Analysis of Spectral Characteristics of Different Wetland Landscapes Based on EO-1 Hyperion

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Fig. 1. Location map of study area and Hyperion false color image

Fig. 2. The reflectance spectra of different landscapes

Fig. 3. Standard deviation curves of spectral reflectance of different landscapes

Fig. 4. First derivative spectra of different landscapes

Fig. 5. Standard deviations of first derivative spectra of different landscapes

Fig. 6. NDVI series remote sensing indexes and EVI of different landscapes

Fig. 7. GI, MCARI/OSAVI, MSR705, Chlorphyll Index RedEdge 710 indexes of different landscapes

Table 1. The number of pixels in the region of interest of each landscape type

植被指数	计算公式	文献
归一化植被指数NDVI	(R_NIR-R_Red)/(R_NIR+R_Red)	[15]
绿色归一化植被指数(GNDVI)	(R₈₀₁-R₅₅₀)/(R₈₀₀+R₅₅₀)	[16]
归一化植被指数1(NDVI1)	(R₇₆₀-R₇₀₈)/(R₇₆₀+R₇₀₈)	[17]
归一化植被指数2(NDVI2)	(R₈₀₀-R₆₀₀)/(R₈₀₀+R₆₀₀)	[18]
归一化植被指数3(NDVI3)	(R₉₀₀-R₆₈₀)/(R₉₀₀+R₆₈₀)		[19]
归一化植被指数4(NDVI4)	(R₇₈₀-R₅₅₀)/(R₇₈₀+R₅₅₀)		[20]
增强型植被指数(EVI)	2.5×((R_NIR-R_Red)/(R_NIR+6.0×R_Red -7.5×R_Blue+1))		[21]
绿度指数(GI)	R₅₅₄/R₆₇₇		[22]
改进红边比值植被指数(MSR705)	(R₇₅₀-R₄₄₅)/(R₇₀₅+R₄₄₅)		[23]
优化土壤背景信息的综合叶绿素光谱指数(MCARI/OSAVI)	[(R₇₅₀-R₇₀₅)-0.2(R₇₅₀-R₅₅₀)](R₇₅₀/R₇₀₅)/ [(1+0.16)(R₇₅₀-R₇₀₅)/(R₇₅₀+R₇₀₅+0.16)]		[24]
红边叶绿素指数710 (Chlorphyll Index RedEdge 710)	R₇₅₀/R₇₁₀-1		[25]

Table 2. The Hyperspectral Vegetation indexes used by this work

湿地景观类型	蓝边 /nm	蓝边斜率	黄边 /nm	黄边斜率	红边 /nm	红边斜率
荷田	517.92	8.70	573.44	-3.89	712.19	49.23
芦苇地	509.14	4.77	572.66	-2.82	719.25	36.10
林地	512.96	4.51	570.25	-3.33	722.04	43.63
农田-旱地	510.57	4.66	570.86	-2.55	719.73	29.09
农田-水田	507.85	5.03	567.90	-0.93	721.80	35.17
河道	503.94	6.28	565.77	2.21	704.33	3.73
湖泊鱼塘	506.66	7.16	562.62	2.75	708.03	-5.49
建筑用地	504.82	5.88	570.56	1.92	721.97	15.76

Table 3. Characteristics of three sides (blue, yellow and red) of wetland landscape

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