Evaluating　Ecological　Environment　Quality　(EEQ)　is　crucial　for　sustainable　development,　particularly　in　arid　and　semi-arid　regions　with　particular　environmental　and　socioeconomic　characteristics.　This　study　introduces　a　Particular　Remote　Sensing　Ecological　Index　(PRSEI),　incorporating　the　Sand　Index　(SI)　and　Turbidity　Index　(TI)　based　on　the　traditional　Remote　Sensing　Ecological　Index　(RSEI),　to　better　reflect　the　EEQ　in　the　Beijing-Tianjin　Sand　Source　Region　(BTSSR)　from　2000　to　2020.　The　Theil-Sen　median,　Mann–Kendall　test,　and　Hurst　index　were　applied　to　explore　the　trend　of　PRSEI,　and　the　optimal　parameters-based　geographical　detector　model　evaluated　the　impact　of　influencing　factors　and　their　interactions.　The　results　in　this　study　indicate　that　(1)　PRSEI　and　RSEI　demonstrated　high　consistency　(R2　=　0.972),　with　PRSEI　outperforming　RSEI　in　capturing　regional　ecological　differences.　(2)　The　EEQ　of　BTSSR　was　significantly　improved　during　the　study　period,　and　PRSEI　showed　a　strong　uptrend　in　most　areas,　61.771%　of　the　areas　were　strongly　improved,　26.154%　were　light　improved,　and　11.821%　were　seriously　degraded.　The　future　development　trend　is　mainly　based　on　the　“Up-Up”　model,　which　indicates　that　the　EEQ　of　BTSSR　is　generally　improved.　The　mean　q-value　for　the　single-factor　detection　was　0.382,　while　for　the　interactive　detection,　it　was　0.612,　highlighting　the　significant　role　of　factors’　interaction　in　PRSEI　variation.　In　general,　this　study　serves　as　a　scientific　foundation　for　advancing　ecological　conservation　and　fostering　sustainable　socio-economic　development　in　arid　and　semi-arid　regions,　offering　critical　insights　to　support　targeted　strategies　and　informed　decision-making.　©　2025　Wuhan　University.　Published　by　Informa　UK　Limited,　trading　as　Taylor　&　Francis　Group.