遥感学报
遙感學報
요감학보
JOURNAL OF REMOTE SENSING
2009年
6期
1106-1121
,共16页
陈君颖%田庆久%亓雪勇%刘晓臣%管仲
陳君穎%田慶久%亓雪勇%劉曉臣%管仲
진군영%전경구%기설용%류효신%관중
高光谱遥感%水稻%Hyperion%氮%叶绿素
高光譜遙感%水稻%Hyperion%氮%葉綠素
고광보요감%수도%Hyperion%담%협록소
hyperspectrai remote sensing%rice%Hyperion%nitrogen%chlorophyll
采用小区实验与大田应用相结合的方法,依据扬州实验小区地面实测拔节期、抽穗期及灌浆期的水稻叶片、冠层光谱及氮和叶绿素含量,采用光谱吸收特征和植被指数分析方法,得到估算水稻氮和叶绿素含量的最佳光谱特征参数;结合覆盖江苏姜堰地区大田的Hyperion高光谱遥感影像,建立反演水稻冠层氮和叶绿素含量的模型,对研究区大田水稻冠层氮和叶绿素含量进行了反演及制图.结果表明:经波深中心归一化方法分析,发现以670nm为中心的光谱吸收特征面积与水稻氮含量呈显著相关性;基于反转归一化光谱,结合 560nm和670nm两个波段,建立的植被指数NDVI560_670能很好地反演水稻叶绿素含量.
採用小區實驗與大田應用相結閤的方法,依據颺州實驗小區地麵實測拔節期、抽穗期及灌漿期的水稻葉片、冠層光譜及氮和葉綠素含量,採用光譜吸收特徵和植被指數分析方法,得到估算水稻氮和葉綠素含量的最佳光譜特徵參數;結閤覆蓋江囌薑堰地區大田的Hyperion高光譜遙感影像,建立反縯水稻冠層氮和葉綠素含量的模型,對研究區大田水稻冠層氮和葉綠素含量進行瞭反縯及製圖.結果錶明:經波深中心歸一化方法分析,髮現以670nm為中心的光譜吸收特徵麵積與水稻氮含量呈顯著相關性;基于反轉歸一化光譜,結閤 560nm和670nm兩箇波段,建立的植被指數NDVI560_670能很好地反縯水稻葉綠素含量.
채용소구실험여대전응용상결합적방법,의거양주실험소구지면실측발절기、추수기급관장기적수도협편、관층광보급담화협록소함량,채용광보흡수특정화식피지수분석방법,득도고산수도담화협록소함량적최가광보특정삼수;결합복개강소강언지구대전적Hyperion고광보요감영상,건립반연수도관층담화협록소함량적모형,대연구구대전수도관층담화협록소함량진행료반연급제도.결과표명:경파심중심귀일화방법분석,발현이670nm위중심적광보흡수특정면적여수도담함량정현저상관성;기우반전귀일화광보,결합 560nm화670nm량개파단,건립적식피지수NDVI560_670능흔호지반연수도협록소함량.
The method of plot experiment with field application was used in this research. The variations of rice foliage and canopy spectra with corresponding biochemical concentration field-measured in jointing, heading and filling stages were analyzed. Through the analysis of absorption characteristic and vegetation index, the best spectral features for rice nitrogen and chlorophyll concentration estimation were obtained. Based on the Hyperion image of Jiangyan, we built the models of rice canopy nitrogen and chlorophyll estimation. At last, rice canopy nitrogen and chlorophyll concentration were retrieved from Hyperion image and their distribution maps were obtained. The results showed that: (1) Nitrogen concentration can be retrieved accurately using the area of absorption feature centered at 670nm based on band depth normalized to band depth (BNC) analysis; (2) Based on reversional normalized spectrum, NDVI using 560nm and 670nm was strongly correlated with chlorophyll concentration.