华南农业大学学报
華南農業大學學報
화남농업대학학보
JOURNAL OF SOUTH CHINA AGRICULTURAL UNIVERSITY
2015年
1期
106-112
,共7页
遥感数据%植被%归一化植被指数(NDVI)%线性回归%韩江流域
遙感數據%植被%歸一化植被指數(NDVI)%線性迴歸%韓江流域
요감수거%식피%귀일화식피지수(NDVI)%선성회귀%한강류역
remote sensing datum%vegetation cover%normalized difference of vegetation index(NDVI)%linear regression%Hanjiang River bsain
目的寻找最能真实反映南方地区植被变化状况的遥感数据,并将其用于评价土地覆被变化及其带来的影响.方法通过分析韩江流域2001—2006年间AVHRR、SPOT-VGT和MODIS 3种归一化植被指数( NDVI)遥感数据,比较它们对不同植被响应特征的异同,并采用线性回归方法分析它们的相关关系.结果和结论3种NDVI遥感空间分布总体格局大体一致,且MODIS和SPOT-VGT的NDVI空间分布吻合良好.MODIS传感器波段宽度窄、空间分辨率高,对地物分辨能力高,NDVI在流域内的变化范围大,数值分布分散.3种NDVI的季节变化步调基本一致,幅度相当.MODIS NDVI最能精确反映地面植被覆盖的变化,而AVHRR NDVI反映的流域地面植被变化情况与实际不相符.3种NDVI反映的各种植被季节变化情况基本一致,MODIS NDVI与SPOT-VGT NDVI的相似度更高. MODIS NDVI能够明显区分农作物、郁闭灌木林和草地的季节变化与其他植被的不同,比SPOT-VGT NDVI 和AVHRR NDVI能更好地反映地面植被的多样性和植被覆盖的变化.在全流域和各种植被类型上,3种NDVI两两间都表现出一定的线性关系,其中MODIS NDVI与SPOT-VGT NDVI间的线性关系最强.由MODIS NDVI与AVHRR NDVI的线性回归关系预测的韩江流域2000年的NDVI与实测值吻合良好,为MODIS NDVI时间序列向历史年份拓展提供了思路.
目的尋找最能真實反映南方地區植被變化狀況的遙感數據,併將其用于評價土地覆被變化及其帶來的影響.方法通過分析韓江流域2001—2006年間AVHRR、SPOT-VGT和MODIS 3種歸一化植被指數( NDVI)遙感數據,比較它們對不同植被響應特徵的異同,併採用線性迴歸方法分析它們的相關關繫.結果和結論3種NDVI遙感空間分佈總體格跼大體一緻,且MODIS和SPOT-VGT的NDVI空間分佈吻閤良好.MODIS傳感器波段寬度窄、空間分辨率高,對地物分辨能力高,NDVI在流域內的變化範圍大,數值分佈分散.3種NDVI的季節變化步調基本一緻,幅度相噹.MODIS NDVI最能精確反映地麵植被覆蓋的變化,而AVHRR NDVI反映的流域地麵植被變化情況與實際不相符.3種NDVI反映的各種植被季節變化情況基本一緻,MODIS NDVI與SPOT-VGT NDVI的相似度更高. MODIS NDVI能夠明顯區分農作物、鬱閉灌木林和草地的季節變化與其他植被的不同,比SPOT-VGT NDVI 和AVHRR NDVI能更好地反映地麵植被的多樣性和植被覆蓋的變化.在全流域和各種植被類型上,3種NDVI兩兩間都錶現齣一定的線性關繫,其中MODIS NDVI與SPOT-VGT NDVI間的線性關繫最彊.由MODIS NDVI與AVHRR NDVI的線性迴歸關繫預測的韓江流域2000年的NDVI與實測值吻閤良好,為MODIS NDVI時間序列嚮歷史年份拓展提供瞭思路.
목적심조최능진실반영남방지구식피변화상황적요감수거,병장기용우평개토지복피변화급기대래적영향.방법통과분석한강류역2001—2006년간AVHRR、SPOT-VGT화MODIS 3충귀일화식피지수( NDVI)요감수거,비교타문대불동식피향응특정적이동,병채용선성회귀방법분석타문적상관관계.결과화결론3충NDVI요감공간분포총체격국대체일치,차MODIS화SPOT-VGT적NDVI공간분포문합량호.MODIS전감기파단관도착、공간분변솔고,대지물분변능력고,NDVI재류역내적변화범위대,수치분포분산.3충NDVI적계절변화보조기본일치,폭도상당.MODIS NDVI최능정학반영지면식피복개적변화,이AVHRR NDVI반영적류역지면식피변화정황여실제불상부.3충NDVI반영적각충식피계절변화정황기본일치,MODIS NDVI여SPOT-VGT NDVI적상사도경고. MODIS NDVI능구명현구분농작물、욱폐관목림화초지적계절변화여기타식피적불동,비SPOT-VGT NDVI 화AVHRR NDVI능경호지반영지면식피적다양성화식피복개적변화.재전류역화각충식피류형상,3충NDVI량량간도표현출일정적선성관계,기중MODIS NDVI여SPOT-VGT NDVI간적선성관계최강.유MODIS NDVI여AVHRR NDVI적선성회귀관계예측적한강류역2000년적NDVI여실측치문합량호,위MODIS NDVI시간서렬향역사년빈탁전제공료사로.
[Objective]To select an optimum time series in remote sensing data for evaluating land cover changes and their impacts on southern China .[Method] Three types of remote sensing NDVI data from AVHRR, SPOT-VGT and MODIS were analysed to compare their similarities and differences in different vegetation types over Hanjiang River basin from 2001 to 2006, and their correlations were analysed using linear regression method .[Result and conclusion] These data had generally similar distribution patterns in space .MODIS and SPOT-VGT NDVI matched well .MODIS could recognize objects more clearly on the earth surface due to its spectrally narrow sensors with high spatial resolution .In MODIS NDVI , val-ues varied within a wide range , therefore more vegetation types could be detected .Three types of NDVI changed seasonally similar to the same amplitude .MODIS NDVI reflected vegetations seasonally change more accurately.In AVHRR NDVI, some vegetation types change did not match with the actual situa-tion.Although different vegetation types seasonally changed in the same way in three types of NDVI , changes in a more temporally identical pace could be found in MODIS NDVI and SPOT-VGT NDVI com-pared with AVHRR NDVI .MODIS NDVI could distinguish seasonal changes of croplands , closed shrub-lands and savannas from other vegetation types .It showed that MODIS NDVI had a higher resolution on reflecting vegetation types and their development compared to SPOT-VGT NDVI and AVHRR NDVI . Throughout the whole basin and on a variety of vegetation types , there were some linear relationships a-mong three NDVIs, while the linear relationship between MODIS NDVI and SPOT-VGT NDVI was the strongest .Based on the linear regression of MODIS NDVI and AVHRR NDVI , MODIS NDVI was esti-mated accurately consistent with the measured values of NDVI of Hanjiang River basin in 2000.MODIS NDVI time series can provide developing ideas of the historical years .