遥感学报
遙感學報
요감학보
JOURNAL OF REMOTE SENSING
2010年
2期
232-251
,共20页
王剑庚%赵峰%李虎%余涛%顾行发%薛廉%叶李灶
王劍庚%趙峰%李虎%餘濤%顧行髮%薛廉%葉李竈
왕검경%조봉%리호%여도%고행발%설렴%협리조
POV-ray%CLAMP模型%四分量比例%孔隙率
POV-ray%CLAMP模型%四分量比例%孔隙率
POV-ray%CLAMP모형%사분량비례%공극솔
POV-ray%CLAMP model%four components' fractions%gap fraction
利用POV-ray快速计算三维冠层的四分量比例及孔隙率,在与计算机模拟模型对比结果、验证其可靠性的基础上,针对植被真实结构模型的主要参数对冠层四分量比例和孔隙率的敏感性进行分析.敏感性分析结果表明:当冠层为垄行结构时,相对于其他因素,行结构对四分量比例和孔隙率的影响占主导,因此当植被冠层为垄行结构时,四分量比例和孔隙率的变化较连续冠层更加复杂;集聚指数可以有效的控制叶片的空间分布模式,进而影响到视场中植被与土壤的相对面积比例,对于四分量比例和孔隙率结果有较大影响;叶倾角分布类型对四分量比例和孔隙率结果的各向异性特征影响明显;同时,通过对垄行作物3个典型生长期的四分量比例和孔隙率结果分析得出,在作物生长初期土壤对结果影响更大,在作物生长后期植被对结果的影响占主导,亮叶分量比例各向异性特征较为明显.研究表明,POV-ray是进行植被定量遥感研究的有利工具.具有较好的应用前景.
利用POV-ray快速計算三維冠層的四分量比例及孔隙率,在與計算機模擬模型對比結果、驗證其可靠性的基礎上,針對植被真實結構模型的主要參數對冠層四分量比例和孔隙率的敏感性進行分析.敏感性分析結果錶明:噹冠層為壟行結構時,相對于其他因素,行結構對四分量比例和孔隙率的影響佔主導,因此噹植被冠層為壟行結構時,四分量比例和孔隙率的變化較連續冠層更加複雜;集聚指數可以有效的控製葉片的空間分佈模式,進而影響到視場中植被與土壤的相對麵積比例,對于四分量比例和孔隙率結果有較大影響;葉傾角分佈類型對四分量比例和孔隙率結果的各嚮異性特徵影響明顯;同時,通過對壟行作物3箇典型生長期的四分量比例和孔隙率結果分析得齣,在作物生長初期土壤對結果影響更大,在作物生長後期植被對結果的影響佔主導,亮葉分量比例各嚮異性特徵較為明顯.研究錶明,POV-ray是進行植被定量遙感研究的有利工具.具有較好的應用前景.
이용POV-ray쾌속계산삼유관층적사분량비례급공극솔,재여계산궤모의모형대비결과、험증기가고성적기출상,침대식피진실결구모형적주요삼수대관층사분량비례화공극솔적민감성진행분석.민감성분석결과표명:당관층위롱행결구시,상대우기타인소,행결구대사분량비례화공극솔적영향점주도,인차당식피관층위롱행결구시,사분량비례화공극솔적변화교련속관층경가복잡;집취지수가이유효적공제협편적공간분포모식,진이영향도시장중식피여토양적상대면적비례,대우사분량비례화공극솔결과유교대영향;협경각분포류형대사분량비례화공극솔결과적각향이성특정영향명현;동시,통과대롱행작물3개전형생장기적사분량비례화공극솔결과분석득출,재작물생장초기토양대결과영향경대,재작물생장후기식피대결과적영향점주도,량협분량비례각향이성특정교위명현.연구표명,POV-ray시진행식피정량요감연구적유리공구.구유교호적응용전경.
The fractions of four components (sunlit leaves,shaded leaves,sunlit soil and shaded soil) and gap fraction are characteristic geometric parameters of canopy's structure,and have great influence on radiative transfer of the vegetation. In this paper,POV-ray software was introduced to efficiently and accurately calculate the four components' fractions and gap fraction of three-dimensional (3D) canopies. With the good agreements of computed four components' fractions and gap fraction between POV-ray and Radiosity-Graphics combined Model (RGM) based on the same 3D canopy structure,more 3D structures generated by the Clumped Architecture Model of Plants (CLAMP) model were used to study the characteristics of four components' fractions and gap fraction. The key parameters of CLAMP model include sowing scheme,clumping index,average leaf angle (ALA) and leaf area index (LAI). By analyzing the sensitivity of these parameters to four components' fractions and gap fraction,the changing features of four components' fractions and gap fraction were found. The results show that: clumping index can effectively control the spatial distribution of leaves,which affects the relative proportion of vegetation and soil in the scene.Therefore,clumping index has a great impact on the distribution pattern of four components' fractions and gap fraction. Average leaf angle influences the anisotropy of the results. When the average leaf angle is larger,the magnitude of anisotropy is higher.Compared with other parameters,the impact of row effect on the four components' fractions and gap fraction is primary when the scene's row structure is obvious. Therefore,when the canopy is in a row structure,the characteristic change of four components' fractions and gap fraction is more complex than that of homogeneous canopy. At the same time,the results of row canopy in three typical growing stages were compared,which shows that soil has a higher contribution to the four components' fractions and gap fraction than that of vegetation at the early stage. With the increase of leaf area index,the influence of vegetation on the result is gradually enhanced and the fraction of sunlit leaves shows more apparent anisotropy. The research of this paper shows that POV-ray is a powerful tool to quantitatively study vegetation by remote sensing technology,and has potential of wider applications.