQA based on a semi-automatically construction scheme, which covers the inferences from commonly-seen task reasoning to specific attribute recognition.