In　this　study,　the　root　sources　contributing　to　the　urban　heat　island　(UHI)　effect　between　megacities,　such　as　Hong　Kong　and　Shenzhen,　were　integrated　and　compared　using　satellite　remote　sensing　data.　Classification　and　multilayer　perceptron　regression　tree　(CARTMLP)　algorithms　were　used　to　classify　land　use.　The　radiative　transfer　equation　method　was　applied　to　retrieve　the　land　surface　temperatures　(LSTs)　in　the　study　area.　Multiple　linear　regression　analysis　was　applied　to　determine　the　relationship　between　land-use　types　and　UHIs.　The　experimental　results　show　a　large　area　of　relatively　high　temperature　dispersed　within　Shenzhen,　and　comparatively　small　areas　highly　centralized　in　Hong　Kong,　with　the　retrieved　LST　in　Hong　Kong　lower　than　that　in　Shenzhen.　In　addition,　the　surface　temperature　of　large　complex　buildings　decorated　with　high-albedo　materials　in　Hong　Kong　was　higher　than　in　Shenzhen　(e.g.,　Hong　Kong　International　Airport,　25.12　degrees　C;　Shenzhen　Bao＇an　International　Airport,　23.38　degrees　C),　with　artificial　heat　being　an　important　contributor　to　these　differences.　These　results　also　imply　that　high-albedo　materials　are　sufficient　to　alleviate　high　temperatures.　These　findings　are　integrated　to　propose　an　organic　combination　strategy　for　reducing　UHI　effects　in　urban　areas　in　megacities　worldwide,　such　as　Hong　Kong　and　Shenzhen　in　China.