国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2015年
4期
73-78
,共6页
风云3号(FY-3)%融雪性洪水%归一化差异水体指数(NDWI-B)%新疆
風雲3號(FY-3)%融雪性洪水%歸一化差異水體指數(NDWI-B)%新疆
풍운3호(FY-3)%융설성홍수%귀일화차이수체지수(NDWI-B)%신강
FY-3%snowmelt flood%normalized difference water index based on blue light ( NDWI-B)%Xinjiang
基于风云3号(FY-3)卫星中分辨率成像光谱仪(medium resolution spectral imager,MERSI)数据的归一化差异水体指数( normalized difference water index,NDWI)和基于蓝光波段的归一化差异水体指数( normalized difference water index based on blue light,NDWI-B),通过直方图分析获取了水体指数判识阈值,并对新疆北疆沿天山一带2009—2011年发生的融雪性洪水灾害天气进行了监测。对比基于环境1号卫星CCD数据的监测结果表明：利用FY-3/MERSI的250 m空间分辨率数据可实现对新疆融雪性洪水灾害的监测,其中利用FY-3/MERSI NDWI-BFY数据的判识效果最好。
基于風雲3號(FY-3)衛星中分辨率成像光譜儀(medium resolution spectral imager,MERSI)數據的歸一化差異水體指數( normalized difference water index,NDWI)和基于藍光波段的歸一化差異水體指數( normalized difference water index based on blue light,NDWI-B),通過直方圖分析穫取瞭水體指數判識閾值,併對新疆北疆沿天山一帶2009—2011年髮生的融雪性洪水災害天氣進行瞭鑑測。對比基于環境1號衛星CCD數據的鑑測結果錶明：利用FY-3/MERSI的250 m空間分辨率數據可實現對新疆融雪性洪水災害的鑑測,其中利用FY-3/MERSI NDWI-BFY數據的判識效果最好。
기우풍운3호(FY-3)위성중분변솔성상광보의(medium resolution spectral imager,MERSI)수거적귀일화차이수체지수( normalized difference water index,NDWI)화기우람광파단적귀일화차이수체지수( normalized difference water index based on blue light,NDWI-B),통과직방도분석획취료수체지수판식역치,병대신강북강연천산일대2009—2011년발생적융설성홍수재해천기진행료감측。대비기우배경1호위성CCD수거적감측결과표명：이용FY-3/MERSI적250 m공간분변솔수거가실현대신강융설성홍수재해적감측,기중이용FY-3/MERSI NDWI-BFY수거적판식효과최호。
On the basis of normalized difference water index ( NDWI) of FY-3/medium resolution spectral imager ( MERSI) and normalized difference water index based on blue light ( NDWI-B) , the authors analyzed histograms and obtained the thresholds for the recognition of water bodies with NDWI. The thresholds were utilized in the monitoring of the snowmelt flood disaster along the Tianshan Mountains in the north of Xinjiang during 2009 to 2011 . The results achieved by the authors suggest that it is feasible to monitor the snowmelt flood disaster in Xinjiang with the data both from FY -3/MERSI and from HJ -1A /CCD. The effect of using FY -3/MERSI (NDWI-BFY) data to identify large area of flood water is the best.
